Official code for "Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching" (ICML 2022)

Maximum Likelihood Training of Score-Based Diffusion Models

FP-Diffusion: Improving Score-based Diffusion Models by Enforcing the
  Underlying Score Fokker-Planck Equation


Regression with Summary Statistics.

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Bayesian large-scale multiple regression with summary statistics from genome-wide association studies

Large-scale genome-wide enrichment analyses identify new trait-associated genes and pathways across 31 human phenotypes

Modeling regulatory network topology improves genome-wide analyses of complex human traits

A large-scale genome-wide enrichment analysis identifies new trait-associated genes, pathways and tissues across 31 human phenotypes*

Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries


Exploring Japanese SimCSE

A large annotated corpus for learning natural language inference

A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Japanese SimCSE Technical Report


Code for SPINE - Sparse Interpretable Neural Embeddings. Jhamtani H.*,  Pruthi D.*, Subramanian A.*, Berg-Kirkpatrick T., Hovy E. AAAI 2018

Sparse Overcomplete Word Vector Representations

SPINE: SParse Interpretable Neural Embeddings

Word2Sense: Sparse Interpretable Word Embeddings

Meeting of the Association for Computational Linguistics

The POLAR Framework: Polar Opposites Enable Interpretability of Pre-Trained Word Embeddings

Lifelong Learning of Topics and Domain-Specific Word Embeddings

AUTOLEX: An Automatic Framework for Linguistic Exploration

Plongements Interprétables pour la Détection de Biais Cachés (Interpretable Embeddings for Hidden Biases Detection)

DINE: Dimensional Interpretability of Node Embeddings


BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model [ACL-BioNLP 2022]

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


Official Implementation of Mockingjay in Pytorch

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

Representation Learning with Contrastive Predictive Coding

An Unsupervised Autoregressive Model for Speech Representation Learning

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

International Conference on Acoustics, Speech, and Signal Processing


My master's dissertation on wind turbine fault prediction using machine learning


Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

musicnn: Pre-trained convolutional neural networks for music audio tagging

Learning Audio Embeddings with User Listening Data for Content-based
  Music Recommendation

Analysis of Feature Representations for Anomalous Sound Detection

International Conference on Agents and Artificial Intelligence

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Mood Classification Using Listening Data

Towards Musically Meaningful Explanations Using Source Separation

Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos


Lane detection with PaddlePaddle. PPLanedet contains many SOTA methods, e.g. CondLaneNet, SCNN, RESA, RTFormer,UFLD

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Ultra Fast Structure-aware Deep Lane Detection

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection

End-to-End Lane detection with One-to-Several Transformer


A package to annotate protein sequences

Fast and sensitive protein alignment using DIAMOND

Database resources of the National Center for Biotechnology Information

eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses

CDD/SPARCLE: the conserved domain database in 2020

KofamKOALA: KEGG Ortholog assignment based on profile HMM and adaptive score threshold

The Transporter Classification Database (TCDB): 2021 update

Mantis: flexible and consensus-driven genome annotation

Unification of functional annotation descriptions using text mining


Plug-and-play hydra sweepers for the EA-based multifidelity method DEHB and several population-based training variations, all proven to efficiently tune RL hyperparameters.

Provably Efficient Online Hyperparameter Optimization with Population-Based Bandits

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

Bayesian Generational Population-Based Training

Hyperparameters in Reinforcement Learning and How To Tune Them


Deeper, Broader and Artier Domain Generalization

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Domain Generalization for Object Recognition with Multi-task Autoencoders

Towards Principled Disentanglement for Domain Generalization


source code of our paper presents in EMNLP 2019. https://www.aclweb.org/anthology/D19-1345/

Text Level Graph Neural Network for Text Classification

Constrained Adaptive Projection with Pretrained Features for Anomaly Detection

Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?


QIR specification defining how to represent quantum programs within the LLVM IR

Q# as a Quantum Algorithmic Language

Integration of Quantum Accelerators with High Performance Computing -- A
  Review of Quantum Programming Tools


MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search

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

Improving LaCAM for Scalable Eventually Optimal Multi-Agent Pathfinding

Tracking Progress in Multi-Agent Path Finding


piRNA pipeline collection developed in the Zamore Lab and ZLab in UMass Med School

Comparative Principles of DNA Methylation Reprogramming during Human and Mouse In Vitro Primordial Germ Cell Specification

piRNA-mediated regulation of transposon alternative splicing in the soma and germ line

The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility

An endosiRNA-Based Repression Mechanism Counteracts Transposon Activation during Global DNA Demethylation in Embryonic Stem Cells

Large Drosophila germline piRNA clusters are evolutionarily labile and dispensable for transposon regulation

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


This repository contains the main baselines introduced in WSSTG (ACL 2019).

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

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

Finding Action Tubes

Weakly-Supervised Spatio-Temporally Grounding Natural Sentence in Video


PyTorch re-implementation of DeepLab v2 on COCO-Stuff / PASCAL VOC datasets

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

COCO-Stuff: Thing and Stuff Classes in Context

Contrastive Learning for Unpaired Image-to-Image Translation

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds

Reducing Information Bottleneck for Weakly Supervised Semantic Segmentation

Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation

CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation


Cenote-Taker2: Discover and Annotate Divergent Viral Contigs (Please use Cenote-Taker 3 instead)

A catalog of tens of thousands of viruses from human metagenomes reveals hidden associations with chronic diseases

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

Cenote-Taker 2 democratizes virus discovery and sequence annotation

Prokaryotic and Viral Community Composition of Freshwater Springs in Florida, USA

Evidence for virus-mediated oncogenesis in bladder cancers arising in solid organ transplant recipients


Gene prediction software

A chromosome-scale assembly of the sorghum genome using nanopore sequencing and optical mapping

Genetic basis of high aroma and stress tolerance in the oolong tea cultivar genome

Genomic insights into neonicotinoid sensitivity in the solitary bee Osmia bicornis

Chromosome-scale genome assembly provides insights into the evolution and flavor synthesis of passion fruit (Passiflora edulis Sims)

Structural and Functional Annotation of Eukaryotic Genomes with GenSAS

Methods in molecular biology (Clifton, N.J.)

Twelve quick steps for genome assembly and annotation in the classroom

The reference genome of Miscanthus floridulus illuminates the evolution of Saccharinae

Integrated multi‐omic data and analyses reveal the pathways underlying key ornamental traits in carnation flowers

The draft genome sequence of an upland wild rice species, Oryza granulata

A high-quality genome assembly and annotation of Quercus acutissima Carruth


Very fast greedy diffeomorphic registration code

The University of Pennsylvania glioblastoma (UPenn-GBM) cohort: advanced MRI, clinical, genomics, & radiomics

The Brain Tumor Sequence Registration Challenge: Establishing
  Correspondence between Pre-Operative and Follow-up MRI scans of diffuse
  glioma patients

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Direct and specific assessment of axonal injury and spinal cord microenvironments using diffusion correlation imaging

Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model

Accurate and Robust Alignment of Variable-stained Histologic Images
  Using a General-purpose Greedy Diffeomorphic Registration Tool

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration

iEEG-recon: A Fast and Scalable Pipeline for Accurate Reconstruction of Intracranial Electrodes and Implantable Devices.

medRxiv : the preprint server for health sciences

Clinically Deployed Computational Assessment of Multiple Sclerosis Lesions


Dual Encoders for State-of-the-art Natural Language Processing.

