Rust library for fast multi-pattern searching.

Fast Multiple String Matching Using Streaming SIMD Extensions Technology

String Processing and Information Retrieval

Optimal Packed String Matching

IARCS ANNUAL CONFERENCE ON FOUNDATIONS OF SOFTWARE TECHNOLOGY AND THEORETICAL COMPUTER SCIENCE (FSTTCS 2011)

Fast and flexible packed string matching

Towards optimal packed string matching


Unsupervised Detection of Anomalous Sound Based on Deep Learning and the Neyman–Pearson Lemma

IEEE/ACM transactions on audio, speech, and language processing

Deep Learning and Its Applications to Machine Health Monitoring: A Survey

Recurrent Auto-Encoder Model for Large-Scale Industrial Sensor Signal Analysis

International Conference on Engineering Applications of Neural Networks


Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

High-Performance Large-Scale Image Recognition Without Normalization


Regularized Neural ODEs (RNODE)

How to train your neural ODE: the world of Jacobian and kinetic regularization

STaSy: Score-based Tabular data Synthesis

Multi-Resolution Continuous Normalizing Flows


MisGAN: Learning from Incomplete Data with GANs

MisGAN: Learning from Incomplete Data with Generative Adversarial Networks

Learning from Irregularly-Sampled Time Series: A Missing Data Perspective

Generative Imputation and Stochastic Prediction

Projected Latent Markov Chain Monte Carlo: Conditional Sampling of Normalizing Flows

Missingness Augmentation: A General Approach for Improving Generative Imputation Models


An OMNeT-based simulator for low-power wireless networks such as Wireless Sensor Networks and Body Area Networks

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Energy-efficient routing in the proximity of a complicated hole in wireless sensor networks

Joint Transmission Power Control and Relay Cooperation for WBAN Systems

Mutual Aid Among Sensors: An Emergency Function for Sensor Networks

An Optimized Relay Selection Technique to Improve the Communication Reliability in Wireless Sensor Networks

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

BNS: A Framework for Wireless Body Area Network Realistic Simulations

Priority and Traffic-Aware Contention-Based Medium Access Control Scheme for Multievent Wireless Sensor Networks

Cross-Layer Routing for a Mobility Support Protocol Based on Handover Mechanism in Cluster-Based Wireless Sensor Networks with Mobile Sink


a lightweight speech processing toolkit based on Pytorch and (Py)Kaldi

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition


Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)

Counterfactual Multi-Agent Policy Gradients

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Multiagent Cooperation and Competition with Deep Reinforcement Learning

Learning Nearly Decomposable Value Functions Via Communication Minimization


MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering

OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding


The official implementation of NeMo: Neural Mesh Models of Contrastive Features for Robust 3D Pose Estimation [ICLR-2021].  https://arxiv.org/pdf/2101.12378.pdf

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution
  Shifts of Individual Nuisances in Natural Images


Official PyTorch implementation of MIRO (ECCV 2022)

SWAD: Domain Generalization by Seeking Flat Minima

Domain Generalization by Mutual-Information Regularization with Pre-trained Models

CHAMMI: A benchmark for channel-adaptive models in microscopy imaging


Progressive Prompts: Continual Learning for Language Models

The Power of Scale for Parameter-Efficient Prompt Tuning

Progressive Neural Networks


Code and links for over 25,000 trained Atari agents

Rainbow: Combining Improvements in Deep Reinforcement Learning

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Dopamine: A Research Framework for Deep Reinforcement Learning

Munchausen Reinforcement Learning

Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

STORM: Efficient Stochastic Transformer based World Models for
  Reinforcement Learning


Integrated path-based and distributional method for hypernymy detection

DyNet: The Dynamic Neural Network Toolkit

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths


Creative Commons Attribution Share Alike 4.0 International

Intonation-aided intention identification for Korean

Text Implicates Prosodic Ambiguity: A Corpus for Intention Identification of the Korean Spoken Language

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Investigating an Effective Character-level Embedding in Korean Sentence Classification.

A Survey on Awesome Korean NLP Datasets


Context-Aware Attentive Knowledge Tracing

Enhancing Knowledge Tracing via Adversarial Training

MonaCoBERT: Monotonic attention based ConvBERT for Knowledge Tracing

Deep Knowledge Tracing with Learning Curves


Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588

A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset

Applications of artificial intelligence in battling against covid-19: A literature review

Automatic detection of COVID-19 from chest CT scan and chest X-Rays images using deep learning, transfer learning and stacking

Applied intelligence (Dordrecht, Netherlands)

CovH2SD: A COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning

Efficient and Visualizable Convolutional Neural Networks for COVID-19
  Classification Using Chest CT

Detecting COVID-19 from chest computed tomography scans using AI-driven android application

A stacked ensemble for the detection of COVID-19 with high recall and accuracy

Study of Different Deep Learning Methods for Coronavirus (COVID-19) Pandemic: Taxonomy, Survey and Insights

Lung image segmentation based on DRD U-Net and combined WGAN with Deep Neural Network

Computer methods and programs in biomedicine

Prognosticating various acute covid lung disorders from COVID-19 patient using chest CT Images

Engineering applications of artificial intelligence


Grouping of Lymphocyte Interactions by Paratope Hotspots

T cell receptor sequence clustering and antigen specificity

Computational and structural biotechnology journal

Identification of Specificity Groups in Myeloma Patients T Cell Receptor (TCR) Repertoire through Single Cell TCR Sequencing

Rapid T cell receptor interaction grouping with ting


Reinforcement learning for medical decisions

A Conservative Q-Learning approach for handling distribution shift in
  sepsis treatment strategies

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies


A 3'-end adapter contaminant trimmer

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads

AdapterRemoval: easy cleaning of next-generation sequencing reads

The Microbial Genomes Atlas (MiGA) webserver: taxonomic and gene diversity analysis of Archaea and Bacteria at the whole genome level

A Phylogeny of Birds Based on Over 1,500 Loci Collected by Target Enrichment and High-Throughput Sequencing

Target Capture and Massively Parallel Sequencing of Ultraconserved Elements for Comparative Studies at Shallow Evolutionary Time Scales

Sequence Capture versus Restriction Site Associated DNA Sequencing for Shallow Systematics

Phytochrome diversity in green plants and the origin of canonical plant phytochromes

Genomic inference of the metabolism of cosmopolitan subsurface Archaea, Hadesarchaea

Distinctive expansion of gene families associated with plant cell wall degradation, secondary metabolism, and nutrient uptake in the genomes of grapevine trunk pathogens


Generate authentic motion blur kernels (point spread functions) and apply them to images. Fast and Simple.

Diffusion Posterior Sampling for General Noisy Inverse Problems

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration

Prompt-tuning latent diffusion models for inverse problems

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur

Plug-and-Play split Gibbs sampler: embedding deep generative priors in
  Bayesian inference

Beyond First-Order Tweedie: Solving Inverse Problems using Latent
  Diffusion

Monitoring and Adapting the Physical State of a Camera for Autonomous Vehicles


Using advances in generative modeling to learn reward functions from unlabeled videos.

VideoGPT: Video Generation using VQ-VAE and Transformers

Mastering Diverse Domains through World Models

Video Prediction Models as Rewards for Reinforcement Learning

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

MetaSDF: Meta-learning Signed Distance Functions

Regularizing Deep Multi-Task Networks using Orthogonal Gradients

Meta-learning Spiking Neural Networks with Surrogate Gradient Descent

Improving Multi-Task Generalization via Regularizing Spurious
  Correlation

GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture Model

Jersey number detection using synthetic data in a low-data regime


Encode, Tag, Realize: High-Precision Text Editing

Unsupervised Text Style Transfer with Padded Masked Language Models

Heterogeneous Recycle Generation for Chinese Grammatical Error Correction

International Conference on Computational Linguistics


PyTorch Implementation of DCGAN trained on the CelebA dataset.

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

NIPS 2016 Tutorial: Generative Adversarial Networks

HiGitClass: Keyword-Driven Hierarchical Classification of GitHub Repositories

Backpropagating through Fréchet Inception Distance

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

Graph-based Semi-supervised Learning: A Comprehensive Review

HeteGCN: Heterogeneous Graph Convolutional Networks for Text Classification

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

Enhancing Interpretable Clauses Semantically using Pretrained Word Representation

Recursive Graphical Neural Networks for Text Classification

A Sequential Graph Neural Network for Short Text Classification


Pretrained model for self supervised histopathology

Self supervised contrastive learning for digital histopathology

Evaluating histopathology transfer learning with ChampKit

Stain-invariant self supervised learning for histopathology image
  analysis


[ICCV 2023] DiffusionRet: Generative Text-Video Retrieval with Diffusion Model

Expectation-Maximization Contrastive Learning for Compact
  Video-and-Language Representations

Video-Text as Game Players: Hierarchical Banzhaf Interaction for Cross-Modal Representation Learning

Text-Video Retrieval with Disentangled Conceptualization and Set-to-Set Alignment


Code release for "Partial Adversarial Domain Adaptation" (ECCV 2018)

Partial Adversarial Domain Adaptation


:question: Attention-based Visual Question Answering in Torch

VQA: Visual Question Answering

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

Stacked Attention Networks for Image Question Answering

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering

Overcoming Language Priors in Visual Question Answering with Adversarial Regularization


Latent space clustering in Generative Adversarial Network (GAN)

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Attentive Representation Learning With Adversarial Training for Short Text Clustering

K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent
  State-Action Pairs


RISC-V Instruction Set Simulator (Built for education).

