Magic-BLAST, an accurate RNA-seq aligner for long and short reads

Technology dictates algorithms: Recent developments in read alignment

Magic-BLAST, an accurate DNA and RNA-seq aligner for long and short reads


Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803

No Reason for No Supervision: Improved Generalization in Supervised Models

RoPAWS: Robust Semi-supervised Representation Learning from Uncurated Data

Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning


This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Character-Level Language Modeling with Deeper Self-Attention

Code Prediction by Feeding Trees to Transformers


A pytorch wrapper for LF-MMI training and parallel training in Kaldi

Automatic Speech Recognition Benchmark for Air-Traffic Communications

Pkwrap: a PyTorch Package for LF-MMI Training of Acoustic Models

Lattice-Free MMI Adaptation Of Self-Supervised Pretrained Acoustic Models

Quantization of Acoustic Model Parameters in Automatic Speech Recognition Framework

Speech Activity Detection Based on Multilingual Speech Recognition System


轩辕：度小满中文金融对话大模型

Measuring Massive Multitask Language Understanding

XuanYuan 2.0: A Large Chinese Financial Chat Model with Hundreds of Billions Parameters

Datasets for Large Language Models: A Comprehensive Survey

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for Large Language Models

Self-QA: Unsupervised Knowledge Guided Language Model Alignment

CGCE: A Chinese Generative Chat Evaluation Benchmark for General and Financial Domains


Normalizing flows in PyTorch

Masked Autoregressive Flow for Density Estimation

FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models

Neural Spline Flows

Neural Autoregressive Flows

Normalizing Flows on Tori and Spheres

Unconstrained Monotonic Neural Networks

Sum-of-Squares Polynomial Flow

Short-Term Density Forecasting of Low-Voltage Load Using Bernstein-Polynomial Normalizing Flows

Structured Neural Networks for Density Estimation and Causal Inference

Joint Identifiability of Cross-Domain Recommendation via Hierarchical
  Subspace Disentanglement


This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Self Pre-training with Masked Autoencoders for Medical Image Classification and Segmentation

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers

Implicit Anatomical Rendering for Medical Image Segmentation with Stochastic Experts

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN

Token Sparsification for Faster Medical Image Segmentation


This is a project to demonstrate NLP API from LanguageTool for Ukrainian language.

Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

Creating a POS Gold Standard Corpus of Modern Ukrainian

GPT-2 Metadata Pretraining Towards Instruction Finetuning for Ukrainian

Modern Information Technologies in Scientific Research and Educational Activities

Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters

Exploring Word Sense Distribution in Ukrainian with a Semantic Vector Space Model


The Surprisingly ParalleL spArse Tensor Toolkit.

Scalable Tucker Factorization for Sparse Tensors - Algorithms and Discoveries

International Conference on Data Engineering

ALTO: Adaptive Linearized Storage of Sparse Tensors

PROCEEDINGS OF THE 2021 ACM INTERNATIONAL CONFERENCE ON SUPERCOMPUTING, ICS 2021

Parallel Sparse Tensor Decomposition in Chapel

International Parallel and Distributed Processing Symposium


SAM: Sharpness-Aware Minimization (PyTorch)

Sharpness-Aware Minimization for Efficiently Improving Generalization

ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

On the Maximum Hessian Eigenvalue and Generalization

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

Investigating the Impact of Model Misspecification in Neural Simulation-based Inference

A comparative study between vision transformers and CNNs in digital pathology

Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty

Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference


Synaptic Plasticity with Online Reinforcement learning

Embodied Synaptic Plasticity With Online Reinforcement Learning

A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents

Closing the loop between neural network simulators and the OpenAI Gym


Meandering In Networks of Entities to Reach Verisimilar Answers

Deep Learning on Graphs: A Survey

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Aware Conversation Generation with Explainable Reasoning over Augmented Graphs

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Neuro-Symbolic Inductive Logic Programming with Logical Neural Networks

Reinforcement learning on graphs: A survey

To hop or not, that is the question: Towards effective multi-hop reasoning over knowledge graphs

Memory-Enhanced Knowledge Reasoning with Reinforcement Learning

Fact Checking via Path Embedding and Aggregation


A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

Diffusion Models Beat GANs on Image Synthesis

Design Guidelines for Prompt Engineering Text-to-Image Generative Models

Diffusion-based Image Translation using Disentangled Style and Content Representation

Opal: Multimodal Image Generation for News Illustration

3DALL-E: Integrating Text-to-Image AI in 3D Design Workflows


pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

PySBD: Pragmatic Sentence Boundary Disambiguation

Towards Discourse Parsing-inspired Semantic Storytelling

ReAct: A Review Comment Dataset for Actionability (and more)

Web Information Systems Engineering – WISE 2021

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering


Bidirectional Attention Flow for Machine Comprehension

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems

Zero-Shot Estimation of Base Models' Weights in Ensemble of Machine Reading Comprehension Systems for Robust Generalization


RNA secondary structure/sequence profiles for homology search and alignment

VADR: validation and annotation of virus sequence submissions to GenBank

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

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

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling

From microbial community structure to metabolic inference using paprica

Ribovore: ribosomal RNA sequence analysis for GenBank submissions and database curation

Genome assembly and resequencing shed light on evolution, population selection, and sex identification in Vernicia montana


ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

LAION-5B: An open large-scale dataset for training next generation image-text models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Demystifying CLIP Data

MoDE: CLIP Data Experts via Clustering


A multilingual parallel corpus created from translations of the Bible.

Survey of Low-Resource Machine Translation

ParsiNLU: A Suite of Language Understanding Challenges for Persian

Recipes for Adapting Pre-trained Monolingual and Multilingual Models to Machine Translation

Tools for The Production of Analogical Grids and a Resource of N-gram Analogical Grids in 11 Languages

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Machine Translation between Spoken Languages and Signed Languages Represented in SignWriting

Named Entity Annotation Projection Applied to Classical Languages

Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

The EDGeS Diachronic Bible Corpus

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

SignBank+: Multilingual Sign Language Translation Dataset


Gradient boosted models (the old gbm package)

Principles of mRNA targeting via the Arabidopsis m6A-binding protein ECT2

A hierarchical reserving model for reported non-life insurance claims

Prediction of Leaf Wetness Duration Using Geostationary Satellite Observations and Machine Learning Algorithms

Solving Estimating Equations With Copulas

Predicting the Potential Habitat Distribution of Crataegus Pontica C. Koch, Using a Combined Modeling Approach in Lorestan Province

LUC at ComMA-2021 Shared Task: Multilingual Gender Biased and Communal Language Identification without using linguistic features


Haplotype based scans for selection

selscan: An Efficient Multithreaded Program to Perform EHH-Based Scans for Positive Selection

An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

The evolutionary history and genomics of European blackcap migration

Identifying the favored mutation in a positive selective sweep

Prioritizing natural-selection signals from the deep-sequencing genomic data suggests multi-variant adaptation in Tibetan highlanders

selscan 2.0: scanning for sweeps in unphased data

Genomic data as the “hitchhiker's guide” to cattle adaptation: tracking the milestones of past selection in the bovine genome

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

Genomic population structure and local adaptation of the wild strawberry Fragaria nilgerrensis

Population-specific, recent positive directional selection suggests adaptation of human male reproductive genes to different environmental conditions


The Polygenic and Monogenic Basis of Blood Traits and Diseases

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Loss-of-function genomic variants highlight potential therapeutic targets for cardiovascular disease

Large-scale meta-analysis highlights the hypothalamic–pituitary–gonadal axis in the genetic regulation of menstrual cycle length

Genome-wide meta-analysis of iron status biomarkers and the effect of iron on all-cause mortality in HUNT

Mapping of susceptible variants for cold medicine-related Stevens–Johnson syndrome by whole-genome resequencing


Creative Commons Attribution 4.0 International

The Software Overlay TG will specify the requirements for the software overlay feature, both from the FW manager  engine and from toolchain aspects, all which will be based on the current RISC-V ISA and extensions.