ConveRT: Efficient and Accurate Conversational Representations from Transformers

NLU++: A Multi-Label, Slot-Rich, Generalisable Dataset for Natural Language Understanding in Task-Oriented Dialogue

Representation Learning for Conversational Data using Discourse Mutual Information Maximization

Context Matters in Semantically Controlled Language Generation for Task-oriented Dialogue Systems


Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)

Developmental trajectories of cortical thickness by functional brain network: The roles of pubertal timing and socioeconomic status

Causally informed activity flow models provide mechanistic insight into network-generated cognitive activations

Protocol for activity flow mapping of neurocognitive computations using the Brain Activity Flow Toolbox


The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Explanations from Large Language Models Make Small Reasoners Better

Better Zero-Shot Reasoning with Self-Adaptive Prompting

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

Mixed Distillation Helps Smaller Language Model Better Reasoning

Small Language Model Can Self-correct


A method for circular DNA detection based on probabilistic mapping of ultrashort reads

Sensitive detection of circular DNAs at single-nucleotide resolution using guided realignment of partially aligned reads

Circle‐Seq reveals genomic and disease‐specific hallmarks in urinary cell‐free extrachromosomal circular DNAs

Replicative aging is associated with loss of genetic heterogeneity from extrachromosomal circular DNA in Saccharomyces cerevisiae

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

International journal of molecular sciences

EccDNA-oriented ITGB7 expression in breast cancer

Plasma extrachromosomal circular DNA is a pathophysiological hallmark of short-term intensive insulin therapy for type 2 diabetes

Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction


About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!

LoRA: Low-Rank Adaptation of Large Language Models

Are NLP Models really able to Solve Simple Math Word Problems?

Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization


Poisson pseudo-likelihood regression with multiple levels of fixed effects

ppmlhdfe: Fast Poisson Estimation with High-Dimensional Fixed Effects

Verifying the existence of maximum likelihood estimates for generalized linear models


pytorch implementation for Contrastive Adaptation Network

Contrastive Adaptation Network for Unsupervised Domain Adaptation

Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering

Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation


GloDyNE: Global Topology Preserving Dynamic Network Embedding (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9302718

IEEE transactions on knowledge and data engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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

Robust Dynamic Network Embedding via Ensembles


Code for Class Anchor Clustering loss for training a distance-based open set classifier

Class Anchor Clustering: a Loss for Distance-based Open Set Recognition

Zero-Shot Out-of-Distribution Detection Based on the Pre-trained Model CLIP

Open-set Recognition via Augmentation-based Similarity Learning


A Keras port of Single Shot MultiBox Detector

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

CNN Based Detectors on Planetary Environments: A Performance Evaluation

Using Convolutional Neural Networks for Determining Reticulocyte Percentage in Cats

A Novel Inspection System For Variable Data Printing Using Deep Learning

SSD7-FFAM: A Real-Time Object Detection Network Friendly to Embedded Devices from Scratch

Open Source Assessment of Deep Learning Visual Object Detection


Cleaned up version of the PlotMachines code

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking

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


Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles

Computer-aided civil and infrastructure engineering

Graph Neural Networks in IoT: A Survey

Influenza-like symptom recognition using mobile sensing and graph neural networks

Proceedings of the Conference on Health, Inference, and Learning

Using Graph Representation Learning to Predict Salivary Cortisol Levels in Pancreatic Cancer Patients

Journal of healthcare informatics research

Graph Powered Machine Learning in Smart Sensor Networks


Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

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

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security

Private Set Generation with Discriminative Information


[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Evasion and Hardening of Tree Ensemble Classifiers

Robustness Verification of Tree-based Models

An Efficient Adversarial Attack for Tree Ensembles

Connecting Interpretability and Robustness in Decision Trees through Separation


Fréchet ChemNet Distance: A quality measure for generative models for molecules

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Fréchet ChemNet Distance: A metric for generative models for molecules
  in drug discovery

Generating Customized Compound Libraries for Drug Discovery with Machine Intelligence


Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?

A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features.

Next-Generation Neural Networks: Capsule Networks With Routing-by-Agreement for Text Classification

Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection

Catching Attention with Automatic Pull Quote Selection


A real-time capable exploration and inspection path planner (next best view planning)

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots

Semantics-aware Exploration and Inspection Path Planning

Realizing the Aerial Robotic Worker for Inspection Operations.

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping
  Applications using Aerial Robots


A simple PyTorch implementation of influence functions.

Understanding Black-box Predictions via Influence Functions

Second-Order Stochastic Optimization for Machine Learning in Linear Time

If Influence Functions are the Answer, Then What is the Question?

TRAK: Attributing Model Behavior at Scale


Measure the readability of a given text using surface characteristics

Alejandro Mosquera at SemEval-2021 Task 1: Exploring Sentence and Word Features for Lexical Complexity Prediction

MementoEmbed and Raintale for Web Archive Storytelling


Likelihood Training of Schrödinger Bridge using FBSDEs Theory, ICLR 2022

Likelihood Training of Schrödinger Bridge using Forward-Backward SDEs Theory

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for
  Population Dynamics


DGN Code

CoLight: Learning Network-level Cooperation for Traffic Signal Control

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

Graph Convolutional Reinforcement Learning

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Reinforcement Learning on Graphs: A Survey


DDPO for finetuning diffusion models, implemented in PyTorch with LoRA support

Training Diffusion Models with Reinforcement Learning

Directly Fine-Tuning Diffusion Models on Differentiable Rewards


[IROS 2021] BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration


SmartTrack: efficient predictive race detection

Programming Language Design and Implementation

Atomicity Checking in Linear Time using Vector Clocks

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

Dependence-Aware, Unbounded Sound Predictive Race Detection

Online Set-Based Dynamic Analysis for Sound Predictive Race Detection.

Predicting All Data Race Pairs for a Specific Schedule (extended version)


PyTorch implementation of Self-supervised Contrastive Regularization for DG (SelfReg) [ICCV2021]

Self-Challenging Improves Cross-Domain Generalization

SelfReg: Self-supervised Contrastive Regularization for Domain Generalization


Multi-level visualization of genomic statistical variables on rectangular chromosomes

Frequent germplasm exchanges drive the high genetic diversity of Chinese-cultivated common apricot germplasm

The chromosome-scale genome of the raccoon dog: Insights into its evolutionary characteristics

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

Redefining Populations of Inference for Generalizations from Small Studies

Novel Heredity Basis of the Four-Horn Phenotype in Sheep Using Genome-Wide Sequence Data

Animals : an open access journal from MDPI


MoEL: Mixture of Empathetic Listeners

MoEL: Mixture of Empathetic Listeners

EmpHi: Generating Empathetic Responses with Human-like Intents

Emp-RFT: Empathetic Response Generation via Recognizing Feature Transitions between Utterances

CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation

Think Twice: A Human-like Two-stage Conversational Agent for Emotional
  Response Generation

Harnessing the Power of Large Language Models for Empathetic Response Generation: Empirical Investigations and Improvements


CUDA Matrix Factorization Library with Stochastic Gradient Descent (SGD)

GraphR: Accelerating Graph Processing Using ReRAM

CuMF_SGD: Fast and Scalable Matrix Factorization

Efficient Matrix Factorization on Heterogeneous CPU-GPU Systems


Performs the Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) method.

The MR-Base platform supports systematic causal inference across the human phenome

Guidelines for performing Mendelian randomization investigations: update for summer 2023

Recent Developments in Mendelian Randomization Studies

Mendelian randomization accounting for correlated and uncorrelated pleiotropic effects using genome-wide summary statistics

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Testing and controlling for horizontal pleiotropy with probabilistic Mendelian randomization in transcriptome-wide association studies

Gut Microbiota and Psychiatric Disorders: A Two-Sample Mendelian Randomization Study

Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption

Assessment of Causal Direction Between Gut Microbiota and Inflammatory Bowel Disease: A Mendelian Randomization Analysis

The causal relationship between gastro-oesophageal reflux disease and idiopathic pulmonary fibrosis: a bidirectional two-sample Mendelian randomisation study


Excess mortality during COVID-19 pandemic

Tracking excess mortality across countries during the COVID-19 pandemic with the World Mortality Dataset

The rise and spread of the SARS-CoV-2 AY.122 lineage in Russia

A Spatial Analysis of COVID-19 in African Countries: Evaluating the Effects of Socio-Economic Vulnerabilities and Neighbouring

International journal of environmental research and public health


Collaborative Evolutionary Reinforcement Learning

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared
  State Representation and Individual Policy Representation


A python pipeline to identify IS (Insertion Sequence) elements in genome and metagenome

ISEScan: automated identification of insertion sequence elements in prokaryotic genomes

Survey and Sequence Characterization of Bovine Mastitis-Associated Escherichia coli in Dairy Herds

Escherichia ruysiae May Serve as a Reservoir of Antibiotic Resistance Genes across Multiple Settings and Regions


Data and Code on Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems (SIGIR 2018)

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots

International ACM SIGIR Conference on Research and Development in Information Retrieval

Introducing MANtIS: a novel Multi-Domain Information Seeking Dialogues Dataset


Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions

Training Agents using Upside-Down Reinforcement Learning

Simplifying Deep Reinforcement Learning via Self-Supervision


Gradient based receptive field estimation for Convolutional Neural Networks

MS-RNN: A Flexible Multi-Scale Framework for Spatiotemporal Predictive
  Learning

Is the U-Net Directional-Relationship Aware?