A Survey of the RISC-V Architecture Software Support


Agricultural datasets


Matrix and Tensor Completion for Background Model Initialization

Riemannian preconditioned algorithms for tensor completion via tensor
  ring decomposition

Tensor Completion via Tensor Networks with a Tucker Wrapper


This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Boosting Adversarial Attacks with Momentum


Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning

Incorporating Sememes into Chinese Definition Modeling

Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation

Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation


This is the code for ACL paper "Cross-lingual Knowledge Graph Alignment via Graph Matching Neural Network"

SelfKG: Self-Supervised Entity Alignment in Knowledge Graphs

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

A Self-supervised Method for Entity Alignment

A Critical Assessment of State-of-the-Art in Entity Alignment


VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and Architecture Design

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone

NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level
  Quality


CompILE: Compositional Imitation Learning and Execution (ICML 2019)

Learning Task Decomposition with Ordered Memory Policy Network

Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers


[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang

Can contrastive learning avoid shortcut solutions?

A Unified Contrastive Energy-based Model for Understanding the
  Generative Ability of Adversarial Training

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present
  and Future

Enhancing Adversarial Contrastive Learning via Adversarial Invariant
  Regularization


Conservative Q Learning on top of SAC

Soft Actor-Critic Algorithms and Applications

Conservative Q-Learning for Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Planning with Diffusion for Flexible Behavior Synthesis

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling

Offline RL with No OOD Actions: In-Sample Learning via Implicit Value
  Regularization

When to Trust Your Simulator: Dynamics-Aware Hybrid Offline-and-Online
  Reinforcement Learning

Offline Reinforcement Learning at Multiple Frequencies

Survival Instinct in Offline Reinforcement Learning


[ICLR 2021] Concept Learners for Few-Shot Learning

Concept Learners for Few-Shot Learning

Domain Adaptation under Open Set Label Shift

Concept Learners for Generalizable Few-Shot Learning.


Code for paper "Document-Level Argument Extraction by Conditional Generation". NAACL 21'

Document-Level Event Argument Extraction by Conditional Generation

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

DEGREE: A Data-Efficient Generative Event Extraction Model

Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?

Role Knowledge Prompting for Document-Level Event Argument Extraction


KonIQ-10k Deep Learning Models

KonIQ-10k: An Ecologically Valid Database for Deep Learning of Blind Image Quality Assessment

EvolGAN: Evolutionary Generative Adversarial Networks

TOPIQ: A Top-down Approach from Semantics to Distortions for Image
  Quality Assessment

Tarsier: Evolving Noise Injection in Super-Resolution GANs

Critical analysis on the reproducibility of visual quality assessment using deep features


a simplified version of wav2vec(1.0, vq, 2.0) in fairseq

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

wav2vec: Unsupervised Pre-training for Speech Recognition

vq-wav2vec: Self-Supervised Learning of Discrete Speech Representations

Effectiveness of self-supervised pre-training for speech recognition


marineHeatWaves is a module for python which implements the Marine Heatwave (MHW)  definition of Hobday et al. (2016, Prog Ocean).

Longer and more frequent marine heatwaves over the past century

Projected Marine Heatwaves in the 21st Century and the Potential for Ecological Impact

Insights into projected changes in marine heatwaves from a high-resolution ocean circulation model

Threat by marine heatwaves to adaptive large marine ecosystems in an eddy-resolving model

Subseasonal prediction of the 2020 Great Barrier Reef and Coral Sea marine heatwave

Marine Heatwaves and Their Depth Structures on the Northeast U.S. Continental Shelf

Tropical western and central Pacific marine heatwave data calculated from gridded sea surface temperature observations and CMIP6

Assessing Outcomes in Stratospheric Aerosol Injection Scenarios Shortly After Deployment

The rapid rise of severe marine heat wave systems


Official implementation of paper Gradient Matching for Domain Generalization

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization
  Dilemma in Out-of-Distribution Generalization

Understanding and Improving Feature Learning for Out-of-Distribution
  Generalization


Single Hyperspectral Image Denoising, Inpainting, Super-Resolution

Hyperspectral Image Super-Resolution with Self-Supervised Spectral-Spatial Residual Network

Deep Hyperspectral Prior: Denoising, Inpainting, Super-Resolution

A General Destriping Framework for Remote Sensing Images Using Flatness Constraint

Coupling Model-Driven and Data-Driven Methods for Remote Sensing Image Restoration and Fusion


Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

Pareto Multi-Task Learning

Multi-task Self-supervised Graph Neural Networks Enable Stronger Task
  Generalization


MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

IoT and Deep Learning Based Approach for Rapid Screening and Face Mask Detection for Infection Spread Control of COVID-19

Validating the correct wearing of protection mask by taking a selfie: design of a mobile application "CheckYourMask'' to limit the spread of COVID-19

HAL (Le Centre pour la Communication Scientifique Directe)

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE transactions on artificial intelligence

Spartan Face Mask Detection and Facial Recognition System

A Deep Learning-based Approach for Real-time Facemask Detection

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives


a python implementation of various versions of the information bottleneck, including automated parameter searching

The deterministic information bottleneck

The information bottleneck and geometric clustering

Information Bottleneck as Optimisation Method for SSVEP-Based BCI


This is the pytorch implementation of Hindsight Experience Replay (HER) - Experiment on all fetch robotic environments.

Hindsight Experience Replay

Policy Architectures for Compositional Generalization in Control

Dexterous Robotic Manipulation using Deep Reinforcement Learning and
  Knowledge Transfer for Complex Sparse Reward-based Tasks

Bilinear value networks

Adaptive Multi-Goal Exploration


Implements the paper " Building End-To-End Dialogue Systems Using Generative Hierarchical Neural Network Models" by Serban et al (currently on the MovieTriples dataset)

Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks

WeaSuL: Weakly Supervised Dialogue Policy Learning: Reward Estimation for Multi-turn Dialogue

Anna: A Dapper Open-Domain Dialogue Agent Based on a Joint Attention Network


Parameterized Explainer for Graph Neural Network

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

A Survey on Graph Counterfactual Explanations: Definitions, Methods,
  Evaluation

On the Probability of Necessity and Sufficiency of Explaining Graph
  Neural Networks: A Lower Bound Optimization Approach

Globally Interpretable Graph Learning via Distribution Matching

Interpretable Prototype-based Graph Information Bottleneck


Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph-based Semi-supervised Learning: A Comprehensive Review

Generalizing Graph Neural Networks Beyond Homophily.

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Dimensional Reweighting Graph Convolutional Networks


[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

See, Hear, Explore: Curiosity via Audio-Visual Association

Implicit Generative Modeling for Efficient Exploration

Touch-based Curiosity for Sparse-Reward Tasks


conlleval in Python (script for chunking/NER evaluation)

A Survey of Joint Intent Detection and Slot Filling Models in Natural Language Understanding

Overview of CLEF 2019 Lab ProtestNews: Extracting Protests from News in
  a Cross-context Setting

Few-Shot Sequence Labeling with Label Dependency Transfer and Pair-wise Embedding

Extended Multilingual Protest News Detection -- Shared Task 1, CASE 2021
  and 2022

NSURL-2019 Task 7: Named Entity Recognition (NER) in Farsi

F10-SGD: Fast Training of Elastic-net Linear Models for Text Classification and Named-entity Recognition

Learning Functions to Study the Benefit of Multitask Learning

Utilizing coarse-grained data in low-data settings for event extraction


Reliability diagrams visualize whether a classifier model needs calibration

On Calibration of Modern Neural Networks

Uncertainty-aware Evaluation of Time-Series Classification for Online
  Handwriting Recognition with Domain Shift

Going Beyond One-Hot Encoding in Classification: Can Human Uncertainty
  Improve Model Performance?

