Tweets in Time of Conflict: A Public Dataset Tracking the Twitter
  Discourse on the War Between Ukraine and Russia

Propaganda and Misinformation on Facebook and Twitter during the Russian Invasion of Ukraine

Opinion Mining of Green Energy Sentiment: A Russia-Ukraine Conflict Analysis

How does Twitter account moderation work? Dynamics of account creation and suspension on Twitter during major geopolitical events


Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

Meta-learning with differentiable closed-form solvers

Few-Shot Classification with Feature Map Reconstruction Networks

Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification

DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning

Tensor feature hallucination for few-shot learning

Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning

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


CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching

PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching

MSMD-Net: Deep Stereo Matching with Multi-scale and Multi-dimension Cost Volume.


Yuck is a local-search constraint solver with FlatZinc interface

Generating Local Search Neighborhood with Synthesized Logic Programs

A Framework for Generating Informative Benchmark Instances


OV²SLAM is a Fully Online and Versatile Visual SLAM for Real-Time Applications

OV^2SLAM : A Fully Online and Versatile Visual SLAM for Real-Time
  Applications

Visual SLAM: What are the Current Trends and What to Expect?

Hyperspectral 3D Mapping of Underwater Environments


Methods of training NLP models to ignored biased strategies

SQuAD: 100,000+ Questions for Machine Comprehension of Text

TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases

Issues with Entailment-based Zero-shot Text Classification

Meeting of the Association for Computational Linguistics

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA


ICLR 2021, Fair Mixup: Fairness via Interpolation

Fair Mixup: Fairness via Interpolation

Learning fair representation with a parametric integral probability metric

Input-agnostic Certified Group Fairness via Gaussian Parameter Smoothing


Transformer encoder-decoder for emotion detection in dialogues

Topic-Driven and Knowledge-Aware Transformer for Dialogue Emotion Detection

CoMPM: Context Modeling with Speaker's Pre-trained Memory Tracking for Emotion Recognition in Conversation

DualGATs: Dual Graph Attention Networks for Emotion Recognition in Conversations

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Revisiting Disentanglement and Fusion on Modality and Context in Conversational Multimodal Emotion Recognition


The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight paper)

NVAE: A Deep Hierarchical Variational Autoencoder

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator


streaming attention networks for end-to-end automatic speech recognition

Transformer-based Online CTC/attention End-to-End Speech Recognition Architecture

Transformer-Based Online Speech Recognition with Decoder-end Adaptive Computation Steps

Head-synchronous Decoding for Transformer-based Streaming ASR


High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper

Noise2Noise: Learning Image Restoration without Clean Data

Noise2Void - Learning Denoising from Single Noisy Images


Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images (TNNLS 2023)

Object detection in optical remote sensing images: A survey and a new benchmark

Isprs Journal of Photogrammetry and Remote Sensing

iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images


Scripts to estimate genome size and coverage from kmer distribution generated by jellyfish

Molecular evolutionary trends and feeding ecology diversification in the Hemiptera, anchored by the milkweed bug genome

Resolving evolutionary relationships in lichen-forming fungi using diverse phylogenomic datasets and analytical approaches

The Genome Sequence of Alpine Megacarpaea delavayi Identifies Species-Specific Whole-Genome Duplication

Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants


Prompt-to-Prompt Image Editing with Cross Attention Control

Null-text Inversion for Editing Real Images using Guided Diffusion Models

MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing

An Edit Friendly DDPM Noise Space: Inversion and Manipulations

Improving Tuning-Free Real Image Editing with Proximal Guidance


Sequence Modeling with Structured State Spaces

Efficiently Modeling Long Sequences with Structured State Spaces

HiPPO: Recurrent Memory with Optimal Polynomial Projections

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

It's Raw! Audio Generation with State-Space Models

Diagonal State Spaces are as Effective as Structured State Spaces

Diagonal State Space Augmented Transformers for Speech Recognition


ATOM3D: Tasks On Molecules in Three Dimensions

Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures.

Pre-training of Equivariant Graph Matching Networks with Conformation
  Flexibility for Drug Binding


Code & data accompanying the WSDM 2021 paper "Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph"

Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases

FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation


Detecting AI Trojans Using Meta Neural Analysis

The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices

Toward a Critical Evaluation of Robustness for Deep Learning Backdoor Countermeasures

Horizontal Class Backdoor to Deep Learning


Repository providing a wide range of self-supervised pretrained models for computer vision tasks.

A Simple Framework for Contrastive Learning of Visual Representations

Improved Baselines with Momentum Contrastive Learning

Self-Supervised Pretraining Improves Self-Supervised Pretraining


A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

Neural-Symbolic VQA: Disentangling Reasoning from Vision and Language Understanding

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

Neural Groundplans: Persistent Neural Scene Representations from a
  Single Image

MultiViz: Towards Visualizing and Understanding Multimodal Models

Transformation Driven Visual Reasoning

Deep Embedded Non-Redundant Clustering

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Object-wise Masked Autoencoders for Fast Pre-training

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D
  Scene Generation

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models


CaDM: Context-aware Dynamics Model for Generalization in Model-based Reinforcement Learning

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

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators

State Regularized Policy Optimization on Data with Dynamics Shift


The source code of article "Distinguish Confusing Law Articles for Legal Judgment Prediction", ACL 2020

Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL


A PCB defect dataset.

Online PCB Defect Detector On A New PCB Defect Dataset

Defect Detection Methods for Industrial Products Using Deep Learning Techniques: A Review

PCB Defect Detection via Local Detail and Global Dependency Information


This repository contains the codes for first large-scale investigation of Differentially Private Convex Optimization algorithms.

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

Differentially Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry

Faster Differentially Private Convex Optimization via Second-Order
  Methods


A Diagnostic Study of Explainability Techniques for Text Classification

Towards Explainable Fact Checking


S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Exploring Simple Siamese Representation Learning

Improved Baselines with Momentum Contrastive Learning


Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth

Growing urban bicycle networks


DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

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

GPT-who: An Information Density-based Machine-Generated Text Detector

How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts

DEMASQ: Unmasking the ChatGPT Wordsmith


Author's PyTorch implementation of BCQ for continuous and discrete actions

Off-Policy Deep Reinforcement Learning without Exploration

An Optimistic Perspective on Offline Reinforcement Learning

Planning with Diffusion for Flexible Behavior Synthesis

Benchmarking Batch Deep Reinforcement Learning Algorithms

PLAS: Latent Action Space for Offline Reinforcement Learning

Safe Model-Based Off-Policy Reinforcement Learning for Eco-Driving in Connected and Automated Hybrid Electric Vehicles

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

Robust Reinforcement Learning using Offline Data

PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators


olaFlow CFD Suite is a free and open source project committed to bringing the latest advances for the simulation of wave dynamics to the OpenFOAM® and FOAM-extend communities.

Validation of RANS Modelling for Wave Interactions with Sea Dikes on Shallow Foreshores Using a Large-Scale Experimental Dataset

Journal of marine science and engineering

Characteristics of Accelerations and Pressure Gradient during Run-Down of Solitary Wave over Very Steep Beach: A Case Study

Evolution of Velocity Field and Vortex Structure during Run-Down of Solitary Wave over Very Steep Beach

Variation Characteristics of Irregular Wave Fields around 3-Dimensional Low-Crested-Breakwater

Journal of Korean Society of Coastal and Ocean Engineers


Contrastive Learning (SimCLR) for Human Activity Recognition

Exploring Contrastive Learning in Human Activity Recognition for Healthcare

Assessing the State of Self-Supervised Human Activity Recognition Using Wearables

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Cross-Domain HAR: Few Shot Transfer Learning for Human Activity
  Recognition


A set of treebanks for multiple languages annotated in basic Stanford-style dependencies.

Many Languages, One Parser

A Sub-Character Architecture for Korean Language Processing

A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks

International Conference on Computational Linguistics

Low-Resource Parsing with Crosslingual Contextualized Representations

Mutual Information Maximization for Simple and Accurate Part-Of-Speech Induction

Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning

Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments

RELEVANCE OF LINGUISTIC STRUCTURE IN NEURAL ARCHITECTURES FOR NLP

Apprentissage d'analyseur en dépendances cross-lingue par projection partielle de dépendances (Cross-lingual learning of dependency parsers from partially projected dependencies).