Log-Polar Space Convolution for Convolutional Neural Networks

Weak signal extraction enabled by deep neural network denoising of diffraction data


Descriptor Vector Exchange

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

On Equivariant and Invariant Learning of Object Landmark Representations

Unsupervised Discovery of Object Landmarks via Contrastive Learning


100+ Chinese Word Vectors 上百种预训练中文词向量

Analogical Reasoning on Chinese Morphological and Semantic Relations

OCNLI: Original Chinese Natural Language Inference

A general approach for improving deep learning-based medical relation extraction using a pre-trained model and fine-tuning

Database : the journal of biological databases and curation

Enhancing Entity Boundary Detection for Better Chinese Named Entity Recognition

Meeting of the Association for Computational Linguistics

Detection of medical text semantic similarity based on convolutional neural network

BMC medical informatics and decision making

Active Learning with Query Generation for Cost-Effective Text Classification

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

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation

Chinese Lexical Simplification

The graph-based behavior-aware recommendation for interactive news

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


Data about the past and current structure of the Lightning Network

The Weighted Bitcoin Lightning Network

Empirical evaluation of nodes and channels of the lightning network

D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's
  Lightning Network

Online Admission Control and Rebalancing in Payment Channel Networks


Neural generation model for Open Information Extraction

IMoJIE: Iterative Memory-Based Joint Open Information Extraction

CompactIE: Compact Facts in Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

Syntactic Multi-view Learning for Open Information Extraction

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


Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code

A Survey on Causal Inference

Benchmarking Framework for Performance-Evaluation of Causal Inference
  Analysis

How to select predictive models for causal inference?

Causal Effect Estimation using Variational Information Bottleneck


Tensorflow implementation of the SRGAN algorithm for single image super-resolution

Image-to-Image Translation with Conditional Adversarial Networks

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Efficient Super Resolution For Large-Scale Images Using Attentional GAN

Super Resolution by Deep Learning Improves Boulder Detection in Side Scan Sonar Backscatter Mosaics


RoBERTa models for Polish

RoBERTa: A Robustly Optimized BERT Pretraining Approach

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

Pre-training Polish Transformer-based Language Models at Scale

Real-Time Sentiment Analysis for Polish Dialog Systems Using MT as Pivot

TrelBERT: A pre-trained encoder for Polish Twitter

Workshop on Balto-Slavic Natural Language Processing


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


Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Background Suppression Network for Weakly-supervised Temporal Action
  Localization

Weakly-supervised Temporal Action Localization by Uncertainty Modeling


Implementation of DeepDB: Learn from Data, not from Queries!

Are We Ready For Learned Cardinality Estimation?

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FactorJoin: A New Cardinality Estimation Framework for Join Queries


Unified Cybersecurity Ontology

Cyber Threat Intelligence Model: An Evaluation of Taxonomies, Sharing Standards, and Ontologies within Cyber Threat Intelligence

European Intelligence and Security Informatics Conference

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

A Semantic Model for Security Evaluation of Information Systems


Intelligent disease prediction system that can help radiologists review Chest X-rays more efficiently.

Learning Deep Features for Discriminative Localization

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Boosted Cascaded Convnets for Multilabel Classification of Thoracic Diseases in Chest Radiographs


A fast, robust Python library to check for offensive language in strings.

Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset

Composing Ensembles of Pre-trained Models via Iterative Consensus


starter from "How to Train a GAN?" at NIPS2016

NIPS 2016 Tutorial: Generative Adversarial Networks

A high-bias, low-variance introduction to Machine Learning for physicists

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

LOGAN: Membership Inference Attacks Against Generative Models

Adversarial Representation Learning for Text-to-Image Matching

CapsuleGAN: Generative Adversarial Capsule Network

An Introduction to Image Synthesis with Generative Adversarial Nets

Intriguing properties of adversarial training at scale

Symbolic Music Genre Transfer with CycleGAN

On the Effects of Batch and Weight Normalization in Generative Adversarial Networks


[AAAI23] This it the official github for AAAI23 paper "Spatio-Temporal Meta-Graph Learning for Traffic Forecasting"

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

MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal
  Modeling


CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive
  Knowledge Infusion

RECAP: Towards Precise Radiology Report Generation via Dynamic Disease Progression Reasoning


Official implementation of the SPL paper "One-class Learning Towards Synthetic Voice Spoofing Detection"

One-Class Learning Towards Synthetic Voice Spoofing Detection

UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021

An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems

One-class learning towards generalized voice spoofing detection.

Detecting Voice Cloning Attacks via Timbre Watermarking


Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

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

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Deep Learning-based Image Compression with Trellis Coded Quantization

Universal and Succinct Source Coding of Deep Neural Networks

Leveraging Spatial and Temporal Correlations for Network Traffic
  Compression


基于GAN的人像卡通化

Fully Convolutional Networks for Semantic Segmentation

Image-to-Image Translation with Conditional Adversarial Networks

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

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation


AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Learning to Pool in Graph Neural Networks for Extrapolation

State of the Art and Potentialities of Graph-level Learning


Music Transformer Sequence Generation in Pytorch

Sequence to Sequence Learning with Neural Networks

Self-Attention with Relative Position Representations

Music Transformer

This Time with Feeling: Learning Expressive Musical Performance


LLVM Obfuscator

Trex: Learning Execution Semantics from Micro-Traces for Binary Similarity

XDA: Accurate, Robust Disassembly with Transfer Learning

NeuDep: neural binary memory dependence analysis

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

iOLLVM: Enhanced Version of OLLVM

Artificial Intelligence Trends & Technologies


PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (CVPR 2022)

On the Strong Correlation Between Model Invariance and Generalization

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


Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

Fully Convolutional Geometric Features

International Conference on Computer Vision

Deep Global Registration

Learning multiview 3D point cloud registration

Self-supervised Geometric Perception

Anomaly Detection in 3D Point Clouds using Deep Geometric Descriptors


Temporal networks in Python. Provides fast tools to analyze temporal contact networks and simulate dynamic processes on them using Gillespie's SSA.

Temporal Gillespie Algorithm: Fast Simulation of Contagion Processes on Time-Varying Networks

Challenges in Community Discovery on Temporal Networks

A hybrid adjacency and time-based data structure for analysis of temporal networks

Causal Paths in Temporal Networks of Face-to-Face Human Interactions


Benchmark tests supporting the openalpr library

Based on Data Mining and Big Data Intelligent System in Enterprise Cost Accounting Optimization Application

Multinational License Plate Recognition Using Generalized Character Sequence Detection

Research on License Plate Recognition Algorithms Based on Deep Learning in Complex Environment

On the Cross-dataset Generalization in License Plate Recognition

Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review

An End-to-End Automated License Plate Recognition System Using YOLO Based Vehicle and License Plate Detection with Vehicle Classification

Intelligent Video Surveillance Systems for Vehicle Identification Based on Multinet Architecture


A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).

Online Continual Learning in Image Classification: An Empirical Survey

Online Class-Incremental Continual Learning with Adversarial Shapley Value

Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning

Do Pre-trained Models Benefit Equally in Continual Learning?