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions


Disentagnled Graph Collaborative Filtering, SIGIR2020

Disentangled Graph Collaborative Filtering

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Graph Trend Filtering Networks for Recommendation

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Initialization Matters: Regularizing Manifold-informed Initialization for Neural Recommendation Systems


The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

An Evaluation of Change Point Detection Algorithms

Sequential Gaussian Processes for Online Learning of Nonstationary Functions


Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R. Hennequin, M. Vazirgiannis) + k-core framework implementation from IJCAI 2019 article "A Degeneracy Framework for Scalable Graph Autoencoders" (G. Salha, R. Hennequin, V.A. Tran, M. Vazirgiannis)

Variational Graph Auto-Encoders

Simple and Effective Graph Autoencoders with One-Hop Linear Models


code for IJCAI2015 paper "Network Representation Learning with Rich Text Information"

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Multi-View Network Representation Learning Algorithm Research

Semantic Random Walk for Graph Representation Learning in Attributed
  Graphs


A Modular Library for Off-Policy Reinforcement Learning with a focus on SafeRL and distributed computing

Continuous control with deep reinforcement learning

Distributed Distributional Deterministic Policy Gradients


deepfake dataset collected on the web for deepfake detection

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

DFDT: An End-to-End DeepFake Detection Framework Using Vision Transformer

A Review of Deep Learning-based Approaches for Deepfake Content Detection

Deepfakes Generation and Detection: A Short Survey


Dynamic Key-Value Memory Networks for Knowledge Tracing

Knowledge Query Network for Knowledge Tracing

Modeling Hint-Taking Behavior and Knowledge State of Students with Multi-Task Learning

Student Performance Prediction Using Dynamic Neural Models

Deep Knowledge Tracing with Learning Curves


Revisiting Video Saliency: A Large-scale Benchmark and a New Model (CVPR18, PAMI19)

Revisiting Video Saliency Prediction in the Deep Learning Era

IEEE transactions on pattern analysis and machine intelligence

When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

A Fast Smart-Cropping Method and Dataset for Video Retargeting

International Conference on Information Photonics


Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Anomaly Detection with Deviation Networks

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection


keras implementation of inflated 3d from Quo Vardis paper + weights

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Accuracy and Performance Comparison of Video Action Recognition Approaches

IEEE High Performance Extreme Computing Conference

Surgical Gesture Recognition in Laparoscopic Tasks Based on the Transformer Network and Self-Supervised Learning

SummaryNet: A Multi-Stage Deep Learning Model for Automatic Video Summarisation

Interaction Model and Respect of Rules to Enhance Collaborative Brainstorming Results

Advances in science, technology and engineering systems journal

Video Action Recognition Using spatio-temporal optical flow video frames


PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

PointPainting: Sequential Fusion for 3D Object Detection

IoU Loss for 2D/3D Object Detection

PandaSet: Advanced Sensor Suite Dataset for Autonomous Driving

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Learning to Optimally Segment Point Clouds

Detecting and Mapping Trees in Unstructured Environments with a Stereo Camera and Pseudo-Lidar

A Density-Aware PointRCNN for 3D Object Detection in Point Clouds


Korean Parallel Corpus

Natural Language Understanding with Distributed Representation

UPC: An Open Word-Sense Annotated Parallel Corpora for Machine Translation Study

Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition

Meeting of the Association for Computational Linguistics


Data2Vis: Automatic Generation of Data Visualizations Using Sequence to Sequence Recurrent Neural Networks

Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks

Table2Charts: Recommending Charts by Learning Shared Table Representations

Machine Learning for Visualization Recommendation Systems: Open
  Challenges and Future Directions


"Zero-Shot" Super-Resolution using Deep Internal Learning

Degradation-Guided Meta-Restoration Network for Blind Super-Resolution

Unsupervised Single-Image Super-Resolution with Multi-Gram Loss

Unsupervised Remote Sensing Super-Resolution via Migration Image Prior

Self-supervised Fine-tuning for Correcting Super-Resolution Convolutional Neural Networks

Kernelized Back-Projection Networks for Blind Super Resolution


Running the code you want to write as fast as the code you have to write

Automatic differentiation in machine learning: a survey

Automatic differentiation in ML: Where we are and where we should be going

Automatic Differentiation of Algorithms for Machine Learning


Code for CVPR 2022 paper "Multi-Class Token Transformer for Weakly Supervised Semantic Segmentation"

Multi-class Token Transformer for Weakly Supervised Semantic Segmentation

MCTformer+: Multi-Class Token Transformer for Weakly Supervised Semantic
  Segmentation

All-pairs Consistency Learning for Weakly Supervised Semantic Segmentation


Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.

Denoising Diffusion Probabilistic Models

WaveGrad: Estimating Gradients for Waveform Generation

A Survey on Neural Speech Synthesis

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

Non Gaussian Denoising Diffusion Models

InferGrad: Improving Diffusion Models for Vocoder by Considering
  Inference in Training

Denoising Diffusion Gamma Models


Counter-fitting Word Vectors to Linguistic Constraints

SimVerb-3500: A Large-Scale Evaluation Set of Verb Similarity

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation

Conference of the European Chapter of the Association for Computational Linguistics

Evaluation of taxonomic and neural embedding methods for calculating semantic similarity


Implementation of the Pairwise Sequentially Markovian Coalescent (PSMC) model

Temporal Dynamics of Avian Populations during Pleistocene Revealed by Whole-Genome Sequences

PSMC analysis of effective population sizes in molecular ecology and its application to black-and-white Ficedula flycatchers

Demographic Divergence History of Pied Flycatcher and Collared Flycatcher Inferred from Whole-Genome Re-sequencing Data

The tuatara genome reveals ancient features of amniote evolution

The Genomic Footprints of the Fall and Recovery of the Crested Ibis

Antarctic blackfin icefish genome reveals adaptations to extreme environments

Reference genome and demographic history of the most endangered marine mammal, the vaquita

Genome sequence of the basal haplorrhine primate Tarsius syrichta reveals unusual insertions

Genomic basis of homoploid hybrid speciation within chestnut trees

The genomics of ecological flexibility, large brains, and long lives in capuchin monkeys revealed with fecalFACS

Proceedings of the National Academy of Sciences of the United States of America


使用深度学习方法解析问题 知识图谱存储 查询知识点 基于医疗垂直领域的对话系统

Convolutional Neural Networks for Sentence Classification

Bidirectional LSTM-CRF Models for Sequence Tagging

ClinicalGPT: Large Language Models Finetuned with Diverse Medical Data
  and Comprehensive Evaluation


Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep Rival Penalized Competitive Learning for Low-resolution Face
  Recognition

3D-FM GAN: Towards 3D-Controllable Face Manipulation

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Livestock Identification Using Deep Learning for Traceability

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance
  Fields using Geometry-Guided Text-to-Image Diffusion Model

Synthetic Data for the Mitigation of Demographic Biases in Face Recognition

Face representation by deep learning: a linear encoding in a parameter space?


LaFIn: Generative Landmark Guided Face Inpainting

Image Inpainting for Irregular Holes Using Partial Convolutions


Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)

Neural Arithmetic Units

A Primer for Neural Arithmetic Logic Modules


Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)

Adversarial Attacks on Neural Network Policies

Learning to Act by Predicting the Future


target speaker extraction and verification for multi-talker speech

SpEx: Multi-Scale Time Domain Speaker Extraction Network

IEEE/ACM transactions on audio, speech, and language processing

Optimization of Speaker Extraction Neural Network with Magnitude and Temporal Spectrum Approximation Loss

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech


Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

Feature Denoising for Improving Adversarial Robustness

Adversarial Attacks and Defences Competition

The Springer series on challenges in machine learning

Exploiting Deep Generative Prior for Versatile Image Restoration and Manipulation

Adversarial Transformation Networks: Learning to Generate Adversarial Examples


The reference implementation of "Multi-scale Attributed Node Embedding".  (Journal of Complex Networks 2021)

Multi-scale Attributed Node Embedding

Evaluating Node Embeddings of Complex Networks

AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing

Scalable Deep Gaussian Markov Random Fields for General Graphs

Feature Expansion for Graph Neural Networks


Tensorflow implementation of conditional Generative Adversarial Networks (cGAN) and conditional Deep Convolutional Adversarial Networks (cDCGAN) for MANIST dataset.

Conditional Generative Adversarial Nets

Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review

Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)


The source code of HeCo

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Data Augmentation on Graphs: A Technical Survey


The project is an official implementation of our CVPR2020 paper "Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction"

Attention Mechanism Exploits Temporal Contexts: Real-Time 3D Human Pose Reconstruction

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based Neural Network with Dilated Convolutions


Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction

International Conference on Machine Learning

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition

Dual IV: A Single Stage Instrumental Variable Regression.

Markdowns in E-Commerce Fresh Retail: A Counterfactual Prediction and Multi-Period Optimization Approach

Instrumental Variables in Causal Inference and Machine Learning: A
  Survey

Causal Inference with Conditional Instruments using Deep Generative
  Models


Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

Knowing What, How and Why: A Near Complete Solution for Aspect-based Sentiment Analysis

Position-Aware Tagging for Aspect Sentiment Triplet Extraction

Bidirectional Machine Reading Comprehension for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction Using Reinforcement Learning

Tell Me Why You Feel That Way: Processing Compositional Dependency for Tree-LSTM Aspect Sentiment Triplet Extraction (TASTE)

STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction

Explicit Interaction Network for Aspect Sentiment Triplet Extraction


DBMDZ BERT, DistilBERT, ELECTRA, GPT-2 and ConvBERT models

Masked Language Model Scoring

German's Next Language Model

An Effective BERT-Based Pipeline for Twitter Sentiment Analysis: A Case Study in Italian

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias.