A GAN framework

Generative Adversarial Networks

Image-to-Image Translation with Conditional Adversarial Networks

Wasserstein GAN

Improved Training of Wasserstein GANs


A Library of ADMM for Sparse and Low-rank Optimization

Tensor Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Tensors via Convex Optimization

A Unified Alternating Direction Method of Multipliers by Majorization Minimization

Multi-dimensional imaging data recovery via minimizing the partial sum of tubal nuclear norm

Journal of computational and applied mathematics

Tensor Q-Rank: New Data Dependent Definition of Tensor Rank

A Manifold Proximal Linear Method for Sparse Spectral Clustering with Application to Single-Cell RNA Sequencing Data Analysis

Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI

Handling Slice Permutations Variability in Tensor Recovery

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


Implementation of CenterNet and FairMOT with PyTorch Lightning

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression

CornerNet: Detecting Objects as Paired Keypoints

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection


Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

Single-Shot Domain Adaptation via Target-Aware Generative Augmentation


Code for the paper: GCDT: A Global Context Enhanced Deep Transition Architecture for Sequence Labeling

Handling Rare Entities for Neural Sequence Labeling

Segmenting Natural Language Sentences via Lexical Unit Analysis

Neural Sequence Segmentation as Determining the Leftmost Segments


High-performance error correction for Illumina resequencing data

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

BFC: correcting Illumina sequencing errors

A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis

Correcting Illumina sequencing errors for human data

Denoising of Aligned Genomic Data

Genome assembly of primitive cultivated potato Solanum stenotomum provides insights into potato evolution


Scalable Graph Neural Networks for Heterogeneous Graphs

SIGN: Scalable Inception Graph Neural Networks

Efficient Heterogeneous Graph Learning via Random Projection


This code package implements the prototypical part network (ProtoPNet) from the paper "This Looks Like That: Deep Learning for Interpretable Image Recognition" (to appear at NeurIPS 2019), by Chaofan Chen* (Duke University), Oscar Li* (Duke University), Chaofan Tao (Duke University), Alina Jade Barnett (Duke University), Jonathan Su (MIT Lincoln Laboratory), and Cynthia Rudin (Duke University) (* denotes equal contribution).

This Looks Like That, Because ... Explaining Prototypes for Interpretable Image Recognition

Interpretable Image Classification with Differentiable Prototypes Assignment

Concept-level Debugging of Part-Prototype Networks

Interpretability Benchmark for Evaluating Spatial Misalignment of
  Prototypical Parts Explanations


RangeViT: Towards Vision Transformers for 3D Semantic Segmentation in Autonomous Driving

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


Code for papers "A Surprisingly Robust Trick for Winograd Schema Challenge" and "WikiCREM: A Large Unsupervised Corpus for Coreference Resolution"

Coreferential Reasoning Learning for Language Representation

A Surprisingly Robust Trick for the Winograd Schema Challenge


A knowledge base completion method which handles temporal metadata

Tensor Decompositions for temporal knowledge base completion

Temporal Knowledge Graph Forecasting with Neural ODE

TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs

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

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

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

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

TeAST: Temporal Knowledge Graph Embedding via Archimedean Spiral Timeline


PyTorch Implementation of PortaSpeech: Portable and High-Quality Generative Text-to-Speech

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

FastSpeech: Fast, Robust and Controllable Text to Speech

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing


The Image Registration Toolkit

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Fast Volume Reconstruction From Motion Corrupted Stacks of 2D Slices

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Brain Extraction Using Label Propagation and Group Agreement: Pincram

Patterns of grey matter loss associated with motor subscores in early Parkinson's disease

A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data


[CVPR2023] MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors


code and data for my COLING paper "An Interpretable Reasoning Network for Multi-Relation Question Answering"

UHop: An Unrestricted-Hop Relation Extraction Framework for Knowledge-Based Question Answering

Improving Question Answering over Knowledge Graphs Using Graph Summarization

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation

Edge-Aware Graph Neural Network for Multi-Hop Path Reasoning over Knowledge Base

Computational intelligence and neuroscience


NASAaccess is R package that can generate gridded ascii tables of climate (CIMP5) and weather data (GPM, TRMM, GLDAS) needed to drive various hydrological models (e.g., SWAT, VIC, RHESSys, ..etc)

Web-based decision support system tools: The Soil and Water Assessment Tool Online visualization and analyses (SWATOnline) and NASA earth observation data downloading and reformatting tool (NASAaccess)

Environmental modelling & software : with environment data news


Data sets for multi-view learning.

Multi-View Multiple Clustering

Learning Autoencoders with Relational Regularization

Identifying and ranking potential driver genes of Alzheimer’s disease using multiview evidence aggregation

Multi-view Data Visualisation via Manifold Learning

Hierarchical Optimal Transport for Robust Multi-View Learning

An Ensemble and Multi-View Clustering Method Based on Kolmogorov Complexity

S-multi-SNE: Semi-Supervised Classification and Visualisation of
  Multi-View Data


Project page of the paper 'Analyzing Perception-Distortion Tradeoff using Enhanced Perceptual Super-resolution Network' (ECCVW 2018)

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Maintaining Natural Image Statistics with the Contextual Loss


Dream to Control: Learning Behaviors by Latent Imagination

Dreaming: Model-based Reinforcement Learning by Latent Imagination without Reconstruction

Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning.


Creative Commons Attribution Share Alike 4.0 International

A simple library for querying the URIEL typological database.

Learning Language Representations for Typology Prediction

Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity

IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages

Probing Multilingual BERT for Genetic and Typological Signals

Eliciting the Translation Ability of Large Language Models via
  Multilingual Finetuning with Translation Instructions

Adapting multilingual speech representation model for a new, underresourced language through multilingual fine-tuning and continued pretraining

Model Selection for Cross-Lingual Transfer

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training

A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space

Language and Task Arithmetic with Parameter-Efficient Layers for
  Zero-Shot Summarization


GEITje 7B: een groot open Nederlands taalmodel

Llama 2: Open Foundation and Fine-Tuned Chat Models

NEFTune: Noisy Embeddings Improve Instruction Finetuning

DUMB: A Benchmark for Smart Evaluation of Dutch Models


Unofficial implementation of the DeepMind papers "Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples" & "Fixing Data Augmentation to Improve Adversarial Robustness" in PyTorch

Improving Robustness using Generated Data

Efficient and Effective Augmentation Strategy for Adversarial Training


Official Implementation of Neural Splines

FALKON: An Optimal Large Scale Kernel Method

On the Similarity between the Laplace and Neural Tangent Kernels

POCO: Point Convolution for Surface Reconstruction

Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks


[ICML 2023] Code for our paper “Compositional Exemplars for In-context Learning”.

Learning To Retrieve Prompts for In-Context Learning

GPT-FinRE: In-context Learning for Financial Relation Extraction using
  Large Language Models


Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

Local Gradients Smoothing: Defense against localized adversarial attacks

Boosting the Transferability of Adversarial Attacks with Reverse
  Adversarial Perturbation

FaceGuard: A Self-Supervised Defense Against Adversarial Face Images

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework


Study NeuralUCB and regret analysis for contextual bandit with neural decision

Provably Efficient Reinforcement Learning with Linear Function Approximation

Neural Contextual Bandits with UCB-based Exploration

Frequentist Regret Bounds for Randomized Least-Squares Value Iteration


Prod Env

Large Language Models are Zero-Shot Reasoners

Augmented Large Language Models with Parametric Knowledge Guiding

Ask One More Time: Self-Agreement Improves Reasoning of Language Models
  in (Almost) All Scenarios


Histopathology Image Analysis

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

Swarm learning for decentralized artificial intelligence in cancer histopathology

Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology

Artificial intelligence for detection of microsatellite instability in colorectal cancer—a multicentric analysis of a pre-screening tool for clinical application

Weakly supervised annotation‐free cancer detection and prediction of genotype in routine histopathology

Predicting Mutational Status of Driver and Suppressor Genes Directly from Histopathology With Deep Learning: A Systematic Study Across 23 Solid Tumor Types

Benchmarking artificial intelligence methods for end-to-end computational pathology

Encrypted federated learning for secure decentralized collaboration in cancer image analysis


Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching

Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks

MetaPoison: Practical General-purpose Clean-label Data Poisoning


Accurate and robust  imputation of scRNA-seq data

DrImpute: imputing dropout events in single cell RNA sequencing data

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations

Co-regulation and function of FOXM1/RHNO1 bidirectional genes in cancer

Network-Based Single-Cell RNA-Seq Data Imputation Enhances Cell Type Identification