Online Prototype Learning for Online Continual Learning

Learning "O" Helps for Learning More: Handling the Concealed Entity
  Problem for Class-incremental NER


The code of "Mask TextSpotter v3: Segmentation Proposal Network for Robust Scene Text Spotting"

TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text

Scene Text Retrieval via Joint Text Detection and Similarity Learning

GLASS: Global to Local Attention for Scene-Text Spotting

Language Matters: A Weakly Supervised Vision-Language Pre-training Approach for Scene Text Detection and Spotting

COO: Comic Onomatopoeia Dataset for Recognizing Arbitrary or Truncated Texts

Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis


Neural models for documents with metadata

Neural Models for Documents with Metadata

Classification aware neural topic model for COVID-19 disinformation categorisation

Improving Neural Topic Models using Knowledge Distillation

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Neural labeled LDA: a topic model for semi-supervised document classification

Discovering Topics in Long-tailed Corpora with Causal Intervention

Hierarchical Interpretation of Neural Text Classification

Classifying COVID-19 vaccine narratives


Transformer based translation quality estimation

TransQuest: Translation Quality Estimation with Cross-lingual Transformers

TransQuest at WMT2020: Sentence-Level Direct Assessment

An Exploratory Analysis of Multilingual Word-Level Quality Estimation with Cross-Lingual Transformers

Towards Fine-Grained Information: Identifying the Type and Location of
  Translation Errors


Monocular Depth Estimation Toolbox based on MMSegmentation.

BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation

DepthFormer: Exploiting Long-range Correlation and Local Information for Accurate Monocular Depth Estimation

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion
  Models

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


Deep Whole Brain Segmentation Using SLANT Method

3D whole brain segmentation using spatially localized atlas network tiles

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation

Spatially Localized Atlas Network Tiles Enables 3D Whole Brain Segmentation from Limited Data

Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols


FactSumm: Factual Consistency Scorer for Abstractive Summarization

Asking and Answering Questions to Evaluate the Factual Consistency of Summaries

FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization

Assessing The Factual Accuracy of Generated Text

The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey

CO2Sum:Contrastive Learning for Factual-Consistent Abstractive Summarization

WebBrain: Learning to Generate Factually Correct Articles for Queries by
  Grounding on Large Web Corpus

Multiple View Summarization Framework for Social Media

The International FLAIRS Conference Proceedings

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge
  Selection


This is the official repository for Retrieval Augmented Visual Question Answering

Retrieval Augmented Visual Question Answering with Outside Knowledge

Fine-grained Late-interaction Multi-modal Retrieval for Retrieval
  Augmented Visual Question Answering

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering


Handy PyTorch implementation of Federated Learning (for your painless research)

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

LEAF: A Benchmark for Federated Settings

Adaptive Federated Optimization

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification


Scaleogram plot for Continuous Wavelet Transform made easy

Classifying Be Star Variability With TESS. I. The Southern Ecliptic

Short-term variability and mass loss in Be stars - VI. Frequency groups in γ Cas detected by TESS

Monthly Notices of the Royal Astronomical Society


Tools for plotting methylation data in various ways

Cas9 targeted enrichment of mobile elements using nanopore sequencing

Methylartist: tools for visualizing modified bases from nanopore sequence data

Single-molecule simultaneous profiling of DNA methylation and DNA-protein interactions with Nanopore-DamID

Extrachromosomal circular DNA and structural variants highlight genome instability in Arabidopsis epigenetic mutants


Twitter NLP Tools

Named Entity Recognition in Tweets: An Experimental Study

Empirical Methods in Natural Language Processing

A Survey on Deep Learning for Named Entity Recognition

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT)

SlugNERDS: A Named Entity Recognition Tool for Open Domain Dialogue Systems

Opinion Conflicts: An Effective Route to Detect Incivility in Twitter

Sentence Boundary Detection for Social Media Text

International conference natural language processing

Feature-Rich Twitter Named Entity Recognition and Classification

International Conference on Computational Linguistics

Twitter at the Grammys: A Social Media Corpus for Entity Linking and Disambiguation

Location reference recognition from texts: A survey and comparison


[ICML 2023] Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining

Autoencoders as Cross-Modal Teachers: Can Pretrained 2D Image
  Transformers Help 3D Representation Learning?

VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive
  Representation

ShapeLLM: Universal 3D Object Understanding for Embodied Interaction


PyTorch Implementation of DSB for Score Based Generative Modeling. Experiments managed using Hydra.

Diffusion Schrödinger Bridge with Applications to Score-Based
  Generative Modeling

Entropic Neural Optimal Transport via Diffusion Processes

Energy-guided Entropic Neural Optimal Transport

Building the Bridge of Schrödinger: A Continuous Entropic Optimal
  Transport Benchmark

Tree-Based Diffusion Schrödinger Bridge with Applications to Wasserstein Barycenters


Interactive Image Generation via Generative Adversarial Networks

Generative Adversarial Networks

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Generative Visual Manipulation on the Natural Image Manifold

TraVeLGAN: Image-to-image Translation by Transformation Vector Learning


This repository provides a reference implementation of struc2vec.

struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Graph embedding on biomedical networks: methods, applications and evaluations

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Billion-scale Network Embedding with Iterative Random Projection

Scalable Graph Embeddings via Sparse Transpose Proximities

Toward Understanding and Evaluating Structural Node Embeddings

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Network representation learning systematic review: ancestors and current development state

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods


Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

Compressing LLMs: The Truth is Rarely Pure and Never Simple

Beyond Size: How Gradients Shape Pruning Decisions in Large Language
  Models


Recurrent (conditional) generative adversarial networks for generating real-valued time series data.

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Conditional Sig-Wasserstein GANs for Time Series Generation

Generative adversarial networks in time series: A survey and taxonomy

Time-series Generation by Contrastive Imitation

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

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

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

Graphical Analysis of the Progression of Atrial Arrhythmia Using Recurrent Neural Networks

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


Code for ALBEF: a new vision-language pre-training method

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

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

Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

MixGen: A New Multi-Modal Data Augmentation

EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone

Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization

Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes

Are Multimodal Models Robust to Image and Text Perturbations?

Negative Object Presence Evaluation (NOPE) to Measure Object
  Hallucination in Vision-Language Models

Towards Models that Can See and Read


TextBoxes: A Fast Text Detector with a Single Deep Neural Network

TextBoxes++: A Single-Shot Oriented Scene Text Detector

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

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Scene Text Detection and Recognition: The Deep Learning Era

Text Recognition in the Wild: A Survey

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Extracting textual overlays from social media videos using neural networks


RNNLogic: Learning Logic Rules for Reasoning on Knowledge Graphs

An original model for multi-target learning of logical rules for
  knowledge graph reasoning

DegreEmbed: incorporating entity embedding into logic rule learning for
  knowledge graph reasoning

Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)


Effective selection of population size projection for construction of the site frequency spectrum. Convert VCF to dadi/fastsimcoal style SFS for demographic analysis

Resequencing 545 ginkgo genomes across the world reveals the evolutionary history of the living fossil

Origin and adaptation to high altitude of Tibetan semi-wild wheat

Lineage specific histories of Mycobacterium tuberculosis dispersal in Africa and Eurasia

Population genomics of wild Chinese rhesus macaques reveals a dynamic demographic history and local adaptation, with implications for biomedical research

Population history provides foundational knowledge for utilizing and developing native plant restoration materials

Genomic insights into the evolution of Echinochloa species as weed and orphan crop

Whole genome analyses reveal novel genes associated with chicken adaptation to tropical and frigid environments

Conservation Genomics of a Threatened Rhododendron: Contrasting Patterns of Population Structure Revealed From Neutral and Selected SNPs

Divergent Selection and Primary Gene Flow Shape Incipient Speciation of a Riparian Tree on Hawaii Island

A whole genome scan of SNP data suggests a lack of abundant hard selective sweeps in the genome of the broad host range plant pathogenic fungus Sclerotinia sclerotiorum


ToolBench, an evaluation suite for LLM tool manipulation capabilities.

A Survey on Evaluation of Large Language Models

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

ToolChain*: Efficient Action Space Navigation in Large Language Models
  with A* Search


Point based  and tiny object detection and localization code set of UCAS-VG

Scale Match for Tiny Person Detection

The 1st Tiny Object Detection Challenge:Methods and Results

Object Localization under Single Coarse Point Supervision

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Long-Distance Person Detection Based on YOLOv7

Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes


TEACh is a dataset of human-human interactive dialogues to complete tasks in a simulated household environment.