Diffusion Models for Video Prediction and Infilling

On Uni-Modal Feature Learning in Supervised Multi-Modal Learning

Performance Evaluation of Action Recognition Models on Low Quality Videos

Similarity contrastive estimation for image and video soft contrastive self-supervised learning

Efficient Attention-free Video Shift Transformers


Ultrafast consensus module for raw de novo genome assembly of long uncorrected reads

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Deciphering the Multi-Chromosomal Mitochondrial Genome of Populus simonii

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

The Torreya grandis genome illuminates the origin and evolution of gymnosperm-specific sciadonic acid biosynthesis

ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads

De novo genome assembly of the medicinal plant Gentiana macrophylla provides insights into the genomic evolution and biosynthesis of iridoids

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

MrHAMER yields highly accurate single molecule viral sequences enabling analysis of intra-host evolution

Chromosome-level genome assembly of Amomum tsao-ko provides insights into the biosynthesis of flavor compounds

High-quality genome assembly of Metaphire vulgaris

Complete genome sequences and comparative secretomic analysis for the industrially cultivated edible mushroom Lyophyllum decastes reveals insights on evolution and lignocellulose degradation potential


Kinship (genetic relatedness) using GBS (genotyping-by-sequencing) with Depth adjustment

Developing Successful Breeding Programs for New Zealand Aquaculture: A Perspective on Progress and Future Genomic Opportunities

Genomic signatures of inbreeding in a critically endangered parrot, the kākāpō

Exclusion and Genomic Relatedness Methods for Assignment of Parentage Using Genotyping-by-Sequencing Data

Application of Low Coverage Genotyping by Sequencing in Selectively Bred Arctic Charr (Salvelinus alpinus)

Divergent Genomic Selection for Herbage Accumulation and Days-To-Heading in Perennial Ryegrass

Population Connectivity and Traces of Mitochondrial Introgression in New Zealand Black-Billed Gulls (Larus bulleri)

Using genotyping‐by‐sequencing to predict gender in animals


Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

The PyTorch-Kaldi Speech Recognition Toolkit

TorchAudio: Building Blocks for Audio and Speech Processing

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder


An application for streaming one or more LSL streams to disk in XDF file format.

Pocketable Labs for Everyone: Synchronized Multi-Sensor Data Streaming and Recording on Smartphones with the Lab Streaming Layer

Investigating the attentional focus to workplace-related soundscapes in a complex audio-visual-motor task using EEG

NeuMa - the absolute Neuromarketing dataset en route to an holistic understanding of consumer behaviour

Synchronization of ear-EEG and audio streams in a portable research hearing device

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study

Effects of Intermittent Hypoxia and Electrical Muscle Stimulation on Cognitive and Physiological Metrics


An open data collection and source catalog for gamma-ray astronomy

The H.E.S.S. Galactic plane survey

Gamma-sky.net: Portal to the gamma-ray sky

A data-driven evaluation of Fermi-LAT extrapolation schemes to the VHE regime.

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Gammapy: present status and future roadmap


Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)

Publications of the Astronomical Society of the Pacific

VBBINARYLENSING: a public package for microlensing light-curve computation

Monthly notices of the Royal Astronomical Society

ROME/REA: A Gravitational Microlensing Search for Exoplanets Beyond the Snow Line on a Global Network of Robotic Telescopes

Measuring the Microlensing Parallax from Various Space Observatories

A public code for astrometric microlensing with contour integration

Monthly Notices of the Royal Astronomical Society

Reconciling the Predictions of Microlensing Analysis with Radial Velocity Measurements for OGLE-2011-BLG-0417

Confirmation of the Stellar Binary Microlensing Event, Macho 97-BLG-28


Epistemic Neural Networks

The Neural Testbed: Evaluating Joint Predictions

Approximate Thompson Sampling via Epistemic Neural Networks

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping

Fine-Tuning Language Models via Epistemic Neural Networks

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

Evaluating High-Order Predictive Distributions in Deep Learning

Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization


[DEPRECATED] Security Scanner for Ethereum Smart Contracts

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Detecting nondeterministic payment bugs in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

A security framework for Ethereum smart contracts

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

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

The Good, The Bad and The Ugly: Pitfalls and Best Practices in Automated Sound Static Analysis of Ethereum Smart Contracts

Leveraging Applications of Formal Methods

HoRStify: Sound Security Analysis of Smart Contracts


:dancer: :palm_tree: LYVE-SET, a method of using hqSNPs to create a phylogeny, especially for outbreak investigations

A Comparative Analysis of the Lyve-SET Phylogenomics Pipeline for Genomic Epidemiology of Foodborne Pathogens

Characterization of Emetic and Diarrheal Bacillus cereus Strains From a 2016 Foodborne Outbreak Using Whole-Genome Sequencing: Addressing the Microbiological, Epidemiological, and Bioinformatic Challenges

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Genomic Analysis of a Pan-Resistant Isolate of Klebsiella pneumoniae, United States 2016

Protracted Outbreak of Salmonella Newport Infections Linked to Ground Beef: Possible Role of Dairy Cows — 21 States, 2016–2017

MMWR. Morbidity and mortality weekly report

Cronobacter sakazakii Infections in Two Infants Linked to Powdered Infant Formula and Breast Pump Equipment — United States, 2021 and 2022

Use of whole genome sequencing to complement characterisation of a typhoid fever outbreak among a Marshallese community: Oklahoma, 2015

Bacterial Whole Genome Sequencing inInvestigation of Salmonella OranienburgInfection Outbreak, Missouri, USA


Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

Speed of technological transformations required in Europe to achieve different climate goals

Endogenous learning for green hydrogen in a sector-coupled energy model for Europe

Cost and Efficiency Requirements for Successful Electricity Storage in a Highly Renewable European Energy System

Distributed photovoltaics provides key benefits for a highly renewable European energy system

The Value of Competing Energy Storage in Decarbonized Power Systems


Industrial Benchmark

Deep Reinforcement Learning: An Overview

Learning and Policy Search in Stochastic Dynamical Systems with Bayesian Neural Networks

Interpretable Policies for Reinforcement Learning by Genetic Programming

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

A Benchmark Environment Motivated by Industrial Control Problems

IEEE Symposium Series on Computational Intelligence

Comparing Model-free and Model-based Algorithms for Offline Reinforcement Learning

Generating interpretable fuzzy controllers using particle swarm optimization and genetic programming

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Batch reinforcement learning on the industrial benchmark: First experiences

International Joint Conference on Neural Network

User-Interactive Offline Reinforcement Learning

Introduction to the "Industrial Benchmark"


Library for fast text representation and extreme classification.

Enriching Word Vectors with Subword Information

Bag of Tricks for Efficient Text Classification

FastText.zip: Compressing text classification models

AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification

A no-regret generalization of hierarchical softmax to extreme multi-label classification

Probabilistic Label Trees for Extreme Multi-label Classification


Open-source evaluation toolkit of large vision-language models (LVLMs), support ~100 VLMs, 40+ benchmarks

MMBench: Is Your Multi-modal Model an All-around Player?

SEED-Bench-2: Benchmarking Multimodal Large Language Models

When Do We Not Need Larger Vision Models?

