MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"

LawBench: Benchmarking Legal Knowledge of Large Language Models

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

Evaluating the Capability of Large-scale Language Models on Chinese Grammatical Error Correction Task

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation

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

Mining Error Templates for Grammatical Error Correction

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


Chamfer Distance in Pytorch with f-score

LION: Latent Point Diffusion Models for 3D Shape Generation

Mosaic-SDF for 3D Generative Models

CD^2: Fine-grained 3D Mesh Reconstruction With Twice Chamfer Distance

Basis restricted elastic shape analysis on the space of unregistered surfaces


BioWordVec & BioSentVec: pre-trained embeddings for biomedical words and sentences

Universal Sentence Encoder

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

MedSTS: A Resource for Clinical Semantic Textual Similarity

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

Evaluating shallow and deep learning strategies for the 2018 n2c2 shared task on clinical text classification

Journal of the American Medical Informatics Association : JAMIA

How can natural language processing help model informed drug development?: a review

Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays

Interpretable Multi-Step Reasoning with Knowledge Extraction on Complex Healthcare Question Answering

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

Evaluating semantic textual similarity in clinical sentences using deep learning and sentence embeddings

PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20)


LLM finetuned for medical question answering

LLaMA: Open and Efficient Foundation Language Models

HuatuoGPT, towards Taming Language Model to Be a Doctor

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Health-LLM: Large Language Models for Health Prediction via Wearable Sensor Data

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare


Python interface to RADEX

Temperature, Mass, and Turbulence: A Spatially Resolved Multiband Non-LTE Analysis of CS in TW Hya

Temperature structures in Galactic Center clouds - Direct evidence for gas heating via turbulence

Warm and cold molecular gas conditions modelled in 87 galaxies observed by the Herschel SPIRE Fourier transform spectrometer

Monthly Notices of the Royal Astronomical Society

Recovering the Physical Properties of Molecular Gas in Galaxies from CO SLED Modeling

Dense Molecular Gas Properties of the Central Kiloparsec of Nearby Ultraluminous Infrared Galaxies Constrained by ALMA Three Transition-line Observations

Cold Deuterium Fractionation in the Nearest Planet-forming Disk

Massive Molecular Gas Reservoir in a Luminous Submillimeter Galaxy during Cosmic Noon

ALMA 0.5 kpc Resolution Spatially Resolved Investigations of Nuclear Dense Molecular Gas Properties in Nearby Ultraluminous Infrared Galaxies Based on HCN and HCO+ Three Transition Line Data


spaCy module for linking text to Wikidata items

Knowledge Graph Contrastive Learning for Recommendation

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

KALA: Knowledge-Augmented Language Model Adaptation

Reasoning over Public and Private Data in Retrieval-Based Systems

KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation

On the Sweet Spot of Contrastive Views for Knowledge-enhanced Recommendation

LOKE: Linked Open Knowledge Extraction for Automated Knowledge Graph Construction


Align proteins to genomes with splicing and frameshift

Protein-to-genome alignment with miniprot

A Chromosome-length Assembly of the Black Petaltail (Tanypteryx hageni) Dragonfly


RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.

RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

RnaBench: A Comprehensive Library forIn SilicoRNA Modelling


Easy access to high-resolution daily climate data for Europe


PyMatching: A Python/C++ library for decoding quantum error correcting codes with minimum-weight perfect matching.

LEMON - an Open Source C++ Graph Template Library

Electronic Notes in Theoretical Computer Science

PyMatching: A Python Package for Decoding Quantum Codes with Minimum-Weight Perfect Matching

Fusion Blossom: Fast MWPM Decoders for QEC

Real-time decoding for fault-tolerant quantum computing: progress, challenges and outlook

Partially Fault-Tolerant Quantum Computing Architecture with Error-Corrected Clifford Gates and Space-Time Efficient Analog Rotations

High-Photon-Loss Threshold Quantum Computing Using GHZ-State Measurements

Deep Quantum Error Correction

Belief propagation as a partial decoder

Resilience of the surface code to error bursts


⚡ zeus: Lightning Fast MCMC ⚡

zeus: a PYTHON implementation of ensemble slice sampling for efficient Bayesian parameter inference

Monthly notices of the Royal Astronomical Society

Ensemble slice sampling

Impact of relativistic effects on the primordial non-Gaussianity signature in the large-scale clustering of quasars

Detecting the power spectrum turnover with H i intensity mapping

Measuring line-of-sight shear with Einstein rings: a proof of concept


Graph Embedding Techniques, Applications, and Performance: A Survey

Representation Learning for Natural Language Processing

The Atlas for the Aspiring Network Scientist

GEM: A Python package for graph embedding methods

Fusion of text and graph information for machine learning problems on networks

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Network representation learning systematic review: ancestors and current development state

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment

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


AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.