TEACh: Task-driven Embodied Agents that Chat

Don't Copy the Teacher: Data and Model Challenges in Embodied Dialogue

Learning by Asking for Embodied Visual Navigation and Task Completion


Structured Prediction as Translation between Augmented Natural Languages

DeepStruct: Pretraining of Language Models for Structure Prediction

DEGREE: A Data-Efficient Generative Event Extraction Model

Generative Prompt Tuning for Relation Classification


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

Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries

Medical Image Computing and Computer-Assisted Intervention

Cross-Domain Conditional Generative Adversarial Networks for Stereoscopic Hyperrealism in Surgical Training

Neural Networks for Semantic Gaze Analysis in XR Settings

PROCEEDINGS ETRA 2021: ACM SYMPOSIUM ON EYE TRACKING RESEARCH AND APPLICATIONS

On the Applicability of Synthetic Data for Re-Identification


2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Let Images Give You More:Point Cloud Cross-Modal Training for Shape
  Analysis

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels


Uniform Manifold Approximation and Projection - R package

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

Meta-analysis of the gut microbiota in predicting response to cancer immunotherapy in metastatic melanoma

Distillation of the clinical algorithm improves prognosis by multi-task deep learning in high-risk Neuroblastoma

Exploratory Study on Application of MALDI-TOF-MS to Detect SARS-CoV-2 Infection in Human Saliva

Historical RNA expression profiles from the extinct Tasmanian tiger


:floppy_disk: :page_with_curl: "Reads to report" for public health and clinical microbiology

Bakta: Rapid & standardized annotation of bacterial genomes via alignment-free sequence identification

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Increased Usage of Antiseptics Is Associated with Reduced Susceptibility in Clinical Isolates of Staphylococcus aureus

An outbreak of pneumococcal meningitis among older children (≥5 years) and adults after the implementation of an infant vaccination programme with the 13-valent pneumococcal conjugate vaccine in Ghana

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Genomic epidemiology and antimicrobial resistance of Neisseria gonorrhoeae in New Zealand

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

Host adaptation and convergent evolution increases antibiotic resistance without loss of virulence in a major human pathogen

Antimicrobial Susceptibility of Escherichia coli and Salmonella spp. Isolates From Healthy Pigs in Australia: Results of a Pilot National Survey

Dissemination and persistence of extended-spectrum cephalosporin-resistance encoding IncI1-blaCTXM-1 plasmid among Escherichia coli in pigs

Species-Specific Quality Control, Assembly and Contamination Detection in Microbial Isolate Sequences with AQUAMIS


Safe Bayesian Optimization

Safe Controller Optimization for Quadrotors with Gaussian Processes

International Conference on Robotics and Automation

Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics

Adaptive and Safe Bayesian Optimization in High Dimensions via One-Dimensional Subspaces

GoSafe: Globally Optimal Safe Robot Learning

OMG: A Scalable and Flexible Simulation and Testing Environment Toolbox for Intelligent Microgrid Control

Information-Theoretic Safe Exploration with Gaussian Processes


Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.

Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN

Deep Independently Recurrent Neural Network (IndRNN)

RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm

A Chain Graph Interpretation of Real-World Neural Networks


Network Slimming (Pytorch) (ICCV 2017)

Learning Efficient Convolutional Networks through Network Slimming

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

Data-Independent Structured Pruning of Neural Networks via Coresets

Accelerating Training using Tensor Decomposition

Learning Compact Representations of Neural Networks using DiscriminAtive Masking (DAM)


Google DeepLab V3 for Image Semantic Segmentation

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Position-aware Graph Neural Networks

Position-aware Graph Neural Networks

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph
  Neural Networks

Hierarchical message-passing graph neural networks

Adversarial Permutation Guided Node Representations for Link Prediction

A Simple and General Graph Neural Network with Stochastic Message Passing

Permutation-equivariant and Proximity-aware Graph Neural Networks with
  Stochastic Message Passing


Library containing PyTorch implementations of various adversarial attacks and resources

Towards Evaluating the Robustness of Neural Networks

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack

Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses

Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance

Trust Region Based Adversarial Attack on Neural Networks

Fast Minimum-norm Adversarial Attacks through Adaptive Norm Constraints

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

Augmented Lagrangian Adversarial Attacks

Stochastic sparse adversarial attacks


ChID: A Large-scale Chinese IDiom Dataset for Cloze Test

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

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

A BERT-based Dual Embedding Model for Chinese Idiom Prediction


Official implementation of our FLAG paper (CVPR2022)

Robust Optimization as Data Augmentation for Large-scale Graphs

Graph Augmentation Learning

Data Augmentation on Graphs: A Technical Survey

Data Augmentation for Graph Data: Recent Advancements


Scribble-Supervised LiDAR Semantic Segmentation, CVPR 2022 (ORAL)

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation


PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.

FLOT: Scene Flow on Point Clouds Guided by Optimal Transport

PointPWC-Net: Cost Volume on Point Clouds for (Self-)Supervised Scene Flow Estimation

PointPWC-Net: A Coarse-to-Fine Network for Supervised and Self-Supervised Scene Flow Estimation on 3D Point Clouds

Accurate Point Cloud Registration with Robust Optimal Transport

Adversarial Self-Supervised Scene Flow Estimation


An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Unsupervised Learning of Depth and Ego-Motion from Video

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy:
  Appearance Flow to the Rescue

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry

IEEE transactions on intelligent transportation systems

SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints

Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences

Improving Self-Supervised Single View Depth Estimation by Masking
  Occlusion


NAACL2021 - COIL Contextualized Lexical Retriever

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List

A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques

Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage Expansion

Faster Learned Sparse Retrieval with Guided Traversal

A Dense Representation Framework for Lexical and Semantic Matching

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models

ACM transactions on office information systems


DXSLAM: A Robust and Efficient Visual SLAM System with Deep Features

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

A Comprehensive Review on Autonomous Navigation


中文自然语言推理数据集（A large-scale Chinese Nature language inference and Semantic similarity calculation Dataset）

C-Pack: Packaged Resources To Advance General Chinese Embedding

Collective Human Opinions in Semantic Textual Similarity

SDA: Simple Discrete Augmentation for Contrastive Sentence
  Representation Learning


A Framework for Textual Entailment based Zero Shot text classification

Label Verbalization and Entailment for Effective Zero and Few-Shot Relation Extraction

Summarization as Indirect Supervision for Relation Extraction

Textual Entailment for Event Argument Extraction: Zero- and Few-Shot with Multi-Source Learning

Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors

Ask2Transformers: Zero-Shot Domain labelling with Pre-trained Language Models

ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations

Generative Prompt Tuning for Relation Classification


Vision-Language Pre-training for Image Captioning and Question Answering

Unified Vision-Language Pre-Training for Image Captioning and VQA

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

Fatality Killed the Cat or: BabelPic, a Multimodal Dataset for Non-Concrete Concepts

Meeting of the Association for Computational Linguistics

Learning to Learn Words from Visual Scenes


:page_facing_up: A PyTorch implementation of Paragraph Vectors (doc2vec).