Imputation Methods for scRNA Sequencing Data

JOINT for large-scale single-cell RNA-sequencing analysis via soft-clustering and parallel computing

Issues arising from benchmarking single-cell RNA sequencing imputation methods


Generic model checker for concurrent C programs (mirror repository)

Effective lock handling in stateless model checking

Proceedings of the ACM on programming languages

Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models

Formal Verification of Chase-Lev Deque in Concurrent Separation Logic


Light-weighted neural network inference for object detection on small-scale FPGA board

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices


Metrica Sports sample tracking and event data

Expected passes

Time-series Imputation of Temporally-occluded Multiagent Trajectories

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Complexity emerges in measures of the marking dynamics in football games


Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

FlowNet3D: Learning Scene Flow in 3D Point Clouds

MotionSqueeze: Neural Motion Feature Learning for Video Understanding


Edge server, user dataset for Edge Computing research

Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing

Online Collaborative Data Caching in Edge Computing

IEEE transactions on parallel and distributed systems

Cost-Effective App Data Distribution in Edge Computing

READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment

Cost-Effective App User Allocation in an Edge Computing Environment

Trading off Between User Coverage and Network Robustness for Edge Server Placement

Data, User and Power Allocations for Caching in Multi-Access Edge Computing

QoE-aware user allocation in edge computing systems with dynamic QoS

Robustness-oriented k Edge Server Placement

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

OL-MEDC: An Online Approach for Cost-Effective Data Caching in Mobile Edge Computing Systems


Attention Is All You Need

Squeeze-and-Excitation Networks

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

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

Monaural Speech Enhancement with Complex Convolutional Block Attention Module and Joint Time Frequency Losses

FRCRN: Boosting Feature Representation Using Frequency Recurrence for Monaural Speech Enhancement


Manipulating the inner representations of StyleGAN2

Network Bending: Expressive Manipulation of Deep Generative Models

Network Bending: Manipulating The Inner Representations of Deep Generative Models.

Network Bending: Expressive Manipulation of Generative Models in Multiple Domains


Collaborative text editor written in Elixir/Phoenix, running at alchemy.digitalfreepen.com

Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors

Proceedings of the ACM on human-computer interaction

Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications.

Real Differences between OT and CRDT for Co-Editors


A collection of small-sample, high-dimensional microarray data sets to assess machine-learning algorithms and models.

Second-generation p-values: Improved rigor, reproducibility, & transparency in statistical analyses

Data Generators for Learning Systems Based on RBF Networks

IEEE transactions on neural networks and learning systems

On the Use of Random Forest for Two-Sample Testing

An update on statistical boosting in biomedicine

Distance-based classifier by data transformation for high-dimension, strongly spiked eigenvalue models

A Novel Hybrid Classification Method Based on the Opposition-Based Seagull Optimization Algorithm

Sparse principal component analysis via axis-aligned random projections

Targeted Random Projection for Prediction from High-Dimensional Features

Classification for high-dimension low-sample size data

Sparse quadratic classification rules via linear dimension reduction


B-cos Networks: Alignment is All we Need for Interpretability

B-cos Networks: Alignment is All We Need for Interpretability

Holistically Explainable Vision Transformers

Using Explanations to Guide Models


[NeurIPS 2019] Deep Set Prediction Networks

Deep Set Prediction Networks

FSPool: Learning Set Representations with Featurewise Sort Pooling

Top-N: Equivariant set and graph generation without exchangeability


A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

Infinite-Horizon Graph Filters: Leveraging Power Series to Enhance
  Sparse Information Aggregation


An easy-to-use package to restore punctuation of the text.

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online
  Videos


Migrating the SNP array-based homologous recombination deficiency measures to next generation sequencing data of breast cancer

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

Determining homologous recombination deficiency scores with whole exome sequencing and their association with responses to neoadjuvant chemotherapy in breast cancer

Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study

medRxiv : the preprint server for health sciences


Official Pytorch Implementation of GraphiT

GraphiT: Encoding Graph Structure in Transformers


Code and Models for the paper "End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering" (NeurIPS 2021)

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

Improving Passage Retrieval with Zero-Shot Question Generation

Questions Are All You Need to Train a Dense Passage Retriever


Variational Graph Recurrent Neural Networks - PyTorch

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction

A Comprehensive Survey on Graph Summarization with Graph Neural Networks


Yet another k-mer analyzer

A draft human pangenome reference

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

THP9 enhances seed protein content and nitrogen-use efficiency in maize

Scalable Nanopore sequencing of human genomes provides a comprehensive view of haplotype-resolved variation and methylation

bioRxiv : the preprint server for biology

Whole genome assemblies ofZophobas morioandTenebrio molitor

A chromosome-level reference genome of a Convolvulaceae species Ipomoea cairica

The haplotype-resolved telomere-to-telomere carnation (Dianthus caryophyllus) genome reveals the correlation between genome architecture and gene expression


Codebase for ECCV18 "The Sound of Pixels"

The Sound of Pixels

Co-Separating Sounds of Visual Objects

TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation


TTT Code Release

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


Repository for the paper "Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning"

Attention Is All You Need

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


Face recognition system for ID photos

DocFace: Matching ID Document Photos to Selfies

DocFace+: ID Document to Selfie Matching

Identity Document to Selfie Face Matching Across Adolescence


This is an implementation demo of the ICLR 2021 paper [Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks](https://openreview.net/pdf?id=9l0K4OM-oXE) in PyTorch.

Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks

Anti-Backdoor Learning: Training Clean Models on Poisoned Data

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness

Backdoor Defense via Decoupling the Training Process

Adversarial Unlearning of Backdoors via Implicit Hypergradient

BackdoorBench: A Comprehensive Benchmark of Backdoor Learning

Webly-Supervised Fine-Grained Recognition with Partial Label Learning

Backdoor Attack through Frequency Domain

Backdoor Cleansing with Unlabeled Data


Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

SimTS: Rethinking Contrastive Representation Learning for Time Series
  Forecasting

A Co-training Approach for Noisy Time Series Learning

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Unofficial PyTorch Reimplementation of RandAugment.

Randaugment: Practical automated data augmentation with a reduced search space

Fast AutoAugment

HANA: A HAndwritten NAme Database for Offline Handwritten Text
  Recognition

Model-Based Domain Generalization

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Robust Training of Social Media Image Classification Models

CNN-based event classification of alpha-decay events in nuclear emulsion

Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment

Practical Assessment of Generalization Performance Robustness for Deep
  Networks via Contrastive Examples

Optimising for Interpretability: Convolutional Dynamic Alignment Networks


The DevNet project on github stores the PacBio DevNet website.

Canu: scalable and accurate long-read assembly via adaptive k-mer weighting and repeat separation

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

Fast and accurate de novo genome assembly from long uncorrected reads

MinION-based long-read sequencing and assembly extends the Caenorhabditis elegans reference genome

Synthetic long-read sequencing reveals intraspecies diversity in the human microbiome

Inferring synteny between genome assemblies: a systematic evaluation

Illuminating the dark side of the human transcriptome with long read transcript sequencing

A comparative evaluation of hybrid error correction methods for error-prone long reads

Completing bacterial genome assemblies: strategy and performance comparisons

OPERA-LG: efficient and exact scaffolding of large, repeat-rich eukaryotic genomes with performance guarantees


ResNet model in TensorFlow

Deep Residual Learning for Image Recognition

Deep Networks with Stochastic Depth

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Automating Morphological Profiling with Generic Deep Convolutional Networks

Ludwig: a type-based declarative deep learning toolbox


[ICLR'19] Meta-learning with differentiable closed-form solvers

How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning

Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification


Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Relational Message Passing for Knowledge Graph Completion

Joint Embedding Learning of Educational Knowledge Graphs


DC3: A Learning Method for Optimization with Hard Constraints

DC3: A learning method for optimization with hard constraints

Self-Supervised Primal-Dual Learning for Constrained Optimization

Differentiable Constrained Imitation Learning for Robot Motion Planning
  and Control


Read trimming tool for Illumina NGS data.

Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis

WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil

Chromatin domain alterations linked to 3D genome organization in a large cohort of schizophrenia and bipolar disorder brains

Detection of Streptococcus pyogenes M1UK in Australia and characterization of the mutation driving enhanced expression of superantigen SpeA

Genomic Analysis of a Highly Virulent NDM-1-Producing Escherichia coli ST162 Infecting a Pygmy Sperm Whale (Kogia breviceps) in South America

MIG-seq is an effective method for high-throughput genotyping in wheat (Triticum spp.)