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension

MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding

VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal
  Dataset with One Trillion Tokens

GMAI-MMBench: A Comprehensive Multimodal Evaluation Benchmark Towards General Medical AI

xGen-MM (BLIP-3): A Family of Open Large Multimodal Models

Rethinking Overlooked Aspects in Vision-Language Models


Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

From ERA-Interim to ERA5: considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations

Long-range transport of volcanic aerosol from the 2010 Merapi tropical eruption to Antarctica

Improved estimation of volcanic SO2 injections from satellite retrievals and Lagrangian transport simulations: the 2019 Raikoke eruption

Improved estimation of volcanic SO 2 injections from satellite observations and Lagrangian transport simulations: the 2019 Raikoke eruption

Regional and seasonal truncation errors of trajectory calculationsusing ECMWF high-resolution operational analyses and forecasts


Python library to generate linked OpenDRIVE and OpenSCENARIO files

One Ontology to Rule Them All: Corner Case Scenarios for Autonomous Driving

Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad


Battery evaluation and early prediction

Principles of the Battery Data Genome


Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Model-based Asynchronous Hyperparameter and Neural Architecture Search

PASHA: Efficient HPO and NAS with Progressive Resource Allocation

Optimizing Hyperparameters with Conformal Quantile Regression

Pseudo-Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Multi-objective Differentiable Neural Architecture Search


ZMapv6: Internet Scanner with IPv6 capabilities

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

Rusty Clusters? Dusting an IPv6 Research Foundation

Proceedings of the 22nd ACM Internet Measurement Conference

From Single Lane to Highways: Analyzing the Adoption of Multipath TCP in the Internet

IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation

Characterizing the VPN Ecosystem in the Wild

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

Target Acquired? Evaluating Target Generation Algorithms for IPv6

IPv6 Hitlists at Scale: Be Careful What You Wish For

A Longitudinal View at the Adoption of Multipath TCP

Glowing in the Dark Uncovering IPv6 Address Discovery and Scanning Strategies in the Wild


DPDK based packet generator

MoonGen: A Scriptable High-Speed Packet Generator

Automatic Parallelization of Software Network Functions

Concury: A Fast and Light-weighted Software Load Balancer


FedScale is a scalable and extensible open-source federated learning (FL) platform.

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Recent Advances on Federated Learning: A Systematic Survey

FLINT: A Platform for Federated Learning Integration


mzmine source code repository

Comparison of Cosine, Modified Cosine, and Neutral Loss Based Spectrum Alignment For Discovery of Structurally Related Molecules

Evaluation of Data-Dependent MS/MS Acquisition Parameters for Non-Targeted Metabolomics and Molecular Networking of Environmental Samples: Focus on the Q Exactive Platform

On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging


A toolbox of vision models and algorithms based on MindSpore

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Xception: Deep Learning with Depthwise Separable Convolutions


MLGB is a library that includes many models of CTR Prediction & Recommender System by TensorFlow & PyTorch. MLGB是一个包含50+点击率预估和推荐系统深度模型的、通过TensorFlow和PyTorch撰写的库。

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Factorization Machines

An Overview of Multi-Task Learning in Deep Neural Networks

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks

Self-Attentive Sequential Recommendation

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer


KnowBert -- Knowledge Enhanced Contextual Word Representations

TuckER: Tensor Factorization for Knowledge Graph Completion

Empirical Methods in Natural Language Processing

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation

E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT

Neural Entity Linking: A Survey of Models Based on Deep Learning

Pre-train or Annotate? Domain Adaptation with a Constrained Budget

Metadata Shaping: A Simple Approach for Knowledge-Enhanced Language Models

Findings of the Association for Computational Linguistics: ACL 2022


How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

Boundary loss for highly unbalanced segmentation

A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation

Shape-Aware Complementary-Task Learning for Multi-Organ Segmentation

A Novel Boundary Loss Function in Deep Convolutional Networks to Improve the Buildings Extraction From High-Resolution Remote Sensing Images

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

Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation

Shape constrained CNN for segmentation guided prediction of myocardial shape and pose parameters in cardiac MRI


Mode Connectivity and Fast Geometric Ensembles in PyTorch

Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Improving Generalization in Federated Learning by Seeking Flat Minima

Directional Pruning of Deep Neural Networks

Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks

Collective Learning by Ensembles of Altruistic Diversifying Neural Networks


MATLAB Hyperspectral Toolbox

DLR HySU - A Benchmark Dataset for Spectral Unmixing

Subspace-Based Preprocessing Module for Fast Hyperspectral Endmember Selection

Quaternion Processing Techniques for Color Synthesized NDT Thermography

Unsupervised Identification of Targeted Spectra Applying Rank1-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery

Geometric- and Optimization-Based Registration Methods for Long-Wave Infrared Hyperspectral Images


This repo provides code and data used in our TANDA paper.

TANDA: Transfer and Adapt Pre-Trained Transformer Models for Answer Sentence Selection

Early Exiting BERT for Efficient Document Ranking

The Cascade Transformer: an Application for Efficient Answer Sentence Selection

Will this Question be Answered? Question Filtering via Answer Model Distillation for Efficient Question Answering

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

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

Question-Answer Sentence Graph for Joint Modeling Answer Selection


MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)

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

On the Evaluation of Conditional GANs

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators


A linear estimator on top of clip to predict the aesthetic quality of pictures

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Control-A-Video: Controllable Text-to-Video Generation with Diffusion Models

ControlStyle: Text-Driven Stylized Image Generation Using Diffusion Priors

Mora: Enabling Generalist Video Generation via A Multi-Agent Framework

Personalizing Text-to-Image Generation via Aesthetic Gradients

Dual3D: Efficient and Consistent Text-to-3D Generation with Dual-mode
  Multi-view Latent Diffusion

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection


3D massively parallel general relativictic MHD code HARMPI

The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project

The Astrophysical Journal Supplement Series

Long-term GRMHD simulations of neutron star merger accretion discs: implications for electromagnetic counterparts

Monthly notices of the Royal Astronomical Society

The disc-jet symbiosis emerges: Modelling the emission of Sagittarius A* with electron thermodynamics

The role of magnetic field geometry in the evolution of neutron star merger accretion discs

Accelerating AGN jets to parsec scales using general relativistic MHD simulations

Sgr A* near-infrared flares from reconnection events in a magnetically arrested disc

EM counterparts of structured jets from 3D GRMHD simulations

Monthly Notices of the Royal Astronomical Society: Letters

General-relativistic Simulations of Four States of Accretion onto Millisecond Pulsars

A parameter survey of Sgr A* radiative models from GRNIHD simulations with self-consistent electron heating

What really makes an accretion disc MAD


Official PyTorch implementation of Video Probabilistic Diffusion Models in Projected Latent Space (CVPR 2023).

Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Compositional Foundation Models for Hierarchical Planning


Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection

TAGPRIME: A Unified Framework for Relational Structure Extraction

Segmenting Natural Language Sentences via Lexical Unit Analysis

Knowledge-Driven Slot Constraints for Goal-Oriented Dialogue Systems

North American Chapter of the Association for Computational Linguistics


CROWN: A Neural Network Verification Framework for Networks with General Activation Functions

Intriguing properties of neural networks

Certified Adversarial Robustness via Randomized Smoothing

Efficient Neural Network Robustness Certification with General Activation Functions

Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations


treeWAS: A Phylogenetic Tree-Based Tool for Genome-Wide Association Studies in Microbes

A phylogenetic method to perform genome-wide association studies in microbes that accounts for population structure and recombination

A comprehensive analysis of genetic diversity of EBV reveals potential high-risk subtypes associated with nasopharyngeal carcinoma in China

Genetic variants linked to the phenotypic outcome of invasive disease and carriage of Neisseria meningitidis


DrQ: Data regularized Q

Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

State Entropy Maximization with Random Encoders for Efficient Exploration

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

Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning

Revisiting Data Augmentation in Deep Reinforcement Learning


Automatically exported from code.google.com/p/jmodeltest2

The first two cases of 2019-nCoV in Italy: Where they come from?

