Official release of InternLM2.5 base and chat models. 1M context support

Qwen Technical Report

InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct

AgentBench: Evaluating LLMs as Agents

How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition

InternLM-XComposer2: Mastering Free-form Text-Image Composition and
  Comprehension in Vision-Language Large Model

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models


Public repository for the PM4Py (Process Mining for Python) project.

Trace Encoding in Process Mining: a survey and benchmarking

Leveraging Large Language Models (LLMs) for Process Mining (Technical Report)

Graph-Based Token Replay for Online Conformance Checking

PM4Py.LLM: a Comprehensive Module for Implementing PM on LLMs


A curated list of awesome frameworks, libraries and software for the Java programming language.

Antipatterns in Software Classification Taxonomies

LabelGit: A Dataset for Software Repositories Classification using Attributed Dependency Graphs

Using Structural and Semantic Information to Identify Software Components


Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Accurate Clinical and Biomedical Named Entity Recognition at Scale

Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Deeper Clinical Document Understanding Using Relation Extraction

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP

Understanding COVID-19 News Coverage using Medical NLP


Open Cyber Threat Intelligence Platform

Investigating Sharing of Cyber Threat Intelligence and Proposing A New Data Model for Enabling Automation in Knowledge Representation and Exchange

OSINT-Based LPC-MTD and HS-Decoy for Organizational Defensive Deception

Towards an Improved Taxonomy of Attacks Related to Digital Identities and Identity Management Systems


OpenTitan: Open source silicon root of trust

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link

Unleashing OpenTitan's Potential: a Silicon-Ready Embedded Secure Element for Root of Trust and Cryptographic Offloading


A TensorFlow implementation of Graph Wavelet Neural Network

Deep Learning on Graphs: A Survey

ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


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

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review

Backdoor Attack against NLP models with Robustness-Aware Perturbation defense


Implementation of C-RNN-GAN.

C-RNN-GAN: Continuous recurrent neural networks with adversarial training

Generative adversarial networks in time series: A survey and taxonomy

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

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

Time-series Generation by Contrastive Imitation


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

Efficient Lifelong Learning with A-GEM

Riemannian Walk for Incremental Learning: Understanding Forgetting and Intransigence

On Tiny Episodic Memories in Continual Learning

Class-incremental Learning via Deep Model Consolidation

Model Zoo: A Growing "Brain" That Learns Continually

Online Prototype Learning for Online Continual Learning

International Conference on Machine Learning and Applications

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

Orchestrate Latent Expertise: Advancing Online Continual Learning with
  Multi-Level Supervision and Reverse Self-Distillation

Overcoming Catastrophic Forgetting via Direction-Constrained Optimization


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

North American Chapter of the Association for Computational Linguistics

A Survey on Hate Speech Detection using Natural Language Processing

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

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

Transactions of the Association for Computational Linguistics

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

Benchmarking Aggression Identification in Social Media

International Conference on Computational Linguistics

Challenges in Discriminating Profanity from Hate Speech

A Hierarchically-Labeled Portuguese Hate Speech Dataset

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Deep Learning Models for Multilingual Hate Speech Detection

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

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


Unsupervised Question answering via Cloze Translation

Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Question Answering by Cloze Translation

Meeting of the Association for Computational Linguistics

Regularization of Distinct Strategies for Unsupervised Question Generation

When in Doubt, Ask: Generating Answerable and Unanswerable Questions, Unsupervised

MACHINE LEARNING AND KNOWLEDGE EXTRACTION (CD-MAKE 2021)


A distributed key-value storage system developed by Alibaba Group

Practice on Long Sequential User Behavior Modeling for Click-Through Rate Prediction

Truncation-Free Matching System for Display Advertising at Alibaba


Simple R package for ETCCDI/CRD climate change indices calculations

Analysis of extreme rainfall in Oti River Basin (West Africa)

Analysis of Spatiotemporal Variability in Extreme Climate and Potential Driving Factors on the Yunnan Plateau (Southwest China) during 1960–2019

Population Exposure Changes to Mean and Extreme Climate Events Over Pakistan and Associated Mechanisms

A Comparative Analysis of Changes in Temperature and Precipitation Extremes since 1960 between China and Greece

A Tri-Approach for Diagnosing Gridded Precipitation Datasets for Watershed Glacio-Hydrological Simulation in Mountain Regions

Characterization of the variability in climate extremes in the Ferkessédougou sugar complexes (Northern Côte d'Ivoire)

Proceedings of the International Association of Hydrological Sciences


Datasets for remote sensing images (Paper:Exploring Models and Data for Remote Sensing Image Caption Generation)

IEEE Transactions on Geoscience and Remote Sensing

A Mask-Guided Transformer Network with Topic Token for Remote Sensing Image Captioning

Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures


Code for Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation (EMNLP-21)

Evaluating progress in automatic chest X-ray radiology report generation

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge

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


Official repo for Discriminator Guidance.

Refining Generative Process with Discriminator Guidance in Score-based Diffusion Models

Training Unbiased Diffusion Models From Biased Dataset


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

TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation

PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation


Pytorch implementation of SMIL: Multimodal Learning with Severely Missing Modality (AAAI 2021)

CentralNet: a Multilayer Approach for Multimodal Fusion

Multi-modal Learning with Missing Modality via Shared-Specific Feature Modelling

Multimodality in Meta-Learning: A Comprehensive Survey

RegBN: Batch Normalization of Multimodal Data with Regularization

Enhancing Multi-modal Learning: Meta-learned Cross-modal Knowledge Distillation for Handling Missing Modalities


Nonparametric group variable selection with multivariate response for connectome-based modelling of cognitive scores

Journal of the Royal Statistical Society Series C: Applied Statistics

Gibbs Priors for Bayesian Nonparametric Variable Selection with Weak Learners

Journal of Computational and Graphical Statistics

SoftBart: Soft Bayesian Additive Regression Trees


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

Proximal Policy Optimization Algorithms

Asynchronous Methods for Deep Reinforcement Learning

LTL2Action: Generalizing LTL Instructions for Multi-Task RL

Neuro-Symbolic World Models for Adapting to Open World Novelty

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks

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

Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers

Reinforcement Teaching

Reward Machines for Deep RL in Noisy and Uncertain Environments


2.56%, 15.20%, 1.30% on CIFAR10, CIFAR100, and SVHN  https://arxiv.org/abs/1708.04552

Improved Regularization of Convolutional Neural Networks with Cutout

Unlabeled Data Improves Adversarial Robustness

An Empirical Study of Example Forgetting during Deep Neural Network Learning

General E(2)-Equivariant Steerable CNNs

Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

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

Rethinking the Pruning Criteria for Convolutional Neural Network

Relating Adversarially Robust Generalization to Flat Minima

Doubly Adaptive Scaled Algorithm for Machine Learning Using Second-Order Information

Breast Cancer Dataset, Classification and Detection Using Deep Learning


Model extraction attacks on Machine-Learning-as-a-Service platforms.

Stealing Machine Learning Models via Prediction APIs

PRADA: Protecting against DNN Model Stealing Attacks

Stateful Detection of Model Extraction Attacks

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


[CVPR'20] Official SPAQ & Implementation

Perceptual Quality Assessment of Smartphone Photography

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors

No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features

On strange images with application to lossy image compression

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second


Inductive graph-based matrix completion (IGMC) from "M. Zhang and Y. Chen, Inductive Matrix Completion Based on Graph Neural Networks, ICLR 2020 spotlight".

Graph Learning based Recommender Systems: A Review

Relational Message Passing for Knowledge Graph Completion

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

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


a parallel R package for detecting copy-number alterations from short sequencing reads

Role of TP53 mutations in the origin and evolution of therapy-related acute myeloid leukaemia

SciClone: Inferring Clonal Architecture and Tracking the Spatial and Temporal Patterns of Tumor Evolution

A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

Tumor Evolution in Two Patients with Basal-like Breast Cancer: A Retrospective Genomics Study of Multiple Metastases

The clonal evolution of metastatic colorectal cancer

Abstract 190: Prognostic significance of esterase gene expression in multiple myeloma

A Spontaneous Aggressive ERα+ Mammary Tumor Model Is Driven by Kras Activation.