DNA research : an international journal for rapid publication of reports on genes and genomes

The complete mitochondrial genome of Cycas debaoensis revealed unexpected static evolution in gymnosperm species

Genomic Perspectives on Aeromonas salmonicida subsp. salmonicida Strain 890054 as a Model System for Pathogenicity Studies and Mitigation of Fish Infections

ITGA6+ Human Testicular Cell Populations Acquire a Mesenchymal Rather than Germ Cell Transcriptional Signature during Long-Term Culture

International journal of molecular sciences

Functional annotation of a divergent genome using sequence and structure-based homology


⚠[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

A Comprehensive Survey on Graph Neural Networks

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE transactions on intelligent transportation systems

A Comprehensive Survey on Traffic Prediction.

Graph Neural Networks for Intelligent Transportation Systems: A Survey


Compact Data Structures Library

Log(Graph): A Near-Optimal High-Performance Graph Representation

Grammar Compressed Sequences with Rank/Select Support

String Processing and Information Retrieval

A Framework of Dynamic Data Structures for String Processing

Parallel construction of wavelet trees on multicore architectures

Aggregated 2D range queries on clustered points

siEDM: An Efficient String Index and Search Algorithm for Edit Distance with Moves

Using Compressed Suffix-Arrays for a compact representation of temporal-graphs

Compressed Spaced Suffix Arrays

Improved Compressed String Dictionaries

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

A compact representation for trips over networks built on self-indexes


MGTBench: Benchmarking Machine-Generated Text Detection

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark


Pretrained GANs in PyTorch: StyleGAN2, BigGAN, BigBiGAN, SAGAN, SNGAN, SelfCondGAN, and more

Representation Topology Divergence: A Method for Comparing Neural Network Representations

DreamTeacher: Pretraining Image Backbones with Deep Generative Models


Promting Whisper for Audio-Visual Speech Recognition, Code-Switched Speech Recognition, and Zero-Shot Speech Translation

How2: A Large-scale Dataset for Multimodal Language Understanding

Prompting the Hidden Talent of Web-Scale Speech Models for Zero-Shot Task Generalization

ASCEND: A Spontaneous Chinese-English Dataset for Code-switching in Multi-turn Conversation

AVATAR: Unconstrained Audiovisual Speech Recognition


a simple map generator based on ROS

An Efficient B-Spline-Based Kinodynamic Replanning Framework for Quadrotors

Trajectory Replanning for Quadrotors Using Kinodynamic Search and Elastic Optimization

International Conference on Robotics and Automation

Robust Trajectory Planning for Spatial-Temporal Multi-Drone Coordination in Large Scenes


Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)

Block shuffling learning for Deepfake Detection


Real-World Masked Face Dataset，口罩人脸数据集

Masked Face Recognition Dataset and Application

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

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

Masked Face Recognition Datasets and Validation

International Conference on Computer Vision

Facial Recognition Technology in 2021: Masks, Bias, and the Future of Healthcare

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

Unconstrained face mask and face-hand interaction datasets: building a computer vision system to help prevent the transmission of COVID-19

Real-Time Monitoring of COVID-19 SOP in Public Gathering Using Deep Learning Technique


A Seismic Wave Propagation Code by Parallel Finite Difference Method

OpenSWPC: an open-source integrated parallel simulation code for modeling seismic wave propagation in 3D heterogeneous viscoelastic media

FDM Simulation of Seismic Waves, Ocean Acoustic Waves, and Tsunamis Based on Tsunami-Coupled Equations of Motion

Seismic- and Tsunami-Wave Propagation of the 2011 Off the Pacific Coast of Tohoku Earthquake as Inferred from the Tsunami-Coupled Finite-Difference Simulation

The bulletin of the Seismological Society of America/Bulletin of the Seismological Society of America

Theoretical basis of the amplitude source location method for volcano-seismic signals

Journal of geophysical research. Solid earth

Constraining the source location of the 30 May 2015 (Mw  7.9) Bonin deep-focus earthquake using seismogram envelopes of high-frequency P waveforms: Occurrence of deep-focus earthquake at the bottom of a subducting slab

Ocean-influenced Rayleigh waves from outer-rise earthquakes and their effects on durations of long-period ground motion

FDM Simulation of an Anomalous Later Phase from the Japan Trench Subduction Zone Earthquakes

Geometric effect on a laboratory-scale wavefield inferred from a three-dimensional numerical simulation

Reconstruction of a 2D seismic wavefield by seismic gradiometry

Scattering of teleseismic P-waves by the Japan Trench: A significant effect of reverberation in the seawater column


Repository for machine learning and remote sensing pipeline described in Kruitwagen, L., Story, K., Friedrich, J, et. al. (2019) , used to produce a global inventory of utility-scale solar photvoltaic generating stations.


ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models (ICCV 2021 Oral)

Diffusion Posterior Sampling for General Noisy Inverse Problems

Improving Diffusion Models for Inverse Problems using Manifold
  Constraints

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

DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction

Pyramidal Denoising Diffusion Probabilistic Models

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for
  Image Manipulation

Manifold Preserving Guided Diffusion

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

DOLPH: Diffusion Models for Phase Retrieval


Smartian: Enhancing Smart Contract Fuzzing with Static and Dynamic Data-Flow Analyses (ASE '21)

Turn the Rudder: A Beacon of Reentrancy Detection for Smart Contracts on Ethereum

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in
  DApp Projects

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


Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf

Unlabeled Data Improves Adversarial Robustness

Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples

Bag of Tricks for Adversarial Training

Adversarial Neuron Pruning Purifies Backdoored Deep Models

Relating Adversarially Robust Generalization to Flat Minima

Adversarial Robustness via Fisher-Rao Regularization

How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis

Improving Neural Network Robustness via Persistency of Excitation

Model-Agnostic Meta-Attack: Towards Reliable Evaluation of Adversarial
  Robustness

Improved Adversarial Training Through Adaptive Instance-wise Loss
  Smoothing


Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning

International Conference on Computational Linguistics

Reinforcement-based denoising of distantly supervised NER with partial annotation

Empirical Methods in Natural Language Processing


LasHeR: A Large-Scale High-Diversity Benchmark for RGBT Tracking

Tiny Object Tracking: A Large-scale Dataset and A Baseline

Thermal UAV Image Super-Resolution Guided by Multiple Visible Cues

IEEE transactions on geoscience and remote sensing

Category-Oriented Localization Distillation for SAR Object Detection and a Unified Benchmark


A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.

Learning a Deep Listwise Context Model for Ranking Refinement

International ACM SIGIR Conference on Research and Development in Information Retrieval

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

A Domain Generalization Perspective on Listwise Context Modeling


The released codes for ACL 2021 paper 'BoB: BERT Over BERT for Training Persona-based Dialogue Models from Limited Personalized Data'

Personalized Dialogue Generation with Diversified Traits

Large Language Models Meet Harry Potter: A Bilingual Dataset for
  Aligning Dialogue Agents with Characters

SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation


Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

Backdoor Attack against NLP models with Robustness-Aware Perturbation
  defense


SimGNN: A Neural Network Approach to Fast Graph Similarity Computation

Multilevel Graph Matching Networks for Deep Graph Similarity Learning

IEEE transactions on neural networks and learning systems

Conditional Graph Information Bottleneck for Molecular Relational
  Learning

Shift-Robust Molecular Relational Learning with Causal Substructure


Memory consumption and FLOP count estimates for convnets

Survey and Benchmarking of Machine Learning Accelerators

IEEE High Performance Extreme Computing Conference

Survey of Machine Learning Accelerators

Important Information for Micro-Generators - Utility Regulator

International Conference on Mobile Systems, Applications, and Services

AI Accelerator Survey and Trends

Compute and Energy Consumption Trends in Deep Learning Inference

An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge

A microstructural neural network biomarker for dystonia diagnosis identified by a DystoniaNet deep learning platform

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

Distilled Neural Networks for Efficient Learning to Rank

IEEE transactions on knowledge and data engineering

Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions

Meeting of the Association for Computational Linguistics

GECKO: Reconciling Privacy, Accuracy and Efficiency in Embedded Deep Learning


Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

Relating Adversarially Robust Generalization to Flat Minima

Self-Ensemble Adversarial Training for Improved Robustness

Adversarial Robustness with Semi-Infinite Constrained Learning

A Unified Wasserstein Distributional Robustness Framework for
  Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

SOAR: Second-Order Adversarial Regularization

Advancing Adversarial Training by Injecting Booster Signal

Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning

IEEE transactions on information forensics and security

One-vs-the-Rest Loss to Focus on Important Samples in Adversarial
  Training


Some code for processing and analysing UK Biobank cardiac MR images.