Evolutionary Analysis of SARS-2-CoV: How Mutation of Non-Structural Protein 6 (NSP6) Could Affect Viral Autophagy

The global spread of 2019-nCoV: a molecular evolutionary analysis

Genomic Epidemiology Reconstructs the Introduction and Spread of Zika Virus in Central America and Mexico

Global radiation in a rare biosphere soil diatom

A doubt of multiple introduction of SARS‐CoV‐2 in Italy: A preliminary overview

Distinct Zika Virus Lineage in Salvador, Bahia, Brazil

The Pacific Rat Race to Easter Island: Tracking the Prehistoric Dispersal of Rattus exulans Using Ancient Mitochondrial Genomes

Substitutions near the HA receptor binding site explain the origin and major antigenic change of the B/Victoria and B/Yamagata lineages

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

Genetic Evidence and Host Immune Response in Persons Reinfected with SARS-CoV-2, Brazil


Metaphor classification for verbs and content words

A Report on the 2018 VUA Metaphor Detection Shared Task

A Report on the 2020 VUA and TOEFL Metaphor Detection Shared Task

Meeting of the Association for Computational Linguistics

Semantic classifications for detection of verb metaphors

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

A Corpus of Non-Native Written English Annotated for Metaphor

An analysis of language models for metaphor recognition

International Conference on Computational Linguistics

MIss RoBERTa WiLDe: Metaphor Identification Using Masked Language Model with Wiktionary Lexical Definitions


Explore and share your scRNAseq clustering results

Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations

Developmental Emergence of Adult Neural Stem Cells as Revealed by Single-Cell Transcriptional Profiling

scClustViz – Single-cell RNAseq cluster assessment and visualization


Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

U-Net: Convolutional Networks for Biomedical Image Segmentation

Image-to-Image Translation with Conditional Adversarial Networks

Conditional Generative Adversarial Nets


[ECCV2020] a toolbox of light-reid learning for faster inference, speed both feature extraction and retrieval stages up to >30x

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

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification

Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification

Faster Person Re-Identification


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

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

Resource Management in Edge and Fog Computing using FogBus2 Framework

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


An R package for acquisition and processing of NASA SMAP data


A collection of scripts for processing fastq files in ways to improve de novo transcriptome assemblies, and for evaluating those assemblies.

Comparative analysis of morabine grasshopper genomes reveals highly abundant transposable elements and rapidly proliferating satellite DNA repeats

Horizontal transmission enables flexible associations with locally adapted symbiont strains in deep-sea hydrothermal vent symbioses

Conditional stomatal closure in a fern shares molecular features with flowering plant active stomatal responses

The Evolution of Sox Gene Repertoires and Regulation of Segmentation in Arachnids

Transcriptome Profiling and Functional Validation of RING-Type E3 Ligases in Halophyte Sesuvium verrucosum under Salinity Stress

International journal of molecular sciences

Signatures of adaptive evolution in platyrrhine primate genomes

(Un)expected Similarity of the Temporary Adhesive Systems of Marine, Brackish, and Freshwater Flatworms

Zenodo (CERN European Organization for Nuclear Research)

Transcriptomics of mussel transmissible cancer MtrBTN2 suggests accumulation of multiple cancer traits and oncogenic pathways shared among bilaterians

De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery

De novo transcriptome assembly of the oak processionary moth Thaumetopoea processionea


Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data

R3M: A Universal Visual Representation for Robot Manipulation

VideoDex: Learning Dexterity from Internet Videos

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning

Structured World Models from Human Videos

Compositional Foundation Models for Hierarchical Planning

Learning and Retrieval from Prior Data for Skill-based Imitation Learning

Spatiotemporal Predictive Pre-training for Robotic Motor Control


Get started with CORD-19

CORD-19: The COVID-19 Open Research Dataset

Text mining approaches for dealing with the rapidly expanding literature on COVID-19

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation

A Survey for Biomedical Text Summarization: From Pre-trained to Large Language Models

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture

Exploring the evolution of research topics during the COVID-19 pandemic


Face Liveness Detection (Face Anti Spoofing) Server SDK

Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection

Learning One Class Representations for Face Presentation Attack Detection using Multi-channel Convolutional Neural Networks

Improving Face Anti-Spoofing by 3D Virtual Synthesis

Multi-domain Learning for Updating Face Anti-spoofing Models

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

Bi-FPNFAS: Bi-Directional Feature Pyramid Network for Pixel-Wise Face Anti-Spoofing by Leveraging Fourier Spectra

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing with Statistical Tokens

SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection
  with Multimodal Large Language Models

A Personalized Benchmark for Face Anti-spoofing

2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)

Suppress and Rebalance: Towards Generalized Multi-Modal Face
  Anti-Spoofing


An alternative to convolution in neural networks

Escaping the Big Data Paradigm with Compact Transformers

Patches Are All You Need?

Exploring the Sharpened Cosine Similarity

SCS-Net: An efficient and practical approach towards Face Mask Detection


PHESANT - PHEnome Scan ANalysis Tool (pheWAS, Mendelian randomisation (MR)-pheWAS etc.) in UK Biobank

Recent Developments in Mendelian Randomization Studies

Rare variant contribution to human disease in 281,104 UK Biobank exomes

PHESANT: a tool for performing automated phenome scans in UK Biobank

Phenotypic effects of genetic variants associated with autism

Polygenic risk score-based phenome-wide association study identifies novel associations for Tourette syndrome

Longitudinal microstructural changes in 18 amygdala nuclei resonate with cortical circuits and phenomics


An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

Cross-Modal Discrete Representation Learning

Exposing the Limits of Video-Text Models through Contrast Sets

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

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models

TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter


mocca survey data base– i. Dissolution of tidally filling star clusters harbouring black hole subsystems

A supra-massive population of stellar-mass black holes in the globular cluster Palomar 5

Complete ejection of OB stars from very young star clusters and the formation of multiple populations

Accelerated orbital decay of supermassive black hole binaries in merging nuclear star clusters

A MODEST review


Stochastic Gradient Push for Distributed Deep Learning

Deep Residual Learning for Image Recognition

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

Asynchronous Decentralized Parallel Stochastic Gradient Descent


Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models


Repo about neural networks for images handling

Densely Connected Convolutional Networks

Knowledge Distillation with Feature Maps for Image Classification

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning


MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository  Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

From Distillation to Hard Negative Sampling: Making Sparse Neural IR Models More Effective

Interpretable & Time-Budget-Constrained Contextualization for Re-Ranking

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

Neural Passage Retrieval with Improved Negative Contrast

Ultra-High Dimensional Sparse Representations with Binarization for Efficient Text Retrieval

Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval

A Unified Pretraining Framework for Passage Ranking and Expansion

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


A Massively Parallel FFT Library for CPU/GPU

AccFFT: A library for distributed-memory FFT on CPU and GPU architectures

CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration

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

Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

CLAIRE -- Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications


:deciduous_tree: Create a tree using Mash distances

Evaluation of strategies for the assembly of diverse bacterial genomes using MinION long-read sequencing

Genetic diversity and characteristics of high-level tigecycline resistance Tet(X) in Acinetobacter species

When the levee breaks: a practical guide to sketching algorithms for processing the flood of genomic data

Immunosuppression broadens evolutionary pathways to drug resistance and treatment failure during Acinetobacter baumannii pneumonia in mice

Isolation and Characterisation of Bacteriophage Selective for Key Acinetobacter baumannii Capsule Chemotypes

Whole genome sequence of Vibrio cholerae directly from dried spotted filter paper

Fine-scale differentiation between Bacillus anthracis and Bacillus cereus group signatures in metagenome shotgun data

Detection of maternal transmission of resistant Gram-negative bacteria in a Cambodian hospital setting

Enteropathogenic Providencia alcalifaciens: A Subgroup of P. alcalifaciens That Causes Diarrhea


Bridging LLM and Recommender System.

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

RecExplainer: Aligning Large Language Models for Recommendation Model Interpretability

RecAI: Leveraging Large Language Models for Next-Generation Recommender Systems

Aligning Language Models for Versatile Text-based Item Retrieval


Git repository for FASTA36 sequence comparison software

Query-seeded iterative sequence similarity searching improves selectivity 5–20-fold

Comment on “Conserved phylogenetic distribution and limited antibiotic resistance of class 1 integrons revealed by assessing the bacterial genome and plasmid collection” by A.N. Zhang et al.

Ramosin: The First Antibacterial Peptide Identified on Bolitoglossa ramosi Colombian Salamander

GenomeBits insight into omicron and delta variants of coronavirus pathogen

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy


Nonlinear measures for dynamical systems (based on one-dimensional time series)

Android Malware Family Classification Based on Resource Consumption over Time

Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

AndroDFA: Android Malware Classification Based on Resource Consumption

Comprehensive HRV estimation pipeline in Python using Neurokit2: Application to sleep physiology

On Lyapunov exponents and adversarial perturbation

Learning Non-Vacuous Generalization Bounds from Optimization


APPS: Automated Programming Progress Standard (NeurIPS 2021)

Measuring Mathematical Problem Solving With the MATH Dataset

Holistic Evaluation of Language Models

Measuring Coding Challenge Competence With APPS

Planning with Large Language Models for Code Generation

PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Less is More: Summary of Long Instructions is Better for Program Synthesis

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions

Deep Learning Based Code Generation Methods: A Literature Review

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


Protein Residue-Residue Contacts from Correlated Mutations predicted quickly and accurately.

