Implementation of the Transformer variant proposed in "Transformer Quality in Linear Time"

Pay Attention to MLPs

Transformer Quality in Linear Time

Primer: Searching for Efficient Transformers for Language Modeling

Sparse Attention with Linear Units


Code, datasets, and checkpoints for the paper "Improving Passage Retrieval with Zero-Shot Question Generation (EMNLP 2022)"

Dense Passage Retrieval for Open-Domain Question Answering

Unsupervised Dense Information Retrieval with Contrastive Learning

End-to-End Training of Neural Retrievers for Open-Domain Question Answering


[CVPR2020] Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification

Heterogeneous Visible-Thermal and Visible-Infrared Face Recognition Using Cross-Modality Discriminator Network and Unit-Class Loss

Computational intelligence and neuroscience

Pedestrian Gender Recognition by Style Transfer of Visible-Light Image to Infrared-Light Image Based on an Attention-Guided Generative Adversarial Network


Official Implementation of "A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining""

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next

TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization


SAITS: Self-Attention-based Imputation for Time Series

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.


Diachronic Embedding for Temporal Knowledge Graph Completion

Representation Learning for Dynamic Graphs: A Survey

Temporal Knowledge Graph Forecasting with Neural ODE

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for
  Forecasting Future Links

Few-Shot Inductive Learning on Temporal Knowledge Graphs using
  Concept-Aware Information

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations


Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities

A Simple Framework for Uncertainty in Contrastive Learning

Ensemble-Based Out-of-Distribution Detection

Enhanced Isotropy Maximization Loss: Seamless and High-Performance Out-of-Distribution Detection Simply Replacing the SoftMax Loss


:hibiscus: reference-free transcriptome assembly for short and long reads

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Reference-free assembly of long-read transcriptome sequencing data with RNA-Bloom2

RNA-Bloom provides lightweight reference-free transcriptome assembly for single cells


An efficient GPU support for LLM inference with 6-bit quantization (FP6).

Llama 2: Open Foundation and Fine-Tuned Chat Models

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric
  Strategy for Diverse Generative Tasks

FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design


Implementation of the multiple sequential markovian coalescent

Stairway Plot 2: demographic history inference with folded SNP frequency spectra

Iron Age and Anglo-Saxon genomes from East England reveal British migration history

MSMC and MSMC2: The Multiple Sequentially Markovian Coalescent

Intra-species differences in population size shape life history and genome evolution

Genomic Consequences of Long-Term Population Decline in Brown Eared Pheasant

Limits and Convergence properties of the Sequentially Markovian Coalescent

Transcontinental dispersal of Anopheles gambiae occurred from West African origin via serial founder events

Protocol to analyze population structure and migration history based on human genome variation data


Crystal graph convolutional neural networks for predicting material properties.

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties.

Deep Learning on Graphs: A Survey

Recent advances and applications of deep learning methods in materials science

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

Infusing theory into deep learning for interpretable reactivity prediction

Transfer learning for materials informatics using crystal graph convolutional neural network

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

A Novel Machine Learning Model to Predict the Photo-Degradation Performance of Different Photocatalysts on a Variety of Water Contaminants

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

Examining graph neural networks for crystal structures: Limitations and opportunities for capturing periodicity


Zero-shot dialogue state tracking (DST)

Leveraging Slot Descriptions for Zero-Shot Cross-Domain Dialogue State Tracking

Zero-Shot Dialogue State Tracking via Cross-Task Transfer


Unsupervised Multilingual Word Embeddings (EMNLP 2018)

Should All Cross-Lingual Embeddings Speak English?

Learning Unsupervised Multilingual Word Embeddings with Incremental Multilingual Hubs

North American Chapter of the Association for Computational Linguistics

A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation

Empirical Methods in Natural Language Processing

A Simple Approach to Learning Unsupervised Multilingual Embeddings


Data and Code for Reproducing "Global Relational Models of Source Code"

Global Relational Models of Source Code

International Conference on Learning Representations

Understanding neural code intelligence through program simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

A Survey of Learning-based Automated Program Repair

Memorization and Generalization in Neural Code Intelligence Models

What does Transformer learn about source code?


Benchmarking Deep Learning Interpretability in Time Series Predictions

TSInterpret: A unified framework for time series interpretability


Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

Gaussian Bounding Boxes and Probabilistic Intersection-over-Union for
  Object Detection


single cell Flux Estimation Analysis (scFEA) Try the below web server!

A graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq data

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

scFEA: A graph neural network model to estimate cell-wise metabolic flux using single cell RNA-seq data

scFLUX: a web server for metabolic flux and variation prediction using transcriptomics data


Kepler Science Data Processing Pipeline

Planetary Candidates Observed by Kepler. VIII. A Fully Automated Catalog with Measured Completeness and Reliability Based on Data Release 25

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Kepler Data Validation I-Architecture, Diagnostic Tests, and Data Products for Vetting Transiting Planet Candidates

Publications of the Astronomical Society of the Pacific

Kepler Data Validation II -- Transit Model Fitting and Multiple-Planet
  Search

Zodiacal Exoplanets in Time (ZEIT). VI. A Three-planet System in the Hyades Cluster Including an Earth-sized Planet

Discovery and Vetting of Exoplanets. I. Benchmarking K2 Vetting Tools

Measuring Transit Signal Recovery in the Kepler Pipeline. IV. Completeness of the DR25 Planet Candidate Catalog

Re-Evaluating Small Long-Period Confirmed Planets From Kepler


Detecting and Simulating Artifacts in GAN Fake Images

Learning Spread-out Local Feature Descriptors

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


Supervised Predictive Medical Image Registration Model

DeepFLASH: An Efficient Network for Learning-based Medical Image Registration

Fourier-Net: Fast Image Registration with Band-limited Deformation

Fourier-Net+: Leveraging Band-Limited Representation for Efficient 3D
  Medical Image Registration


Vectorized N-body code (Python)

BigDL: A Distributed Deep Learning Framework for Big Data

Orbit determination of the moons of the Pluto–Charon system

Celestial mechanics & dynamical astronomy/Celestial mechanics and dynamical astronomy

Orbits of the TOI-1338 and TIC-172900988 systems


Code for the paper "Unsupervised Contrastive Learning of Sound Event Representations", ICASSP 2021.

SpliceOut: A Simple and Efficient Audio Augmentation Method

Self-Supervised Learning from Automatically Separated Sound Scenes


Repository for SLURP paper

SLURP: A Spoken Language Understanding Resource Package

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

ESPnet-SLU: Advancing Spoken Language Understanding through ESPnet

Token-level Sequence Labeling for Spoken Language Understanding using Compositional End-to-End Models

Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems


Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Poisoned classifiers are not only backdoored, they are fundamentally broken

A Mask-Based Adversarial Defense Scheme

DE-CROP: Data-efficient Certified Robustness for Pretrained Classifiers


Code for Towards Streaming Perception (ECCV 2020) :car:

Towards Streaming Perception

Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception

MTD: Multi-Timestep Detector for Delayed Streaming Perception


Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."

Neuromodulated Neural Architectures with Local Error Signals for Memory-Constrained Online Continual Learning.

TAME: Task Agnostic Continual Learning using Multiple Experts


Recurrent & convolutional neural network modules

Rationalizing Neural Predictions

Molding CNNs for text: non-linear, non-consecutive convolutions

Semi-supervised Question Retrieval with Gated Convolutions

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration

Explaining Deep Neural Networks

Rationalizing predictions by adversarial information calibration


Matlab implementation of the ECO tracker.

Learning Discriminative Model Prediction for Tracking

Synthetic Data Generation for End-to-End Thermal Infrared Tracking

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Handcrafted and Deep Trackers: Recent Visual Object Tracking Approaches and Trends

Benchmarking Deep Trackers on Aerial Videos


A tool that detects honeypots in Ethereum smart contracts :honey_pot: (USENIX 2019).