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

Automatic 3D bi-ventricular segmentation of cardiac images by a shape-refined multi-task deep learning approach

Deep-Learning Segmentation of Epicardial Adipose Tissue Using Four-Chamber Cardiac Magnetic Resonance Imaging

Deep learning for image segmentation: veritable or overhyped?


Dataset Batch(offline) Reinforcement Learning for recommender system

Continuous control with deep reinforcement learning

Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems

Off-Policy Deep Reinforcement Learning without Exploration

Top-K Off-Policy Correction for a REINFORCE Recommender System

Deep Reinforcement Learning for List-wise Recommendations


This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image.

Occupancy Networks: Learning 3D Reconstruction in Function Space

Learning joint reconstruction of hands and manipulated objects

Learning Gradient Fields for Shape Generation

Shape As Points: A Differentiable Poisson Solver

Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning

Domain-Adaptive Single-View 3D Reconstruction

Sketch2PQ: Freeform Planar Quadrilateral Mesh Design via a Single Sketch

ChartPointFlow for Topology-Aware 3D Point Cloud Generation


CBAM implementation on TensowFlow

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Aggregated Residual Transformations for Deep Neural Networks


Code for Multi-Head Attention: Collaborate Instead of Concatenate

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

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

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


Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images


EsViT: Efficient self-supervised Vision Transformers

CvT: Introducing Convolutions to Vision Transformers

Focal Attention for Long-Range Interactions in Vision Transformers

Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding

Efficient Self-supervised Vision Transformers for Representation Learning

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented
  Visual Models

Model Spider: Learning to Rank Pre-Trained Models Efficiently

A Survey on Self-Supervised Representation Learning


Code example for the ICLR 2018 oral paper

Training and Inference with Integers in Deep Neural Networks

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


Official Repository for "The Curious Case of Neural Text Degeneration"

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

MAUVE Scores for Generative Models: Theory and Practice

FACE: Evaluating Natural Language Generation with Fourier Analysis of
  Cross-Entropy


"Rethinking Graph Neural Networks for Anomaly Detection" in ICML 2022

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation


Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

Calibrated Model-Based Deep Reinforcement Learning

On-Policy Robot Imitation Learning from a Converging Supervisor

LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative Tasks

Extending Deep Model Predictive Control with Safety Augmented Value Estimation from Demonstrations.


NASBench: A Neural Architecture Search Dataset and Benchmark

NAS-Bench-101: Towards Reproducible Neural Architecture Search

D-VAE: A Variational Autoencoder for Directed Acyclic Graphs

How Powerful are Performance Predictors in Neural Architecture Search?

Does Unsupervised Architecture Representation Learning Help Neural
  Architecture Search?

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Neural Architecture Search Using Deep Neural Networks and Monte Carlo Tree Search

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.

Generic Neural Architecture Search via Regression


Repository for the One class neural networks paper

Anomaly Detection using One-Class Neural Networks

Robust, Deep and Inductive Anomaly Detection

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data


Point cloud diffusion for 3D model synthesis

Zero-1-to-3: Zero-shot One Image to 3D Object

Point-E: A System for Generating 3D Point Clouds from Complex Prompts

3DGen: Triplane Latent Diffusion for Textured Mesh Generation

Consistent-1-to-3: Consistent Image to 3D View Synthesis via
  Geometry-aware Diffusion Models

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors


train test labels for sunrgbd

SITA: Single Image Test-time Adaptation

Deep Learning for Scene Classification: A Survey

Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data


Fast multi-line FASTA/Q reader in several programming languages

Species Identification of Conyza bonariensis Assisted by Chloroplast Genome Sequencing

Whole-Genome Sequencing and Machine Learning Analysis of Staphylococcus aureus from Multiple Heterogeneous Sources in China Reveals Common Genetic Traits of Antimicrobial Resistance

Comparative genomics and association analysis identifies virulence genes of Cercospora sojina in soybean

Comparison of PCR versus PCR-Free DNA Library Preparation for Characterising the Human Faecal Virome

Draft Genome Sequences of Three Fusarium oxysporum f. sp. niveum Isolates Used in Designing Markers for Race Differentiation

Genome sequence and pathogenicity of Vibrio vulnificus strain MCCC 1A08743 isolated from contaminated prawns

Chloroplast genome of silverleaf nightshade (Solanum elaeagnifolium Cav.), a Weed of National Significance in Australia


Self-Instruct: Aligning Language Models with Self-Generated Instructions

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor

Chinese Open Instruction Generalist: A Preliminary Release


ACL 2022, SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models

SciMON: Scientific Inspiration Machines Optimized for Novelty

Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning

Model-Agnostic Bias Measurement in Link Prediction

Findings of the Association for Computational Linguistics: EACL 2023


Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

MUFFIN: Curating Multi-Faceted Instructions for Improving
  Instruction-Following


基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等

LoRA: Low-Rank Adaptation of Large Language Models

GPT Understands, Too

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks


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

The Kinetics Human Action Video Dataset

Local-Global Video-Text Interactions for Temporal Grounding

Audio-Visual Scene-Aware Dialog

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery

VideoMix: Rethinking Data Augmentation for Video Classification

Spatio-temporal Features for Generalized Detection of Deepfake Videos

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

Unsupervised Video Domain Adaptation for Action Recognition: A
  Disentanglement Perspective


One Million Scenes for Autonomous Driving: ONCE Dataset

CO^3: Cooperative Unsupervised 3D Representation Learning for Autonomous
  Driving


Deep Neural Network (DNN) which predicts face/non-face, landmarks, pose and gender simultaneously with Chainer.

HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition

Can Synthetic Faces Undo the Damage of Dataset Bias to Face Recognition and Facial Landmark Detection

Priming Deep Neural Networks with Synthetic Faces for Enhanced Performance


Kindling the Darkness: A Practical Low-light Image Enhancer

Beyond Brightening Low-light Images

International journal of computer vision

Low-Light Image and Video Enhancement Using Deep Learning: A Survey

Zero-Shot Restoration of Back-lit Images Using Deep Internal Learning

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement

Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Fast Enhancement for Non-Uniform Illumination Images using Light-weight CNNs

Low Light Video Enhancement using Synthetic Data Produced with an
  Intermediate Domain Mapping


MatConvNet and Caffe repo with compact bilinear and bilinear pooling functionality added

Compact Bilinear Pooling

Pairwise Confusion for Fine-Grained Visual Classification

Maximum-Entropy Fine-Grained Classification


中文医疗对话模型扁鹊(BianQue)

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

BianQue: Balancing the Questioning and Suggestion Ability of Health LLMs
  with Multi-turn Health Conversations Polished by ChatGPT

HouYi: An open-source large language model specially designed for
  renewable energy and carbon neutrality field


Performance Modeling of Streaming Kernels and Sparse Matrix-Vector Multiplication on A64FX

PROCEEDINGS OF 2020 IEEE/ACM PERFORMANCE MODELING, BENCHMARKING AND SIMULATION OF HIGH PERFORMANCE COMPUTER SYSTEMS (PMBS 2020)

102 PFLOPS lattice QCD quark solver on Fugaku

Grid on QPACE 4

Comparing OpenMP Implementations With Applications Across A64FX Platforms

Multigrid Solver on Fugaku

Wilson matrix kernel for lattice QCD on A64FX architecture

Proceedings of the HPC Asia 2023 Workshops


DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

A Survey of Deep Learning Techniques for Weed Detection from Images

Weed recognition using deep learning techniques on class-imbalanced imagery

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

Testing the Suitability of Automated Machine Learning for Weeds Identification

Multi-Class Weed Recognition Using Hybrid CNN-SVM Classifier

WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion


Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

Transfer learning from language models to image caption generators: Better models may not transfer better.