Applications of contact predictions to structural biology

Prediction of Structures and Interactions from Genome Information

INTEGRATIVE STRUCTURAL BIOLOGY WITH HYBRID METHODS

Ensemble Learning with Supervised Methods Based on Large-Scale Protein Language Models for Protein Mutation Effects Prediction


fast library for ANN search and KNN graph construction

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

EFANNA : An Extremely Fast Approximate Nearest Neighbor Search Algorithm Based on kNN Graph

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Fast Approximate Nearest Neighbor Search With Navigating Spreading-out Graphs

A Revisit on Deep Hashings for Large-scale Content Based Image Retrieval

Fast Approximate Nearest Neighbor Search with a Dynamic Exploration Graph using Continuous Refinement

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings


KFF Data on Coronavirus

How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19

Differential Impact of COVID-19 Risk Factors on Ethnicities in the United States

The efficiency of COVID cases to COVID policies: a robust conditional approach

The effectiveness of COVID deaths to COVID policies: A robust conditional approach

Predicting COVID-19 county-level case number trend by combining demographic characteristics and social distancing policies


Attention Is All You Need

Online Distilling from Checkpoints for Neural Machine Translation

Correct-and-Memorize: Learning to Translate from Interactive Revisions


Multi-modal features toolkit in Python

Learning Multimodal Word Representation via Dynamic Fusion Methods

Speaking, Seeing, Understanding: Correlating semantic models with conceptual representation in the brain

Empirical Methods in Natural Language Processing

Bridging Languages through Images with Deep Partial Canonical Correlation Analysis

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

MMFeat: A Toolkit for Extracting Multi-Modal Features

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS

Investigating Inner Properties of Multimodal Representation and Semantic Compositionality with Brain-based Componential Semantics

Visual Denotations for Recognizing Textual Entailment

Investigating Rich Feature Sources for Conceptual Representation Encoding

Workshop on Cognitive Aspects of the Lexicon

Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment


Combine images made with different resolutions, including the "feathering" technique for interferometry data.

Distributed Star Formation throughout the Galactic Center Cloud Sgr B2

Kinematics of the atomic ISM in M33 on 80 pc scales

Monthly notices of the Royal Astronomical Society

The MUSTANG Galactic Plane Survey (MGPS90) Pilot

The Astrophysical Journal Supplement Series

A lack of constraints on the cold opaque Hi mass: Hi spectra in M31 and M33 prefer multicomponent models over a single cold opaque component

Monthly Notices of the Royal Astronomical Society

Relationship between the line width of the atomic and molecular ISM in M33

FEASTS: IGM Cooling Triggered by Tidal Interactions through the Diffuse H i Phase around NGC 4631

ALMA-IMF. VIII. Combination of Interferometric Continuum Images with Single-dish Surveys and Structural Analysis of Six Protoclusters

Synthetic Next Generation Very Large Array line observations of a massive star-forming cloud

FEASTS Combined with Interferometry (I): Overall Properties of Diffuse
  HI and Implications for Gas Accretion in Nearby Galaxies

Filaments in the OMC-3 cloud and uncertainties in estimates of filament profiles


A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Factorization Machines

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

Deep & Cross Network for Ad Click Predictions

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction


District heating system optimisation and simulation models

District-Heating-Grid Simulation in Python: DiGriPy


FinancialVision

Explainable Deep Convolutional Candlestick Learner

Data Augmentation for Deep Candlestick Learner

Adversarial Robustness of Deep Convolutional Candlestick Learner


PESQ (Perceptual Evaluation of Speech Quality) Wrapper for Python Users (narrow band and wide band)

TorchAudio: Building Blocks for Audio and Speech Processing

BigVGAN: A Universal Neural Vocoder with Large-Scale Training

On the Compensation Between Magnitude and Phase in Speech Separation

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation

Investigating Self-Supervised Learning for Speech Enhancement and Separation

Unsupervised Speech Enhancement Using Dynamical Variational Autoencoders

Speech Denoising Without Clean Training Data: A Noise2Noise Approach

Atss-Net: Target Speaker Separation via Attention-based Neural Network

STFT-Domain Neural Speech Enhancement With Very Low Algorithmic Latency

Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation


⛔ DEPRECATED <Python Framework for Reproducible Deep Learning Experiments>

DeepDIVA: A Highly-Functional Python Framework for Reproducible Experiments

Offline Signature Verification by Combining Graph Edit Distance and Triplet Networks

STRUCTURAL, SYNTACTIC, AND STATISTICAL PATTERN RECOGNITION, S+SSPR 2018

Are You Tampering With My Data?


Tools for conducting and parsing web search

Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search

Searching for Representation: A sociotechnical audit of googling for members of U.S. Congress

Googling for Abortion: Search Engine Mediation of Abortion Accessibility in the United States

Journal of Quantitative Description: Digital Media


This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).


Implementation of the Jubjub elliptic curve group

Citadel: Self-Sovereign Identities on Dusk Network

LinkDID: A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme


Tools for analyzing changes in diversity across scales

Embracing scale-dependence to achieve a deeper understanding of biodiversity and its change across communities

MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change

A multiscale framework for disentangling the roles of evenness, density, and aggregation on diversity gradients


A transients-discovery pipeline for astronomical image-based surveys

The LOFAR Transients Pipeline

The ASKAP/EMU Source Finding Data Challenge

Publications of the Astronomical Society of Australia

The AARTFAAC All Sky Monitor: System Design and Implementation

The Arcminute Microkelvin Imager catalogue of gamma-ray burst afterglows at 15.7 GHz

A pilot ASKAP survey of radio transient events in the region around the intermittent pulsar PSR J1107−5907

PySE: Software for extracting sources from radio images

LOFAR early-time search for coherent radio emission from GRB 180706A

VaST: a variability search toolkit

Long-term study of extreme giant pulses from PSR B0950+08 with AARTFAAC

KERN


Compute FID scores with PyTorch.

Contrastive Learning for Unpaired Image-to-Image Translation

Are GANs Created Equal? A Large-Scale Study

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow


viral-ngs: complete pipelines

Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

Intrathecal inflammatory responses in the absence of SARS-CoV-2 nucleic acid in the CSF of COVID-19 hospitalized patients

Rapid repeat infection of SARS-CoV-2 by two highly distinct delta-lineage viruses

Rapid Lineage Assignment of Severe Acute Respiratory Syndrome Coronavirus 2 Cases through Automated Library Preparation, Sequencing, and Bioinformatic Analysis

The Journal of molecular diagnostics : JMD

Severe COVID-19 is associated with fungal colonization of the nasopharynx and potent induction of IL-17 responses in the nasal epithelium

medRxiv : the preprint server for health sciences


A Neural Machine Translation toolkit for research purpose

Very Deep Self-Attention Networks for End-to-End Speech Recognition

Improving Zero-shot Translation with Language-Independent Constraints

Adaptive multilingual speech recognition with pretrained models

Adapting End-to-End Speech Recognition for Readable Subtitles

Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese

KIT’s IWSLT 2021 Offline Speech Translation System

Proceedings of the 18th International Conference on Spoken Language Translation (IWSLT 2021)

Towards Efficient Simultaneous Speech Translation: CUNI-KIT System for Simultaneous Track at IWSLT 2023

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

How Transformer Revitalizes Character-based Neural Machine Translation: An Investigation on Japanese-Vietnamese Translation Systems

The UET-ICTU Submissions to the VLSP 2020 News Translation Task


PASTA (Practical Alignment using SATe and Transitivity)

The asparagus genome sheds light on the origin and evolution of a young Y chromosome

Evolution of rapid blue‐light response linked to explosive diversification of ferns in angiosperm forests

Rooted tRNAomes and evolution of the genetic code

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

UPP2: fast and accurate alignment of datasets with fragmentary sequences

PASTA for proteins

HMMerge: an ensemble method for multiple sequence alignment


Python library for knowledge graph embedding and representation learning.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

TuckER: Tensor Factorization for Knowledge Graph Completion

ProjE: Embedding Projection for Knowledge Graph Completion

A survey of embedding models of entities and relationships for knowledge graph completion

Pykg2vec: A Python Library for Knowledge Graph Embedding

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

Bilinear Scoring Function Search for Knowledge Graph Learning

Learning Triple Embeddings from Knowledge Graphs

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

μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications

Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?