GottBERT: a pure German Language Model

Mitigating Language-Dependent Ethnic Bias in BERT

BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation

Czert -- Czech BERT-like Model for Language Representation

Constructing Taxonomies from Pretrained Language Models

Neural reality of argument structure constructions


PyTorch implementation of GAIL and AIRL based on PPO.

Proximal Policy Optimization Algorithms

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning


Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification.

A Richly Annotated Dataset for Pedestrian Attribute Recognition

Rethinking of Pedestrian Attribute Recognition: Realistic Datasets with Efficient Method

Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation
  under Zero-Shot Pedestrian Identity Setting

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception


A PyTorch implementation of the Deep SVDD anomaly detection method

Deep One-Class Classification

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Ensemble Deep Learning for Cervix Image Selection toward Improving Reliability in Automated Cervical Precancer Screening

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques

Data-Driven Robust Optimization using Unsupervised Deep Learning

Anomaly Crossing: New Horizons for Video Anomaly Detection as
  Cross-domain Few-shot Learning

Meta Learning for Few-Shot One-class Classification

FROCC: Fast Random projection-based One-Class Classification

Unsupervised anomaly detection algorithms on real-world data: how many
  do we need?

Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics

2022 IEEE International Conference on Data Mining Workshops (ICDMW)


Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

Out-of-Distribution Detection with Deep Nearest Neighbors

From Global to Local: Multi-scale Out-of-distribution Detection

Nearest Neighbor Guidance for Out-of-Distribution Detection


Unofficial Implementation of MLP-Mixer, gMLP, resMLP, Vision Permutator, S2MLP, S2MLPv2, RaftMLP, HireMLP, ConvMLP, AS-MLP, SparseMLP, ConvMixer, SwinMLP, RepMLPNet, WaveMLP, MorphMLP, DynaMixer, MS-MLP, Sequencer2D in Jittor and PyTorch! Now, Rearrange and Reduce in einops.layers.jittor are support!! trunc_normal_ is supported for Jittor!! MLP Paper is uploaded!

MLP-Mixer: An all-MLP Architecture for Vision

ResMLP: Feedforward networks for image classification with
  data-efficient training

Pay Attention to MLPs

Global Filter Networks for Image Classification

CycleMLP: A MLP-like Architecture for Dense Prediction

AS-MLP: An Axial Shifted MLP Architecture for Vision

An Image Patch is a Wave: Phase-Aware Vision MLP

Hire-MLP: Vision MLP via Hierarchical Rearrangement

Sparse MLP for Image Recognition: Is Self-Attention Really Necessary?

Are we ready for a new paradigm shift? A Survey on Visual Deep MLP


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


An open dataset for object detection in remote sensing images

A Novel Effectively Optimized One-Stage Network for Object Detection in Remote Sensing Imagery

Aircraft Detection in High Spatial Resolution Remote Sensing Images Combining Multi-Angle Features Driven and Majority Voting CNN

RS-YOLOX: A High-Precision Detector for Object Detection in Satellite Remote Sensing Images

CBA: Contextual Background Attack Against Optical Aerial Detection in the Physical World

A Novel Method of Aircraft Detection under Complex Background Based on Circular Intensity Filter and Rotation Invariant Feature

YOLO-DSD: A YOLO-Based Detector Optimized for Better Balance between Accuracy, Deployability and Inference Time in Optical Remote Sensing Object Detection

A Small Object Detection Algorithm Based on Modulated Deformable Convolution and Large Kernel Convolution

Computational intelligence and neuroscience


categorical variational autoencoder using the Gumbel-Softmax estimator

Categorical Reparameterization with Gumbel-Softmax

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables


Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

Super Characters: A Conversion from Sentiment Classification to Image Classification

More Than Words: Collocation Retokenization for Latent Dirichlet Allocation Models

Findings of the Association for Computational Linguistics: ACL 2022


GraphVite: A General and High-performance Graph Embedding System

Graph Neural Networks: A Review of Methods and Applications

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning


Efficient Architecture Search by Network Transformation, in AAAI 2018

Path-Level Network Transformation for Efficient Architecture Search

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning


MeLU: Meta-Learned User Preference Estimator for Cold-Start Recommendation

MAMO: Memory-Augmented Meta-Optimization for Cold-start Recommendation

Task-adaptive Neural Process for User Cold-Start Recommendation

A Semi-Personalized System for User Cold Start Recommendation on Music Streaming Apps

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder

Cross-Domain Meta-Learner for Cold-Start Recommendation

IEEE transactions on knowledge and data engineering


Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT

BERT-ATTACK: Adversarial Attack Against BERT Using BERT

Towards a Robust Deep Neural Network in Texts: A Survey


Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus.

Bullshark: DAG BFT Protocols Made Practical

Shoal: Improving DAG-BFT Latency And Robustness

Scaling Blockchain Consensus via a Robust Shared Mempool


Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

A Survey on Text Classification: From Shallow to Deep Learning

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering

MetaTroll: Few-shot Detection of State-Sponsored Trolls with Transformer Adapters


Hiera: A fast, powerful, and simple hierarchical vision transformer.

Deep Residual Learning for Image Recognition

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Masked Autoencoders Are Scalable Vision Learners

Multiscale Vision Transformers

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles


The global fossil fuel supply chain, mapped at the asset-level.


A MATLAB toolbox for iPPG analysis.  The toolbox includes implementations of commonly used methods.

iPhys: An Open Non-Contact Imaging-Based Physiological Measurement Toolbox

Camera Measurement of Physiological Vital Signs

rPPG-Toolbox: Deep Remote PPG Toolbox

Neuron Structure Modeling for Generalizable Remote Physiological Measurement


The code for paper "CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning"

Prototype Mixture Models for Few-shot Semantic Segmentation

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures


TensorFlow implementation of focal loss

Focal Loss for Dense Object Detection

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer

A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in
  Electron Tomography of Catalytic Materials


Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

Causal Discovery with Attention-Based Convolutional Neural Networks

Machine learning and knowledge extraction

Economy Statistical Recurrent Units For Inferring Nonlinear Granger Causality

Interpretable Models for Granger Causality Using Self-explaining Neural Networks

Benchmarking of Data-Driven Causality Discovery Approaches in the Interactions of Arctic Sea Ice and Atmosphere

Entropy-Based Discovery of Summary Causal Graphs in Time Series

Inductive Granger Causal Modeling for Multivariate Time Series


Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

Graph Neural Network for Traffic Forecasting: A Survey

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction

Graph Neural Rough Differential Equations for Traffic Forecasting

Graph-Free Learning in Graph-Structured Data: A More Efficient and
  Accurate Spatiotemporal Learning Perspective


Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions

Gradient conjugate priors and multi-layer neural networks

Pairing an arbitrary regressor with an artificial neural network estimating aleatoric uncertainty

Genome-wide analysis of yeast expression data based on a priori generated co-regulation cliques


Text classification using a convolutional neural network.

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Did You Really Just Have a Heart Attack? Towards Robust Detection of Personal Health Mentions in Social Media

On the Downstream Performance of Compressed Word Embeddings

Understanding the Downstream Instability of Word Embeddings

Adversarial Mixing Policy for Relaxing Locally Linear Constraints in Mixup

Generalized Optimal Linear Orders


Easily fine tune GPT-2 to fill in missing text

Enabling Language Models to Fill in the Blanks

Euphemistic Phrase Detection by Masked Language Model

Phrase-level Textual Adversarial Attack with Label Preservation

InFillmore: Frame-Guided Language Generation with Bidirectional Context


An interface to and, in time, a Python reimplementation of the ROUGE package for evaluating summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Building Legal Case Retrieval Systems with Lexical Matching and Summarization using A Pre-Trained Phrase Scoring Model

International Conference on Artificial Intelligence and Law

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Global Optimization under Length Constraint for Neural Text Summarization

Denoising based Sequence-to-Sequence Pre-training for Text Generation

Out of the BLEU: How should we assess quality of the Code Generation models?

Improving Unsupervised Extractive Summarization with Facet-Aware Modeling

Transformer-based Model for Single Documents Neural Summarization

Empirical Methods in Natural Language Processing

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization

A Spectral Method for Unsupervised Multi-Document Summarization

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)


Implementation of AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Feature Interaction Interpretability: A Case for Explaining
  Ad-Recommendation Systems via Neural Interaction Detection

Explainable Enterprise Credit Rating via Deep Feature Crossing Network


Initial public release of code, data, and model weights for FourCastNet

FourCastNet: A Global Data-driven High-resolution Weather Model using
  Adaptive Fourier Neural Operators

Accurate medium-range global weather forecasting with 3D neural networks

FourCastNeXt: Improving FourCastNet Training with Limited Compute

Verification against in-situ observations for Data-Driven Weather
  Prediction

Neural Operator: Is data all you need to model the world? An insight
  into the impact of Physics Informed Machine Learning


Official pytorch implementation of StyleMapGAN (CVPR 2021)

Progressive Growing of GANs for Improved Quality, Stability, and Variation

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

IA-FaceS: A Bidirectional Method for Semantic Face Editing


Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

Learning Correspondence from the Cycle-Consistency of Time

Unsupervised Learning of Dense Visual Representations


PyTorch Face Recognizer based on 'VGGFace2: A dataset for recognising faces across pose and age'

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Deep Learning for Face Recognition: Pride or Prejudiced?