On Architectures for Including Visual Information in Neural Language
  Models for Image Description

How to choose "Good" Samples for Text Data Augmentation


骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Phoenix: Democratizing ChatGPT across Languages

Chinese Open Instruction Generalist: A Preliminary Release

Datasets for Large Language Models: A Comprehensive Survey


Official implementation of the Averaged Gradient Episodic Memory (A-GEM) in Tensorflow

Efficient Lifelong Learning with A-GEM

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

On Tiny Episodic Memories in Continual Learning

Class-incremental Learning via Deep Model Consolidation

Model Zoo: A Growing "Brain" That Learns Continually

Single-Net Continual Learning with Progressive Segmented Training (PST)

Online Prototype Learning for Online Continual Learning

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization

Efficient continual learning at the edge with progressive segmented training

TAME: Task Agnostic Continual Learning using Multiple Experts


Flexible simulation package for optical neural networks

Reprogrammable Electro-Optic Nonlinear Activation Functions for Optical Neural Networks

IEEE journal of selected topics in quantum electronics

Efficient training and design of photonic neural network through neuroevolution

Photonic-aware neural networks


Bayesian Program Learning model for one-shot learning

Spectroscopic characterization of isomerization transition states

One-shot Compositional Data Generation for Low Resource Handwritten Text Recognition

A Relational Model for One-Shot Classification


ICLR 2018 Quick-Thought vectors

Contrastive Learning with Hard Negative Samples

An efficient framework for learning sentence representations

Debiased Contrastive Learning

Hard Negative Sampling Strategies for Contrastive Representation
  Learning

A Comparative Study on Structural and Semantic Properties of Sentence Embeddings


This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space

Importance Weighted Adversarial Variational Autoencoders for Spike Inference from Calcium Imaging Data.


Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'

Manifold Mixup: Better Representations by Interpolating Hidden States

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Iterative label cleaning for transductive and semi-supervised few-shot learning

EASY: Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art
  Few-Shot Classification with Simple Ingredients

Improving Classification Accuracy with Graph Filtering


Context-adaptive Entropy Model for End-to-end Optimized Image Compression

Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement

Learning for Video Compression With Recurrent Auto-Encoder and Recurrent Probability Model

IEEE journal of selected topics in signal processing

Towards Adversarially Robust Deep Image Denoising

OpenDVC: An Open Source Implementation of the DVC Video Compression
  Method

Microdosing: Knowledge Distillation for GAN based Compression


Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]

Learning Loss for Active Learning

Improving Robustness and Efficiency in Active Learning with Contrastive Loss.

Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios


AltBeacon Technical Specification

COVID-SAFE: An IoT-Based System for Automated Health Monitoring and Surveillance in Post-Pandemic Life

IEEE access : practical innovations, open solutions

Microlocation for Smart Buildings in the Era of the Internet of Things: A Survey of Technologies, Techniques, and Approaches

BLE Beacons in the Smart City: Applications, Challenges, and Research Opportunities

Secure system based on UAV and BLE for improving SAR missions

Journal of ambient intelligence & humanized computing/Journal of ambient intelligence and humanized computing

On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach


[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate
  Time Series Data

Is It Worth It? Comparing Six Deep and Classical Methods for Unsupervised Anomaly Detection in Time Series

GTAD: Graph and Temporal Neural Network for Multivariate Time Series Anomaly Detection

LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding


The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

Score-based Generative Modeling in Latent Space

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

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based
  Models

MaGNET: Uniform Sampling from Deep Generative Network Manifolds Without Retraining.

The ArtBench Dataset: Benchmarking Generative Models with Artworks

Multiple Importance Sampling ELBO and Deep Ensembles of Variational
  Approximations

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve

Alleviating Adversarial Attacks on Variational Autoencoders with MCMC

Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks.


PyTorch implementation of Deformable ConvNets v2 (Modulated Deformable Convolution)

Deformable ConvNets v2: More Deformable, Better Results

Dual-Kernel-Based Aggregated Residual Network for Surface Defect Inspection in Injection Molding Processes

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation


Repository for the paper "Optimal Subarchitecture Extraction for BERT"

Optimal Subarchitecture Extraction For BERT

An Algorithm for Learning Smaller Representations of Models With Scarce Data.

An Approximation Algorithm for Optimal Subarchitecture Extraction


RoadTracer: Automatic Extraction of Road Networks from Aerial Images

Stagewise Unsupervised Domain Adaptation With Adversarial Self-Training for Road Segmentation of Remote-Sensing Images

Road Extraction with Satellite Images and Partial Road Maps


Deep Unknown Intent Detection with Margin Loss

Few-Shot Named Entity Recognition: A Comprehensive Study

Deep Cascade Multi-Task Learning for Slot Filling in Online Shopping Assistant

A post-processing method for detecting unknown intent of dialogue system via pre-trained deep neural network classifier

Example-Based Named Entity Recognition

Novel Slot Detection: A Benchmark for Discovering Unknown Slot Types in the Task-Oriented Dialogue System

Modeling with Recurrent Neural Networks for Open Vocabulary Slots

International Conference on Computational Linguistics

Multi-task learning to improve natural language understanding

Incremental processing of noisy user utterances in the spoken language understanding task

Parallel Intent and Slot Prediction using MLB Fusion


This project is a tensorflow implement of our work, CCM (Commonsense Conversational Model).

A Survey of Knowledge-enhanced Text Generation

Knowledge grounded medical dialogue generation using augmented graphs

Enhancing Dialogue Generation via Dynamic Graph Knowledge Aggregation


Multi Task RL Baselines

Multi-Task Reinforcement Learning with Context-based Representations

Learning Robust State Abstractions for Hidden-Parameter Block MDPs

Block Contextual MDPs for Continual Learning

PaCo: Parameter-Compositional Multi-Task Reinforcement Learning

Learning Action Translator for Meta Reinforcement Learning on Sparse-Reward Tasks


Adversarial Discriminative Domain Adaptation

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data


StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks

Generative Adversarial Text to Image Synthesis

Image Generation from Scene Graphs

Fashion-Gen: The Generative Fashion Dataset and Challenge

Generating Multiple Objects at Spatially Distinct Locations

Visual-Relation Conscious Image Generation from Structured-Text

FairyTailor: A Multimodal Generative Framework for Storytelling


GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

International Conference on Information and Knowledge Management

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

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

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks

News Session-Based Recommendations using Deep Neural Networks

PROCEEDINGS OF THE 3RD WORKSHOP ON DEEP LEARNING FOR RECOMMENDER SYSTEMS (DLRS)

Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions

A Brand-level Ranking System with the Customized Attention-GRU Model

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


Visualizations based on best open science practices.

Raincloud plots: a multi-platform tool for robust data visualization

A randomised, double-blind, sham-controlled trial of deep brain stimulation of the bed nucleus of the stria terminalis for treatment-resistant obsessive-compulsive disorder

Recognizing the Impact of COVID-19 on the Poor Alters Attitudes Towards Poverty and Inequality

Journal of experimental social psychology

Does sleep-dependent consolidation favour weak memories?

Cortex; a journal devoted to the study of the nervous system and behavior

Structuring time: The hippocampus constructs sequence memories that generalize temporal relations across experiences

Complexity and 1/f slope jointly reflect brain states

Longitudinal patterns of white matter fibre density and morphology in children are associated with age and pubertal stage

Anxiety-Related Frontocortical Activity Is Associated With Dampened Stressor Reactivity in the Real World

Testing the efficacy of three informational interventions for reducing misperceptions of the Black–White wealth gap

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

Proactive and reactive metacontrol in task switching


This repo contains code and a pre-trained model for clothes segmentation.

U2-Net: Going deeper with nested U-structure for salient object detection

Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing

USR: Unsupervised Separated 3D Garment and Human Reconstruction via
  Geometry and Semantic Consistency


The QMNIST dataset

Cold Case: The Lost MNIST Digits

Morpho-MNIST: Quantitative Assessment and Diagnostics for Representation Learning

AutoBayes: Automated Bayesian Graph Exploration for Nuisance- Robust Inference

Performing arithmetic using a neural network trained on images of digit permutation pairs

Journal of intelligent information systems


Implementation of PoseNet

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Modelling Uncertainty in Deep Learning for Camera Relocalization

Introduction to Camera Pose Estimation with Deep Learning

RPNet: an End-to-End Network for Relative Camera Pose Estimation


Collection of android malware samples

Android Malware Detection Using Autoencoder

Using Deep Neural Network for Android Malware Detection

Malware Detection and Classification Using Latent Semantic Indexing

Journal of advance college of engineering and management


Image2StyleGAN: How to Embed Images Into the StyleGAN Latent Space?

Interpreting the Latent Space of GANs for Semantic Face Editing

Image2StyleGAN++: How to Edit the Embedded Images?

Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving

Unconstrained Facial Expression Transfer using Style-based Generator


Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

A Survey of Deep Learning for Scientific Discovery

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

f-DM: A Multi-stage Diffusion Model via Progressive Signal
  Transformation

High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection.