Spontaneous aggressive ERα+ mammary tumor model is driven by Kras activation

Resistance-promoting effects of ependymoma treatment revealed through genomic analysis of multiple recurrences in a single patient

S100 Calcium Binding Protein Family Members Associate With Poor Patient Outcome and Response to Proteasome Inhibition in Multiple Myeloma

Frontiers in cell and developmental biology


Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

Graph neural network for traffic forecasting: A survey

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment

Graph Neural Rough Differential Equations for Traffic Forecasting

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

DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks

Deep Coupling Network For Multivariate Time Series Forecasting


Protist Ribosomal Reference database (PR2) - SSU rRNA gene database

The Protist Ribosomal Reference database (PR2): a catalog of unicellular eukaryote Small Sub-Unit rRNA sequences with curated taxonomy

Group 2i Isochrysidales produce characteristic alkenones reflecting sea ice distribution

Are We Overestimating Protistan Diversity in Nature?

Zenodo (CERN European Organization for Nuclear Research)

Global radiation in a rare biosphere soil diatom

DNA Metabarcoding for the Characterization of Terrestrial Microbiota—Pitfalls and Solutions

Discarded masks as hotspots of antibiotic resistance genes during COVID-19 pandemic

Habitat Heterogeneity and Connectivity: Effects on the Planktonic Protist Community Structure at Two Adjacent Coastal Sites (the Lagoon and the Gulf of Venice, Northern Adriatic Sea, Italy) Revealed by Metabarcoding

µgreen-db: a reference database for the 23S rRNA gene of eukaryotic plastids and cyanobacteria

An assessment of the taxonomic reliability of DNA barcode sequences in publicly available databases

EukRef-excavates: seven curated SSU ribosomal RNA gene databases

Database : the journal of biological databases and curation


[CIKM 2019] Code and dataset for "Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction"

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

User Response Prediction in Online Advertising

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data


LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classiﬁcation

A Survey on Text Classification: From Shallow to Deep Learning

LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification

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

A Survey on Extreme Multi-label Learning


GilBERTo: A pretrained language model based on RoBERTa for Italian

What the [MASK]? Making Sense of Language-Specific BERT Models

Pre-training Polish Transformer-based Language Models at Scale

IT5: Large-scale Text-to-text Pretraining for Italian Language Understanding and Generation

CLiC-it - How “BERTology" Changed the State-of-the-Art also for Italian NLP

Proceedings of the Seventh Italian Conference on Computational Linguistics CLiC-it 2020

BERTino: an Italian DistilBERT model

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

A Machine Learning approach for Sentiment Analysis for Italian Reviews in Healthcare

Few-shot Named Entity Recognition with Cloze Questions

Agentività e telicità in GilBERTo: implicazioni cognitive

Coherent or Not? Stressing a Neural Language Model for Discourse Coherence in Multiple Languages

Findings of the Association for Computational Linguistics: ACL 2023


Python scripts for training/testing paragraph vectors

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Reconsidering Representation Alignment for Multi-view Clustering

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures

How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions

Workshop on Evaluating Vector-Space Representations for NLP

Heteroglossia: In-Situ Story Ideation with the Crowd

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

North American Chapter of the Association for Computational Linguistics

Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes

Context Aware Document Embedding


XNLI: Evaluating Cross-lingual Sentence Representations

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

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

Is Supervised Syntactic Parsing Beneficial for Language Understanding? An Empirical Investigation

On the Calibration of Massively Multilingual Language Models

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

Identifying the Correlation Between Language Distance and Cross-Lingual Transfer in a Multilingual Representation Space

Leveraging Relaxed Equilibrium by Lazy Transition for Sequence Modeling

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

Let's Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large
  Language Model


EdNet is the dataset of all student-system interactions collected over 2 years by Santa, a multi-platform AI tutoring service with more than 780K users in Korea available through Android, iOS and web.

EdNet: A Large-Scale Hierarchical Dataset in Education

Knowledge Tracing: A Survey

GIKT: A Graph-based Interaction Model for Knowledge Tracing

A Survey of Knowledge Tracing: Models, Variants, and Applications

Multi-Factors Aware Dual-Attentional Knowledge Tracing

BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing

Option Tracing: Beyond Correctness Analysis in Knowledge Tracing

Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems

DGEKT: A Dual Graph Ensemble Learning Method for Knowledge Tracing

LSTM-SAKT: LSTM-Encoded SAKT-like Transformer for Knowledge Tracing


Pytorch implementation of GANimation with pretrained weights.

GANimation: Anatomically-aware Facial Animation from a Single Image

SepMark: Deep Separable Watermarking for Unified Source Tracing and Deepfake Detection

Label-Noise Robust Multi-Domain Image-to-Image Translation


Code for "Stochastic Optimization of Sorting Networks using Continuous Relaxations", ICLR 2019.

Stochastic Optimization of Sorting Networks via Continuous Relaxations

Abductive Knowledge Induction From Raw Data

ProtoGate: Prototype-based Neural Networks with Local Feature Selection for Tabular Biomedical Data


A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

Generative Adversarial Networks (GANs)

Towards the Automatic Anime Characters Creation with Generative Adversarial Networks

GAN Memory with No Forgetting

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks


[ICCV 2019] "Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach"

Deep Learning for Unmanned Aerial Vehicle-Based Object Detection and Tracking: A survey

IEEE Geoscience and Remote Sensing Magazine

Training Domain-invariant Object Detector Faster with Feature Replay and Slow Learner


A wide-ranging suite of IDL routines which observational extragalactic astronomers may find useful.

CHAOS I. DIRECT CHEMICAL ABUNDANCES FOR H  II REGIONS IN NGC 628

CARBON AND OXYGEN ABUNDANCES IN LOW METALLICITY DWARF GALAXIES

A Close Relationship between Lyman Alpha and Mg II in Green Pea Galaxies

Galaxy And Mass Assembly (GAMA): The mechanisms for quiescent galaxy formation at z < 1

Monthly Notices of the Royal Astronomical Society

Disentangling the physical parameters of gaseous nebulae and galaxies

Testing the modern merger hypothesis via the assembly of massive blue elliptical galaxies in the local Universe

THE METAL ABUNDANCES ACROSS COSMIC TIME (MACT) SURVEY. I. OPTICAL SPECTROSCOPY IN THE SUBARU DEEP FIELD

The Astrophysical Journal Supplement Series

DIRECT METHOD GAS-PHASE OXYGEN ABUNDANCES OF FOUR LYMAN BREAK ANALOGS


Pytorch implementation of the paper "The Devil Is in the Details: Window-based Attention for Image Compression".

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Dynamic Kernel-Based Adaptive Spatial Aggregation for Learned Image Compression

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs


DAGMM Tensorflow implementation

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

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

Adaptive Model Pooling for Online Deep Anomaly Detection from a Complex Evolving Data Stream

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

Activation Anomaly Analysis

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT II

Coupled Attention Networks for Multivariate Time Series Anomaly Detection

Time-Series Anomaly Detection with Implicit Neural Representation

Correlation-aware Spatial-Temporal Graph Learning for Multivariate Time-series Anomaly Detection

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data

Rare Life Event Detection via Mobile Sensing Using Multi-Task Learning


An error model and pipeline for analyzing deep mutational scanning (DMS) data and diagnosing common experimental pathologies

The mutational landscape of a prion-like domain

DiMSum: an error model and pipeline for analyzing deep mutational scanning data and diagnosing common experimental pathologies

The genetic landscape for amyloid beta fibril nucleation accurately discriminates familial Alzheimer’s disease mutations

The energetic and allosteric landscape for KRAS inhibition

Mutations primarily alter the inclusion of alternatively spliced exons

An atlas of amyloid aggregation: the impact of substitutions, insertions, deletions and truncations on amyloid beta fibril nucleation

Fitness landscape of a dynamic RNA structure


Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

MixMatch: A Holistic Approach to Semi-Supervised Learning

Imbalanced Semi-supervised Learning with Bias Adaptive Classifier

Unifying Distribution Alignment as a Loss for Imbalanced Semi-supervised Learning

IEEE Workshop/Winter Conference on Applications of Computer Vision


(CVPR21/ECCV20 Workshops) Official repo: Virtual Image Dataset for Illumination Transfer (VIDIT)

AIM 2020: Scene Relighting and Illumination Estimation Challenge

VIDIT: Virtual Image Dataset for Illumination Transfer

NTIRE 2021 Depth Guided Image Relighting Challenge

SA-AE for Any-to-Any Relighting


Detect and align similar passages

Language Resources for Historical Newspapers: the Impresso Collection

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

Studying the History of the Arabic Language: Language Technology and a Large-Scale Historical Corpus

Readers' engagement through digital social reading on Twitter: the TwLetteratura case study

Algorithmic Analysis of Medieval Arabic Biographical Collections

Shamela: A Large-Scale Historical Arabic Corpus

Tracking Textual Similarities in Neo-Latin Drama Networks

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers


Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Neural Machine Translation of Rare Words with Subword Units

Nematus: a Toolkit for Neural Machine Translation

A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

Learning Python Code Suggestion with a Sparse Pointer Network

Neural Machine Translation for Code Generation


Graph Neural Network based Social Recommendation Model. SIGIR2019.