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

A Data Science Approach for Honeypot Detection in Ethereum

Targeting the Weakest Link: Social Engineering Attacks in Ethereum Smart Contracts

Vulnerability and Transaction behavior based detection of Malicious
  Smart Contracts

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

Empirical Review of Smart Contract and DeFi Security: Vulnerability
  Detection and Automated Repair


MATLAB script of Independent Low-Rank Matrix Analysis (ILRMA)

The validity of unlicensed spectrum for future local highcapacity services

湖北师范学院学报：哲学社会科学版

Independent Low-Rank Matrix Analysis-Based Automatic Artifact Reduction Technique Applied to Three BCI Paradigms

Target Speech Extraction: Independent Vector Extraction Guided by Supervised Speaker Identification


A lightweight suffix-sorting library

Refining the r-index

Computing All Distinct Squares in Linear Time for Integer Alphabets

Compression with the tudocomp Framework

Dismantling DivSufSort

Lempel-Ziv-like Parsing in Small Space

Improving Run Length Encoding by Preprocessing

Gclust: A Parallel Clustering Tool for Microbial Genomic Data

基因组蛋白质组与生物信息学报

TOPAZ: asymmetric suffix array neighbourhood search for massive protein databases

Grammar Compression by Induced Suffix Sorting

An alignment-free heuristic for fast sequence comparisons with applications to phylogeny reconstruction

International Conference on Bioinformatics


Regularizing Class-wise Predictions via Self-knowledge Distillation (CVPR 2020)

Self-Knowledge Distillation with Progressive Refinement of Targets

FedADC: Accelerated Federated Learning with Drift Control

Self-distillation with Batch Knowledge Ensembling Improves ImageNet
  Classification

Knowledge Evolution in Neural Networks

Rethinking Confidence Calibration for Failure Prediction


Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

Learned D-AMP: Principled Neural Network based Compressive Image Recovery

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images

Denoised Smoothing: A Provable Defense for Pretrained Classifiers

Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Unsupervised Learning with Stein's Unbiased Risk Estimator

SAR Image Despeckling by Deep Neural Networks: from a pre-trained model to an end-to-end training strategy

SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising

An ELU Network with Total Variation for Image Denoising

A Plug-and-Play Priors Framework for Hyperspectral Unmixing


This is the official implementation of the paper AGAIN-VC: A One-shot Voice Conversion using Activation Guidance and Adaptive Instance Normalization.

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from
  Style-Based TTS Models

Expressive-VC: Highly Expressive Voice Conversion with Attention Fusion of Bottleneck and Perturbation Features

Identifying Source Speakers for Voice Conversion based Spoofing Attacks
  on Speaker Verification Systems

Catch You and I Can: Revealing Source Voiceprint Against Voice
  Conversion


Code for the ACL 19 paper "Neural Keyphrase Generation via Reinforcement Learning with Adaptive Rewards"

Diverse Keyphrase Generation with Neural Unlikelihood Training

From statistical methods to deep learning, automatic keyphrase prediction: A survey

Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference


Package for Fast ABC-Boost

Fast ABC-Boost: A Unified Framework for Selecting the Base Class in
  Multi-Class Classification

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)

pGMM Kernel Regression and Comparisons with Boosted Trees


A Chinese legal case retrieval dataset.

Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

LEVEN: A Large-Scale Chinese Legal Event Detection Dataset

Prompt-based Effective Input Reformulation for Legal Case Retrieval

Reformulating Domain Adaptation of Large Language Models as
  Adapt-Retrieve-Revise


Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Improving Transformer-based Sequential Recommenders through Preference Editing

Advances in Collaborative Filtering and Ranking

Temporal Collaborative Ranking Via Personalized Transformer

Sequence Adaptation via Reinforcement Learning in Recommender Systems


ConMask model described in paper Open-world Knowledge Graph Completion.

Open-World Knowledge Graph Completion

Open-world Machine Learning: Applications, Challenges, and Opportunities

A Survey On Few-shot Knowledge Graph Completion with Structural and
  Commonsense Knowledge


Official PyTorch implementation of Speaker Conditional WaveRNN

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

Efficient Neural Audio Synthesis

Speaker Conditional WaveRNN: Towards Universal Neural Vocoder for Unseen Speaker and Recording Conditions


Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append

Repairing Reed-Solomon Codes

Optimal Repair Layering for Erasure-Coded Data Centers: From Theory to Practice

Repair Pipelining for Erasure-coded Storage: Algorithms and Evaluation

Efficient Storage Scaling for MBR and MSR Codes

SDCUP: Software-Defined-Control Based Erasure-Coded Collaborative Data Update Mechanism


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Large-Scale Wasserstein Gradient Flows

Particle-based Energetic Variational Inference


Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text

Improved Neural Relation Detection for Knowledge Base Question Answering

Modeling Semantics with Gated Graph Neural Networks for Knowledge Base Question Answering

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Meeting of the Association for Computational Linguistics

Mixing Context Granularities for Improved Entity Linking on Question Answering Data across Entity Categories

Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

An empirical analysis of existing systems and datasets toward general simple question answering

International Conference on Computational Linguistics


Code and data for "TURL: Table Understanding through Representation Learning"

AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks

Observatory: Characterizing Embeddings of Relational Tables

S2abEL: A Dataset for Entity Linking from Scientific Tables


Gene fusion detection and visualization

GeneFuse: detection and visualization of target gene fusions from DNA sequencing data

International journal of biological sciences

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

MutScan: fast detection and visualization of target mutations by scanning FASTQ data

Molecular characterization of genomic breakpoints of ALK rearrangements in non-small cell lung cancer.


Maximum a Posteriori Policy Optimisation

Critic Regularized Regression

Beyond Pick-and-Place: Tackling Robotic Stacking of Diverse Shapes


DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization

Power Law in Sparsified Deep Neural Networks


E(n) Equivariant Graph Neural Networks

An efficient Lorentz equivariant graph neural network for jet tagging

The Journal of high energy physics/The journal of high energy physics

SE(3) Equivariant Graph Neural Networks with Complete Local Frames

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Learning Physical Dynamics with Subequivariant Graph Neural Networks

When Geometric Deep Learning Meets Pretrained Protein Language Models

Equivariant Graph Hierarchy-Based Neural Networks

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for
  Ligand Binding Site Prediction

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite


DQN-Atari-Agents:   Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Dueling Network Architectures for Deep Reinforcement Learning

Rainbow: Combining Improvements in Deep Reinforcement Learning

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration

Robot path planning using deep reinforcement learning


ERFNet: Efficient Residual Factorized ConvNet for Real-Time Semantic Segmentation

IEEE transactions on intelligent transportation systems

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

Empty Cities: A Dynamic-Object-Invariant Space for Visual SLAM

Empty Cities: Image Inpainting for a Dynamic-Object-Invariant Space

Real-Time Detection of Non-Stationary Objects Using Intensity Data in Automotive LiDAR SLAM

Causes of Catastrophic Forgetting in Class-Incremental Semantic Segmentation

Principles of Forgetting in Domain-Incremental Semantic Segmentation in Adverse Weather Conditions


Implementation of the Capsule-Forensics-v2

Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Use of a Capsule Network to Detect Fake Images and Videos

DeepFakes Evolution: Analysis of Facial Regions and Fake Detection Performance

DeepFake-o-meter: An Open Platform for DeepFake Detection

Robust Deepfake On Unrestricted Media: Generation And Detection

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection


The dataset for EMSE-DeepCom

Code to Comment "Translation": Data, Metrics, Baselining & Evaluation

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

CSSAM: Code Search via Attention Matching of Code Semantics and Structures


ODE2VAE: Deep generative second order ODEs with Bayesian neural networks

ODE^2VAE: Deep generative second order ODEs with Bayesian neural networks

The Neural Process Family: Survey, Applications and Perspectives

Contrastive Conditional Neural Processes

Adversarially Contrastive Estimation of Conditional Neural Processes


Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018

DeepPrior++: Improving Fast and Accurate 3D Hand Pose Estimation

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

Towards Viewpoint Invariant 3D Human Pose Estimation


Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))

Learning Transferable Visual Models From Natural Language Supervision

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

Test-Time Prompt Tuning for Zero-Shot Generalization in Vision-Language
  Models

Neural Priming for Sample-Efficient Adaptation


Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

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


Improved Techniques for Training GANs

Generating Long Sequences with Sparse Transformers

Towards Accurate Generative Models of Video: A New Metric & Challenges

VideoGPT: Video Generation using VQ-VAE and Transformers

CogVideo: Large-scale Pretraining for Text-to-Video Generation via
  Transformers

PV3D: A 3D Generative Model for Portrait Video Generation

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

POS: A Prompts Optimization Suite for Augmenting Text-to-Video Generation


How to Train good Word Embeddings for Biomedical NLP

An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes

Computer methods and programs in biomedicine

Few-shot Learning for Named Entity Recognition in Medical Text

Cancer Hallmark Text Classification Using Convolutional Neural Networks

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction

Chemical–protein interaction extraction via contextualized word representations and multihead attention

Database : the journal of biological databases and curation

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Family member information extraction via neural sequence labeling models with different tag schemes

BMC medical informatics and decision making

Biomedical document triage using a hierarchical attention-based capsule network


This code aims at weakly-labeled semi-supervised  sound event detection. The code embraces two methods we proposed to solve this task: specialized decision surface (SDS) and disentangled feature (DF) for weakly-supervised learning and guided learning (GL) for semi-supervised learning. We're so glad if you're interested in using it for research purpose or DCASE participation.