Distributed Representations of Words and Phrases and their Compositionality

Distributed Representations of Sentences and Documents

Document Embedding with Paragraph Vectors

A Survey on Text Classification: From Shallow to Deep Learning

Notes on Noise Contrastive Estimation and Negative Sampling

A Knowledge-Based Filtering Method for Open Relations among Geo-Entities


document image degradation

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

LDV-Forum/Journal for language technology and computational linguistics

Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation


[CVPR 2019]: Pluralistic Image Completion

Pluralistic Image Completion

Text-Guided Neural Image Inpainting

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

Iterative facial image inpainting based on an encoder-generator architecture

Conditional Image Generation by Conditioning Variational Auto-Encoders

Neural Image Inpainting Guided with Descriptive Text

Pluralistic Image Completion with Probabilistic Mixture-of-Experts

Generative Data Augmentation for Vehicle Detection in Aerial Images

Towards robustness under occlusion for face recognition


Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

Controllable Dialogue Simulation with In-Context Learning

MVP: Multi-task Supervised Pre-training for Natural Language Generation


EntroPy: complexity of time-series in Python (DEPRECATED)

Detecting Epileptic Seizures in EEG Signals with Complementary Ensemble Empirical Mode Decomposition and Extreme Gradient Boosting

Prediction of autism spectrum disorder diagnosis using nonlinear measures of language-related EEG at 6 and 12 months

Phylogenetic signal in the vocalizations of vocal learning and vocal non-learning birds

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

Causal Discovery using Compression-Complexity Measures

Sleep apnea and respiratory anomaly detection from a wearable band and oxygen saturation


DMControl Generalization Benchmark

A Survey of Zero-shot Generalisation in Deep Reinforcement Learning

Generalization in Reinforcement Learning by Soft Data Augmentation

Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation

Intrinsically Motivated Self-supervised Learning in Reinforcement Learning


face-cluster-by-infomap 一种无监督人脸聚类方法，在开源数据集上取得SOTA效果

Linkage Based Face Clustering via Graph Convolution Network

Learning to Cluster Faces on an Affinity Graph

Learning to Cluster Faces via Confidence and Connectivity Estimation


Python library for analysing faces using PyTorch

AdaFace: Quality Adaptive Margin for Face Recognition

Facial expression and attributes recognition based on multi-task learning of lightweight neural networks

Symposium on Intelligent Systems and Informatics

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

IEEE transactions on affective computing

Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

Zenodo (CERN European Organization for Nuclear Research)

Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets

Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry

Pre-training strategies and datasets for facial representation learning

Unified Negative Pair Generation toward Well-discriminative Feature
  Space for Face Recognition

Optimal Transport-based Identity Matching for Identity-invariant Facial
  Expression Recognition


The PyTorch implementation of STGCN.

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

PROCEEDINGS OF THE TWENTY-SEVENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

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

Deep learning for dynamic graphs: models and benchmarks


[PR-2021-Survey] Paper list on Pedestrian Attribute Recognition (PAR) and related tasks (Pattern Recognition 2021)

Pedestrian Attribute Recognition: A Survey

SequencePAR: Understanding Pedestrian Attributes via A Sequence
  Generation Paradigm


Training and evaluating a variational autoencoder for pan-cancer gene expression data

Auto-Encoding Variational Bayes

Building high-level features using large scale unsupervised learning

Extracting a Biologically Relevant Latent Space from Cancer Transcriptomes with Variational Autoencoders

Evaluating deep variational autoencoders trained on pan-cancer gene expression


[IJCAI'18] Spatio-Temporal Graph Convolutional Networks

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Deep Learning on Graphs: A Survey

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

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

Dynamic Network Embedding Survey

Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency

Transportation research. Part C, Emerging technologies

Low-Rank Autoregressive Tensor Completion for Multivariate Time Series Forecasting


Reference implementation of "An Algorithm for Routing Vectors in Sequences" (Heinsen, 2022) and "An Algorithm for Routing Capsules in All Domains" (Heinsen, 2019), for composing deep neural networks.

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

Dynamic Routing Between Capsules


MDNet PyTorch implementation

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking

Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking

Benchmarking Deep Trackers on Aerial Videos

Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-Based Beam Search


WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects  (ICCV 2019) [Python & Matlab].

What Else Can Fool Deep Learning? Addressing Color Constancy Errors on Deep Neural Network Performance

Deep White-Balance Editing

Image color correction, enhancement, and editing


Official implementation for "Automatic Chain of Thought Prompting in Large Language Models" (stay tuned & more will be updated)

Universal Self-Adaptive Prompting


BCDU-Net : Medical Image Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

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

Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions

Multi-level Context Gating of Embedded Collective Knowledge for Medical
  Image Segmentation

CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images


Wave propagation modules for PyTorch.

Revisit Geophysical Imaging in A New View of Physics-informed Generative Adversarial Learning

Deep-pretrained-FWI: combining supervised learning with physics-informed
  neural network


Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".

Deep Learning on Graphs: A Survey

Deep Graph Contrastive Representation Learning

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Relational Self-Supervised Learning on Graphs

Message Passing Neural Processes

Informative pseudo-labeling for graph neural networks with few labels

Effective Semi-Supervised Node Classification on Few-Labeled Graph Data


Memo about 3d human pose estimation, record of datasets, papers, codes.

Learning from Synthetic Humans

Self-supervised Learning of Motion Capture

AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding


Learning multiple visual domains with residual adapters

Efficient parametrization of multi-domain deep neural networks

Multi-domain Learning for Updating Face Anti-spoofing Models


The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.

GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification

Coreferential Reasoning Learning for Language Representation

BERT for Evidence Retrieval and Claim Verification

Which Linguist Invented the Lightbulb? Presupposition Verification for Question-Answering

How Robust are Fact Checking Systems on Colloquial Claims?

North American Chapter of the Association for Computational Linguistics

Adapting Open Domain Fact Extraction and Verification to COVID-FACT through In-Domain Language Modeling

Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims

Paragraph-based Transformer Pre-training for Multi-Sentence Inference


The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)

A 3D Generative Model for Structure-Based Drug Design

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets

Generating 3D molecules conditional on receptor binding sites with deep generative models


Example code for the paper "Understanding deep learning requires rethinking generalization"

mixup: Beyond Empirical Risk Minimization

How Does Learning Rate Decay Help Modern Neural Networks

Measuring Generalization with Optimal Transport

Learning with Retrospection

With False Friends Like These, Who Can Notice Mistakes?

Reducing Flipping Errors in Deep Neural Networks


Robust and Efficient Medical Imaging with Self-Supervision

A General-Purpose Self-Supervised Model for Computational Pathology


[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

Less is More: CLIPBERT for Video-and-Language Learning via Sparse Sampling

Revealing Single Frame Bias for Video-and-Language Learning

SQA3D: Situated Question Answering in 3D Scenes

AssistSR: Task-oriented Video Segment Retrieval for Personal AI Assistant

AssistSR: Affordance-centric Question-driven Video Segment Retrieval

The Multi-Modal Video Reasoning and Analyzing Competition


An official implementation of Pangu-Weather

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global
  Weather Forecast

WeatherBench 2: A benchmark for the next generation of data-driven
  global weather models

On some limitations of data-driven weather forecasting models


Public repository associated with "Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL"

Modeling Multivariate Biosignals With Graph Neural Networks and
  Structured State Space Models


[SIGGRAPH'22] StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets

3D generation on ImageNet

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

PTW: Pivotal Tuning Watermarking for Pre-Trained Image Generators

Generative Models: What do they know? Do they know things? Let's find
  out!

Revisiting the Evaluation of Image Synthesis with GANs

SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear
  Layer

Improving the Effectiveness of Deep Generative Data

DiffMorpher: Unleashing the Capability of Diffusion Models for Image
  Morphing


BERT for Coreference Resolution

Longformer: The Long-Document Transformer

SpanBERT: Improving Pre-training by Representing and Predicting Spans

BERT for Coreference Resolution: Baselines and Analysis

Conundrums in Entity Coreference Resolution: Making Sense of the State of the Art

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

Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network

A Study on Entity Resolution for Email Conversations

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

Fast End-to-end Coreference Resolution for Korean

Incorporating Constituent Syntax for Coreference Resolution

CEREC: A Corpus for Entity Resolution in Email Conversations

International Conference on Computational Linguistics


A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

PieAPP: Perceptual Image-Error Assessment through Pairwise Preference

Evaluating Deep Neural Networks for Image Document Enhancement


Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

Diffusion Models Beat GANs on Image Synthesis

Equivariant Energy-Guided SDE for Inverse Molecular Design

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

SAMScore: A Semantic Structural Similarity Metric for Image Translation
  Evaluation

UVCGAN v2: An Improved Cycle-Consistent GAN for Unpaired Image-to-Image
  Translation


ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

Deeper Depth Prediction with Fully Convolutional Residual Networks

Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks

Parse geometry from a line: Monocular depth estimation with partial laser observation

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals


Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Deep Graph Generators: A Survey

State of the Art and Potentialities of Graph-level Learning

GenCAT: Generating Attributed Graphs with Controlled Relationships
  between Classes, Attributes, and Topology