A Neural Influence Diffusion Model for Social Recommendation

DiffNet++: A Neural Influence and Interest Diffusion Network for Social Recommendation

Robust Preference-Guided Denoising for Graph based Social Recommendation


serious constellations of reoccurring phylogenetically-independent origin

The origins and molecular evolution of SARS-CoV-2 lineage B.1.1.7 in the UK

Context-specific emergence and growth of the SARS-CoV-2 Delta variant

medRxiv : the preprint server for health sciences

Comparison of different sequencing techniques with multiplex real-time PCR for detection to identify SARS-CoV-2 variants of concern

Genomics-informed outbreak investigations of SARS-CoV-2 using civet

Mobilisation and analyses of publicly available SARS-CoV-2 data for pandemic responses

Assessment of Inter-Laboratory Differences in SARS-CoV-2 Consensus Genome Assemblies between Public Health Laboratories in Australia

SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method

Modeling the impact of the Omicron infection wave in Germany

Systematic Guidelines for Effective Utilization of COVID-19 Databases in Genomic, Epidemiologic, and Clinical Research


an AI algorithm for detecting trash in geolocated images

Waste detection in Pomerania: non-profit project for detecting waste in environment

A Survey on Waste Detection and Classification Using Deep Learning

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing


integrated RNA-seq Analysis Pipeline

Re-annotation of 191 developmental and epileptic encephalopathy-associated genes unmasks de novo variants in SCN1A

The RNASeq-er API—a gateway to systematically updated analysis of public RNA-seq data

Integrated Proteomics Analysis of Baseline Protein Expression in Pig Tissues


GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding

GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

A Provable Framework of Learning Graph Embeddings via Summarization

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning


A genome binning method for contig binning, based on semi-supervised spectral clustering method.

SolidBin: improving metagenome binning with semi-supervised normalized cut

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

RepBin: Constraint-based Graph Representation Learning for Metagenomic Binning


Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

The autofeat Python Library for Automated Feature Engineering and Selection

Large Language Models for Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering

SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions


A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

A Text Classification Framework for Simple and Effective Early Depression Detection Over Social Media Streams

t-SS3: a text classifier with dynamic n-grams for early risk detection over text streams

PySS3: A Python package implementing a novel text classifier with visualization tools for Explainable AI

Political Alignment Identification: a Study with Documents of Argentinian Journalists

Journal of Computer Science and Technology


Neural network supported GEV beamformer

Neural network based spectral mask estimation for acoustic beamforming

International Conference on Acoustics, Speech, and Signal Processing

Far-Field Automatic Speech Recognition

Narrow-band Deep Filtering for Multichannel Speech Enhancement

Neural Network-based Virtual Microphone Estimator


kallisto index tag extractor

Improving oligo-conjugated antibody signal in multimodal single-cell analysis


Adaptive Attention Span for Reinforcement Learning

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Stabilizing Transformers for Reinforcement Learning

Adaptive Attention Span in Transformers

Adaptive Transformers in RL


The Framework for Aquatic Biogeochemical Models (FABM): a Fortran 2003 programming framework for biogeochemical models of marine and freshwater systems.

Interactive impacts of meteorological and hydrological conditions on the physical and biogeochemical structure of a coastal system

Model-based data analysis of the effect of winter mixing on primary production in a lake under reoligotrophication

Boreal Headwater Catchment as Hot Spot of Carbon Processing From Headwater to Fjord

Journal of Geophysical Research: Biogeosciences

Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)

Zenodo (CERN European Organization for Nuclear Research)

FABM-NflexPD 1.0: Assessing an Instantaneous Acclimation
Approach for Modelling Phytoplankton Growth


Cell Painting Gallery

Evaluating batch correction methods for image-based cell profiling

bioRxiv : the preprint server for biology

Reproducible image-based profiling with Pycytominer

Cell Painting Gallery: an open resource for image-based profiling

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


A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

Layer Normalization

Theano: A Python framework for fast computation of mathematical expressions

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Efficient Memory Management for GPU-based Deep Learning Systems


This is a plant/farming simulator based on Finite Element Method, which targets crops in fields and soil foundations. This software provides multi-physical simulations of agriculture for canopies, plants, and organs for farmers, breeders, agronomists, and civil engineers. Please try and give us feedback.


EmbedRank: Unsupervised Keyphrase Extraction using Sentence Embeddings (official implementation)

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Unsupervised Keyphrase Extraction for Web Pages

Topic Aware Contextualized Embeddings for High Quality Phrase Extraction


Crawl BookCorpus

Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books

Skip-Thought Vectors

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere

Holistic Evaluation of Language Models

Debiased Contrastive Learning

Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Data augmentation using back-translation for context-aware neural machine translation

Empirical Methods in Natural Language Processing

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

Understanding LLMs: A Comprehensive Overview from Training to Inference


Inference of Minimal Event Distance Aneuploidy Lineage Tree based on single cell copy number profile

MEDALT: single-cell copy number lineage tracing enabling gene discovery

Single-cell copy number lineage tracing enabling gene discovery


Hybrid zonotopes: a new set representation for reachability analysis of mixed logical dynamical systems

Reachability Analysis of Nonlinear Systems Using Hybrid Zonotopes and Functional Decomposition

zonoLAB: A MATLAB toolbox for set-based control systems analysis using hybrid zonotopes


Store of the trained model for pangolin to access.

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

SARS-CoV-2 variant Delta rapidly displaced variant Alpha in the United States and led to higher viral loads

Evidence for SARS-CoV-2 Delta and Omicron co-infections and recombination

Trajectory of Growth of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variants in Houston, Texas, January through May 2021, Based on 12,476 Genome Sequences

Rapid and Flexible RT-qPCR Surveillance Platforms To Detect SARS-CoV-2 Mutations

SARS-CoV-2 lineage assignments using phylogenetic placement/UShER are superior to pangoLEARN machine-learning method

Proficiency testing for SARS-CoV-2 whole genome sequencing

Tracking the first SARS-CoV-2 Omicron BA.5.1.3 outbreak in China

Intra-Host Evolution Analyses in an Immunosuppressed Patient Supports SARS-CoV-2 Viral Reservoir Hypothesis

Towards Efficient and Accurate SARS-CoV-2 Genome Sequence Typing Based on Supervised Learning Approaches


NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

Neural Vocoder is All You Need for Speech Super-resolution

Conditioning and Sampling in Variational Diffusion Models for Speech Super-Resolution

Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction


This repository has been moved. The new location is in https://github.com/TexasInstruments/edgeai-tensorlab

Path Aggregation Network for Instance Segmentation

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

YOLOX: Exceeding YOLO Series in 2021

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

YOLO-6D-Pose: Enhancing YOLO for Single-Stage Monocular Multi-Object 6D Pose Estimation


NuDup -- Marks/removes duplicate molecules based on the molecular tagging technology used in Tecan products.

Genomic–transcriptomic evolution in lung cancer and metastasis

Functional characterization of a ‘plant-like’ HYL1 homolog in the cnidarian Nematostella vectensis indicates a conserved involvement in microRNA biogenesis

Cell Type-Specific Oxidative Stress Genomic Signatures in the Globus Pallidus of Dopamine-Depleted Mice

The Journal of neuroscience : the official journal of the Society for Neuroscience

Dynamic antagonism between key repressive pathways maintains the placental epigenome

Multi-omic identification of key transcriptional regulatory programs during endurance exercise training


R-Based API for accessing the MSKCC Cancer Genomics Data Server (CGDS)

PTEN as a Prognostic/Predictive Biomarker in Cancer: An Unfulfilled Promise?

A Comparison of RNA-Seq Results from Paired Formalin-Fixed Paraffin-Embedded and Fresh-Frozen Glioblastoma Tissue Samples

Allele-Specific DNA Methylation and Its Interplay with Repressive Histone Marks at Promoter-Mutant TERT Genes

Epithelial-to-mesenchymal transition and its association with PD-L1 and CD8 in thyroid cancer

Study of the Female Sex Survival Advantage in Melanoma—A Focus on X-Linked Epigenetic Regulators and Immune Responses in Two Cohorts

ToPP: Tumor online prognostic analysis platform for prognostic feature selection and clinical patient subgroup selection

A reported 20-gene expression signature to predict lymph node-positive disease at radical cystectomy for muscle-invasive bladder cancer is clinically not applicable


A set of deep learning models for FRB/RFI binary classification.