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


:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB

sdmTMB: An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields

The shadow model: how and why small choices in spatially explicit species distribution models affect predictions


Agent Learning Framework https://alf.readthedocs.io

Hierarchical Reinforcement Learning By Discovering Intrinsic Options

Learning to Synthesize Programs as Interpretable and Generalizable Policies

TAAC: Temporally Abstract Actor-Critic for Continuous Control

Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning


Analysis & visualization of energy & climate scenarios

pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

Assessing global climate change mitigation scenarios from a power system perspective using a novel multi-model framework

pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems

Understanding Climate Risk in Future Energy Systems: An Energy–Climate Data Hackathon

Bulletin of the American Meteorological Society


Classical force field model for simulating atomic force microscopy images.

Principles and simulations of high-resolution STM imaging with a flexible tip apex

Real Space Visualization of Entangled Excitonic States in Charged Molecular Assemblies

Integrating Bayesian Inference with Scanning Probe Experiments for Robust Identification of Surface Adsorbate Configurations


Library for validated numerics using interval arithmetic

Reachability of weakly nonlinear systems using Carleman linearization

Minimum stationary values of sparse random directed graphs

Rigorous computation of solutions of semi-linear PDEs on unbounded domains via spectral methods

Stationary non-radial localized patterns in the planar Swift-Hohenberg
  PDE: constructive proofs of existence

A Cross-Platform Benchmark for Interval Computation Libraries

Constructive proofs for localized radial solutions of semilinear elliptic systems on ℝ^d

A continuity bound for the expected number of connected components of a random graph: a model for epidemics

Periodic orbits in Hořava–Lifshitz cosmologies


Scalable Multi-Agent RL Training School for Autonomous Driving

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective

Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

NeurIPS 2022 Competition: Driving SMARTS

Multi-Agent Reinforcement Learning for Autonomous Driving: A Survey

CRITERIA: a New Benchmarking Paradigm for Evaluating Trajectory Prediction Models for Autonomous Driving


An open source loadflow based on PowSyBl


3D super-resolution using Generative Adversarial Networks

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

Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

Checkerboard artifact free sub-pixel convolution: A note on sub-pixel convolution, resize convolution and convolution resize

Brain MRI super-resolution using 3D generative adversarial networks


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

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

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

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

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

Faster Differentially Private Convex Optimization via Second-Order Methods


Code for experiments regarding importance sampling for training neural networks

Not All Samples Are Created Equal: Deep Learning with Importance Sampling

Variance Reduction in SGD by Distributed Importance Sampling

Biased Importance Sampling for Deep Neural Network Training

Supercharging Imbalanced Data Learning With Energy-based Contrastive Representation Transfer


Source codes of our paper in CVPR 2019:  Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models


DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models

Direct Consistency Optimization for Compositional Text-to-Image
  Personalization

InstructBooth: Instruction-following Personalized Text-to-Image Generation

Disguised Copyright Infringement of Latent Diffusion Models


Global alignment and alignment extension

Fast characterization of segmental duplications in genome assemblies

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

MONI: A Pangenomics Index for Finding MEMs

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


On the Hidden Mystery of OCR in Large Multimodal Models (OCRBench)

Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

Exploring the Capabilities of Large Multimodal Models on Dense Text


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


dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

Dynamic Network Embedding Survey

Understanding graph embedding methods and their applications

TCL: Transformer-based Dynamic Graph Modelling via Contrastive Learning

DynamicGEM: A Library for Dynamic Graph Embedding Methods

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Dynamic Graph Representation Learning via Graph Transformer Networks

A Comprehensive Survey on Graph Summarization with Graph Neural Networks

Accelerating Dynamic Network Embedding with Billions of Parameter Updates to Milliseconds

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


RDP extensible sequence classifier for fungal lsu, bacterial and archaeal 16s

A distinct bacterial dysbiosis associated skin inflammation in ovine footrot

CNN_FunBar: Advanced Learning Technique for Fungi ITS Region Classification

Rapid and accurate taxonomic classification of cpn60 amplicon sequence variants

The impact of transitive annotation on the training of taxonomic classifiers


Learning audio concepts from natural language supervision

CLAP: Learning Audio Concepts From Natural Language Supervision

Natural Language Supervision for General-Purpose Audio Representations

GAMA: A Large Audio-Language Model with Advanced Audio Understanding and Complex Reasoning Abilities


Python tools for reading, writing, compiling, simulating quantum computer circuits. Includes numpy and tensorflow backends. “Quantum Space, the final frontier. These are the voyages of the starship Qubiter. Its five-year mission: to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man has gone before.”

Open source software in quantum computing

Efficient decomposition of unitary matrices in quantum circuit compilers

Approaching the theoretical limit in quantum gate decomposition


Jena Atomic Calculator

A fresh computational approach to atomic structures, processes and cascades

Atomic Cascade Computations

Dielectronic recombination strengths and plasma rate coefficients of multiply charged ions

Approximate Atomic Green Functions

Symbolic Evaluation of Expressions from Racah’s Algebra

Photon Emission from Hollow Ions Near Surfaces


CKIP Transformers

CxLM: A Construction and Context-aware Language Model

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Word-specific tonal realizations in Mandarin

Resolving Regular Polysemy in Named Entities

HanTrans: An Empirical Study on Cross-Era Transferability of Chinese Pre-trained Language Model

Taiwan Conference on Computational Linguistics and Speech Processing

Language Model Based Chinese Handwriting Address Recognition

Enhancing Chinese Multi-Label Text Classification Performance with Response-based Knowledge Distillation


Learning diverse image-to-image translation from unpaired data

Diverse Image-to-Image Translation via Disentangled Representations

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Positional Normalization

Memory-guided Unsupervised Image-to-image Translation

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

Explainable Link Prediction for Emerging Entities in Knowledge Graphs

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description


Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)

Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding

An Empirical Study of Training State-of-the-Art LiDAR Segmentation
  Models

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving


PyTorch Implementation of "Resource Efficient 3D Convolutional Neural Networks", codes and pretrained models.

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

Emotion Recognition from Spatio-Temporal Representation of EEG Signals via 3D-CNN with Ensemble Learning Techniques

Revealing Lung Affections from CTs. A Comparative Analysis of Various Deep Learning Approaches for Dealing with Volumetric Data


Channel State Information Extraction on Various Broadcom Wi-Fi Chips

Wi-COVID: A COVID-19 symptom detection and patient monitoring framework using WiFi

Human Activity Recognition Using CSI Information with Nexmon

Physical Tampering Detection Using Single COTS Wi-Fi Endpoint

Next2You: Robust Copresence Detection Based on Channel State Information


NLP framework for JVM languages.

Lexicon Integrated CNN Models with Attention for Sentiment Analysis

Character Identification on Multiparty Conversation: Identifying Mentions of Characters in TV Shows

Annual Meeting of the Special Interest Group on Discourse and Dialogue

Classification of Radiology Reports Using Neural Attention Models

Text mining resources for the life sciences

Database : the journal of biological databases and curation

Learning to Recognize Discontiguous Entities

Empirical Methods in Natural Language Processing

SelQA: A New Benchmark for Selection-based Question Answering

Challenging Reading Comprehension on Daily Conversation: Passage Completion on Multiparty Dialog

North American Chapter of the Association for Computational Linguistics

A Challenge Set and Methods for Noun-Verb Ambiguity

QA-It: Classifying Non-Referential It for Question Answer Pairs

Meeting of the Association for Computational Linguistics

Analysis of Wikipedia-based Corpora for Question Answering


Several data modalities for KBs (visual, numerical, temporal, etc.)