Guided Learning Convolution System for DCASE 2019 Task 4

Specialized Decision Surface and Disentangled Feature for Weakly-Supervised Polyphonic Sound Event Detection

Guided learning for weakly-labeled semi-supervised sound event detection


The code of our paper "SIFRank: A New Baseline for Unsupervised Keyphrase Extraction Based on Pre-trained Language Model"

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023

Unsupervised Key-phrase Extraction and Clustering for Classification Scheme in Scientific Publications

ArT: All-round Thinker for Unsupervised Commonsense Question-Answering


scGNN (single cell graph neural networks) for single cell clustering and imputation using graph neural networks

scGNN is a novel graph neural network framework for single-cell RNA-Seq analyses

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Topological identification and interpretation for single-cell gene regulation elucidation across multiple platforms using scMGCA

Zenodo (CERN European Organization for Nuclear Research)

Deep Learning in Single-Cell Analysis

Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning

scRNA‐seq data analysis method to improve analysis performance


train stylegan through transfer learning

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

StyleGANs and Transfer Learning for Generating Synthetic Images in Industrial Applications


The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Towards Cross-Table Masked Pretraining for Web Data Mining

TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023

Tabular Machine Learning Methods for Predicting Gas Turbine Emissions

Uncertainty Quantification for Local Model Explanations Without Model
  Access

NCART: Neural Classification and Regression Tree for Tabular Data


Global alignment and alignment extension

Fast characterization of segmental duplications in genome assemblies

Kevlar: A Mapping-Free Framework for Accurate Discovery of De Novo Variants

MONI: A Pangenomics Index for Finding MEMs

LJA: Assembling Long and Accurate Reads Using Multiplex de Bruijn Graphs


EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Searching for MobileNetV3

MixConv: Mixed Depthwise Convolutional Kernels

Improving Generalization in Federated Learning by Seeking Flat Minima


Model Fusion via Optimal Transport, NeurIPS 2020

Model Fusion via Optimal Transport

On Cross-Layer Alignment for Model Fusion of Heterogeneous Neural Networks


Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

Adversarial Attack and Defense on Graph Data: A Survey

Adversarial Attacks on Graph Classification via Bayesian Optimisation

Goal-directed graph construction using reinforcement learning

Dynamic Network Reconfiguration for Entropy Maximization using Deep
  Reinforcement Learning


The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.

All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey

IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and
  Microservice Management in Edge and Fog Computing Environments

FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos

An In-Depth Review on Blockchain Simulators for IoT Environments

Proactive Fault Prediction of Fog Devices Using LSTM-CRP Conceptual Framework for IoT Applications

Simulation Tools for Fog Computing: A Comparative Analysis

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things


Home of the Chunkmogrify project

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Pivotal Tuning for Latent-based Editing of Real Images

Real Image Inversion via Segments


Code for NeurIPS 2019 paper "Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis"

Edge Guided GANs with Semantic Preserving for Semantic Image Synthesis

Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis.


SPICE: Semantic Propositional Image Caption Evaluation

Improved Image Captioning via Policy Gradient optimization of SPIDEr

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions

Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations


Continuum Learning with GEM:  Gradient Episodic Memory

Gradient Episodic Memory for Continual Learning

End-to-End Incremental Learning

Rethinking Experience Replay: a Bag of Tricks for Continual Learning

Distill and Replay for Continual Language Learning

Graph-Based Continual Learning

Algorithmic insights on continual learning from fruit flies

Gated information bottleneck for generalization in sequential environments

Continual Invariant Risk Minimization


This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

Uncertainty estimations methods for a deep learning model to aid in
  clinical decision-making -- a clinician's perspective

Knowledge from Uncertainty in Evidential Deep Learning


Topic Modeling in Embedding Spaces

The Dynamic Embedded Topic Model

What Does the Indian Parliament Discuss? An Exploratory Analysis of the
  Question Hour in the Lok Sabha


BERTje is a Dutch pre-trained BERT model developed at the University of Groningen. (EMNLP Findings 2020) "What’s so special about BERT’s layers? A closer look at the NLP pipeline in monolingual and multilingual models"

BERTje: A Dutch BERT Model

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

Pre-training Polish Transformer-based Language Models at Scale

WikiBERT models: deep transfer learning for many languages

Constructing Taxonomies from Pretrained Language Models

Deception detection in text and its relation to the cultural dimension of individualism/collectivism

Accurate and Reliable Classification of Unstructured Reports on Their Diagnostic Goal Using BERT Models


PyTorch toolbox for matrix product state models

Supervised Learning with Quantum-Inspired Tensor Networks

Exponential Machines

TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork for Machine Learning

Quantum-inspired Machine Learning on high-energy physics data

Tensor Networks for Medical Image Classification

Quantum-inspired event reconstruction with Tensor Networks: Matrix Product States

The landscape of software for tensor computations

Locally orderless tensor networks for classifying two- and three-dimensional medical images

The journal of machine learning for biomedical imaging

Segmenting two-dimensional structures with strided tensor networks


Official implementation of SPTS: Single-Point Text Spotting

SPTS: Single-Point Text Spotting

SPTS v2: Single-Point Scene Text Spotting


Code for the paper 'Personalization in Goal-oriented Dialog' (NeurIPS 2017 Conversational AI Workshop)

Learning End-to-End Goal-Oriented Dialog

Personalization in Goal-Oriented Dialog

Coffee With a Hint of Data: Towards Using Data-Driven Approaches in Personalised Long-Term Interactions


Library of swarm optimization algorithms.

Comparison of Meta-Heuristics for the Planning of Meshed Power Systems

Comparing Single-Objective Optimization Protocols for Calibrating the Birds Nest Aquifer Model—A Problem Having Multiple Local Optima

International journal of environmental research and public health

Introducing Ulimisana Optimization Algorithm Based on Ubuntu Philosophy


Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."

Longformer: The Long-Document Transformer

Pseudo-Masked Language Models for Unified Language Model Pre-Training

Multi-party Goal Tracking with LLMs: Comparing Pre-training, Fine-tuning, and Prompt Engineering

Annotating and Detecting Fine-grained Factual Errors for Dialogue Summarization


Useful resources for creating Design Artificial Intelligence

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

May AI? Design Ideation with Cooperative Contextual Bandits

Vinci: An Intelligent Graphic Design System for Generating Advertising Posters

International Conference on Human Factors in Computing Systems

Beauty in artistic expressions through the eyes of networks and physics

Designing with AI for Digital Marketing

User Modeling, Adaptation, and Personalization

Category, process, and recommendation of design in an interactive evolutionary computation interior design experiment: a data-driven study

Artificial intelligence for engineering design, analysis and manufacturing

Exemplar based experience transfer


Dynamic Token Expansion with Continual Transformers, accepted at CVPR 2022

DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion

S-Prompts Learning with Pre-trained Transformers: An Occam's Razor for
  Domain Incremental Learning

A Continual Deepfake Detection Benchmark: Dataset, Methods, and Essentials

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning


Breaking the Dilemma of Medical Image-to-image Translation

DC-cycleGAN: Bidirectional CT-to-MR Synthesis from Unpaired Data

Deformation equivariant cross-modality image synthesis with paired non-aligned training data


Correlate-and-Excite: Real-Time Stereo Matching via Guided Cost Volume Excitation

DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium


A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task

Reading Wikipedia to Answer Open-Domain Questions

Machine Comprehension Using Match-LSTM and Answer Pointer

Reinforced Mnemonic Reader for Machine Reading Comprehension

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Do Question Answering Modeling Improvements Hold Across Benchmarks?


Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

Multi-dimensional topological loss for cortical plate segmentation in
  fetal brain MRI


Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)

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

Multiplex Heterogeneous Graph Convolutional Network

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Spectral Clustering of Attributed Multi-relational Graphs

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network


An efficient and consistent bundle adjustment for lidar mapping

BALM: Bundle Adjustment for Lidar Mapping

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

ECTLO: Effective Continuous-Time Odometry Using Range Image for LiDAR with Small FoV


Code corresponding to our paper "A Graph-to-Sequence Model for AMR-to-Text Generation"

Neural AMR: Sequence-to-Sequence Models for Parsing and Generation

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


Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Better Sign Language Translation with STMC-Transformer

Sign Language Translation with Transformers.