An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

MECI: A Multilingual Dataset for Event Causality Identification

International Conference on Computational Linguistics


Normalization for single cell RNA-seq data

Single-cell analysis reveals fibroblast heterogeneity and myeloid-derived adipocyte progenitors in murine skin wounds

Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


Matrix cascade equation core code

Calculation of conventional and prompt lepton fluxes at very high energy

The hadronic interaction model Sibyll-2.3c and inclusive lepton fluxes

Neutrinos from cosmic ray interactions in the Sun

Journal of Cosmology and Astroparticle Physics

Bounds on secret neutrino interactions from high-energy astrophysical neutrinos

Tau neutrinos in the next decade: from GeV to EeV

Unified atmospheric neutrino passing fractions for large-scale neutrino telescopes

Measurement of atmospheric neutrino mixing with improved IceCube DeepCore calibration and data processing

Using high-energy neutrinos as cosmic magnetometers

PLEνM: A global and distributed monitoring system of high-energy astrophysical neutrinos

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

Data-driven hadronic interaction model for atmospheric lepton flux calculations


Low bandwidth DoS tool. Slowloris rewrite in Python.

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks

Evaluation of Apache Spot's machine learning capabilities in an SDN/NFV enabled environment

Zenodo (CERN European Organization for Nuclear Research)

FortisEDoS: A Deep Transfer Learning-empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing

IEEE Transactions on Dependable and Secure Computing

Towards Explainable Meta-Learning for DDoS Detection


Everything there is to know about Flashbots

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Empirical Analysis of EIP-1559

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Maximizing Extractable Value from Automated Market Makers

Extracting Godl [sic] from the Salt Mines: Ethereum Miners Extracting Value

Achieving State Machine Replication without Honest Players

Commitment Against Front Running Attacks

Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-Validation

HCB: Enabling Compact Block in Ethereum Network With Secondary Pool and Transaction Prediction

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


enchant spellchecking library

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

Grammatical Error Correction with Neural Reinforcement Learning

Learning to combine Grammatical Error Corrections

GitHub Typo Corpus: A Large-Scale Multilingual Dataset of Misspellings and Grammatical Errors

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

LinggleWrite: a Coaching System for Essay Writing

Meeting of the Association for Computational Linguistics

Cool English: a Grammatical Error Correction System Based on Large Learner Corpora

TMIXT: A process flow for Transcribing MIXed handwritten and machine-printed Text


A collection of TLA⁺ specifications of varying complexities

TLA+ model checking made symbolic

Proceedings of the ACM on Programming Languages

The TLA+ Toolbox

Towards an Automatic Proof of Lamport's Paxos

Greybox Fuzzing of Distributed Systems

Specification and Verification with the TLA+ Trifecta: TLC, Apalache, and TLAPS

Leveraging Applications of Formal Methods, Verification and Validation. Verification Principles

Leveraging TLA+ Specifications to Improve the Reliability of the ZooKeeper Coordination Service

Validating Traces of Distributed Programs Against TLA+ Specifications

On the Significance of Consecutive Ballots in Paxos

Smart Casual Verification of CCF's Distributed Consensus and Consistency
  Protocols


Neural Analysis and Synthesis: Reconstructing Speech from Self-Supervised Representations

NoreSpeech: Knowledge Distillation based Conditional Diffusion Model for Noise-robust Expressive TTS

SelfVC: Voice Conversion With Iterative Refinement using Self Transformations

Creating Personalized Synthetic Voices from Post-Glossectomy Speech with Guided Diffusion Models


PyTorch implementation of DeepLabv3

Rethinking Atrous Convolution for Semantic Image Segmentation

Growing Efficient Deep Networks by Structured Continuous Sparsification

INTERN: A New Learning Paradigm Towards General Vision

Deep learning fetal ultrasound video model match human observers in biometric measurements

Multi-Task Pruning for Semantic Segmentation Networks

One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model


A 3'-end adapter contaminant trimmer

SOAPnuke: a MapReduce acceleration-supported software for integrated quality control and preprocessing of high-throughput sequencing data

Skewer: a fast and accurate adapter trimmer for next-generation sequencing paired-end reads

AdapterRemoval: easy cleaning of next-generation sequencing reads

The Microbial Genomes Atlas (MiGA) webserver: taxonomic and gene diversity analysis of Archaea and Bacteria at the whole genome level

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

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

Sequence Capture versus Restriction Site Associated DNA Sequencing for Shallow Systematics.