FETCH: A deep-learning based classifier for fast transient classification

Faint Repetitions from a Bright Fast Radio Burst Source

Burst timescales and luminosities as links between young pulsars and fast radio bursts

Extremely band-limited repetition from a fast radio burst source

Monthly Notices of the Royal Astronomical Society

Arecibo observations of a burst storm from FRB 20121102A in 2016

A Dual-band Radio Observation of FRB 121102 with the Deep Space Network and the Detection of Multiple Bursts

Comprehensive Analysis of a Dense Sample of FRB 121102 Bursts

Multiwavelength Radio Observations of Two Repeating Fast Radio Burst Sources: FRB 121102 and FRB 180916.J0158+65

Non-detection of fast radio bursts from six gamma-ray burst remnants with possible magnetar engines

Monthly notices of the Royal Astronomical Society

A Deep Targeted Search for Fast Radio Bursts from the Sites of Low-redshift Short Gamma-Ray Bursts


A sybil-resilient distributed learning protocol.

Mitigating Sybils in Federated Learning Poisoning

Privacy Side Channels in Machine Learning Systems

SaFL: Sybil-aware Federated Learning with Application to Face Recognition


A R package and executable for the preprocessing, statistical analysis, and downstream testing and visualization of differentially methylated regions (DMRs) from CpG count matrices (Bismark cytosine reports)

Low-pass whole genome bisulfite sequencing of neonatal dried blood spots identifies a role for RUNX1 in Down syndrome DNA methylation profiles

Imprinting effects of UBE3A loss on synaptic gene networks and Wnt signaling pathways

DNA hypomethylation ameliorates erosive inflammatory arthritis by modulating interferon regulatory factor-8

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

Detection of Modified Histones from Oral Mucosa of a Patient with DYT-KMT2B Dystonia


LogMap: An Ontology Alignment and Alignment Repair System

Logic-based assessment of the compatibility of UMLS ontology sources

Ontology mapping for semantically enabled applications

MELT - Matching EvaLuation Toolkit

Matching disease and phenotype ontologies in the ontology alignment evaluation initiative

Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings

Prediction of adverse biological effects of chemicals using knowledge graph embeddings

Uncertainty in Automated Ontology Matching: Lessons Learned from an Empirical Experimentation

Exploring Wasserstein Distance across Concept Embeddings for Ontology Matching


Set of robotic environments based on PyBullet physics engine and gymnasium.

panda-gym: Open-source goal-conditioned environments for robotic learning

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot.


binned motif enrichment analysis and visualisation

monaLisa: an R/Bioconductor package for identifying regulatory motifs

A unique bipartite Polycomb signature regulates stimulus-response transcription during development

Reorganization of postmitotic neuronal chromatin accessibility for maturation of serotonergic identity


custom resolver

Environmental drivers of under-ice phytoplankton bloom dynamics in the Arctic Ocean

Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom

Bloom termination of the toxic dinoflagellate Alexandrium catenella: Vertical migration behavior, sediment infiltration, and benthic cyst yield

Assessment of holographic microscopy for quantifying marine particle size and concentration

Shifts in Phytoplankton Community Structure Across an Anticyclonic Eddy Revealed From High Spectral Resolution Lidar Scattering Measurements

Plankton Imagery Data Inform Satellite‐Based Estimates of Diatom Carbon

Characterizing coastal phytoplankton seasonal succession patterns on the West Antarctic Peninsula

Length, width, shape regularity, and chain structure: time series analysis of phytoplankton morphology from imagery

A Recirculating Eddy Promotes Subsurface Particle Retention in an Antarctic Biological Hotspot

Imaging Technologies Build Capacity and Accessibility in Phytoplankton Species Identification Expertise for Research and Monitoring: Lessons Learned During the COVID-19 Pandemic


Tor Browser automation with Selenium.

Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection

THREAT/crawl: a Trainable, Highly-Reusable, and Extensible Automated Method and Tool to Crawl Criminal Underground Forums

A Measurement of Genuine Tor Traces for Realistic Website Fingerprinting

Know Your Cybercriminal: Evaluating Attacker Preferences by Measuring Profile Sales on an Active, Leading Criminal Market for User Impersonation at Scale

You Can Tell a Cybercriminal by the Company they Keep: A Framework to Infer the Relevance of Underground Communities to the Threat Landscape


Work with PBRT v4

Neural Network Generalization: The Impact of Camera Parameters

Soft Prototyping Camera Designs for Car Detection Based on a Convolutional Neural Network

A computational observer model of spatial contrast sensitivity: Effects of photocurrent encoding, fixational eye movements, and inference engine

Software-Defined Imaging: A Survey

Simulations of fluorescence imaging in the oral cavity

Accurate smartphone camera simulation using 3D scenes

Using simulation to quantify the performance of automotive perception systems

Orthogonal neural representations support perceptual judgements of natural stimuli


Expectation-Maximization algorithm for Allele-Specific Expression

Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice

Hierarchical Analysis of Multi-mapping RNA-Seq Reads Improves the Accuracy of Allele-specific Expression

Variation in histone configurations correlates with gene expression across nine inbred strains of mice


a general-purpose fuzzer

Evaluating Fuzz Testing

The Art, Science, and Engineering of Fuzzing: A Survey

Not all bytes are equal: Neural byte sieve for fuzzing

Adaptive Grey-Box Fuzz-Testing with Thompson Sampling

Proceedings of the 11th ACM Workshop on Artificial Intelligence and Security

PropFuzz — An IT-security fuzzing framework for proprietary ICS protocols

International Conference on Applied Electronics

P-Fuzz: A Parallel Grey-Box Fuzzing Framework

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Improving Grey-Box Fuzzing by Modeling Program Behavior

Technical Report: Hardening Code Obfuscation Against Automated Attacks


Random Integrators for many-body quantum systems

Improved walker population control for full configuration interaction quantum Monte Carlo

Magnetic impurity in a one-dimensional few-fermion system

Stochastic differential equation approach to understanding the population control bias in full configuration interaction quantum Monte Carlo

Polaron-Depleton Transition in the Yrast Excitations of a One-Dimensional Bose Gas with a Mobile Impurity


DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

sktime: A Unified Interface for Machine Learning with Time Series

The Canonical Interval Forest (CIF) Classifier for Time Series Classification

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study


Wrapper to the eBird API


Source code for ClimateLearn

ClimateLearn: Benchmarking Machine Learning for Weather and Climate Modeling


Code for the in-dev PrediXcan Project

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia


A Privacy-Preserving Framework Based on TensorFlow

FedLab: A Flexible Federated Learning Framework

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation

Zero-knowledge Proof Meets Machine Learning in Verifiability: A Survey

MORSE-STF: A Privacy Preserving Computation System.

Morse-STF: Improved Protocols for Privacy-Preserving Machine Learning


Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Kirchhoff Index as a Measure of Edge Centrality in Weighted Networks: Nearly Linear Time Algorithms

Current Flow Group Closeness Centrality for Complex Networks?

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

Improving information centrality of a node in complex networks by adding edges

Maximizing Influence of Leaders in Social Networks

Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis

RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems

Robust and Practical Solution of Laplacian Equations by Approximate Elimination

Effects of Stubbornness on Opinion Dynamics

On the Ability of Graph Neural Networks to Model Interactions Between Vertices

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement


End-to-end NLP workflows from prototype to production

LatinCy: Synthetic Trained Pipelines for Latin NLP

Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations

COMBO: State-of-the-Art Morphosyntactic Analysis

Multi hash embeddings in spaCy

CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for
  Named Entity Recognition and Relation Extraction


Curated list of open-source quantum software projects.