Scaling Back-Translation with Domain Text Generation for Sign Language Gloss Translation


ASTER in Pytorch

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

IEEE transactions on pattern analysis and machine intelligence

Scene Text Image Super-Resolution in the Wild

TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Text Prior Guided Scene Text Image Super-Resolution

Rethinking Irregular Scene Text Recognition

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

TextMatcher: Cross-Attentional Neural Network to Compare Image and Text


Attention-guided Network for Ghost-free High Dynamic Range Imaging

NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results

Deep Learning for HDR Imaging: State-of-the-Art and Future Trends


A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

When to Trust Your Model: Model-Based Policy Optimization

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Is Model Ensemble Necessary? Model-based RL via a Single Model with
  Lipschitz Regularized Value Function

World Models via Policy-Guided Trajectory Diffusion


Fully Convlutional Neural Networks for state-of-the-art time series classification

Learning Deep Features for Discriminative Localization

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Imaging Time-Series to Improve Classification and Imputation


PyTorch implementation of cvpr2019 paper "Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres".

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

Image to Sphere: Learning Equivariant Features for Efficient Pose
  Prediction

Neural Fourier Transform: A General Approach to Equivariant
  Representation Learning


Python program to evaluate off-resonance Raman activity using VASP code as the backend.

Janus Monolayer Transition Metal Dichalcogenides

Piezoelectric domain walls in van der Waals antiferroelectric CuInP2Se6

Stabilization of O-O Bonds by d0 Cations in Li4+ xNi1- xWO6 (0 ≤ x ≤ 0.25) Rock Salt Oxides as the Origin of Large Voltage Hysteresis.

Journal of the American Chemical Society

Raman spectrum of
CrI3
: An
abinitio
 study

Silver route to cuprate analogs

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

Electronic and vibrational properties of
PbI2
: From bulk to monolayer

Synthesis of Xenon and Iron-Nickel Intermetallic Compounds at Earth's Core Thermodynamic Conditions.

Prediction of a new ground state of superhard compound B6O at ambient conditions

Synthesis of a mixed-valent tin nitride and considerations of its possible crystal structures

Infrared and Raman spectra of Bi2O2X and Bi2OX2 (X = S, Se, and Te) studied from first principles calculations


Numerical integration of Ito or Stratonovich SDEs

Modelling nonlinear dynamics of interacting tipping elements on complex networks: the PyCascades package

The European physical journal. Special topics

Parameter estimation of a two-component neutron star model with spin wandering

Monthly notices of the Royal Astronomical Society

Rapid parameter estimation of a two-component neutron star model with spin wandering using a Kalman filter

Apparent dispersion in pulsar braking index measurements caused by timing noise


Awesome Law NLP Research Work, Paper, Competition, Onlline System

Text summarization from legal documents: a survey

Deep learning in law: early adaptation and legal word embeddings trained on large corpora

A Methodology for a Criminal Law and Procedure Ontology for Legal Question Answering

Research and Design on Cognitive Computing Framework for Predicting Judicial Decisions

Journal of signal processing systems for signal, image, and video technology

Learning to Predict Charges for Judgment with Legal Graph

Data Augmentation for Deep Learning of Judgment Documents

Sino-foreign-interchange Workshop on Intelligent Science and Intelligent Data Engineering

Legal Cause Prediction with Inner Descriptions and Outer Hierarchies

Legal Article-Aware End-To-End Memory Network for Charge Prediction

Proceedings of the 2nd International Conference on Computer Science and Application Engineering

Using Case Facts to Predict Penalty with Deep Learning

Communications in computer and information science

Multi-task learning model for legal judgment predictions with charge keywords

清华大学学报. 自然科学版


The Combined Anomalous Object Segmentation (CAOS) Benchmark

Scaling Out-of-Distribution Detection for Real-World Settings

A Benchmark for Anomaly Segmentation.

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey


Short  Text Topic Modeling, JAVA

Short Text Topic Modeling Techniques, Applications, and Performance: A Survey

STTM: A Tool for Short Text Topic Modeling

Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations

A Gamma-Poisson Mixture Topic Model for Short Text

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Diversity-Aware Coherence Loss for Improving Neural Topic Models


pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

GET3D: A Generative Model of High Quality 3D Textured Shapes Learned
  from Images

3D-aware Image Synthesis via Learning Structural and Textural Representations

Generative Occupancy Fields for 3D Surface-Aware Image Synthesis

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields

FIRe: Fast Inverse Rendering using Directional and Signed Distance
  Functions

Benchmarking and Analyzing 3D-aware Image Synthesis with a Modularized
  Codebase


PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

Vision-Language Pre-Training for Boosting Scene Text Detectors

Revisiting Scene Text Recognition: A Data Perspective

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection


Skeleton-based action recognition models in PyTorch, including Two-Stream CNN, HCN, HCN-Baseline, Ta-CNN and Dynamic GCN

Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

International Conference on Multimedia and Expo

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

Topology-aware Convolutional Neural Network for Efficient Skeleton-based
  Action Recognition


Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

Feature extractor stacking for cross-domain few-shot learning


2019-SOTA简繁中文拼写检查工具：FASPell Chinese Spell Checker (Chinese Spell Check / 中文拼写检错 / 中文拼写纠错 / 中文拼写检查)

SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check

FASPell: A Fast, Adaptable, Simple, Powerful Chinese Spell Checker Based On DAE-Decoder Paradigm

Empirical Methods in Natural Language Processing

Dynamic Connected Networks for Chinese Spelling Check

Meeting of the Association for Computational Linguistics

CRASpell: A Contextual Typo Robust Approach to Improve Chinese Spelling Correction

Findings of the Association for Computational Linguistics: ACL 2022

uChecker: Masked Pretrained Language Models as Unsupervised Chinese
  Spelling Checkers


Neural network models for joint POS tagging and dependency parsing (CoNLL 2017-2018)

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing

Conference on Computational Natural Language Learning

From POS tagging to dependency parsing for biomedical event extraction


PyTorch Implementation of Learning to Prompt (L2P) for Continual Learning @ CVPR22

Learning to Prompt for Continual Learning

Revisiting Class-Incremental Learning with Pre-Trained Models:
  Generalizability and Adaptivity are All You Need

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental
  Learning


Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

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

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

Graph Learning based Recommender Systems: A Review

Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network

Personalised Meta-path Generation for Heterogeneous GNNs


Code and data for MedQA

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Kformer: Knowledge Injection in Transformer Feed-Forward Layers

Benchmarking Retrieval-Augmented Generation for Medicine

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models

An Automatic Evaluation Framework for Multi-turn Medical Consultations
  Capabilities of Large Language Models


PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)

Learn To Pay Attention

Survey of Explainable AI Techniques in Healthcare

Attention-Gated Networks for Improving Ultrasound Scan Plane Detection

Passive attention in artificial neural networks predicts human visual selectivity

Information Bottleneck Approach to Spatial Attention Learning


A 3D Generative Model for Structure-Based Drug Design (NeurIPS 2021)

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Exploring Chemical Space with Score-based Out-of-distribution Generation

Docking-based generative approaches in the search for new drug candidates

Learning Subpocket Prototypes for Generalizable Structure-based Drug
  Design


Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network

Position-Enhanced and Time-aware Graph Convolutional Network for Sequential Recommendations

Self Contrastive Learning for Session-based Recommendation

Mining Interest Trends and Adaptively Assigning Sample Weight for Session-based Recommendation


Graph theory analysis of brain MRI data

Rich-club in the brain’s macrostructure: Insights from graph theoretical analysis

Computational and structural biotechnology journal

Graph theory analysis of DTI tractography in children with traumatic injury

Brain Connectivity and Information-Flow Breakdown Revealed by a Minimum Spanning Tree-Based Analysis of MRI Data in Behavioral Variant Frontotemporal Dementia

Identification of key regulators in prostate cancer from gene expression datasets of patients

Mapping brain structural differences and neuroreceptor correlates in Parkinson’s disease visual hallucinations: a mega-analysis

Early-life stress exposure and large-scale covariance brain networks in extremely preterm-born infants

Altered Brain Structural Networks in Patients with Brain Arteriovenous Malformations Located in Broca's Area

Difference In The Topological Organization of White Matter Structural Connectome Between Methamphetamine and Heroin Use Disorder

Abnormal resting-state functional connectome in methamphetamine-dependent patients and its application in machine-learning-based classification