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database

Latent Diffusion Counterfactual Explanations


I^2SB: Image-to-Image Schrödinger Bridge

Direct Diffusion Bridge using Data Consistency for Inverse Problems


DeepDTA: deep drug–target binding affinity prediction

Self-Attention Based Molecule Representation for Predicting Drug-Target Interaction

WideDTA: prediction of drug-target binding affinity

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction

ATOM3D: Tasks On Molecules in Three Dimensions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Compression strategies and space-conscious representations for deep neural networks

Applications of Deep Learning and Machine Learning in Computational Medicine

A chemical language based approach for protein - ligand interaction prediction.


A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and uses these embeddings to train a deep learning model to generate Magic: The Gathering cards using Keras

TCS Research at SemEval-2018 Task 1: Learning Robust Representations using Multi-Attention Architecture

North American Chapter of the Association for Computational Linguistics

Ontology Matching Using Convolutional Neural Networks

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Hybrid Feature Model for Emotion Recognition in Arabic Text

dpUGC: Learn Differentially Private Representation for User Generated Contents

Matching sensor ontologies through siamese neural networks without using reference alignment

Learning representations for sentiment classification using Multi-task framework

Related Tasks can Share! A Multi-task Framework for Affective language


PyTorch package for the discrete VAE used for DALL·E.

Zero-Shot Text-to-Image Generation

BEiT: BERT Pre-Training of Image Transformers

Vector-quantized Image Modeling with Improved VQGAN

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

Corrupted Image Modeling for Self-Supervised Visual Pre-Training

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Rejecting Cognitivism: Computational Phenomenology for Deep Learning

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model


Hateful Symbols or Hateful People? Predictive Features for Hate Speech Detection on Twitter

A Survey on Hate Speech Detection using Natural Language Processing

Proceedings of the Fifth International Workshop on Natural Language
          Processing for Social Media

Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science

Transactions of the Association for Computational Linguistics

Are You a Racist or Am I Seeing Things? Annotator Influence on Hate Speech Detection on Twitter

Benchmarking Aggression Identification in Social Media

International Conference on Computational Linguistics

Challenges in Discriminating Profanity from Hate Speech

A Hierarchically-Labeled Portuguese Hate Speech Dataset

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling

Deep Learning Models for Multilingual Hate Speech Detection

Detecting Hate Speech and Offensive Language on Twitter using Machine Learning: An N-gram and TFIDF based Approach


Official Code for "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents"

VirtualHome: Simulating Household Activities via Programs

On the Tool Manipulation Capability of Open-source Large Language Models


The official repo for [CVPR'23] "DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text Spotting" & [ArXiv'23] "DeepSolo++: Let Transformer Decoder with Explicit Points Solo for Multilingual Text Spotting"

DPText-DETR: Towards Better Scene Text Detection with Dynamic Points in Transformer


Explainability for Vision Transformers

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Training data-efficient image transformers & distillation through attention

Quantifying Attention Flow in Transformers

Epileptic seizure detection by using interpretable machine learning models


A library for drawing space-filling curves like the Hilbert Curve.

A Survey on Cross-Architectural IoT Malware Threat Hunting

Lightweight IoT Malware Detection Solution Using CNN Classification

Image-based Malware Classification: A Space Filling Curve Approach

Best-Effort Adversarial Approximation of Black-Box Malware Classifiers


A general-purpose BFT state machine replication library with modularity and simplicity, suitable for building hybrid consensus cryptocurrencies.

Basil: Breaking up BFT with ACID (transactions)

Symposium on Operating Systems Principles

FnF-BFT: Exploring Performance Limits of BFT Protocols

Mir-BFT: High-Throughput Robust BFT for Decentralized Networks

[Solution] Mir-BFT: Scalable and Robust BFT for Decentralized Networks

Be Aware of Your Leaders

Dissecting the Performance of Chained-BFT

IA-CCF: Individual Accountability for Permissioned Ledgers

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems

PAC: Practical Accountability for CCF.

Consensus Beyond Thresholds: Generalized Byzantine Quorums Made Live


Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

UG 2 Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments.

A Review of Detection and Removal of Raindrops in Automotive Vision Systems

Restoring Raindrops Using Attentive Generative Adversarial Networks

Towards Unified Deep Image Deraining: A Survey and A New Benchmark


A code generation dataset for generating the code that implements Hearthstone and Magic The Gathering card effects.

Latent Predictor Networks for Code Generation

Deep Learning for Source Code Modeling and Generation

Deep Learning Based Code Generation Methods: A Literature Review


Ollie is a open information extractor that uses bootstrapped dependency paths.

More than Word Cooccurrence: Exploring Support and Opposition in International Climate Negotiations with Semantic Parsing

Towards an Automated Requirements-driven Development of Smart Cyber-Physical Systems

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models


The  AAAI-2020 Paper(Oral):"TANet: Robust 3D Object Detection from Point Clouds with Triple Attention"

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

CenterNet3D: An Anchor Free Object Detector for Point Cloud

IEEE transactions on intelligent transportation systems


PyTorch implementation of DeepLabv3

Rethinking Atrous Convolution for Semantic Image Segmentation

Coherent Probabilistic Aggregate Queries on Long-horizon Forecasts

Growing Efficient Deep Networks by Structured Continuous Sparsification

INTERN: A New Learning Paradigm Towards General Vision

Deep learning fetal ultrasound video model match human observers in biometric measurements

Multi-Task Pruning for Semantic Segmentation Networks


Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification


Language Models Can See: Plugging Visual Controls in Text Generation

A Contrastive Framework for Neural Text Generation

ZeroGen: Zero-shot Multimodal Controllable Text Generation with Multiple
  Oracles


My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

Graph Attention Networks

How Attentive are Graph Attention Networks?

Fake News Detection on Social Media using Geometric Deep Learning

Coneheads: Hierarchy Aware Attention


Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Conceptualized Representation Learning for Chinese Biomedical Text
  Mining

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba


Conditional Image Synthesis With Auxiliary Classifier GANs

Evaluation Metrics for Conditional Image Generation

International journal of computer vision

Manifold Topology Divergence: a Framework for Comparing Data Manifolds


Meta-Learning with Differentiable Convex Optimization (CVPR 2019 Oral)

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation

Few-Shot Classification with Feature Map Reconstruction Networks

Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation

Learning an Explicit Hyperparameter Prediction Function Conditioned on
  Tasks

Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning


A service that lists all available and registered STAC catalogs and APIs.


PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

Weakly Supervised Attention-based Models Using Activation Maps for
  Citrus Mite and Insect Pest Classification

Minimizing Supervision in Multi-label Categorization


Import Air Quality Monitoring Data in a Fast and Easy Way

Spatial heterogeneity of air pollution statistics in Europe


Simple pytorch implementation of FGSM and I-FGSM

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Adversarial Attack and Defense on Graph Data: A Survey

Adaptive Wiener Filter and Natural Noise to Eliminate Adversarial Perturbation

A Variational Dirichlet Framework for Out-of-Distribution Detection

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.

Zero Stability Well Predicts Performance of Convolutional Neural Networks

Comparing the robustness of modern no-reference image- and video-quality
  metrics to adversarial attacks

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


A repository for the GLEAM 4-Jy (G4Jy) Sample

The GLEAM 4-Jy (G4Jy) Sample: I. Definition and the catalogue

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

The GLEAM 4-Jy (G4Jy) Sample: II. Host galaxy identification for individual sources

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

Monthly Notices of the Royal Astronomical Society


Deep clustering for seismic signals (icequakes and earthquakes)

Unsupervised Deep Embedding for Clustering Analysis

Unsupervised Deep Clustering of Seismic Data: Monitoring the Ross Ice Shelf, Antarctica

Journal of geophysical research. Solid earth

Deep Clustering to Identify Sources of Urban Seismic Noise in Long Beach, California


Repo for my Master Thesis at ULiège in 2019 (Machine learning under resource constraints)

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

MorphNet: Fast & Simple Resource-Constrained Structure Learning of Deep Networks

A Closer Look at Structured Pruning for Neural Network Compression


INSPIIRED: A Pipeline for Quantitative Analysis of Sites of New DNA Integration in Cellular Genomes

Molecular therapy. Methods & clinical development

CAR Density Influences Antitumoral Efficacy of BCMA CAR-T Cells and Correlates with Clinical Outcome


False discovery rate regression

Covariate Adaptive False Discovery Rate Control With Applications to Omics-Wide Multiple Testing

Two-Component Mixture Model in the Presence of Covariates

ZAP: Z-value Adaptive Procedures for False Discovery Rate Control with
  Side Information


Trim, Align to genome, Deduplicate, Realign WGS sequencing samples

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Genome assembly, structural variants, and genetic differentiation between Lake Whitefish young species pairs (Coregonus sp.) with long and short reads

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides).