Noisy intermediate-scale quantum (NISQ) algorithms

OpenQL: A Portable Quantum Programming Framework for Quantum Accelerators

QUBO formulations for the graph isomorphism problem and related problems

Quantum++: A modern C++ quantum computing library

Quantum Computing Toolkit From Nuts and Bolts to Sack of Tools

QAC: Quantum-computing Aided Composition

Playing with a Quantum Computer


DeepCrack: Learning Hierarchical Convolutional Features for Crack Detection

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers

Revealing the Underlying Patterns: Investigating Dataset Similarity, Performance, and Generalization

Automated Grain Boundary (GB) Segmentation and Microstructural Analysis in 347H Stainless Steel Using Deep Learning and Multimodal Microscopy


Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

Efficient Multi-agent Reinforcement Learning by Planning

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning


Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs

Relational Prompt-based Pre-trained Language Models for Social Event
  Detection

Heterogeneous Social Event Detection via Hyperbolic Graph Representations


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

Mastering Diverse Domains through World Models

VideoGPT: Video Generation using VQ-VAE and Transformers

Video Prediction Models as Rewards for Reinforcement Learning

Diffusion Reward: Learning Rewards via Conditional Video Diffusion


re-implementation of googlenet batch normalization

Going Deeper with Convolutions

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

Deep Representation Learning With Part Loss for Person Re-Identification

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

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

One-Shot Fine-Grained Instance Retrieval


Edge-Conditioned Convolutions on Graphs

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Hierarchical Bipartite Graph Convolution Networks

State of the Art and Potentialities of Graph-level Learning

Deep Learning on Attributed Graphs: A Journey from Graphs to Their Embeddings and Back

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Dataset of prompts, synthetic AI generated images, and aesthetic ratings.

Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation

A taxonomy of prompt modifiers for text-to-image generation

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

Detecting Images Generated by Deep Diffusion Models using their Local Intrinsic Dimensionality

HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

Self-Consuming Generative Models with Curated Data Provably Optimize Human Preferences

Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization


Sanity check Variant Call Format (VCF) files.

Expression quantitative trait loci in the developing human brain and their enrichment in neuropsychiatric disorders

The eMERGE genotype set of 83,717 subjects imputed to ~40 million variants genome wide and association with the herpes zoster medical record phenotype.

Variable Effects of PD-Risk Associated SNPs and Variants in Parkinsonism-Associated Genes on Disease Phenotype in a Community-Based Cohort

Mapping microRNA expression quantitative trait loci in the prenatal human brain implicates miR-1908-5p expression in bipolar disorder and other brain-related traits


Open Astronomy Catalog API

The broad-lined Type-Ic supernova SN 2022xxf with extraordinary
  two-humped light curves

Late-time H/He-poor circumstellar interaction in the normal-looking type-Ic supernova SN 2021ocs: an exposed oxygen-magnesium layer and extreme stripping of the progenitor

HAFFET: Hybrid Analytic Flux FittEr for Transients

An archival search for type Ia supernova siblings

Magnetar Flare-driven Bumpy Declining Light Curves in Hydrogen-poor Superluminous Supernovae

Probing the Diversity of Type Ia Supernova Light Curves in the Open Supernova Catalog

Open Astronomy Catalogs API


Codes for papers: 1. Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters (ICML). 2. Less is More: Exploring Simple and Powerful Low-pass Graph Convolutional Network for Recommendation. 3. Self-propagation Graph Neural Network for Recommendation (TKDE).

Self-Propagation Graph Neural Network for Recommendation

IEEE Transactions on Knowledge and Data Engineering

Low-Pass Graph Convolutional Network for Recommendation

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


Football game, discontinued

Google Research Football: A Novel Reinforcement Learning Environment

Recognizing Events in Spatiotemporal Soccer Data

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

Agent-Centric Representations for Multi-Agent Reinforcement Learning

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


pre-process illumina reads

Trimmomatic: a flexible trimmer for Illumina sequence data

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

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

Earth history and the passerine superradiation

A Phylogenomic Perspective on the Radiation of Ray-Finned Fishes Based upon Targeted Sequencing of Ultraconserved Elements (UCEs)

Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera

Investigating Difficult Nodes in the Placental Mammal Tree with Expanded Taxon Sampling and Thousands of Ultraconserved Elements

Ultraconserved Elements Sequencing as a Low-Cost Source of Complete Mitochondrial Genomes and Microsatellite Markers in Non-Model Amniotes

Hidden histories of gene flow in highland birds revealed with genomic markers

Phylogenomic species delimitation in microendemic frogs of the Brazilian Atlantic Forest


R package with motifs for use with chromVAR

Functional inference of gene regulation using single-cell multi-omics

Human microglia maturation is underpinned by specific gene regulatory networks.

A nuclear cAMP microdomain suppresses tumor growth by Hippo pathway inactivation

Abstract 287: A nuclear cAMP microdomain suppresses tumor growth by Hippo Pathway inactivation


A prize winning solution for DFDC challenge

Deepfake detection by human crowds, machines, and machine-informed crowds

UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection

Deepfake Videos in the Wild: Analysis and Detection

High Performance DeepFake Video Detection on CNN-Based with Attention Target-Specific Regions and Manual Distillation Extraction

DefakeHop++: An Enhanced Lightweight Deepfake Detector

Assessment Framework for Deepfake Detection in Real-world Situations

On the Generalization of Deep Learning Models in Video Deepfake Detection

Deepfake Detection with Deep Learning: Convolutional Neural Networks versus Transformers

Unsupervised Multimodal Deepfake Detection Using Intra- and Cross-Modal Inconsistencies

Investigation of ensemble methods for the detection of deepfake face manipulations


COCACOLA: a general framework for binning contigs in metagenomic studies incorporating read COverage, CorrelAtion, sequence COmposition and paired-end read LinkAge

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses


PyTorch Implementation of DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Adaptive Shortcut Debiasing for Online Continual Learning

PECTP: Parameter-Efficient Cross-Task Prompts for Incremental Vision Transformer


Reference-based variant calling pipeline for a pair of phased haplotype assemblies

Semi-automated assembly of high-quality diploid human reference genomes

Curated variation benchmarks for challenging medically relevant autosomal genes

The design and construction of reference pangenome graphs

T2T-YAO: A Telomere-to-telomere Assembled Diploid Reference Genome for Han Chinese

基因组蛋白质组与生物信息学报

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology


DeepHit: A Deep Learning Approach to Survival Analysis with Competing Risks

DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks

THIRTY-SECOND AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTIETH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / EIGHTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

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

Dynamic and interpretable hazard-based models of traffic incident durations

Decoding kinase-adverse event associations for small molecule kinase inhibitors

Neural Fine-Gray: Monotonic neural networks for competing risks

A Large-Scale Neutral Comparison Study of Survival Models on
  Low-Dimensional Data


The NES Music Database: use machine learning to compose music for the Nintendo Entertainment System!

The NES Music Database: A multi-instrumental dataset with expressive performance attributes

A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks


TensorFlow implementation of TabTransformer

Revisiting Deep Learning Models for Tabular Data

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

On Embeddings for Numerical Features in Tabular Deep Learning


Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

A Three-Dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting

International Conference on Big Knowledge

An Long Short-Term Memory Model with Multi-Scale Context Fusion and Attention for Radar Echo Extrapolation


Neural network sequence labeling model

Neural Architectures for Named Entity Recognition

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

International Conference on Computational Linguistics

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


【AAAI'2023 & IJCV】Transferring Vision-Language Models for Visual Recognition: A Classifier Perspective

Revisiting Classifier: Transferring Vision-Language Models for Video Recognition

Cap4Video: What Can Auxiliary Captions Do for Text-Video Retrieval?

Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models


assembly evaluation tool

Towards complete and error-free genome assemblies of all vertebrate species

The Need for a Human Pangenome Reference Sequence

Annual review of genomics and human genetics

High quality assemblies of four indigenous chicken genomes and related functional data resources

High-quality genome assembly of a C. crossoptilon and related functional and genetics data resources


TrajectoryNet: A Dynamic Optimal Transport Network for Modeling Cellular Dynamics

Solving Schrödinger Bridges via Maximum Likelihood

Neural Lagrangian Schrödinger Bridge: Diffusion Modeling for Population Dynamics

Light Schrödinger Bridge

Multi-marginal Schrödinger Bridges with Iterative Reference Refinement


A graphical multivariate lesion-symptom mapping toolbox

Brain Structures and Cognitive Abilities Important for the Self-Monitoring of Speech Errors

Neurobiology of language (Cambridge, Mass.)