Learning Sequence Encoders for Temporal Knowledge Graph Completion

Representation Learning for Dynamic Graphs: A Survey

MMKG: Multi-Modal Knowledge Graphs

KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features

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

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

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

Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph

EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning


multilabel classification of EHR notes

Explainable Prediction of Medical Codes from Clinical Text

ICD Coding from Clinical Text Using Multi-Filter Residual Convolutional Neural Network

Explainable Automated Coding of Clinical Notes using Hierarchical Label-wise Attention Networks and Label Embedding Initialisation

Revisiting Transformer-based Models for Long Document Classification

Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study

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

Hierarchical Label-wise Attention Transformer Model for Explainable ICD Coding

A Unified Review of Deep Learning for Automated Medical Coding

Medical code prediction with multi-view convolution and description-regularized label-dependent attention

ICDBigBird: A Contextual Embedding Model for ICD Code Classification

Exemplar Auditing for Multi-Label Biomedical Text Classification


Library for fast spherical harmonic transforms, see http://arxiv.org/abs/1303.4945

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

HAL (Le Centre pour la Communication Scientifique Directe)

The SpECTRE Cauchy-characteristic evolution system for rapid, precise waveform extraction

Multi-resolution Bayesian CMB component separation through Wiener filtering with a pseudo-inverse preconditioner

MillimeterDL: Deep Learning Simulations of the Microwave Sky


alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

Efficient Neural Network Robustness Certification with General Activation Functions

A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks

Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond

Beta-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Robustness Verification

Fast and Complete: Enabling Complete Neural Network Verification with Rapid and Massively Parallel Incomplete Verifiers

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

General Cutting Planes for Bound-Propagation-Based Neural Network Verification

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Efficiently Computing Local Lipschitz Constants of Neural Networks via Bound Propagation

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results


A script to run structural alerts using the RDKit and ChEMBL

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Improving black-box optimization in VAE latent space using decoder uncertainty

Retrieval-based Controllable Molecule Generation


Almost trivial distributed parallelization of stencil-based GPU and CPU applications on a regular staggered grid

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

Bridging HPC Communities through the Julia Programming Language


A power network simulator with a Reinforcement Learning-focused usage.

Learning to run a power network challenge for training topology controllers

Design and implementation of an environment for Learning to Run a Power Network (L2RPN)


Image segmentation - general superpixel segmentation & center detection & region growing

Supervised and unsupervised segmentation using superpixels, model estimation, and graph cut

Learning Continuous Implicit Representation for Near-Periodic Patterns

Region growing using superpixels with learned shape prior

Detection and Localization of Drosophila Egg Chambers in Microscopy Images


Creative Commons Attribution Share Alike 4.0 International

The official repository for the EuroCrops dataset.

EuroCrops: The Largest Harmonized Open Crop Dataset Across the European Union

Challenges and Opportunities of Large Transnational Datasets: A Case Study on European Administrative Crop Data

Boosting Crop Classification by Hierarchically Fusing Satellite, Rotational, and Contextual Data

Harnessing Administrative Data Inventories to Create a Reliable Transnational Reference Database for Crop Type Monitoring

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium


Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

SEMI-ANALYTIC GALAXY EVOLUTION (SAGE): MODEL CALIBRATION AND BASIC RESULTS

The Astrophysical Journal Supplement Series

Building disc structure and galaxy properties through angular momentum: the DARK SAGE semi-analytic model

Monthly Notices of the Royal Astronomical Society

MultiDark-Galaxies: data release and first results

THE THEORETICAL ASTROPHYSICAL OBSERVATORY: CLOUD-BASED MOCK GALAXY CATALOGS*

Physical drivers of galaxies' cold-gas content: exploring environmental and evolutionary effects with DARK SAGE

The origin of dust in galaxies across cosmic time

Monthly notices of the Royal Astronomical Society

The 21 cm bispectrum during reionization: a tracer of the ionization topology

The many lives of active galactic nuclei–II: The formation and evolution of radio jets and their impact on galaxy evolution

The escape fraction of ionizing photons during the Epoch of Reionization: observability with the Square Kilometre Array

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations


The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.

Beyond English-Centric Multilingual Machine Translation

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task

Workshop on Neural Generation and Translation

Translating Headers of Tabular Data: A Pilot Study of Schema Translation

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


PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks

Scaling Hamiltonian Monte Carlo Inference for Bayesian Neural Networks with Symmetric Splitting

Introducing an Explicit Symplectic Integration Scheme for Riemannian Manifold Hamiltonian Monte Carlo

The Peril of Popular Deep Learning Uncertainty Estimation Methods

Function-space Parameterization of Neural Networks for Sequential
  Learning

MCMC to address model misspecification in Deep Learning classification of Radio Galaxies


Benchmark sets for binding free energy calculations: Perpetual review paper, discussion, datasets, and standards

DeltaDelta Neural Networks for Lead Optimization of Small Molecule Potency

A Physics-Guided Neural Network for Predicting Protein–Ligand Binding Free Energy: From Host–Guest Systems to the PDBbind Database

Supercomputer Docking

Supercomputing Frontiers and Innovations

Predicting binding free energies: Frontiers and benchmarks (a perpetual review)


An R package to import Water Survey of Canada hydrometric data and make it tidy

tidyhydat: Extract and Tidy Canadian Hydrometric Data


PyTorch implementation of SLAYER for training Spiking Neural Networks

SLAYER: Spike Layer Error Reassignment in Time

Event-Based Angular Velocity Regression with Spiking Networks

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi

Online Few-shot Gesture Learning on a Neuromorphic Processor

Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks

Event-Driven Tactile Learning with Location Spiking Neurons

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks


Fast taxonomic classification of metagenomic sequencing reads using a protein reference database

Kaiju: Fast and sensitive taxonomic classification for metagenomics

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): a specific and comprehensive pipeline for metagenomic shotgun sequencing data analysis

DeepMicrobeFinder Sorts Metagenomes into Prokaryotes, Eukaryotes and Viruses, with Marine Applications

The first horse gut microbiome gene catalog reveals that rare microbiome ensures better cardiovascular fitness in endurance horses

Construction of high-quality genomes and gene catalogue for culturable microbes of sugarcane (Saccharum spp.)


A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.

LocusZoom.js: interactive and embeddable visualization of genetic association study results

ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb


PyTorch to Keras model convertor

Towards a Roadmap on Software Engineering for Responsible AI

Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering

COVID-19 detection using chest X-rays: is lung segmentation important for generalization?

Investigating the impact of transient hardware faults on deep learning neural network inference

Software testing, verification & reliability


PyTorch implementation of normalizing flow models

NICE: Non-linear Independent Components Estimation

Flow Annealed Importance Sampling Bootstrap

normflows: A PyTorch Package for Normalizing Flows

CausalTime: Realistically Generated Time-series for Benchmarking of Causal Discovery


Structural variant toolkit for VCFs

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

Long-read-based human genomic structural variation detection with cuteSV

Truvari: refined structural variant comparison preserves allelic diversity

Long Read based Human Genomic Structural Variation Detection with cuteSV

Samplot: a platform for structural variant visual validation and automated filtering

SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

lra: the Long Read Aligner for Sequences and Contigs

Accelerated identification of disease-causing variants with ultra-rapid nanopore genome sequencing

PRINCESS: comprehensive detection of haplotype resolved SNVs, SVs, and methylation


Python programs for electron microscopy

FACT caught in the act of manipulating the nucleosome

Structure and drug resistance of the Plasmodium falciparum transporter PfCRT

Structural basis for substrate gripping and translocation by the ClpB AAA+ disaggregase

Cryo-EM structures of remodeler-nucleosome intermediates suggest allosteric control through the nucleosome