PatchGame: Learning to Signal Mid-level Patches in Referential Games

Topological Neural Discrete Representation Learning à la Kohonen


Dream to Control: Learning Behaviors by Latent Imagination

Model-Based Visual Planning with Self-Supervised Functional Distances

Learning Representations for Pixel-based Control: What Matters and Why?

Learning to Plan Optimistically: Uncertainty-Guided Deep Exploration via Latent Model Ensembles

Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning

Dynamic Horizon Value Estimation for Model-based Reinforcement Learning


ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.

ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network With IP Protection for Internet of Things

On-Device Learning with Binary Neural Networks


Deep BSDE solver in TensorFlow

Solving high-dimensional partial differential equations using deep learning

Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations

Communications in mathematics and statistics

A fully nonlinear Feynman–Kac formula with derivatives of arbitrary orders

A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations


Multi-object image datasets with ground-truth segmentation masks and generative factors.

MONet: Unsupervised Scene Decomposition and Representation

ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation

Learning Object-Centric Video Models by Contrasting Sets

Autoencoder-based background reconstruction and foreground segmentation with background noise estimation

Robust and Controllable Object-Centric Learning through Energy-based
  Models

Differentiable Mathematical Programming for Object-Centric
  Representation Learning

Towards Improving the Generation Quality of Autoregressive Slot VAEs

TUSK: Task-Agnostic Unsupervised Keypoints

Exploring the Role of the Bottleneck in Slot-Based Models Through
  Covariance Regularization


Multi-Modal Transformer for Video Retrieval

Multi-modal Transformer for Video Retrieval

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

Exposing the Limits of Video-Text Models through Contrast Sets

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

What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID


Tensorflow implementation for prodLDA and NVLDA.

Autoencoding Variational Inference For Topic Models

ATM: Adversarial-neural Topic Model

Auto-Encoding Variational Bayes for Inferring Topics and Visualization


Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019

Conditional Sig-Wasserstein GANs for Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

TimeVAE: A Variational Auto-Encoder for Multivariate Time Series
  Generation

Manifold Topology Divergence: a Framework for Comparing Data Manifolds

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

Time-series Generation by Contrastive Imitation

Time Series Generation with Masked Autoencoder

GT-GAN: General Purpose Time Series Synthesis with Generative
  Adversarial Networks

EHR-Safe: generating high-fidelity and privacy-preserving synthetic electronic health records

Generating multivariate time series with COmmon Source CoordInated GAN
  (COSCI-GAN)


code for "Residual Flows for Invertible Generative Modeling".

Invertible Residual Networks

Understanding and mitigating exploding inverses in invertible neural networks

Exposing flaws of generative model evaluation metrics and their unfair
  treatment of diffusion models

Out-of-Distribution Detection with Distance Guarantee in Deep Generative Models

ELF: Exact-Lipschitz Based Universal Density Approximator Flow


Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Generalisation in humans and deep neural networks

Measuring Robustness to Natural Distribution Shifts in Image Classification

Improving robustness against common corruptions by covariate shift adaptation

The Origins and Prevalence of Texture Bias in Convolutional Neural Networks

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Discrete Representations Strengthen Vision Transformer Robustness

Deep learning models fail to capture the configural nature of human shape perception

Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with INNs

The shape and simplicity biases of adversarially robust ImageNet-trained
  CNNs


Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Training Generative Adversarial Networks with Limited Data

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Image color correction, enhancement, and editing


A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (IJCAI 2019)

Phrase-Based & Neural Unsupervised Machine Translation

NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer

Learning Implicit Text Generation via Feature Matching

Adapter-TST: A Parameter Efficient Method for Multiple-Attribute Text Style Transfer


Enhanced LTSM for natural language inference

Enhanced LSTM for Natural Language Inference

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Neural Natural Language Inference Models Enhanced with External Knowledge

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Social Link Inference via Multiview Matching Network From Spatiotemporal Trajectories

What If We Simply Swap the Two Text Fragments? A Straightforward yet Effective Way to Test the Robustness of Methods to Confounding Signals in Nature Language Inference Tasks

Several Experiments on Investigating Pretraining and Knowledge-Enhanced
  Models for Natural Language Inference

When data permutations are pathological: the case of neural natural language inference

Empirical Methods in Natural Language Processing

Soft Label Memorization-Generalization for Natural Language Inference

Generating Contradictory, Neutral, and Entailing Sentences


The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Matching Networks for One Shot Learning

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks


Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

R-Drop: Regularized Dropout for Neural Networks

Token Shift Transformer for Video Classification

Reveal of Vision Transformers Robustness against Adversarial Attacks

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Vision Transformer Hashing for Image Retrieval

Energon: Toward Efficient Acceleration of Transformers Using Dynamic Sparse Attention

Understanding Why ViT Trains Badly on Small Datasets: An Intuitive
  Perspective

Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification


Resources for the "Evaluating the Factual Consistency of Abstractive Text Summarization" paper

GSum: A General Framework for Guided Neural Abstractive Summarization

QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Improving Factual Consistency of Abstractive Summarization via Question Answering

Human-like Summarization Evaluation with ChatGPT

Noisy Self-Knowledge Distillation for Text Summarization

FFCI: A Framework for Interpretable Automatic Evaluation of Summarization

Rome was built in 1776: A Case Study on Factual Correctness in
  Knowledge-Grounded Response Generation

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems

Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization

Findings of the Association for Computational Linguistics: EMNLP 2021


[ECCV-2020 (spotlight)] Self-supervising Fine-grained Region Similarities for Large-scale Image Localization.  PyTorch open-source toolbox for image-based localization (place recognition).

NetVLAD: CNN architecture for weakly supervised place recognition

Stochastic Attraction-Repulsion Embedding for Large Scale Image Localization

Rethinking Visual Geo-localization for Large-Scale Applications

StructVPR: Distill Structural Knowledge with Weighting Samples for Visual Place Recognition

Towards Seamless Adaptation of Pre-trained Models for Visual Place
  Recognition

CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition


Code for L4DC 2022 paper: Joint Synthesis of Safety Certificate and Safe Control Policy Using Constrained Reinforcement Learning.

Joint Synthesis of Safety Certificate and Safe Control Policy using
  Constrained Reinforcement Learning

Feasible Actor-Critic: Constrained Reinforcement Learning for Ensuring
  Statewise Safety

Reachability Constrained Reinforcement Learning

Mixed Policy Gradient.

Learn Zero-Constraint-Violation Policy in Model-Free Constrained
  Reinforcement Learning


An ERA5-based hourly global pressure, temperature, and relative humidity model

An ERA5-Based Hourly Global Pressure and Temperature (HGPT) Model

HGPT2: An ERA5-Based Global Model to Estimate Relative Humidity

Weighted Mean Temperature Hybrid Models in China Based on Artificial Neural Network Methods


identify potential non-animal transcripts in animal transcriptomes

Do novel genes drive morphological novelty? An investigation of the nematosomes in the sea anemone Nematostella vectensis

Alienness: Rapid Detection of Candidate Horizontal Gene Transfers across the Tree of Life

Integrating Embryonic Development and Evolutionary History to Characterize Tentacle-Specific Cell Types in a Ctenophore

Horizontally transferred genes in the ctenophore Mnemiopsis leidyi

Recruitment of toxin-like proteins with ancestral venom function supports endoparasitic lifestyles of Myxozoa

A cnidarian phylogenomic tree fitted with hundreds of 18S leaves

A chromosome-level genome for the nudibranch gastropod Berghia stephanieae helps parse clade-specific gene expression in novel and conserved phenotypes.

bioRxiv : the preprint server for biology

Regeneration of Planarian Auricles and Reestablishment of Chemotactic Ability

Frontiers in cell and developmental biology


Code for "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation"

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

Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes


Scikit-style multiparameter persistent homology.

Efficient Approximation of Multiparameter Persistence Modules

Stable Vectorization of Multiparameter Persistent Homology using Signed Barcodes as Measures

Euler Characteristic Tools For Topological Data Analysis

A Framework for Fast and Stable Representations of Multiparameter
  Persistent Homology Decompositions


Sparse evolutionary deep learning with over one million artificial neurons on commodity hardware

An MPI-Based Python Framework for Distributed Training with Keras

Truly Sparse Neural Networks at Scale


A set of instruments to design the sustainability-quality concerns at the software architecture level, and define and operationalize them

Characterizing the contribution of quality requirements to software sustainability

Journal of systems and software/The Journal of systems and software

Architecture Design Decision Maps for Software Sustainability

International Conference on Software Engineering

An Action Research for Improving the Sustainability Assessment Framework Instruments

Towards a Software Sustainability-Quality Model: Insights from a Multi-Case Study

Research Challenges in Information Science

Sustainability in Software Architecture: A Systematic Mapping Study

Sustainability Competencies and Skills in Software Engineering: An
  Industry Perspective


The repository of the course "Machine Learning in Drug Design" at the Jagiellonian University, Kraków, Poland. The page is hosted by the machine learning research group GMUM.