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph
  Generation

Generating a Doppelganger Graph: Resembling but Distinct

FLOWGEN: Fast and slow graph generation


A question answering corpus in insurance domain

Applying Deep Learning to Answer Selection: A Study and An Open Task

Automatic Question-Answering Using A Deep Similarity Neural Network

BanditRank: Learning to Rank Using Contextual Bandits

Bayesian Optimization for Selecting Efficient Machine Learning Models


COVID-19 data in Brazil: cases, deaths, and vaccination at municipal (city) level. Description of the data: https://github.com/wcota/covid19br/blob/master/DESCRIPTION.en.md and https://doi.org/10.1590/SciELOPreprints.362

The ongoing COVID-19 epidemic in Minas Gerais, Brazil: insights from epidemiological data and SARS-CoV-2 whole genome sequencing

Quantifying political influence on COVID-19 fatality in Brazil

COVID-19 Epidemic Forecast in Brazil

Dynamics and Determinants of SARS-CoV-2 RT-PCR Testing on Symptomatic Individuals Attending Healthcare Centers during 2020 in Bahia, Brazil

Impact of COVID-19 on the efficacy of meeting the transfusion demand by a Brazilian blood banks network

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis

Unveiling the Impact of the Omicron Variant: Insights from Genomic Surveillance in Mato Grosso do Sul, Midwest Brazil

NAIVE STATISTICAL ANALYSES FOR COVID-19: APPLICATION TO DATA FROM BRAZIL AND ITALY


Generative Topic Embedding: a Continuous Representation of Documents

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context


Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Image-to-Image Translation with Conditional Adversarial Networks

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning

cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM

Human segmentation in surveillance video with deep learning

Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging

Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks

Predicting 21 cm-line map from Lyman-α emitter distribution with generative adversarial networks

Monthly Notices of the Royal Astronomical Society

DragonPaint: Rule based bootstrapping for small data with an application
  to cartoon coloring

Indoor Network Generation Using Building Evacuation Maps

Journal of the Korean society of hazard mitigation/Han'gug bangjae haghoe nonmunjib


A python implementation of the Rapid Automatic Keyword Extraction

Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion

Generating Multiple Diverse Responses for Short-Text Conversation

Extract with Order for Coherent Multi-Document Summarization

Cluster Labeling by Word Embeddings and WordNet's Hypernymy

Australasian Language Technology Association Workshop

Exploratory Analysis of Highly Heterogeneous Document Collections

Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers

Document Level Novelty Detection: Textual Entailment Lends a Helping Hand

Linking Tweets with Monolingual and Cross-Lingual News using Transformed Word Embeddings


Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Local Augmentation for Graph Neural Networks

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

Data Augmentation on Graphs: A Technical Survey

Data Augmentation for Graph Data: Recent Advancements

Graph Attention Networks with LSTM-based Path Reweighting.

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


Aligning pretrained language models with instruction data generated by themselves.

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

Instruction Tuning with GPT-4

Principle-Driven Self-Alignment of Language Models from Scratch with
  Minimal Human Supervision

Instruction Tuning for Large Language Models: A Survey

AlpaGasus: Training A Better Alpaca with Fewer Data

Camoscio: an Italian Instruction-tuned LLaMA

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

Understanding LLMs: A Comprehensive Overview from Training to Inference

Ensemble-Instruct: Generating Instruction-Tuning Data with a
  Heterogeneous Mixture of LMs


This repository contains the implementation of the VAE and Gaussian Mixture VAE using TensorFlow and several network architectures

Tutorial on Variational Autoencoders

Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders

MMGAN: Generative Adversarial Networks for Multi-Modal Distributions


Open Chinese Language Pre-trained Model Zoo

Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Dependency Learning for Legal Judgment Prediction with a Unified
  Text-to-Text Transformer

Law Article-Enhanced Legal Case Matching: A Causal Learning Approach

Legal Element-oriented Modeling with Multi-view Contrastive Learning for Legal Case Retrieval

IEEE International Joint Conference on Neural Network

Statute recommendation: Re-ranking statutes by modeling case-statute relation with interpretable hand-crafted features

Incorporating Judgment Prediction into Legal Case Retrieval via
  Law-aware Generative Retrieval


Implementation of Phenaki Video, which uses Mask GIT to produce text guided videos of up to 2 minutes in length, in Pytorch

GLU Variants Improve Transformer

MaskGIT: Masked Generative Image Transformer

Phenaki: Variable Length Video Generation From Open Domain Textual
  Description

Improved Masked Image Generation with Token-Critic

Dual PatchNorm


Data and code for EMNLP 2021 paper "FinQA: A Dataset of Numerical Reasoning over Financial Data"

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data

PACIFIC: Towards Proactive Conversational Question Answering over Tabular and Textual Data in Finance

APOLLO: An Optimized Training Approach for Long-form Numerical Reasoning

A Robustly Optimized Long Text to Math Models for Numerical Reasoning On
  FinQA

Zero-Shot Question Answering over Financial Documents using Large
  Language Models


LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Graph Learning based Recommender Systems: A Review

Sequential Recommendation via Stochastic Self-Attention

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

NGAT4Rec: Neighbor-Aware Graph Attention Network For Recommendation

Compressed Interaction Graph based Framework for Multi-behavior Recommendation

Coarse-to-Fine Knowledge-Enhanced Multi-Interest Learning Framework for Multi-Behavior Recommendation

User Embedding based Neighborhood Aggregation Method for Inductive Recommendation

Density-Ratio Based Personalised Ranking from Implicit Feedback

Dynamic Sequential Graph Learning for Click-Through Rate Prediction


Official Implementation of ICML 2019 Unsupervised label noise modeling and loss correction

Learning from Noisy Labels with Deep Neural Networks: A Survey

Unsupervised Label Noise Modeling and Loss Correction

Constrained Instance and Class Reweighting for Robust Learning under
  Label Noise


Robust, Realtime, On-Device Face Liveness Detection (Face Anti Spoofing) Android

Learn Convolutional Neural Network for Face Anti-Spoofing

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing

Learning Generalized Spoof Cues for Face Anti-spoofing


A PyTorch implementation of the YOLO v3 object detection algorithm

Generating Multiple Objects at Spatially Distinct Locations

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

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

A dynamic discarding technique to increase speed and preserve accuracy for YOLOv3


GuwenBERT: 古文预训练语言模型（古文BERT）  A Pre-trained Language Model for Classical Chinese (Literary Chinese)

SikuGPT: A Generative Pre-trained Model for Intelligent Information
  Processing of Ancient Texts from the Perspective of Digital Humanities

WYWEB: A NLP Evaluation Benchmark For Classical Chinese

Period Classification in Chinese Historical Texts

Proceedings of the 5th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

Zuo Zhuan Ancient Chinese Dataset for Word Sense Disambiguation

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

GujiBERT and GujiGPT: Construction of Intelligent Information Processing
  Foundation Language Models for Ancient Texts

A Joint Framework for Ancient Chinese WS and POS Tagging Based on Adversarial Ensemble Learning

Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models

Towards Effective Ancient Chinese Translation: Dataset, Model, and
  Evaluation


HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20, TPAMI'21)

PaStaNet: Toward Human Activity Knowledge Engine

HAKE: Human Activity Knowledge Engine

HAKE: A Knowledge Engine Foundation for Human Activity Understanding


Repository for Med2Vec project

Multi-layer Representation Learning for Medical Concepts

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding


Must-read Papers on Physics-Informed Neural Networks.

The Deep Ritz Method: A Deep Learning-Based Numerical Algorithm for Solving Variational Problems

Understanding and Mitigating Gradient Flow Pathologies in Physics-Informed Neural Networks

NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework

NeuroDiffEq: A Python package for solving differential equations with neural networks

Multi-Objective Loss Balancing for Physics-Informed Deep Learning

A study on a feedforward neural network to solve partial differential equations in hyperbolic-transport problems

Quantifying Uncertainty in Physics-Informed Variational Autoencoders for Anomaly Detection

Advances in intelligent systems and computing


PyTorch implementation of Value Iteration Networks (VIN): Clean, Simple and Modular. Visualization in Visdom.