Cryo-EM analysis of PIP2 regulation in mammalian GIRK channels

Structure and mechanism of B-family DNA polymerase zeta specialized for translesion DNA synthesis

Structure of the radial spoke head and insights into its role in mechanoregulation of ciliary beating

Cryo-EM structure of the potassium-chloride cotransporter KCC4 in lipid nanodiscs

Molecular structures of the eukaryotic retinal importer ABCA4

Structural basis of the ligand binding and signaling mechanism of melatonin receptors


Statistical climate downscaling in Python


A Nextflow pipeline for running the ARTIC network's fieldbioinformatics tools (https://github.com/artic-network/fieldbioinformatics), with a focus on ncov2019

Monitoring SARS-CoV-2 in municipal wastewater to evaluate the success of lockdown measures for controlling COVID-19 in the UK

Genomic reconstruction of the SARS-CoV-2 epidemic in England

A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture

The Evolutionary Landscape of SARS-CoV-2 Variant B.1.1.519 and Its Clinical Impact in Mexico City

poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing

Whole-Genome Sequencing of SARS-CoV-2: Assessment of the Ion Torrent AmpliSeq Panel and Comparison with the Illumina MiSeq ARTIC Protocol

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

City-wide wastewater genomic surveillance through the successive emergence of SARS-CoV-2 Alpha and Delta variants

Genomic epidemiology of COVID-19 in care homes in the east of England

Genomic analysis of SARS-CoV-2 reveals local viral evolution in Ghana

Experimental biology and medicine (Maywood, N.J.)


Epistemic Neural Networks

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and Bootstrapping

Fine-Tuning Language Models via Epistemic Neural Networks

Experts Don't Cheat: Learning What You Don't Know By Predicting Pairs

Robustness of Epinets against Distributional Shifts

Layer Ensembles


[NeurIPS'22] PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

Meta Architecture for Point Cloud Analysis

Applying Plain Transformers to Real-World Point Clouds

Multi-task 3D building understanding with multi-modal pretraining


A battery pack simulation tool that uses the PyBaMM framework


dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

dcmqi: An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies

Journal of medical imaging (Bellingham, Wash.)

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow


Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution.  Accelerates model or experiment runs.

Time series aggregation for energy system design: Modeling seasonal storage

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

The Pareto-Optimal Temporal Aggregation of Energy System Models

Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models

ETHOS.FINE: A Framework for Integrated Energy System Assessment


A Python toolkit for lattice field theory, quantum computing, and machine learning

An update of Euclidean windows of the hadronic vacuum polarization

Grid on QPACE 4

Pseudo-scalar meson spectral properties in the chiral crossover region of QCD

Lattice QCD calculation of the pion distribution amplitude with domain wall fermions at physical pion mass

Isospin 0 and 2 two-pion scattering at physical pion mass using distillation with periodic boundary conditions in lattice QCD

Nonperturbative Collins-Soper Kernel from Chiral Quarks with Physical
  Masses

Systematic Uncertainties from Gribov Copies in Lattice Calculation of
  Parton Distributions in the Coulomb gauge


Bicleaner is a parallel corpus classifier/cleaner that aims at detecting noisy sentence pairs in a parallel corpus.

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

ParaCrawl: Web-scale parallel corpora for the languages of the EU

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

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

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

XFORMAL: A Benchmark for Multilingual Formality Style Transfer

Bifixer and Bicleaner: two open-source tools to clean your parallel data

European Association for Machine Translation Conferences/Workshops

NTT Neural Machine Translation Systems at WAT 2019

Empirical Methods in Natural Language Processing

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

Meeting of the Association for Computational Linguistics


Play atmospheric modelling like it's LEGO.

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Clifford Neural Layers for PDE Modeling

Geometric Clifford Algebra Networks

Latent Neural PDE Solver: a reduced-order modelling framework for
  partial differential equations

Marrying Causal Representation Learning with Dynamical Systems for Science


Java grammar for tree-sitter

Repository-Level Prompt Generation for Large Language Models of Code

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Evaluating the Impact of Source Code Parsers on ML4SE Models

Coarse-Tuning Models of Code with Reinforcement Learning Feedback


YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on.

YOLOv4: Optimal Speed and Accuracy of Object Detection

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

You Only Look One-level Feature

DETRs Beat YOLOs on Real-time Object Detection

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

PP-YOLOE: An evolved version of YOLO

Focal Modulation Networks

YOLOv6 v3.0: A Full-Scale Reloading

YOLOv10: Real-Time End-to-End Object Detection


Model Evaluation Tools

East Asia Reanalysis System (EARS)

Zenodo (CERN European Organization for Nuclear Research)

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study

Configuration files for WRF and rain-producing storm identification model

Using feature-based verification methods to explore the spatial and temporal characteristics of the 2019 chlorophyll-a bloom season in a model of the European Northwest Shelf


Code coverage for Solidity smart-contracts

SuMo: A Mutation Testing Strategy for Solidity Smart Contracts

TxT: Real-Time Transaction Encapsulation for Ethereum Smart Contracts

IEEE Transactions on Information Forensics and Security

Using Fault Injection to Assess Blockchain Systems in Presence of Faulty Smart Contracts


A library for advanced large language model reasoning

Reasoning with Language Model is Planning with World Model

GameBench: Evaluating Strategic Reasoning Abilities of LLM Agents

LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step
  Reasoning with Large Language Models

On the Empirical Complexity of Reasoning and Planning in LLMs


A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning

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

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

MultiViz: Towards Visualizing and Understanding Multimodal Models

Neural Groundplans: Persistent Neural Scene Representations from a Single Image

Transformation Driven Visual Reasoning

Deep Embedded Non-Redundant Clustering

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

Object-wise Masked Autoencoders for Fast Pre-training

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models

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

Generating Annotated High-Fidelity Images Containing Multiple Coherent Objects


An extension layer that makes it easier to build complex networks in Mininet

Advancing Software-Defined Networks: A Survey

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

Intelligent Management and Efficient Operation of Big Data


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


Python package for modular Bayesian optimization

AutoML: A survey of the state-of-the-art

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Unbounded Bayesian Optimization via Regularization

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE Transactions on Automation Science and Engineering


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

SoDeep: a Sorting Deep net to learn ranking loss surrogates

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

Minimizing Supervision in Multi-label Categorization


Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Temporal Relational Ranking for Stock Prediction

Temporal-Relational Hypergraph Tri-Attention Networks for Stock Trend Prediction

Deep Coupling Network For Multivariate Time Series Forecasting


A dataset containing synchronized visual, inertial and GNSS raw measurements.

GVINS: Tightly Coupled GNSS–Visual–Inertial Fusion for Smooth and Consistent State Estimation

InGVIO: A Consistent Invariant Filter for Fast and High-Accuracy GNSS-Visual-Inertial Odometry

A Tightly Coupled Visual-Inertial GNSS State Estimator Based on Point-Line Feature


lightspeed matlab toolbox

A Low-Complexity Equalizer for Massive MIMO Systems Based on Array Separability

Bounding the Plausibility of Physical Theories in a Device-Independent Setting via Hypothesis Testing

Density functional theory method for twisted geometries with application to torsional deformations in group-IV nanotubes

Low-Complexity separable beamformers for massive antenna array systems

Random-batch method for multi-species stochastic interacting particle systems

Device-independent certification of desirable properties with a confidence interval


source code for the paper Deep Knowledge Tracing

Deep Knowledge Tracing

A Self-Attentive model for Knowledge Tracing

EdNet: A Large-Scale Hierarchical Dataset in Education

Knowledge Tracing with Sequential Key-Value Memory Networks

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

Knowledge Tracing: A Survey

Knowledge Query Network: How Knowledge Interacts with Skills

Domain Adaption for Knowledge Tracing

DBE-KT22: A Knowledge Tracing Dataset Based on Online Student Evaluation

DAGKT: Difficulty and Attempts Boosted Graph-based Knowledge Tracing

UIILD: A Unified Interpretable Intelligent Learning Diagnosis Framework for Intelligent Tutoring Systems