[CVPR 2022--Oral] Restormer: Efficient Transformer for High-Resolution Image Restoration. SOTA  for motion deblurring, image deraining, denoising (Gaussian/real data), and defocus deblurring.

Multi-Stage Progressive Image Restoration

Learning Enriched Features for Fast Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

OpenAGI: When LLM Meets Domain Experts

Formal-LLM: Integrating Formal Language and Natural Language for
  Controllable LLM-based Agents

Spatially Varying Exposure with 2-by-2 Multiplexing: Optimality and
  Universality

Prompt-In-Prompt Learning for Universal Image Restoration


Communication-Efficient Learning of Deep Networks from Decentralized Data

Source Inference Attacks in Federated Learning

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them


Evaluation of BEIR Datasets using ColBERT retrieval model

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Relevance-guided Supervision for OpenQA with ColBERT

Soft Prompt Tuning for Augmenting Dense Retrieval with Large Language
  Models


XLNet: Generalized Autoregressive Pretraining for Language Understanding

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Aspect-based Sentiment Analysis with Type-aware Graph Convolutional Networks and Layer Ensemble

Enhancing Aspect-level Sentiment Analysis with Word Dependencies

Conference of the European Chapter of the Association for Computational Linguistics

Improving Constituency Parsing with Span Attention


Neural network based lemmatizer for Finnish language

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Effective Approaches to Attention-based Neural Machine Translation

Nefnir: A high accuracy lemmatizer for Icelandic


Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

Single-Cell Transcriptomics Bioinformatics and Computational Challenges

Temporal mixture modelling of single-cell RNA-seq data resolves a CD4+ T cell fate bifurcation


VISIbility Based Line Extraction

The First Detection of 13C17O in a Protoplanetary Disk: A Robust Tracer of Disk Gas Mass

Detecting Weak Spectral Lines in Interferometric Data through Matched Filtering

An Unbiased ALMA Spectral Survey of the LkCa 15 and MWC 480 Protoplanetary Disks

Dust Continuum Emission and the Upper Limit Fluxes of Submillimeter Water Lines of the Protoplanetary Disk around HD 163296 Observed by ALMA

The Excitation Conditions of CN in TW Hya


Code to model the secular evolution of a hierarchical multiple system

Formation and Merging of Mass Gap Black Holes in Gravitational-wave Merger Events from Wide Hierarchical Quadruple Systems

Was GW190412 Born from a Hierarchical 3 + 1 Quadruple Configuration?

Multiple Stellar Evolution: a population synthesis algorithm to model the stellar, binary, and dynamical evolution of multiple-star systems

Monthly notices of the Royal Astronomical Society

First- and second-generation black hole and neutron star mergers in 2+2 quadruples: population statistics

Properties of von Zeipel-Lidov-Kozai oscillations in triple systems at the quadrupole order: relaxing the test particle approximation

Secular dynamics of hierarchical multiple systems composed of nested binaries, with an arbitrary number of bodies and arbitrary hierarchical structure – III. Suborbital effects: hybrid integration techniques and orbit-averaging corrections

A census of main-sequence interactions in the Multiple Star Catalogue


The SOLAR blackbox optimization problem

Quantifying uncertainty with ensembles of surrogates for blackbox optimization

Sequential stochastic blackbox optimization with zeroth-order gradient estimators


A scalable variant calling and benchmarking framework supporting both short and long reads.

Natural variants suppress mutations in hundreds of essential genes

Spontaneous Mutation Rates and Spectra of Respiratory-Deficient Yeast


Erasing Concepts from Diffusion Models

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion
  Models


[FG 2019 Oral] Attribute-Guided Sketch Generation

AttentionGAN: Unpaired Image-to-Image Translation Using Attention-Guided Generative Adversarial Networks

Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation

Attribute-Guided Sketch Generation


Genome assembly soft-masking using Red (REpeat Detector)

The Genome of the Margined White Butterfly (Pieris macdunnoughii): Sex Chromosome Insights and the Power of Polishing with PoolSeq Data

Comparative Genome Analysis Across 128 Phytophthora Isolates Reveal Species-Specific Microsatellite Distribution and Localized Evolution of Compartmentalized Genomes


Code and Swedish pre-trained models for BERT

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Building a Swedish Question-Answering Model

Passive and Active Network Measurement Conference


Official implementation of the papers: Optimal Estimation of Generic Dynamics by Path-Dependent Neural Jump ODEs; Extending Path-Dependent NJ-ODEs to Noisy Observations and a Dependent Observation Framework

Latent ODEs for Irregularly-Sampled Time Series

GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series


Fault-tolerant, high-level quantum circuits: form, compilation and description

Synthesis of Arbitrary Quantum Circuits to Topological Assembly: Systematic, Online and Compact

Controlling distilleries in fault-tolerant quantum circuits: problem statement and analysis towards a solution

Faster manipulation of large quantum circuits using wire label reference diagrams


Calculate white dwarfs ages from effective temperature and surface gravity.

Gyro-Kinematic Ages for around 30,000 Kepler Stars

TESS Hunt for Young and Maturing Exoplanets (THYME). VII. Membership, Rotation, and Lithium in the Young Cluster Group-X and a New Young Exoplanet

The POKEMON Speckle Survey of Nearby M Dwarfs. I. New Discoveries

Discovery of 34 Low-mass Comoving Systems Using NOIRLab Source Catalog DR2


Blockchain Activities of Amrita TIFAC Cyber

Survey of consensus protocols on blockchain applications

International Conference on Advanced Computing

Redactable Blockchain using Enhanced Chameleon Hash Function

Secure Digital Service Payments using Zero Knowledge Proof in Distributed Network

Securing Firmware in Internet of Things using Blockchain

Blockchain Framework for Social Media DRM Based on Secret Sharing

Smart innovation, systems and technologies

A Study on the Corda and Ripple Blockchain Platforms

Advances in intelligent systems and computing

Blockchain based Smart Contracts in Automation of Shipping Ports

PROCEEDINGS OF THE 6TH INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2021)

Runtime Verification and Vulnerability Testing of Smart Contracts

Communications in computer and information science

Fraud Detection in Medical Insurance Claim with Privacy Preserving Data Publishing in TLS-N Using Blockchain


Vision based algorithms for falsification of convolutional neural networks

Feature-Guided Black-Box Safety Testing of Deep Neural Networks

A game-based approximate verification of deep neural networks with provable guarantees

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm


GWsky defines a sequence of Fields of View (FoV) from a fixed position over the sky

Implications of the search for optical counterparts during the second part of the Advanced LIGO's and Advanced Virgo's third observing run: lessons learned for future follow-up observations

Search for the optical counterpart of the GW170814 gravitational wave event with the VLT Survey Telescope

Gravitational Waves optical follow-up at VST

Multi Order Coverage data structure to plan multi-messenger observations


Code deobfuscation framework to simplify Mixed Boolean-Arithmetic (MBA) expressions

Binary Code Similarity Detection

Efficient Deobfuscation of Linear Mixed Boolean-Arithmetic Expressions


ImageJ plugin detecting and colocalizing particles of given size (vesicles, dots, etc on biological microscopy images)

The HAUS Complex Is a Key Regulator of Non-centrosomal Microtubule Organization during Neuronal Development

Single-Molecule FISH Reveals Non-selective Packaging of Rift Valley Fever Virus Genome Segments

Complement C1q-dependent excitatory and inhibitory synapse elimination by astrocytes and microglia in Alzheimer’s disease mouse models

Kinesin-4 KIF21B is a potent microtubule pausing factor

Pyrrole Hemithioindigo Antimitotics with Near-Quantitative Bidirectional Photoswitching Photocontrol Cellular Microtubule Dynamics with Single-Cell Precision

Angewandte Chemie (International ed. in English)

Meiotic cohesins mediate initial loading of HORMAD1 to the chromosomes and coordinate SC formation during meiotic prophase

Designing a chemical inhibitor for the AAA protein spastin using active site mutations

Integrin Binding Dynamics Modulate Ligand-Specific Mechanosensing in Mammary Gland Fibroblasts

Neuron-Specific Gene 2 (NSG2) Encodes an AMPA Receptor Interacting Protein That Modulates Excitatory Neurotransmission

In vivo photocontrol of microtubule dynamics and integrity, migration and mitosis, by the potent GFP-imaging-compatible photoswitchable reagents SBTubA4P and SBTub2M


Entropy estimator

Minimax Rates of Entropy Estimation on Large Alphabets via Best Polynomial Approximation

INSPECTRE: Privately Estimating the Unseen

The journal of privacy and confidentiality

Efficient Bayesian network structure learning via local Markov boundary search

Neural Joint Entropy Estimation


A system-level domain-specific systems-on-chip simulation framework

DS3: A System-Level Domain-Specific System-on-Chip Simulation Framework

Performant, Multi-objective Scheduling of Highly Interleaved Task Graphs
  on Heterogeneous System on Chip Devices


Code and data to the publication "SpikE: spike-based embeddings for multi-relational graph data".