UntrimmedNets for Weakly Supervised Action Recognition and Detection

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

Semi-Supervised Temporal Action Detection with Proposal-Free Masking


Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information

Universal Conditional Masked Language Pre-training for Neural Machine Translation

Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency Regularization


Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Improved Training of Wasserstein GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

On Convergence and Stability of GANs

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

BlockGAN: Learning 3D Object-aware Scene Representations from Unlabelled Images

Dist-GAN: An Improved GAN using Distance Constraints


Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Explaining The Efficacy of Counterfactually Augmented Data

Detecting Local Insights from Global Labels: Supervised and Zero-Shot Sequence Labeling via a Convolutional Decomposition


Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Adversarial Self-Supervised Contrastive Learning

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

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


Implementation of DiffDock-PP: Rigid Protein-Protein Docking with Diffusion Models in PyTorch (ICLR 2023 - MLDD Workshop)


Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition

The Building Data Genome Project 2, energy meter data from the ASHRAE Great Energy Predictor III competition

The ASHRAE Great Energy Predictor III competition: Overview and results

Science and Technology for the Built Environment

BuildingsBench: A Large-Scale Dataset of 900K Buildings and Benchmark
  for Short-Term Load Forecasting


【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network  for Single Image Rain Removal

Not Just Streaks: Towards Ground Truth for Single Image Deraining

Networks are Slacking Off: Understanding Generalization Problem in Image
  Deraining


a Fine-tuned LLaMA that is Good at Arithmetic Tasks

Instruction Tuning for Large Language Models: A Survey

Goat: Fine-tuned LLaMA Outperforms GPT-4 on Arithmetic Tasks

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


Using latent space regression to analyze and leverage compositionality in GANs

EdiBERT, a generative model for image editing

Perceptual Artifacts Localization for Image Synthesis Tasks


Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

Machine Learning at the Network Edge: A Survey

Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance

On-Device Learning with Binary Neural Networks


Compound Probabilistic Context-Free Grammars for Grammar Induction

Unsupervised Recurrent Neural Network Grammars

An Empirical Comparison of Unsupervised Constituency Parsing Methods

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

On Importance Sampling-Based Evaluation of Latent Language Models

Ensemble Distillation for Unsupervised Constituency Parsing

Tree-shape Uncertainty for Analyzing the Inherent Branching Bias of Unsupervised Parsing Models

Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL)


PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets

BNAS-v2: Memory-Efficient and Performance-Collapse-Prevented Broad Neural Architecture Search

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

Mutually-aware Sub-Graphs Differentiable Architecture Search


Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction

A Frustratingly Easy Approach for Entity and Relation Extraction

A General Framework for Information Extraction using Dynamic Span Graphs

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Autoregressive Structured Prediction with Language Models

A Multi-Gate Encoder for Joint Entity and Relation Extraction


The code for multi-channel source separation and dereverberation such as FastMNMF1, FastMNMF2, and AR-FastMNMF2.

Fast Multichannel Source Separation Based on Jointly Diagonalizable Spatial Covariance Matrices

Semi-Supervised Multichannel Speech Enhancement With a Deep Speech Prior

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

Direction-Aware Adaptive Online Neural Speech Enhancement with an Augmented Reality Headset in Real Noisy Conversational Environments

IEEE/RJS International Conference on Intelligent RObots and Systems


Code for paper "Vocabulary Learning via Optimal Transport for Neural Machine Translation"

Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation

SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation

ACM transactions on Asian and low-resource language information processing


PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

On Variational Learning of Controllable Representations for Text without Supervision

Improving Variational Autoencoder for Text Modelling with Timestep-Wise Regularisation

Discrete Auto-regressive Variational Attention Models for Text Modeling


gvnn: Geometric Vision with Neural Networks

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

A Survey of Deep Learning for Scientific Discovery

gvnn: Neural Network Library for Geometric Computer Vision


Recurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO

Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

LTL2Action: Generalizing LTL Instructions for Multi-Task RL

Neural Networks as Model Selection with Incremental MDL Normalization

Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

Neuro-Symbolic World Models for Adapting to Open World Novelty


Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Graph-based Semi-supervised Learning: A Comprehensive Review

MILE: A Multi-Level Framework for Scalable Graph Embedding

Neural graph embeddings as explicit low-rank matrix factorization for link prediction

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

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs

QUINT: Node embedding using network hashing

IEEE transactions on knowledge and data engineering


S3D Text-Video model trained on HowTo100M using MIL-NCE

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

RareAct: A video dataset of unusual interactions

Video Question Answering with Phrases via Semantic Roles

Learning a Grammar Inducer from Massive Uncurated Instructional Videos


PyTorch code for EMNLP 2020 Paper "Vokenization: Improving Language Understanding with Visual Supervision"

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

Contextual Word Representations: A Contextual Introduction

Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer


Tensorflow implementation of Learning-based Video Motion Magnification

Unsupervised behaviour analysis and magnification (uBAM) using deep learning

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.


Code for ICML 2019 paper "Simple Black-box Adversarial Attacks"

Simple Black-box Adversarial Attacks

Projection & Probability-Driven Black-Box Attack

On the Effectiveness of Small Input Noise for Defending Against Query-based Black-Box Attacks

SOAR: Second-Order Adversarial Regularization

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


MMD-GAN: Towards Deeper Understanding of Moment Matching Network

MMD GAN: Towards Deeper Understanding of Moment Matching Network

Toward Equivalent Transformation of User Preferences in Cross Domain Recommendation

Non-parametric estimation of Jensen-Shannon Divergence in Generative Adversarial Network training

Subsampling Generative Adversarial Networks: Density Ratio Estimation in Feature Space With Softplus Loss

Generative Ratio Matching Networks


Football game, discontinued

Google Research Football: A Novel Reinforcement Learning Environment

Recognizing Events in Spatiotemporal Soccer Data

Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data

Agent-Centric Representations for Multi-Agent Reinforcement Learning

A Strategic Framework for Optimal Decisions in Football 1-vs-1
  Shot-Taking Situations: An Integrated Approach of Machine Learning,
  Theory-Based Modeling, and Game Theory


(WWW'21) ATON - an Outlier Interpreation / Outlier explanation method

Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network


Large Scale Fine-Grained Categorization  and Domain-Specific Transfer Learning. CVPR 2018

Squeeze-and-Excitation Networks

Rethinking the Hyperparameters for Fine-tuning

Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information


Implementation of the Convolution Neural Network for factoid QA on the answer sentence selection task

aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model

Neural Information Retrieval: A Literature Review

Cross-Pair Text Representations for Answer Sentence Selection

Injecting Relational Structural Representation in Neural Networks for Question Similarity


BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

SERAB: A multi-lingual benchmark for speech emotion recognition

BYOL for Audio: Exploring Pre-Trained General-Purpose Audio Representations

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Hybrid Handcrafted and Learnable Audio Representation for Analysis of Speech Under Cognitive and Physical Load


Official implementation of "VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"

End-to-End Estimation of Multi-Person 3D Poses from Multiple Cameras

Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images

DisguisOR: Holistic Face Anonymization for the Operating Room


An All-MLP solution for Vision, from Google AI

MLP-Mixer: An all-MLP Architecture for Vision

Understanding Contrastive Learning Requires Incorporating Inductive Biases

Sensing Control Parameters of Flute from Microphone Sound Based on Machine Learning from Robotic Performer


KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation

Pre-training language model incorporating domain-specific heterogeneous knowledge into a unified representation

An Evaluation of Chinese Human-Computer Dialogue Technology

An Empirical Study on Deep Neural Network Models for Chinese Dialogue Generation

RT-KGD: Relation Transition Aware Knowledge-Grounded Dialogue Generation

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System


Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection

Decomposed Mutual Information Optimization for Generalized Context in
  Meta-Reinforcement Learning


Event Extraction by Answering (Almost) Natural Questions

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

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

DEGREE: A Data-Efficient Generative Event Extraction Model

PHEE: A Dataset for Pharmacovigilance Event Extraction from Text

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

Few-shot Event Detection: An Empirical Study and a Unified View

Role Knowledge Prompting for Document-Level Event Argument Extraction


DeLighT: Very Deep and Light-Weight Transformers

DeLighT: Deep and Light-weight Transformer

DeFINE: DEep Factorized INput Token Embeddings for Neural Sequence Modeling

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Neural Machine Translation

ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation


Manifold Markov chain Monte Carlo methods in Python

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

Journal of the Royal Statistical Society. Series B, Statistical methodology

A General Metric for Riemannian Manifold Hamiltonian Monte Carlo

Hybrid Monte Carlo methods for sampling probability measures on submanifolds

Measure Transport with Kernel Stein Discrepancy

Multiple projection MCMC algorithms on submanifolds


A Configurable Recommender Systems Simulation Platform

RecSim: A Configurable Simulation Platform for Recommender Systems

User Behavior Simulation with Large Language Model based Agents

RL4RS: A Real-World Dataset for Reinforcement Learning based Recommender System

Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation.