The impact of etiology in lesion-symptom mapping – A direct comparison between tumor and stroke

Two types of phonological reading impairment in stroke aphasia

Preoperative plasticity in the functional naming network of patients with left insular gliomas


Graph Clustering Merger

MAGUS: Multiple sequence Alignment using Graph clUStering

Recursive MAGUS: Scalable and accurate multiple sequence alignment

UPP2: fast and accurate alignment of datasets with fragmentary sequences

The Maximum Weight Trace Alignment Merging Problem

HMMerge: an ensemble method for multiple sequence alignment

Large-Scale Multiple Sequence Alignment and the Maximum Weight Trace Alignment Merging Problem

IEEE/ACM transactions on computational biology and bioinformatics


Experiments and data for the paper "When and why vision-language models behave like bags-of-words, and what to do about it?" Oral @ ICLR 2023

SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

Interpretable Diffusion via Information Decomposition

Towards reporting bias in visual-language datasets: bimodal augmentation by decoupling object-attribute association

Diagnosing the Compositional Knowledge of Vision Language Models from a
  Game-Theoretic View


label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

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

Learning from Noisy Labels with Deep Neural Networks: A Survey

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Partial FC: Training 10 Million Identities on a Single Machine


Transfusion: Understanding Transfer Learning for Medical Imaging

SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

Insights on representational similarity in neural networks with canonical correlation

A Survey of Deep Learning for Scientific Discovery

Ecco: An Open Source Library for the Explainability of Transformer Language Models

Meeting of the Association for Computational Linguistics

Selectivity considered harmful: evaluating the causal impact of class selectivity in DNNs

Explainable Clinical Decision Support from Text

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

Syntactic Perturbations Reveal Representational Correlates of Hierarchical Phrase Structure in Pretrained Language Models

Revisiting Hidden Representations in Transfer Learning for Medical Imaging


Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition


Continual reinforcement learning baselines: experiment specifications, implementation of existing methods, and common metrics. Easily extensible to new methods.

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Continual Learning In Environments With Polynomial Mixing Times

Self-Activating Neural Ensembles for Continual Reinforcement Learning

Evaluating Continual Learning on a Home Robot


Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

Unsupervised Aspect-Based Multi-Document Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

DebateSum: A large-scale argument mining and summarization dataset

Autoregressive Knowledge Distillation through Imitation Learning

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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

Less is More for Long Document Summary Evaluation by LLMs

Comparative Opinion Summarization via Collaborative Decoding

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

A Summarization Dataset of Slovak News Articles

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

Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content Retrieval


Modularized Implementation of Deep RL Algorithms in PyTorch

Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations

Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning

PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values

Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks

DAC: The Double Actor-Critic Architecture for Learning Options

Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation

Generalized Off-Policy Actor-Critic

Breaking the Deadly Triad with a Target Network

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning


MultiDoc2Dial: Modeling Dialogues Grounded in Multiple Documents

doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset

Improving Multiple Documents Grounded Goal-Oriented Dialog Systems via Diverse Knowledge Enhanced Pretrained Language Model

Workshop on Document-grounded Dialogue and Conversational Question Answering

Getting Better Dialogue Context for Knowledge Identification by Leveraging Document-level Topic Shift

Blending Reward Functions via Few Expert Demonstrations for Faithful and Accurate Knowledge-Grounded Dialogue Generation


A ready-to-go Python toolbox for seismic data analysis

Removing Noise from the Vertical Component Records of Ocean‐Bottom Seismometers: Results from Year One of the Cascadia Initiative

Bulletin of the Seismological Society of America

Amphibious surface-wave phase-velocity measurements of the Cascadia subduction zone

NoisePy: A New High-Performance Python Tool for Ambient-Noise Seismology

Improving ambient noise cross-correlations in the noisy ocean bottom environment of the Juan de Fuca plate

Numerical comparison of time-, frequency- and wavelet-domain methods for coda wave interferometry

SeisNoise.jl: Ambient Seismic Noise Cross Correlation on the CPU and GPU in Julia


Documentation for dynamic machine learning systems.

Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Reward Reports for Reinforcement Learning

Choices, Risks, and Reward Reports: Charting Public Policy for Reinforcement Learning Systems


Mining CRISPRs in Environmental Datasets

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

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

An Integrated Pipeline for Annotation and Visualization of Metagenomic Contigs

Probing Genomic Aspects of the Multi-Host Pathogen Clostridium perfringens Reveals Significant Pangenome Diversity, and a Diverse Array of Virulence Factors

Meta-analysis of cheese microbiomes highlights contributions to multiple aspects of quality

Diverse virus-encoded CRISPR-Cas systems include streamlined genome editors

gcMeta: a Global Catalogue of Metagenomics platform to support the archiving, standardization and analysis of microbiome data

Moisture Modulates Soil Reservoirs of Active DNA and RNA Viruses

Zenodo (CERN European Organization for Nuclear Research)

Cargo genes of Tn7-like transposons comprise an enormous diversity of defense systems, mobile genetic elements and antibiotic resistance genes

Phylogenomics and comparative genomics of Lactobacillus salivarius, a mammalian gut commensal


VisDA: The Visual Domain Adaptation Challenge

Cycle Self-Training for Domain Adaptation

BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective

SALAD : Source-free Active Label-Agnostic Domain Adaptation for Classification, Segmentation and Detection

Train/Test-Time Adaptation with Retrieval


Hosts the Multiface dataset, which is a multi-view dataset of multiple identities performing a sequence of facial expressions.

Deep Appearance Models for Face Rendering

Mixture of volumetric primitives for efficient neural rendering

MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement

Pixel Codec Avatars

Learning Compositional Radiance Fields of Dynamic Human Heads

Multiface: A Dataset for Neural Face Rendering


Conversion of coarsegrain to atomistic (complete rewrite of the original CG2AT)

Structure, mechanism, and inhibition of Hedgehog acyltransferase

Specific interactions of peripheral membrane proteins with lipids: what can molecular simulations show us?

Peptidoglycan biosynthesis is driven by lipid transfer along enzyme-substrate affinity gradients

Cryo-EM Structures of CusA Reveal a Mechanism of Metal-Ion Export


Cleaning Raw EEG data

Benchmarking cEEGrid and Solid Gel-Based Electrodes to Classify Inattentional Deafness in a Flight Simulator

Adaptable and Robust EEG Bad Channel Detection Using Local Outlier Factor (LOF)

Aging and Complexity Effects on Hemisphere-Dependent Movement-Related Beta Desynchronization during Bimanual Motor Planning and Execution

Transcranial focused ultrasound to human rIFG improves response inhibition through modulation of the P300 onset latency

Resting-state electroencephalographic correlates of cognitive reserve: Moderating the age-related worsening in cognitive function

Alpha Suppression Is Associated with the Tip-of-the-Tongue (TOT) State Whereas Alpha Expression Is Associated with Knowing That One Does Not Know


Generating Interactive Fiction worlds from story plots

Automated Storytelling via Causal, Commonsense Plot Ordering

Bringing Stories Alive: Generating Interactive Fiction Worlds

Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey


A visual simulator for teaching computer architecture using the RISC-V instruction set

A Survey of the RISC-V Architecture Software Support


[ICLR 2023] MultiViz: Towards Visualizing and Understanding Multimodal Models

CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning


Working directory for dynamics learning for experimental robots.

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning

PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos


A repository for explaining feature attributions and feature interactions in deep neural networks.

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

Axiomatic Attribution for Deep Networks

Improving performance of deep learning models with axiomatic attribution priors and expected gradients

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks


HIL-based Augmented ICS (HAI) Security Dataset

A Survey on Industrial Control System Testbeds and Datasets for Security Research

IEEE Communications Surveys and Tutorials

A Machine Learning Approach for Anomaly Detection in Industrial Control Systems Based on Measurement Data

E-SFD: Explainable Sensor Fault Detection in the ICS Anomaly Detection System

Two ICS Security Datasets and Anomaly Detection Contest on the HIL-based Augmented ICS Testbed

MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series

IEEE International Joint Conference on Neural Network

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain

Multivariate Time Series Anomaly Detection with Few Positive Samples

Unsupervised Learning Approach for Anomaly Detection in Industrial Control Systems


A semantic segmentation toolbox based on PyTorch

U-Net: Convolutional Networks for Biomedical Image 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

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

Bag of Tricks for Image Classification with Convolutional Neural Networks


Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

Recent advances and applications of deep learning methods in materials science

Opportunities and Challenges for Machine Learning in Materials Science

Distributed representations of atoms and materials for machine learning

Interdisciplinary Discovery of Nanomaterials Based on Convolutional Neural Networks


Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Clifford Neural Layers for PDE Modeling

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Scalable Transformer for PDE Surrogate Modeling

Geometric Clifford Algebra Networks

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations

Data efficiency and long term prediction capabilities for neural
  operator surrogate models of core and edge plasma codes