Learning Through Structure: Towards Deep Neuromorphic Knowledge Graph Embeddings

Neuro-symbolic computing with spiking neural networks


Repository for the ERA-NUTS dataset.

ERA-NUTS: time-series based on C3S ERA5 for European regions

Zenodo (CERN European Organization for Nuclear Research)


Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Image quality assessment for machine learning tasks using meta-reinforcement learning

Adaptable image quality assessment using meta-reinforcement learning of task amenability

Image quality assessment by overlapping task-specific and task-agnostic measures: application to prostate multiparametric MR images for cancer segmentation

The journal of machine learning for biomedical imaging


Diversification of Rosaceae since the Late Cretaceous based on plastid phylogenomics

The Implications of Incongruence between Gene Tree and Species Tree Topologies for Divergence Time Estimation

Extensive genomic rearrangements mediated by repetitive sequences in plastomes of Medicago and its relatives

Plastome Structural Conservation and Evolution in the Clusioid Clade of Malpighiales

The Loss of the Inverted Repeat in the Putranjivoid Clade of Malpighiales

Plastid Phylogenomics and Plastomic Diversity of the Extant Lycophytes

Does IR-loss promote plastome structural variation and sequence evolution?

A DNA barcode library for woody plants in tropical and subtropical China


PSG: Prompt-based Sequence Generation for Acronym Extraction

CABACE: Injecting Character Sequence Information and Domain Knowledge
  for Enhanced Acronym and Long-Form Extraction

Domain Adaptive Pretraining for Multilingual Acronym Extraction


Creative Commons Attribution 4.0 International

This repository holds the code for my master thesis entitles "The Association of Gender Bias with BERT - Measuring, Mitigating and Cross-lingual portability"

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias.

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in
  Pretrained Language Models

Tackling Bias in Pre-trained Language Models: Current Trends and
  Under-represented Societies


Bridge Correlational Neural Networks for Multilingual Multimodal Representation Learning

Towards Zero-shot Cross-lingual Image Retrieval and Tagging


Detecting Emergent Intersectional Biases: Contextualized Word Embeddings Contain a Distribution of Human-like Biases

National Conference on Artificial Intelligence

Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal


Fully featured implementation of Routing Transformer

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Efficient Content-Based Sparse Attention with Routing Transformers

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

ClusterFormer: Neural Clustering Attention for Efficient and Effective Transformer

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)


Hidden Fluid Mechanics

Hidden Fluid Mechanics: A Navier-Stokes Informed Deep Learning Framework
  for Assimilating Flow Visualization Data

Temporal Consistency Loss for Physics-Informed Neural Networks

Learning invariant representations of time-homogeneous stochastic
  dynamical systems

PINNs-TF2: Fast and User-Friendly Physics-Informed Neural Networks in
  TensorFlow V2


Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Training Neural Networks with Fixed Sparse Masks

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

Stochastic Weight Averaging in Parallel: Large-Batch Training that Generalizes Well

Controllable Dynamic Multi-Task Architectures

Co-domain Symmetry for Complex-Valued Deep Learning

Auto-Precision Scaling for Distributed Deep Learning

Provable Robustness Against a Union of ℓ_0 Adversarial Attacks

To Raise or Not To Raise: The Autonomous Learning Rate Question

Self-Compressing Neural Networks


PyTorch implementation of paper "Sparse Parameterization for Epitomic Dataset Distillation" in NeurIPS 2023.

Dataset Distillation by Matching Training Trajectories

Dataset Condensation with Distribution Matching

Dataset Distillation via Factorization


Shorts is R package that creates short sprint profiles

A simple method for measuring power, force, velocity properties, and mechanical effectiveness in sprint running

Scandinavian journal of medicine & science in sports

The Difference Is in the Start: Impact of Timing and Start Procedure on Sprint Running Performance

Journal of strength and conditioning research

The National Football League Combine 40-yd Dash: How Important is Maximum Velocity?

Biomechanics of Training and Testing

Sprint Mechanical Characteristics of Female Soccer Players: A Retrospective Pilot Study to Examine a Novel Approach for Correction of Timing Gate Starts

shorts: An R Package for Modeling Short Sprints

International journal of strength and conditioning


PubLayNet: largest dataset ever for document layout analysis

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

DocBank: A Benchmark Dataset for Document Layout Analysis

Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout
  Analysis


This repository is meant to host a beta version for the future release of the ConnectomeMapper.

The Frequent Network Neighborhood Mapping of the Human Hippocampus Shows Much More Frequent Neighbor Sets in Males Than in Females

The frequent complete subgraphs in the human connectome

Good neighbors, bad neighbors: the frequent network neighborhood mapping of the hippocampus enlightens several structural factors of the human intelligence on a 414-subject cohort

Identifying super-feminine, super-masculine and sex-defining connections in the human braingraph

The braingraph.org database with more than 1000 robust human connectomes in five resolutions

Introducing and Applying Newtonian Blurring: An Augmented Dataset of
  126,000 Human Connectomes at braingraph.org

The braingraph.org Database with more than 1000 Robust Human Structural Connectomes in Five Resolutions.

Discovering Sex and Age Implicator Edges in the Human Connectome


Radial velocity and stellar parameter fitting code for large surveys

Discovery of a nearby 1700 km s−1 star ejected from the Milky Way by Sgr A*

Monthly Notices of the Royal Astronomical Society

The southern stellar stream spectroscopic survey (S5) : Overview, target selection, data reduction, validation, and early science

Measuring the Mass of the Large Magellanic Cloud with Stellar Streams Observed by S^5

The tidal remnant of an unusually metal-poor globular cluster

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

Overview of the DESI Milky Way Survey

DESI Observations of the Andromeda Galaxy: Revealing the Immigration History of Our Nearest Neighbor


DBG2OLC: Efficient Assembly of Large Genomes Using Long Erroneous Reads of the Third Generation Sequencing Technologies

Sparc: a sparsity-based consensus algorithm for long erroneous sequencing reads

New High-Quality Draft Genome of the Brown Rot Fungal Pathogen Monilinia fructicola


A Python3-base pipeline for translated circular RNA(circRNA) identification

Circular RNAs in human cancer

circRNAs Signature as Potential Diagnostic and Prognostic Biomarker for Diabetes Mellitus and Related Cardiovascular Complications

CircCode: A Powerful Tool for Identifying circRNA Coding Ability

Disease-Associated Circular RNAs: From Biology to Computational Identification

Pervasive translation of small open reading frames in plant long non-coding RNAs


Unofficial implementation of ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech


A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks


TSPPD Test Instance Library

Exponential-Size Neighborhoods for the Pickup-and-Delivery Traveling Salesman Problem


Code for our paper: https://www.biorxiv.org/content/10.1101/528463v1

Association between the LRP1B and APOE loci and the development of Parkinson’s disease dementia

Genome-wide association study followed by trans-ancestry meta-analysis identify 17 new risk loci for schizophrenia

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects


Evaluation toolkit of the informative tracking benchmark comprising 9 scenarios, 180 diverse videos, and new challenges.

Event-based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence

Object Tracking by Jointly Exploiting Frame and Event Domain

An Informative Tracking Benchmark


This repository contains code used for the fly brain activity experiments

Fast near-whole–brain imaging in adult Drosophila during responses to stimuli and behavior

Valence and State-Dependent Population Coding in Dopaminergic Neurons in the Fly Mushroom Body

Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes

A dopamine-gated learning circuit underpins reproductive state-dependent odor preference in Drosophila females


Easy-to-use, Modular and Extendible package of deep-learning based fashion recommendation models with PyTorch.