Offline Meta-level Model-based Reinforcement Learning Approach for Cold-Start Recommendation


Maximum entropy modelling of species geographic distributions.

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

Simulating the effects of climate change across the geographical distribution of two medicinal plants in the genus Nardostachys

European badger habitat requirements in the Netherlands – combining ecological niche models with neighbourhood analysis

Spatial and environmental variation in phyllostomid bat (Chiroptera, Phyllostomidae) distribution in Mexico

Analysis of peste des petits ruminants virus spread and the risk of its introduction into the territory of the Russian Federation


Official PyTorch implementation of "Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image", ICCV 2019

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

Top-Down System for Multi-Person 3D Absolute Pose Estimation from Monocular Videos


Contrastive Predictive Coding for Automatic Speaker Verification

Representation Learning with Contrastive Predictive Coding

CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting

Contrastive Predictive Coding Based Feature for Automatic Speaker Verification

A Survey on Time-Series Pre-Trained Models


A simple commandline utility to generate grid-based signed distance field (level set) generator from triangle meshes, using code from Robert Bridson's website.

ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans

Learning 3D Shape Completion Under Weak Supervision

International journal of computer vision

Panoptic 3D Scene Reconstruction From a Single RGB Image

RetrievalFuse: Neural 3D Scene Reconstruction with a Database

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Neural Collision Detection for Deformable Objects


Test-time Local Converter

Simple Baselines for Image Restoration

Improving Image Restoration by Revisiting Global Information Aggregation

NAFSSR: Stereo Image Super-Resolution Using NAFNet


[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Multi-Stage Progressive Image Restoration

Restormer: Efficient Transformer for High-Resolution Image Restoration

Learning Enriched Features for Fast Image Restoration and Enhancement


Build Text Rerankers with Deep Language Models

Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022

Naver Labs Europe (SPLADE) @ TREC NeuCLIR 2022


STEAL - Learning Semantic Boundaries from Noisy Annotations (CVPR 2019)

SegFix: Model-Agnostic Boundary Refinement for Segmentation

Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations

DeepStrip: High Resolution Boundary Refinement


SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

Rethinking Range View Representation for LiDAR Segmentation

COARSE3D: Class-Prototypes for Contrastive Learning in Weakly-Supervised 3D Point Cloud Segmentation


Insightface Keras implementation

MagFace: A Universal Representation for Face Recognition and Quality Assessment

AdaFace: Quality Adaptive Margin for Face Recognition

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

LCAM: Low-Complexity Attention Module for Lightweight Face Recognition Networks


BiNE: Bipartite Network Embedding

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

Bipartite Graph Embedding via Mutual Information Maximization

HS-GCN: Hamming Spatial Graph Convolutional Networks for Recommendation

Learning Vertex Representations for Bipartite Networks

FOBE and HOBE: First- and High-Order Bipartite Embeddings

COIN: Co-Cluster Infomax for Bipartite Graphs

STERLING: Synergistic Representation Learning on Bipartite Graphs


See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Improved Techniques for Training GANs

Triple Generative Adversarial Nets

Triple Generative Adversarial Networks

SeGMA: Semi-Supervised Gaussian Mixture Auto-Encoder


PyTorch Implementation of Adversarial Training for Free!

Adversarial Training for Free!

Fast is better than free: Revisiting adversarial training

Boosting Adversarial Training with Hypersphere Embedding

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude

Explaining V1 Properties with a Biologically Constrained Deep Learning
  Architecture


FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding

Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation

Foreground segmentation using convolutional neural networks for multiscale feature encoding

An Empirical Review of Deep Learning Frameworks for Change Detection: Model Design, Experimental Frameworks, Challenges and Research Needs


Algorithms to recover input data from their gradient signal through a neural network

Inverting Gradients - How easy is it to break privacy in federated learning?

Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges

PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage

Defending against Reconstruction Attacks through Differentially Private Federated Learning for Classification of Heterogeneous Chest X-ray Data

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

Theoretically Principled Federated Learning for Balancing Privacy and
  Utility

Dropout is NOT All You Need to Prevent Gradient Leakage

Combining Variational Modeling with Partial Gradient Perturbation to
  Prevent Deep Gradient Leakage


PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Elucidating the Design Space of Diffusion-Based Generative Models

Improved Techniques for Training Score-Based Generative Models

Score-based Generative Modeling in Latent Space

Score-Based Generative Modeling with Critically-Damped Langevin
  Diffusion

Estimating the Optimal Covariance with Imperfect Mean in Diffusion
  Probabilistic Models

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models

Membership Inference of Diffusion Models


Source Codes: Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks--AAAI 2020

Towards Propagation Uncertainty: Edge-enhanced Bayesian Graph Convolutional Networks for Rumor Detection

ArCOV19-Rumors: Arabic COVID-19 Twitter Dataset for Misinformation Detection

Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

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

Evaluating the generalisability of neural rumour verification models

Examining the Limitations of Computational Rumor Detection Models
  Trained on Static Datasets


ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

SPAN: Spatial Pyramid Attention Network forImage Manipulation Localization

Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics


Crosslingual Generalization through Multitask Finetuning

Scaling Up Models and Data with  and

Instruction Tuning for Large Language Models: A Survey

A Survey of Large Language Models for Healthcare: from Data, Technology,
  and Applications to Accountability and Ethics

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box
  Machine-Generated Text Detection


CNN-RNN中文文本分类，基于TensorFlow

Convolutional Neural Networks for Sentence Classification

Character-level Convolutional Networks for Text Classification

Pre-Training with Whole Word Masking for Chinese BERT

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Android Malware Detection using Sequential Convolutional Neural Networks


Efficient 3D human pose estimation in video using 2D keypoint trajectories

3D human pose estimation in video with temporal convolutions and semi-supervised training

SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach

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

Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations


Source code for paper: Improving Grammatical Error Correction via Pre-Training a Copy-Augmented Architecture with Unlabeled Data

R^3: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

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

Generating Diverse Corrections with Local Beam Search for Grammatical Error Correction

International Conference on Computational Linguistics

Generating Inflectional Errors for Grammatical Error Correction in Hindi

International Joint Conference on Natural Language Processing

Data Augmentation of Incorporating Real Error Patterns and Linguistic Knowledge for Grammatical Error Correction

Proceedings of the 25th Conference on Computational Natural Language Learning


Mamba-UNet Zoo

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual
  Mamba-based UNet for Semi-Supervised Medical Image Segmentation

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation


PyTorch codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Learning for Weakly Supervised Object Detection".

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

Towards Precise End-to-end Weakly Supervised Object Detection Network

Cascade Attentive Dropout for Weakly Supervised Object Detection


Mol2vec - an unsupervised machine learning approach to learn vector representations of molecular substructures

Delfos: deep learning model for prediction of solvation free energies in generic organic solvents

Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference?

A benchmark dataset for machine learning in ecotoxicology

CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates


Code for reproducing f-AnoGAN training and anomaly scoring

Improved Training of Wasserstein GANs

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

The MVTec Anomaly Detection Dataset: A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Beyond Dents and Scratches: Logical Constraints in Unsupervised Anomaly Detection and Localization

Proxy-bridged Image Reconstruction Network for Anomaly Detection in
  Medical Images

Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network

Machine Learning in NextG Networks via Generative Adversarial Networks

IEEE transactions on cognitive communications and networking/IEEE Transactions on Cognitive Communications and Networking

The role of noise in denoising models for anomaly detection in medical images

EvAn: Neuromorphic Event-Based Sparse Anomaly Detection


Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Foundations of spatial perception for robotics: Hierarchical representations and real-time systems

The international journal of robotics research


3000000+语义理解与匹配数据集。可用于无监督对比学习、半监督学习等构建中文领域效果最好的预训练模型

SimCSE: Simple Contrastive Learning of Sentence Embeddings

C-Pack: Packaged Resources To Advance General Chinese Embedding

SDA: Simple Discrete Augmentation for Contrastive Sentence
  Representation Learning


TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Conceptual Compression via Deep Structure and Texture Synthesis


Code and data for the research paper "A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement" (Submitted to IEEE Transactions on Cybernetics)

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

A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model

BITPNet: Unsupervised Bio-Inspired Two-Path Network for Nighttime Traffic Image Enhancement

Super-Pixel Guided Low-Light Images Enhancement with Features Restoration


UAlbertaBot

Learning Macromanagement in StarCraft from Replays using Deep Learning

Modular Architecture for StarCraft II with Deep Reinforcement Learning

Combat Models for RTS Games

Asymmetric Action Abstractions for Multi-Unit Control in Adversarial Real-Time Games

Learning to Identify Rush Strategies in StarCraft


Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

Weakly-Supervised Semantic Segmentation with Visual Words Learning and Hybrid Pooling


Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Binarized Neural Networks

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

LightNN: Filling the Gap between Conventional Deep Neural Networks and Binarized Networks

Espresso: Efficient Forward Propagation for BCNNs

PocketNN: Integer-only Training and Inference of Neural Networks via
  Direct Feedback Alignment and Pocket Activations in Pure C++


This repository contains examples of fine-tuning Harmonized Landsat and Sentinel-2 (HLS) Prithvi foundation model.