CONFIDE: Contextual Finite Differences Modelling of PDEs


Astronomy related procedures in the commercial IDL language

TESS Reveals that the Nearby Pisces-Eridanus Stellar Stream is only 120 Myr Old

The GALAH survey: the data reduction pipeline

Monthly Notices of the Royal Astronomical Society

Evidence of Particle Acceleration in the Superbubble 30 Doradus C with NuSTAR

NuSTAR Observations of G11.2–0.3

Marginalised Normal Regression: Unbiased curve fitting in the presence of x-errors

Gaia FGK benchmark stars: Fundamental Teff and log g of the third version


:rocket: High Performance Linear Algebra OOP

Numerical simulation of the hydrodynamical combustion to strange quark matter in the trapped neutrino regime

Local Community Detection in Dynamic Networks

Not Seeing the Forest for the Trees: Size of the Minimum Spanning Trees (MSTs) Forest and Branch Significance in MST-Based Phylogenetic Analysis

From NoSQL Accumulo to NewSQL Graphulo: Design and utility of graph algorithms inside a BigTable database

IEEE High Performance Extreme Computing Conference

Experimental Evaluation of Multi-Round Matrix Multiplication on MapReduce

Workshop on Algorithm Engineering and Experimentation

DROP: Dimensionality Reduction Optimization for Time Series


TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Efficient Intent Detection with Dual Sentence Encoders

New Intent Discovery with Pre-training and Contrastive Learning

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data


A Nextflow pipeline for NGS variant calling on SARS-CoV-2. From FASTQ files to normalized and annotated VCF files from GATK, BCFtools, LoFreq and iVar.

fastp: an ultra-fast all-in-one FASTQ preprocessor

Twelve years of SAMtools and BCFtools

From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline

A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data

Nextflow enables reproducible computational workflows

LoFreq: a sequence-quality aware, ultra-sensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets

An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

BCFtools/csq: haplotype-aware variant consequences

WhatsHap: fast and accurate read-based phasing

Large-scale analysis of SARS-CoV-2 spike-glycoprotein mutants demonstrates the need for continuous screening of virus isolates


Randomized Dimension Reduction Library

Sparse Principal Component Analysis via Variable Projection

Randomized Dynamic Mode Decomposition

SIAM Journal on Applied Dynamical Systems

Randomized nonnegative matrix factorization

Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization

Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0)


A simple interface to record pulsar's flux density measurements for a large number of papers and perform fitting of spectral models.

pulsar_spectra: A pulsar flux density catalogue and spectrum fitting repository

Spectral analysis of 22 radio pulsars using SKA-Low precursor stations

Single-pulse analysis and average emission characteristics of PSR J1820−0427 from observations made with the MWA and uGMRT


Fuzz test your application using your OpenAPI or Swagger API definition without coding

Automated test generation for REST APIs: no time to rest yet

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Testing RESTful APIs: A Survey

Empirical Comparison of Black-box Test Case Generation Tools for RESTful APIs

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Automated Black-Box Testing of Mass Assignment Vulnerabilities in RESTful APIs

Testing Real-World Healthcare IoT Application: Experiences and Lessons Learned

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

MINER: A Hybrid Data-Driven Approach for REST API Fuzzing


An Open-Source Package for Information Retrieval

Structure-Aware Language Model Pretraining Improves Dense Retrieval on Structured Data

OpenMatch-v2: An All-in-one Multi-Modality PLM-based Information Retrieval Toolkit

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


A Bayesian inference software package for end-to-end fitting and interpretation of electromagnetic transients

On the diversity of magnetar-driven kilonovae

Monthly notices of the Royal Astronomical Society

1100 days in the life of the supernova 2018ibb

Redback: A Bayesian inference software package for electromagnetic transients

A generalized semi-analytic model for magnetar-driven supernovae

Tidal Disruption Events through the Lens of the Cooling Envelope Model


Permafrost models with a Basic Model Interface


ChatArena (or Chat Arena) is a Multi-Agent Language Game Environments for LLMs. The goal is to develop communication and collaboration capabilities of AIs.

Exploring Large Language Models for Communication Games: An Empirical Study on Werewolf

Elo Uncovered: Robustness and Best Practices in Language Model Evaluation

Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization

Target-oriented Proactive Dialogue Systems with Personalization: Problem Formulation and Dataset Curation

Adapting LLM Agents with Universal Feedback in Communication

Prediction-Powered Ranking of Large Language Models

KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation

Learning to Discuss Strategically: A Case Study on One Night Ultimate
  Werewolf

SECURE: Benchmarking Large Language Models for Cybersecurity

The Time Traveler's Guide to Semantic Web Research: Analyzing Fictitious Research Themes in the ESWC "Next 20 Years" Track


Moses, the machine translation system

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Dual Learning for Machine Translation

Findings of the 2016 Conference on Machine Translation

Meeting of the Association for Computational Linguistics

Beyond English-Centric Multilingual Machine Translation

Unsupervised Neural Machine Translation

Population Based Training of Neural Networks

Pay Less Attention with Lightweight and Dynamic Convolutions

Massive Exploration of Neural Machine Translation Architectures

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Structured Attention Networks


Build context-aware reasoning applications

Visual Instruction Tuning

The Rise and Potential of Large Language Model Based Agents: A Survey

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

Reasoning with Language Model Prompting: A Survey

MEGA: Multilingual Evaluation of Generative AI

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings

Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity


KOBAS: a command line tool for identifying significant pathways from genomic data

Taxus yunnanensis genome offers insights into gymnosperm phylogeny and taxol production

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

NMFNA: A Non-negative Matrix Factorization Network Analysis Method for Identifying Modules and Characteristic Genes of Pancreatic Cancer

Full-Length Transcriptome Analysis of Skeletal Muscle of Jiangquan Black Pig at Different Developmental Stages

International Journal of Molecular Sciences


Keras implementation of ShuffleNet V2

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

C3AE: Exploring the Limits of Compact Model for Age Estimation

Unsupervised Eyeglasses Removal in the Wild


Optical and SAR pairing dataset

The QXS-SAROPT Dataset for Deep Learning in SAR-Optical Data Fusion

Advances and Challenges in Multimodal Remote Sensing Image Registration

A Bridge Neural Network-Based Optical-SAR Image Joint Intelligent Interpretation Framework


Ethereum MultiSigWallet

Harvey: A Greybox Fuzzer for Smart Contracts

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

Targeted Greybox Fuzzing with Static Lookahead Analysis

Learning Inputs in Greybox Fuzzing

An Alternative Paradigm for Developing and Pricing Storage on Smart Contract Platforms

IEEE International Conference on Decentralized Applications and Infrastructures


Official implement for ICML2023 paper: "A Closer Look at Self-Supervised Lightweight Vision Transformers"

Masked Autoencoders Are Scalable Vision Learners


A Python wrapper for the Hybrid Genetic Search algorithm for Capacitated Vehicle Routing Problems (HGS-CVRP)

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

PyVRP: A High-Performance VRP Solver Package

Instance-Conditioned Adaptation for Large-scale Generalization of Neural Combinatorial Optimization


Asteroid Thermal Modeling

Predicting the accuracy of asteroid size estimation with data from the Rubin Observatory Legacy Survey of Space and Time

ATM: An open-source tool for asteroid thermal modeling and its application to NEOWISE data


A library for performing coverage guided fuzzing of neural networks

TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing

Black-box Adversarial Sample Generation Based on Differential Evolution

Reducing DNN Properties to Enable Falsification with Adversarial Attacks

International Conference on Software Engineering


PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

ETC: Encoding Long and Structured Inputs in Transformers

LongT5: Efficient Text-To-Text Transformer for Long Sequences

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

mLongT5: A Multilingual and Efficient Text-To-Text Transformer for Longer Sequences

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Document-Level Abstractive Summarization

ALens: An Adaptive Domain-Oriented Abstract Writing Training Tool for Novice Researchers

Efficient Data Generation for Source-grounded Information-seeking
  Dialogs: A Use Case for Meeting Transcripts


Single Image Super-Resolution from Transformed Self-Exemplars (CVPR 2015)

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

The Perception-Distortion Tradeoff

SROBB: Targeted Perceptual Loss for Single Image Super-Resolution

Multi-scale Xception based depthwise separable convolution for single image super-resolution

Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization

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

Attentive Fine-Grained Structured Sparsity for Image Restoration

A Compact High-Quality Image Demosaicking Neural Network for Edge-Computing Devices

Single Image Super-Resolution via CNN Architectures and TV-TV Minimization

Dual Projection Fusion for Reference-Based Image Super-Resolution

Overcoming Distribution Mismatch in Quantizing Image Super-Resolution Networks


[ICLR 2024] Analyzing and Mitigating Object Hallucination in Large Vision-Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

Mitigating Open-Vocabulary Caption Hallucinations


Conditional density estimation tools in python and R with applications to photometric redshifts and likelihood-free cosmological inference

ABC–CDE: Toward Approximate Bayesian Computation With Complex High-Dimensional Data and Limited Simulations

Journal of Computational and Graphical Statistics

(f)RFCDE: Random Forests for Conditional Density Estimation and Functional Data


NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

Neural Architecture Search Survey: A Computer Vision Perspective

NAS-FCOS: Efficient Search for Object Detection Architectures


Remove CCS reads with remnant PacBio adapter sequences and convert outputs to a compressed .fastq (.fastq.gz).