Learning Type-Aware Embeddings for Fashion Compatibility

Fashion Outfit Complementary Item Retrieval

SAT: Self-adaptive training for fashion compatibility prediction


DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence


Sleep staging from ECG, assisted with EEG

U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging

A Deep Knowledge Distillation framework for EEG assisted enhancement of
  single-lead ECG based sleep staging

EEG aided boosting of single-lead ECG based sleep staging with Deep Knowledge Distillation

IEEE International Symposium on Medical Measurements and Applications


code for manuscripts on insect egg evolution, preprints 2018

Insect egg size and shape evolve with ecology, not developmental rate

A dataset of egg size and shape from more than 6,700 insect species

A database of egg size and shape from more than 6,700 insect species


The implementation of <Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation> in PyTorch.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

Masked Summarization to Generate Factually Inconsistent Summaries for Improved Factual Consistency Checking

Evaluating Factual Consistency of Texts with Semantic Role Labeling


Official code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

Fully convolutional measurement network for compressive sensing image reconstruction

Adaptive Measurement Network for CS Image Reconstruction

Full Image Recover for Block-Based Compressive Sensing

Perceptual Compressive Sensing

PATTERN RECOGNITION AND COMPUTER VISION, PT III

Color Image Reconstruction with Perceptual Compressive Sensing

International Conference on Pattern Recognition


A new annotation database useful to train unbiased and discrimination-aware face recognition algorithms

SensitiveNets: Learning Agnostic Representations with Application to Face Images

SensitiveNets: Learning Agnostic Representations with Application to Face Recognition.

Algorithmic Discrimination: Formulation and Exploration in Deep Learning-based Face Biometrics

Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment


SPH code for compressible flows

Improving convergence in smoothed particle hydrodynamics simulations without pairing instability

A general class of Lagrangian smoothed particle hydrodynamics methods and implications for fluid mixing problems

A DENSITY-INDEPENDENT FORMULATION OF SMOOTHED PARTICLE HYDRODYNAMICS

Hydrodynamic Simulations with the Godunov SPH


MATJAGS, a Matlab interface for JAGS

The drift diffusion model as the choice rule in inter-temporal and risky choice: A case study in medial orbitofrontal cortex lesion patients and controls

The development of retro-cue benefits with extensive practice: Implications for capacity estimation and attentional states in visual working memory


Code for ECCV 2022 Workshop paper "See Finer, See More: Implicit Modality Alignment for Text-based Person Retrieval"

Microsoft COCO: Common Objects in Context

Noisy-Correspondence Learning for Text-to-Image Person Re-identification


Author Disambiguation using Knowledge Graph Embeddings with Literals

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

SPECTER: Document-level Representation Learning using Citation-informed Transformers

A knowledge graph embeddings based approach for author name disambiguation using literals


Improving speaker discrimination of target speech extraction with
  time-domain SpeakerBeam

Tackling real noisy reverberant meetings with all-neural source separation, counting, and diarization system


Representation Learning in RL

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Efficient Reinforcement Learning in Block MDPs: A Model-free Representation Learning Approach

Provable Benefits of Representational Transfer in Reinforcement Learning

Representation Learning for General-sum Low-rank Markov Games


a deep learning tool for the classification of biological sequences

DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

autoBioSeqpy: A Deep Learning Tool for the Classification of Biological Sequences

Journal of chemical information and modeling

The applications of deep learning algorithms on in silico druggable proteins identification

Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning

DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors

ACP-GBDT: An improved anticancer peptide identification method with gradient boosting decision tree

Evaluation and development of deep neural networks for RNA 5-Methyluridine classifications using autoBioSeqpy


A collection of optimization algorithms for maximizing unconstrained submodular set functions.

Interpretable Decision Sets: A Joint Framework for Description and Prediction

Learning with Submodular Functions: A Convex Optimization Perspective

A Tight Linear Time (1/2)-Approximation for Unconstrained Submodular Maximization

Submodular Functions Maximization Problems

Handbook of Approximation Algorithms and Metaheuristics, Second Edition


Quantum Fast Approximate Synthesis Tool

QFAST: Conflating Search and Numerical Optimization for Scalable Quantum
  Circuit Synthesis

Efficient quantum gate decomposition via adaptive circuit compression

Highly optimized quantum circuits synthesized via data-flow engines


Toolbox for parameter estimation of the Standard Model of diffusion in white matter

NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain

White matter characterization with diffusional kurtosis imaging

Quantifying brain microstructure with diffusion MRI: Theory and parameter estimation

Multi-compartment microscopic diffusion imaging

Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue

Rotationally-invariant mapping of scalar and orientational metrics of neuronal microstructure with diffusion MRI

TE dependent Diffusion Imaging (TEdDI) distinguishes between compartmental T2 relaxation times

Ball and rackets: Inferring fiber fanning from diffusion-weighted MRI

Disentangling micro from mesostructure by diffusion MRI: A Bayesian approach

Fiber ball imaging


Unofficial Pytorch implementation of Style GAN paper

A Style-Based Generator Architecture for Generative Adversarial Networks

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Re-Training StyleGAN - A First Step Towards Building Large, Scalable Synthetic Facial Datasets


[T-IFS] RNN-SM: Fast Steganalysis of VoIP Streams Using Recurrent Neural Network

IEEE transactions on information forensics and security

FCEM: A Novel Fast Correlation Extract Model For Real Time Steganalysis
  of VoIP Stream via Multi-head Attention

Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows

Hierarchical Representation Network for Steganalysis of QIM Steganography in Low-Bit-Rate Speech Signals


Segmentation, Measurement and Visualisation of Nuclear Envelope of HeLa Cells observed with Electron Microscope

Volumetric Semantic Instance Segmentation of the Plasma Membrane of HeLa Cells

Automated Segmentation of HeLa Nuclear Envelope from Electron Microscopy Images

MEDICAL IMAGE UNDERSTANDING AND ANALYSIS, MIUA 2018

Impact of Training Data, Ground Truth and Shape Variability in the Deep Learning-Based Semantic Segmentation of HeLa Cells Observed with Electron Microscopy

Semantic Segmentation of HeLa Cells: An Objective Comparison between one Traditional Algorithm and Three Deep-Learning Architectures

Segmentation And Modelling of Helanuclear Envelope

International Symposium on Biomedical Imaging


A code for "Tree-Structured Neural Topic Model" in ACL2020

Tree-Structured Neural Topic Model

Meeting of the Association for Computational Linguistics

Tree-Structured Topic Modeling with Nonparametric Neural Variational Inference

Nonparametric Forest-Structured Neural Topic Modeling

International Conference on Computational Linguistics


Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

MixGen: A New Multi-Modal Data Augmentation

A Joint Study of Phrase Grounding and Task Performance in Vision and
  Language Models


This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial languages using deep learning, relying on PyTorch (https://www.pytorch.org).

On (Emergent) Systematic Generalisation and Compositionality in Visual
  Referential Games with Straight-Through Gumbel-Softmax Estimator

ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games.

Visual Referential Games Further the Emergence of Disentangled
  Representations


Sync paired-end FASTA/Q files and keep singleton reads

A target enrichment method for gathering phylogenetic information from hundreds of loci: An example from the Compositae

ACME dissociation: a versatile cell fixation-dissociation method for single-cell transcriptomics

Landscape of Transposable Elements Focusing on the B Chromosome of the Cichlid Fish Astatotilapia latifasciata

Systems analysis of subjects acutely infected with the Chikungunya virus

RNA-seq-based genome annotation and identification of long-noncoding RNAs in the grapevine cultivar ‘Riesling’

Comparative phylogenetics of repetitive elements in a diverse order of flowering plants (Brassicales)

A de novo transcriptome assembly of the zebra bullhead shark, Heterodontus zebra

Annelid adult cell type diversity and their pluripotent cellular origins

bioRxiv : the preprint server for biology

Transcriptomic Profiling Revealed Signaling Pathways Associated with the Spawning of Female Zebrafish under Cold Stress

International journal of molecular sciences

Transcriptome Analysis Uncovers the Gene Expression Profile of Hemileia vastatrix (Race XXXIII) during the Interactions with Resistant and Susceptible Coffee


A collection of datasets originally distributed in R packages

Sherlock: A Deep Learning Approach to Semantic Data Type Detection

VizNet: Towards A Large-Scale Visualization Learning and Benchmarking Repository

Learning to Automate Chart Layout Configurations Using Crowdsourced Paired Comparison

Simple Imputation Rules for Prediction with Missing Data: Contrasting Theoretical Guarantees with Empirical Performance


Large Language Model for MOEA

Large Language Model for Multi-objective Evolutionary Optimization

Algorithm Evolution Using Large Language Model

An Example of Evolutionary Computation + Large Language Model Beating
  Human: Design of Efficient Guided Local Search

L-AutoDA: Leveraging Large Language Models for Automated Decision-based
  Adversarial Attacks


Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly

Feature Generating Networks for Zero-Shot Learning

A Review of Generalized Zero-Shot Learning Methods


code for "PGMAN: An Unsupervised Generative Multi-adversarial Network for Pan-sharpening"

Deep learning in multimodal remote sensing data fusion: A comprehensive review

PGMAN: An Unsupervised Generative Multiadversarial Network for Pansharpening


Random parameter environments using gym 0.7.4 and mujoco-py 0.5.7

Offline Meta-Reinforcement Learning with Online Self-Supervision

Context Shift Reduction for Offline Meta-Reinforcement Learning


The best solution of the Weather Prediction track in the Yandex Shifts challenge

On the Variance of the Adaptive Learning Rate and Beyond

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

More layers! End-to-end regression and uncertainty on tabular data with
  deep learning