Cognitive Mapping and Planning for Visual Navigation

Value Iteration Networks

Neural Map: Structured Memory for Deep Reinforcement Learning

Learning from the Hindsight Plan -- Episodic MPC Improvement


Conformalized Quantile Regression

Conformalized Quantile Regression

Nested conformal prediction and quantile out-of-bag ensemble methods

With Malice Towards None: Assessing Uncertainty via Equalized Coverage

Achieving Equalized Odds by Resampling Sensitive Attributes

Estimating Uncertainty Intervals from Collaborating Networks

Distribution-Free Finite-Sample Guarantees and Split Conformal
  Prediction


[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

Think Locally, Act Globally: Federated Learning with Local and Global Representations

Personalized Federated Learning with First Order Model Optimization

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks

Efficient Distribution Similarity Identification in Clustered Federated
  Learning via Principal Angles Between Client Data Subspaces

Supernet Training for Federated Image Classification under System
  Heterogeneity


Siamese and triplet networks with online pair/triplet mining in PyTorch

FaceNet: A Unified Embedding for Face Recognition and Clustering

In Defense of the Triplet Loss for Person Re-Identification

Class Attention to Regions of Lesion for Imbalanced Medical Image
  Recognition


Code and data accompanying the FedGen paper

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Data-Free Knowledge Distillation for Heterogeneous Federated Learning

Federated Knowledge Distillation

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning


Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and  CTRL (ICCV 23, oral).

Embracing Single Stride 3D Object Detector with Sparse Transformer

Fully Sparse 3D Object Detection

Super Sparse 3D Object Detection

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels


Programs for producing static and dynamic (runtime) call graphs for Java programs

Parameter-free probabilistic API mining across GitHub

Interactive, Effort-Aware Library Version Harmonization

Change Impact Analysis Based Regression Testing of Web Services

Adding Context to Source Code Representations for Deep Learning

A comparative study of application-level caching recommendations at the method level

JEMMA: An extensible Java dataset for ML4Code applications


Phrase-Based & Neural Unsupervised Machine Translation

Cross-lingual Language Model Pretraining

Generalized Data Augmentation for Low-Resource Translation

Boosting Neural Machine Translation with Similar Translations

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

PidginUNMT: Unsupervised Neural Machine Translation from West African
  Pidgin to English

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings

Proceedings of the Third Conference on Machine Translation: Shared Task Papers


Python re-implementation of the (constrained) spectral clustering algorithms used in Google's speaker diarization papers.

Speaker Diarization with LSTM

Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection

Highly Efficient Real-Time Streaming and Fully On-Device Speaker
  Diarization with Multi-Stage Clustering

Multimodal Clustering with Role Induced Constraints for Speaker Diarization


BERT models for Japanese text.

BERTje: A Dutch BERT Model

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

RoBERT – A Romanian BERT Model

Pre-training Polish Transformer-based Language Models at Scale

News-based Business Sentiment and its Properties as an Economic Index

A lexicon-based approach to examine depression detection in social media: the case of Twitter and university community

Humanities and Social Sciences Communications

Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation

Pre-training technique to localize medical BERT and enhance biomedical
  BERT

Practical Transformer-based Multilingual Text Classification

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis


iCaRL: Incremental Classifier and Representation Learning

End-to-End Incremental Learning

Large Scale Incremental Learning

Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning

ScaIL: Classifier Weights Scaling for Class Incremental Learning

Adaptive Orthogonal Projection for Batch and Online Continual Learning

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

A First Look at Class Incremental Learning in Deep Learning Mobile Traffic Classification

Online Prototype Learning for Online Continual Learning


Attention based model for learning to solve different routing problems

Attention, Learn to Solve Routing Problems!

Learning to Delegate for Large-scale Vehicle Routing

Learning Collaborative Policies to Solve NP-hard Routing Problems

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

On Learning Paradigms for the Travelling Salesman Problem

Learning to Optimise General TSP Instances

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem.

Adaptive solution prediction for combinatorial optimization

DevFormer: A Symmetric Transformer for Context-Aware Device Placement


D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Point Pattern Feature-Based Anomaly Detection for Manufacturing Defects, in the Random Finite Set Framework

Content-Adaptive Downsampling in Convolutional Neural Networks


Empirical tricks for training robust models (ICLR 2021)

Bag of Tricks for Adversarial Training

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

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

Ensemble-in-One: Ensemble Learning within Random Gated Networks for Enhanced Adversarial Robustness

Proceedings of the AAAI Conference on Artificial Intelligence


Voice Conversion by CycleGAN (语音克隆/语音转换): CycleGAN-VC2

Image-to-Image Translation with Conditional Adversarial Networks

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

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Neural Voice Cloning with a Few Samples

Voice conversion from non-parallel corpora using variational auto-encoder

CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

Learning to Speak Fluently in a Foreign Language: Multilingual Speech Synthesis and Cross-Language Voice Cloning

Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks


PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

Data-Free Quantization Through Weight Equalization and Bias Correction

ZeroQ: A Novel Zero Shot Quantization Framework

Weight Equalizing Shift Scaler-Coupled Post-training Quantization


[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Contrastive Multiview Coding

Understanding Contrastive Representation Learning through Geometry on the Hypersphere

Debiased Contrastive Learning

CompRess: Self-Supervised Learning by Compressing Representations

Dataset Condensation via Efficient Synthetic-Data Parameterization

Impact of base dataset design on few-shot image classification

On Equivariant and Invariant Learning of Object Landmark Representations

Unsupervised Discovery of Object Landmarks via Contrastive Learning


code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

TLDR: Extreme Summarization of Scientific Documents

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

Globalizing BERT-based Transformer Architectures for Long Document Summarization

Conference of the European Chapter of the Association for Computational Linguistics

Friendly Topic Assistant for Transformer Based Abstractive Summarization

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

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Automated Lay Language Summarization of Biomedical Scientific Reviews

Pre-training for Abstractive Document Summarization by Reinstating Source Text

Graph Enhanced Contrastive Learning for Radiology Findings Summarization

WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization


Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

Towards Robust Neural Networks via Random Self-ensemble

The Odds are Odd: A Statistical Test for Detecting Adversarial Examples

Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network

Beyond ImageNet Attack: Towards Crafting Adversarial Examples for
  Black-box Domains

The Dimpled Manifold Model of Adversarial Examples in Machine Learning

MixNorm: Test-Time Adaptation Through Online Normalization Estimation

Rate Distortion For Model Compression: From Theory To Practice

Information-Theoretic Understanding of Population Risk Improvement with Model Compression

Classification Confidence Estimation with Test-Time Data-Augmentation

Population Risk Improvement with Model Compression: An Information-Theoretic Approach


Neural network sequence labeling model

Recurrent Neural Network Grammars

Empower Sequence Labeling with Task-Aware Neural Language Model

Semi-supervised Multitask Learning for Sequence Labeling

Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts

Grammatical error detection in transcriptions of spoken English

Pretrained language model transfer on neural named entity recognition in
  Indonesian conversational texts


Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Program of Thoughts Prompting: Disentangling Computation from Reasoning
  for Numerical Reasoning Tasks

Tool Documentation Enables Zero-Shot Tool-Usage with Large Language
  Models


The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

GraphSAINT: Graph Sampling Based Inductive Learning Method

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

Bandit Samplers for Training Graph Neural Networks

Node Dependent Local Smoothing for Scalable Graph Learning

Dimensional Reweighting Graph Convolutional Networks

IGLU: Efficient GCN Training via Lazy Updates


ChatGPT DAN, Jailbreaks prompt

Trapping LLM Hallucinations Using Tagged Context Prompts

Investigating Emergent Goal-Like Behaviour in Large Language Models
  Using Experimental Economics

From Prompt Injections to SQL Injection Attacks: How Protected is Your
  LLM-Integrated Web Application?

Data Contamination Through the Lens of Time

Building Privacy-Preserving and Secure Geospatial Artificial Intelligence Foundation Models (Vision Paper)

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems

A Novel Evaluation Framework for Assessing Resilience Against Prompt
  Injection Attacks in Large Language Models