Semi-automated assembly of high-quality diploid human reference genomes

Pangenome-based genome inference allows efficient and accurate genotyping across a wide spectrum of variant classes

The USDA-ARS Ag100Pest Initiative: High-Quality Genome Assemblies for Agricultural Pest Arthropod Research

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

Representing true plant genomes: haplotype-resolved hybrid pepper genome with trio-binning


PSCC-Net: Progressive Spatio-Channel Correlation Network for Image Manipulation Detection and Localization

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

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution


PyTorch Implementation of Adversarial Training for Free!

Adversarial Training for Free!

Fast is better than free: Revisiting adversarial training

Boosting Adversarial Training with Hypersphere Embedding

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Amata: An Annealing Mechanism for Adversarial Training Acceleration

Explaining V1 Properties with a Biologically Constrained Deep Learning Architecture

Dynamic Efficient Adversarial Training Guided by Gradient Magnitude


Learning to Perform Local Rewriting for Combinatorial Optimization

Learning to Delegate for Large-scale Vehicle Routing

Optimizing Nurse Scheduling: A Supply Chain Approach for Healthcare Institutions

RLOR: A Flexible Framework of Deep Reinforcement Learning for Operation Research


Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs


Codes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network

Spatio-Temporal Urban Knowledge Graph Enabled Mobility Prediction

Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax

MobilityDL: A Review of Deep Learning From Trajectory Data

LIMP: Large Language Model Enhanced Intent-aware Mobility Prediction


This is the Pytorch implementation of Universal Style Transfer via Feature Transforms.

Unsupervised Learning of Artistic Styles with Archetypal Style Analysis

Improving Style Transfer with Calibrated Metrics

The Cognition of Audience to Artistic Style Transfer

Quantitative Evaluation of Style Transfer


iCaRL: Incremental Classifier and Representation Learning

Large Scale Incremental Learning

End-to-End 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

Online Prototype Learning for Online Continual Learning

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


Code of ICLR2023 paper "TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding" and ECCV2022 paper "Inverted Pyramid Multi-task Transformer for Dense Scene Understanding"

InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

PanopticPartFormer++: A Unified and Decoupled View for Panoptic Part Segmentation

TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding


Genomic analysis of a parasite invasion: colonization of the Americas by the blood fluke, Schistosoma mansoni

De novo post-SELEX optimization of a G-quadruplex DNA aptamer binding to marine toxin gonyautoxin 1/4

Computational and structural biotechnology journal

Microperimetry Hill of Vision and Volumetric Measures of Retinal Sensitivity

Translational vision science & technology

When is variable importance estimation in species distribution modelling affected by spatial correlation?

Osmolality as a Novel Mechanism Explaining Diet Effects on the Outcome of Infection with a Blood Parasite

Automated Mapping of Water Table for Cranberry Subirrigation Management: Comparison of Three Spatial Interpolation Methods

MuyGPs: Scalable Gaussian Process Hyperparameter Estimation Using Local Cross-Validation

Migration ecology of western gray catbirds

Connecting SDSS central galaxies to their host haloes using total satellite luminosity

Monthly Notices of the Royal Astronomical Society

Genome-Wide Identification of Loci Associated With Phenology-Related Traits and Their Adaptive Variations in a Highbush Blueberry Collection


Language Model based sentences scoring library

Data-to-Text Generation with Iterative Text Editing

PreQuEL: Quality Estimation of Machine Translation Outputs in Advance

Zero-shot hashtag segmentation for multilingual sentiment analysis

Ask to Understand: Question Generation for Multi-hop Question Answering

Small Model and In-Domain Data Are All You Need


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

Universal Self-Adaptive Prompting

Instructing Large Language Models to Identify and Ignore Irrelevant Conditions


A tensorflow implementation of MKR (Multi-task Learning for Knowledge Graph Enhanced Recommendation)

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation

FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings

ACM Transactions on Intelligent Systems and Technology

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy


HOPS: automated detection and authentication of pathogen DNA in archaeological remains

The source of the Black Death in fourteenth-century central Eurasia

Human population dynamics and Yersinia pestis in ancient northeast Asia

Ancient Yersinia pestis and Salmonella enterica genomes from Bronze Age Crete

Equine herpesvirus 4 infected domestic horses associated with Sintashta spoke-wheeled chariots around 4,000 years ago


[ICML 2021] "Graph Contrastive Learning Automated" by Yuning You, Tianlong Chen, Yang Shen, Zhangyang Wang;      [WSDM 2022] "Bringing Your Own View: Graph Contrastive Learning without Prefabricated Data Augmentations" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen

Graph Contrastive Learning with Augmentations

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

Graph Contrastive Learning Automated

Graph Self-supervised Learning with Accurate Discrepancy Learning

State of the Art and Potentialities of Graph-level Learning

Spectral Augmentations for Graph Contrastive Learning


Software package for Hankel structured low-rank approximation

Variable projection methods for approximate (greatest) common divisor computations

Fast and stable modification of the Gauss–Newton method for low‐rank signal estimation

Image space projection for low-rank signal estimation: Modified Gauss-Newton method


The unified repository for few-shot font generation methods. This repository includes FUNIT (ICCV'19), DM-Font (ECCV'20), LF-Font (AAAI'21) and MX-Font (ICCV'21).

Artistic Glyph Image Synthesis via One-Stage Few-Shot Learning

Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts

Few-Shot Font Generation With Weakly Supervised Localized Representations


Flexible Algorithms for Image Registration

A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration

SIAM journal on scientific computing : a publication of the Society for Industrial and Applied Mathematics

Topology-Preserving 3D Image Segmentation Based on Hyperelastic Regularization

An inexact non stationary Tikhonov procedure for large-scale nonlinear ill-posed problems


Fast and Accurate Classification of Sequences using Bloom filters

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters

CoMeta: Classification of Metagenomes Using k-mers


FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting

Transformers in Time Series: A Survey

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

Transformers versus LSTMs for electronic trading


[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation

MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition

Laugh Now Cry Later: Controlling Time-Varying Emotional States of
  Flow-Matching-Based Zero-Shot Text-to-Speech

MaskGCT: Zero-Shot Text-to-Speech with Masked Generative Codec
  Transformer

EmoBox: Multilingual Multi-corpus Speech Emotion Recognition Toolkit and Benchmark

DurFlex-EVC: Duration-Flexible Emotional Voice Conversion with Parallel Generation


A dotplot generator for large chromosomes

Ultra-fast genome comparison for large-scale genomic experiments

Robertsonian Fusion and Centromere Repositioning Contributed to the Formation of Satellite-free Centromeres During the Evolution of Zebras

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata


IslandPath standalone software

Improved genomic island predictions with IslandPath-DIMOB

Microbial genomic island discovery, visualization and analysis

Whole-Genome Sequencing Analysis of Quorum Quenching Bacterial Strain Acinetobacter lactucae QL-1 Identifies the FadY Enzyme for Degradation of the Diffusible Signal Factor

International journal of molecular sciences

Analysis of Genetic Diversity and Antibiotic Options for Clinical Listeria monocytogenes Infections in China


FastONN - Python based open-source GPU implementation for Operational Neural Networks

Self-Organized Operational Neural Networks with Generative Neurons

Global ECG Classification by Self-Operational Neural Networks with Feature Injection

FastONN -- Python based open-source GPU implementation for Operational Neural Networks

Blind Restoration of Real-World Audio by 1D Operational GANs


Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks

PROCEEDINGS OF THE ELEVENTH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'17)

Deep Learning for Sequential Recommendation: Algorithms, Influential Factors, and Evaluations

Deep Learning-Based Sequential Recommender Systems: Concepts, Algorithms, and Evaluations

Comprehensive Empirical Evaluation of Deep Learning Approaches for Session-based Recommendation in E-Commerce