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

Masked Autoencoders Are Scalable Vision Learners

Foundation Models for Generalist Geospatial Artificial Intelligence


An R package for modelling sediment archived climate proxy records.

Sedproxy: a forward model for sediment-archived climate proxies


[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Early Stopping for Deep Image Prior

Unlimited-Size Diffusion Restoration


These Python notebooks reproduce some figures in the following preprint using the libraries pyMOU and NetDynFlow: https://www.biorxiv.org/content/10.1101/531830v2

Functional connectivity in resting-state fMRI: Is linear correlation sufficient?

Estimation of Directed Effective Connectivity from fMRI Functional Connectivity Hints at Asymmetries of Cortical Connectome

Effective connectivity inferred from fMRI transition dynamics during movie viewing points to a balanced reconfiguration of cortical interactions

Model-based whole-brain effective connectivity to study distributed cognition in health and disease

Extracting orthogonal subject- and condition-specific signatures from fMRI data using whole-brain effective connectivity


Wrapper for short and long read mapping, creation of quality report(s) and estimation of genome size

BEDTools: a flexible suite of utilities for comparing genomic features

Minimap2: pairwise alignment for nucleotide sequences

MultiQC: summarize analysis results for multiple tools and samples in a single report

Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data

An Annotated Draft Genome for Radix auricularia (Gastropoda, Mollusca)

Hybridization Dynamics and Extensive Introgression in the Daphnia longispina Species Complex: New Insights from a High-Quality Daphnia galeata Reference Genome

Whole-genome re-sequencing data to infer historical demography and speciation processes in land snails: the study of two Candidula sister species

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

De novo genome assembly of the land snail Candidula unifasciata (Mollusca: Gastropoda)


Learning Concise Models from Long Execution Traces

DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

Active Learning of Abstract System Models from Traces using Model Checking


An R package to detect collective spatio-temporal phenomena

Propagating Wave of ERK Activation Orients Collective Cell Migration

ERK-mediated mechanochemical waves direct collective cell polarization

Control of osteoblast regeneration by a train of Erk activity waves

Collective ERK/Akt activity waves orchestrate epithelial homeostasis by driving apoptosis-induced survival

Calcium Wave Promotes Cell Extrusion

MAPK activity dynamics regulate non-cell autonomous effects of oncogene expression

Spatio-temporal Control of ERK Pulse Frequency Coordinates Fate Decisions during Mammary Acinar Morphogenesis


Retrieve paper metadata from conference proceedings and journals indexed in DBLP.

Sampling in software engineering research: a critical review and guidelines

A Decade of Code Comment Quality Assessment: A Systematic Literature
  Review


Mapping, filtering, and data hub visualisation pipeline for DNase, ATAC, ChIP data

BET inhibition disrupts transcription but retains enhancer-promoter contact

H3K79me2/3 controls enhancer–promoter interactions and activation of the pan-cancer stem cell marker PROM1/CD133 in MLL-AF4 leukemia cells

NGseqBasic - a single-command UNIX tool for ATAC-seq, DNaseI-seq, Cut-and-Run, and ChIP-seq data mapping, high-resolution visualisation, and quality control

On-microscope staging of live cells reveals changes in the dynamics of transcriptional bursting during differentiation


[MM 2022 Oral] MM-ALT: A Multimodal Automatic Lyric Transcription System

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

SpeechBrain: A General-Purpose Speech Toolkit

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster
  Prediction

Proceedings of the 30th ACM International Conference on Multimedia


code for model-targeted poisoning

Stronger Data Poisoning Attacks Break Data Sanitization Defenses

Model-Targeted Poisoning Attacks with Provable Convergence

Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds.

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


This is a Single-Molecule Break Junctions experiment data processing software built with Python and PyQt5.

Optical Trapping of a Single Molecule of Length Sub-1 nm in Solution

In Situ Monitoring of Transmetallation in Electric Potential-Promoted Oxidative Coupling in a Single-Molecule Junction

The Evolution of the Charge Transport Mechanism in Single-Molecule Break Junctions Revealed by Flicker Noise Analysis.

Small (Weinheim an der Bergstrasse, Germany)

In-situ electro-responsive through-space coupling enabling foldamers as volatile memory elements


Evolution of genome structure in the Drosophila simulans species complex

Evolutionary Genomics of Structural Variation in Asian Rice (Oryza sativa) Domestication

Topologically associating domains and their role in the evolution of genome structure and function in Drosophila

A high-continuity genome assembly of Chinese flowering cabbage (Brassica rapa var. parachinensis) provides new insights into Brassica genome structure evolution


Suite of Predictive Controllers for Industrial Embedded Systems. A Matlab toolbox for automatic code generation of solvers for MPC controllers.

Implementation of Model Predictive Control for Tracking in Embedded Systems Using a Sparse Extended ADMM Algorithm

Implementation of MPC in embedded systems using first order methods

Tractable robust MPC design based on nominal predictions

A sparse ADMM-based solver for linear MPC subject to terminal quadratic constraint.

Real-time implementation of MPC for tracking in embedded systems: Application to a two-wheeled inverted pendulum

Efficiently solving the harmonic model predictive control formulation


[TMLR23] FedDAG: Federated DAG Structure Learning

Masked Gradient-Based Causal Structure Learning

gCastle: A Python Toolbox for Causal Discovery

Towards Federated Bayesian Network Structure Learning with Continuous Optimization


Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation

Solving a low-rank factorization model for matrix completion by a nonlinear successive over-relaxation algorithm

Low-rank matrix completion by Riemannian optimization---extended version

Improved Iteratively Reweighted Least Squares for Unconstrained Smoothed ℓ_q Minimization

Low-rank matrix recovery via iteratively reweighted least squares
  minimization

Normalized Iterative Hard Thresholding for Matrix Completion

Low rank matrix completion by alternating steepest descent methods

Applied and computational harmonic analysis

Low-rank matrix completion via preconditioned optimization on the Grassmann manifold

CGIHT: Conjugate Gradient Iterative Hard Thresholding for Compressed Sensing and Matrix Completion

Accelerating Ill-Conditioned Low-Rank Matrix Estimation via Scaled Gradient Descent

R3MC: A Riemannian three-factor algorithm for low-rank matrix completion


Implementation of diffusion-based posterior sampling methods for inverse problems

Diffusion Posterior Sampling for General Noisy Inverse Problems

Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Denoising Diffusion Models for Plug-and-Play Image Restoration

Improving Diffusion Models for Inverse Problems Using Optimal Posterior
  Covariance


A working Python implementation to generate pascal-5i dataset

Fully Convolutional Networks for Semantic Segmentation

PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

One-Shot Learning for Semantic Segmentation


hyb: a bioinformatics pipeline for the analysis of CLASH (crosslinking, ligation and sequencing of hybrids) data

COMRADES determines in vivo RNA structures and interactions

Hfq CLASH uncovers sRNA-target interaction networks linked to nutrient availability adaptation

HuD Is a Neural Translation Enhancer Acting on mTORC1-Responsive Genes and Counteracted by the Y3 Small Non-coding RNA

RNase III CLASH in MRSA uncovers sRNA regulatory networks coupling metabolism to toxin expression

Zenodo (CERN European Organization for Nuclear Research)

SRRM4 Expands the Repertoire of Circular RNAs by Regulating Microexon Inclusion

miRBind: A Deep Learning Method for miRNA Binding Classification

Global mapping of RNA homodimers in living cells


A multi-reference network annotation tool to support omics analysis

HMDB 4.0: the human metabolome database for 2018

The MetaCyc database of metabolic pathways and enzymes - a 2019 update


N-Tuple Bandit Evolutionary Algorithm

The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation

The N-Tuple Bandit Evolutionary Algorithm for Automatic Game Improvement

Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best


An automated pipeline for processing DamID sequencing datasets

A KDM5–Prospero transcriptional axis functions during early neurodevelopment to regulate mushroom body formation

The LINC Complex Inhibits Excessive Chromatin Repression

NuRD‐independent Mi‐2 activity represses ectopic gene expression during neuronal maturation

Tissue-specific DamID protocol using nanopore sequencing


Translation of the mtrf-Toolbox for Matlab (see https://github.com/mickcrosse/mTRF-Toolbox).