Graph Attention Networks

How Powerful are Graph Neural Networks?

Molecule Attention Transformer


Intratumor Heterogeneity and Branched Evolution Revealed by Multiregion Sequencing

Inferring tumour purity and stromal and immune cell admixture from expression data

Clonal evolution in cancer

Tumour evolution inferred by single-cell sequencing

Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future

Absolute quantification of somatic DNA alterations in human cancer

The evolutionary history of lethal metastatic prostate cancer

Universal Patterns of Selection in Cancer and Somatic Tissues

Biological and Therapeutic Impact of Intratumor Heterogeneity in Cancer Evolution

Tumor cells can follow distinct evolutionary paths to become resistant to epidermal growth factor receptor inhibition


Diagnosis of corona virus using Chest X-ray and CT-scan through deep learning

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Deep learning based diagnosis of COVID-19 using chest CT-scan images

IEEE International Multitopic Conference

IHDS: Intelligent Harvesting Decision System for Date Fruit Based on Maturity Stage Using Deep Learning and Computer Vision


hugs: A low-surface-brightness galaxy detection pipeline

Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey

Deep, wide lensing surveys can measure the dark matter halos of dwarf galaxies

Beyond Ultra-diffuse Galaxies. I. Mass--Size Outliers among the
  Satellites of Milky Way Analogs


Transformation of multi-loop Feynman integrals to a canonical basis

Algorithmic transformation of multi-loop master integrals to a canonical basis with CANONICA

HepLib: A C++ library for high energy physics

Algorithmic transformation of multi-loop Feynman integrals to a
  canonical basis


An Online Algorithm for Constrained Face Clustering in Videos

International Conference on Information Photonics

Dynamic Character Graph via Online Face Clustering for Movie Analysis


Unfolding energy spectra of double-periodicity two-dimensional systems: Twisted bilayer graphene and MoS 2 on graphene

Order-N orbital-free density-functional calculations with machine
  learning of functional derivatives for semiconductors and metals

Structural stability and energy levels of carbon-related defects in amorphous SiO2 and its interface with SiC

Microscopic Mechanisms of Initial Formation Process of Graphene on SiC(0001) Surfaces: Selective Si Desorption from Step Edges

A precaution for the hybrid density functional calculation of open-shell systems

Analysis of single and composite structural defects in pure amorphous silicon: A first-principles study

First-Principles Prediction of Densities of Amorphous Materials: The Case of Amorphous Silicon

Journal of the Physical Society of Japan

Mechanisms of initial oxidation of 4H-SiC (0001) and (0001̅)
  surfaces unraveled by first-principles calculations


Atmospheric Retrieval Codes for Exoplanets

Identification of carbon dioxide in an exoplanet atmosphere

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

A comparison of exoplanet spectroscopic retrieval tools

Monthly notices of the Royal Astronomical Society

EXOPLINES: Molecular Absorption Cross-section Database for Brown Dwarf and Giant Exoplanet Atmospheres

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

The Detectability and Constraints of Biosignature Gases in the Near- and Mid-infrared from Transit Transmission Spectroscopy

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

How does thermal scattering shape the infrared spectra of cloudy exoplanets? A theoretical framework and consequences for atmospheric retrievals in the JWST era

Constraining Mornings and Evenings on Distant Worlds: A new Semianalytical Approach and Prospects with Transmission Spectroscopy

Impact of variable photospheric radius on exoplanet atmospheric retrievals

Monthly Notices of the Royal Astronomical Society: Letters


PROUD is an open-source high-throughput distributed outlier detection engine for intense data streams that is implemented in Scala on top of the Apache Flink framework.

Continuous Outlier Mining of Streaming Data in Flink

PROUD: PaRallel OUtlier Detection for Streams

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Multi-parameter streaming outlier detection


Inductive Representation Learning on Temporal Graphs

Self-attention with Functional Time Representation Learning

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

A Temporal Kernel Approach for Deep Learning with Continuous-time Information

TempME: Towards the Explainability of Temporal Graph Neural Networks via
  Motif Discovery


Adversarial Black box Explainer generating Latent Exemplars

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Explaining Image Classifiers Generating Exemplars and Counter-Exemplars from Latent Representations

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Contextualizing Support Vector Machine Predictions

The International journal of computational intelligence systems/International journal of computational intelligence systems


A small reinforcement learning library for my masters dissertation project

Proximal Policy Optimization Algorithms

Exploration by Random Network Distillation

Dealing with Sparse Rewards in Reinforcement Learning


National Electricity Market Emissions Data Tool


Quantitative analysis of cell motility behaviors

Aging induces aberrant state transition kinetics in murine muscle stem cells

Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance

Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction

Assessing and enhancing migration of human myogenic progenitors using directed iPS cell differentiation and advanced tissue modelling


PyTorch implementation of VoxResNet, Attention U-Net and V-Net

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Attention U-Net: Learning Where to Look for the Pancreas

VoxResNet: Deep Voxelwise Residual Networks for Volumetric Brain Segmentation


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

Addressing Function Approximation Error in Actor-Critic Methods

Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

Learning Interpretable, High-Performing Policies for Autonomous Driving


The ATES hydrodynamics code computes the temperature, density, velocity and ionization fraction profiles of highly irradiated planetary atmospheres, along with the current, steady-state mass loss rate. ATES solves the one-dimensional Euler, mass and energy conservation equations in radial coordinates through a finite-volume scheme. The hydrodynamics module is paired with a photoionization equilibrium solver that includes cooling via bremsstrahlung, recombination and collisional excitation/ionization for the case of an atmosphere of primordial composition (i.e., pure atomic hydrogen-helium), while also accounting for advection of the different ion species.

Irradiation-driven escape of primordial planetary atmospheres I. The ATES photoionization hydrodynamics code


Using filter banks in Convolutional Neural Networks for texture classification

Convolutional neural network on three orthogonal planes for dynamic texture classification

Nonnegative OPLS for Supervised Design of Filter Banks: Application to Image and Audio Feature Extraction


Decoupled Weight Decay Regularization

Cyclical Learning Rates for Training Neural Networks

A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay

Efficient Neural Audio Synthesis

End-to-end music source separation: is it possible in the waveform domain?


Tools for manipulating (exporting, extracting) AgERA5 data


An innovative GWAS procedure for studies on germplasm population and plant breeding

Genome-Wide Association and Genomic Prediction for Stripe Rust Resistance in Synthetic-Derived Wheats

Evolutionary Variation of Accumulative Day Length and Accumulative Active Temperature Required for Growth Periods in Global Soybeans


Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning

Distributionally Adaptive Meta Reinforcement Learning


computational tools for the spectroscopic analysis of white dwarfs

Improved Constraints on the Initial-to-final Mass Relation of White Dwarfs Using Wide Binaries

A Gravitational Redshift Measurement of the White Dwarf Mass-Radius Relation

Computational tools for the spectroscopic analysis of white dwarfs

Monthly Notices of the Royal Astronomical Society

WDPhotTools -- A White Dwarf Photometric Toolkit in Python


propositional satisfiability problem (SAT) goes neural and deep

Graph Attention Networks

PDP: A General Neural Framework for Learning Constraint Satisfaction
  Solvers

Transformer-based Machine Learning for Fast SAT Solvers and Logic Synthesis


Creative Commons Attribution 4.0 International

Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!


Implementations of Deep RL Algorithms in OpenAI Gym Environments

Continuous control with deep reinforcement learning

Deep Reinforcement Learning with Double Q-learning

Policies Modulating Trajectory Generators


NewsQA: A Machine Comprehension Dataset

Learning to Ask: Neural Question Generation for Reading Comprehension

Neural Question Generation from Text: A Preliminary Study

Diversify Question Generation with Retrieval-Augmented Style Transfer


Dataset of Pathloss and ToA Radio Maps With Localization Application

Real-time Outdoor Localization Using Radio Maps: A Deep Learning
  Approach

LocUNet: Fast Urban Positioning Using Radio Maps and Deep Learning