On the interpretation of weight vectors of linear models in multivariate neuroimaging

The Multivariate Temporal Response Function (mTRF) Toolbox: A MATLAB Toolbox for Relating Neural Signals to Continuous Stimuli

Congruent Visual Speech Enhances Cortical Entrainment to Continuous Auditory Speech in Noise-Free Conditions

The journal of neuroscience/The Journal of neuroscience

Towards obtaining spatiotemporally precise responses to continuous sensory stimuli in humans: A general linear modeling approach to EEG


SOMatic is a tool for building Self-Organizing Maps and linking multiple maps.

Building gene regulatory networks from scATAC-seq and scRNA-seq using Linked Self Organizing Maps

Computational methods for the integrative analysis of single-cell data

Uncovering the mesendoderm gene regulatory network through multi-omic data integration

Deep Learning in Single-Cell Analysis


Advanced Techniques for Ecological Niche Modeling Made Easy

The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability


Efficient AGN light curve modeling and parameter estimation using celerite

A characteristic optical variability time scale in astrophysical accretion disks

Dwarf AGNs from variability for the origins of seeds (DAVOS): optical variability of broad-line dwarf AGNs from the zwicky transient facility


A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

Deep Pyramidal Residual Networks

Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape

Ensemble Model Patching: A Parameter-Efficient Variational Bayesian
  Neural Network

Bio-inspired Min-Nets Improve the Performance and Robustness of Deep
  Networks

End-to-End Learning-Based Wireless Image Recognition Using the PyramidNet in Edge Intelligence


"SinGAN : Learning a Generative Model from a Single Natural Image" in TensorFlow 2

Improved Training of Wasserstein GANs

Instance Normalization: The Missing Ingredient for Fast Stylization

SinGAN: Learning a Generative Model from a Single Natural Image


Visualize and perform a multitude of operations on newick files

Is it possible to reconstruct an accurate cell lineage using CRISPR recorders

CeLaVi: An Interactive Cell Lineage Visualisation Tool

Transcriptome Sequencing of the Striped Cucumber Beetle, Acalymma vittatum (F.), Reveals Numerous Sex-Specific Transcripts and Xenobiotic Detoxification Genes

Identification of H3N2 NA and PB1-F2 genetic variants and their association with disease symptoms during the 2014-15 influenza season


Code for 'Mapping State Space using Landmarks for Universal Goal Reaching'.

Successor Feature Landmarks for Long-Horizon Goal-Conditioned Reinforcement Learning

Imitating Graph-Based Planning with Goal-Conditioned Policies


Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering

Time-Series Anomaly Detection with Implicit Neural Representation


Easily identify and label sentence intervals using various taggers.

A Domain-independent Rule-based Framework for Event Extraction

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS

Odin’s Runes: A Rule Language for Information Extraction

Description of the Odin Event Extraction Framework and Rule Language


A self-supervised learning framework for audio-visual speech

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster
  Prediction

Robust Self-Supervised Audio-Visual Speech Recognition

u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer
  to Unlabeled Modality

Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT

Relaxed Attention for Transformer Models

Detecting Deepfakes Without Seeing Any


A microbiome analysis toolkit for R

Recipe for a Healthy Gut: Intake of Unpasteurised Milk Is Associated with Increased Lactobacillus Abundance in the Human Gut Microbiome

The live biotherapeutic Blautia stercoris MRx0006 attenuates social deficits, repetitive behaviour, and anxiety-like behaviour in a mouse model relevant to autism

Prebiotic supplementation modulates selective effects of stress on behavior and brain metabolome in aged mice

Diet Prevents Social Stress-Induced Maladaptive Neurobehavioural and Gut Microbiota Changes in a Histamine-Dependent Manner

International journal of molecular sciences


Free PV API


Official code of our NAACL 2019 paper on Zero-Shot Cross-Lingual Transfer with Order Differences

On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing

Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

A little perturbation makes a difference: Treebank augmentation by perturbation improves transfer parsing


Counterfactual Regression

Estimating individual treatment effect: generalization bounds and algorithms

A Survey on Causal Inference

Generalization Bounds and Representation Learning for Estimation of
  Potential Outcomes and Causal Effects

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Towards unique and unbiased causal effect estimation from data with hidden variables

SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data

Estimation of Individual Treatment Effect in Latent Confounder Models via Adversarial Learning.

Long-Term Effect Estimation with Surrogate Representation

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation

β-Intact-VAE: Identifying and Estimating Causal Effects under
  Limited Overlap


Public releases of the FLEE agent-based modelling code.

A generalized simulation development approach for predicting refugee destinations

How Policy Decisions Affect Refugee Journeys in South Sudan: A Study using Automated Ensemble Simulations

Journal of Artificial Societies and Social Simulation

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Sensitivity-driven simulation development: a case study in forced migration


Warcraft II World Map Editor

Differentiation of Blackbox Combinatorial Solvers

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

Decision-Focused Learning: Foundations, State of the Art, Benchmark and
  Future Opportunities

Adaptive Perturbation-Based Gradient Estimation for Discrete Latent Variable Models

Modified Gauss-Newton Algorithms under Noise


Creative Commons Attribution 4.0 International

This is a repository for the paper on testing inductive bias with scaled-down RoBERTa models.

What do you learn from context? Probing for sentence structure in contextualized word representations

Learning Which Features Matter: RoBERTa Acquires a Preference for Linguistic Generalizations (Eventually)


This is an implementation of ACRNet for results reproduction on COST2100

Overview of Deep Learning-Based CSI Feedback in Massive MIMO Systems

Binarized Aggregated Network With Quantization: Flexible Deep Learning Deployment for CSI Feedback in Massive MIMO Systems

Aggregated Network for Massive MIMO CSI Feedback


Instance-Optimal Compressed Sensing via Posterior Sampling

Fairness for Image Generation with Uncertain Sensitive Attributes

Benchmarking the Fairness of Image Upsampling Methods


FogBus2: A Lightweight and Distributed Container-based Framework for Integration of IoT-enabled Systems with Edge and Cloud Computing

Resource Management in Edge and Fog Computing using FogBus2 Framework

μ-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning
  Technique for Service Offloading in Fog computing Environments

Deep Reinforcement Learning-based scheduling for optimizing system load and response time in edge and fog computing environments


Tools for processing treebank trees

Unlexicalized Transition-based Discontinuous Constituency Parsing

Span-Based LCFRS-2 Parsing

International Workshop/Conference on Parsing Technologies

Parsing German: How Much Morphology Do We Need?

discoursegraphs: A graph-based merging tool and converter for multilayer annotated corpora

Nordic Conference of Computational Linguistics

Discosuite - A parser test suite for German discontinuous structures


The multi-regional Integrated Assessment Model RICE50+

RICE50+: DICE model at country and regional level

From optimal to robust climate strategies: expanding integrated assessment model ensembles to manage economic, social, and environmental objectives

SRM on the table: the role of geoengineering for the stability and effectiveness of climate coalitions


This is an official repository for "Artificial Text Detection via Examining the Topology of Attention Maps" presented at EMNLP 2021 conference.

To ChatGPT, or not to ChatGPT: That is the question!

DEMASQ: Unmasking the ChatGPT Wordsmith


A simple, continuous-control environment for OpenAI Gym

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Reinforcement Learning in Presence of Discrete Markovian Context
  Evolution

Generative Planning for Temporally Coordinated Exploration in
  Reinforcement Learning

Decomposed Mutual Information Optimization for Generalized Context in
  Meta-Reinforcement Learning

Iterative Oblique Decision Trees Deliver Explainable RL Models


Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Learning to Drive in a Day

On the use of Deep Autoencoders for Efficient Embedded Reinforcement Learning

A Joint Imitation-Reinforcement Learning Framework for Reduced Baseline Regret