Phytochrome diversity in green plants and the origin of canonical plant phytochromes

Genomic inference of the metabolism of cosmopolitan subsurface Archaea, Hadesarchaea

Distinctive expansion of gene families associated with plant cell wall degradation, secondary metabolism, and nutrient uptake in the genomes of grapevine trunk pathogens


An integrated cache and memory access time, cycle time, area, leakage, and dynamic power model

What Your DRAM Power Models Are Not Telling You

EVA^2: Exploiting Temporal Redundancy in Live Computer Vision

TensorDash: Exploiting Sparsity to Accelerate Deep Neural Network Training

LATTE: LSTM Self-Attention based Anomaly Detection in Embedded Automotive Platforms

MPNA: A Massively-Parallel Neural Array Accelerator with Dataflow Optimization for Convolutional Neural Networks

Flexagon: A Multi-dataflow Sparse-Sparse Matrix Multiplication Accelerator for Efficient DNN Processing

FPRaker: A Processing Element For Accelerating Neural Network Training

Proximu: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute.

Schrödinger's FP: Dynamic Adaptation of Floating-Point Containers for Deep Learning Training


Dynamic Few-Shot Visual Learning without Forgetting

A Baseline for Few-Shot Image Classification

How to trust unlabeled data? Instance Credibility Inference for Few-Shot Learning


Investigating Capsule Networks with Dynamic Routing for Text Classification

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Taxonomy-Aware and Attentional Graph Capsule RCNNs for Large-Scale Multi-Label Text Classification

Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications

Fast Dynamic Routing Based on Weighted Kernel Density Estimation


Scenario analysis notebooks for the IPCC Special Report on Global Warming of 1.5°C


A simulator for single-cell expression data  guided by gene regulatory networks

SERGIO: A Single-Cell Expression Simulator Guided by Gene Regulatory Networks

Amortized Inference for Causal Structure Learning

BaCaDI: Bayesian Causal Discovery with Unknown Interventions


X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)

ViperGPT: Visual Inference via Python Execution for Reasoning

Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual Concepts

When and why vision-language models behave like bags-of-words, and what to do about it?

X^2-VLM: All-In-One Pre-trained Model For Vision-Language Tasks

Measuring Progress in Fine-grained Vision-and-Language Understanding

PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning

MPCHAT: Towards Multimodal Persona-Grounded Conversation

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

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as Programmers

XtremeCLIP: Extremely Parameter-efficient Tuning for Low-resource Vision Language Understanding

Findings of the Association for Computational Linguistics: ACL 2023


Tools to work with GWAS-VCF summary statistics files

A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation

BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies


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

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

bioRxiv : the preprint server for biology

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

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


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

Learning to Embed Categorical Features without Embedding Tables for Recommendation

A Lightweight Blockchain Based Framework for Underwater IoT

Hash Adaptive Bloom Filter

copMEM: Finding maximal exact matches via sampling both genomes

MATE: Multi-Attribute Table Extraction

Embedding in Recommender Systems: A Survey

Utopia: Fast and Efficient Address Translation via Hybrid Restrictive & Flexible Virtual-to-Physical Address Mappings


Neural network toolkit for sentence pair modeling.

Neural Network Models for Paraphrase Identification, Semantic Textual Similarity, Natural Language Inference, and Question Answering

Character-based Neural Networks for Sentence Pair Modeling

Knowledge-Guided Paraphrase Identification

Findings of the Association for Computational Linguistics: EMNLP 2021


[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

State of the Art and Potentialities of Graph-level Learning

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

Simplified Graph Learning for Inductive Short Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network


ISO peak load forecasting application


Code and data accompanying the FedGen paper

Communication-Efficient Learning of Deep Networks from Decentralized Data

Federated Optimization in Heterogeneous Networks

Data-Free Knowledge Distillation for Heterogeneous Federated Learning

Federated Knowledge Distillation

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

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation


ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

DADA: Depth-aware Domain Adaptation in Semantic Segmentation

Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation

Curriculum-Based Augmented Fourier Domain Adaptation for Robust Medical Image Segmentation

Target Consistency for Domain Adaptation: when Robustness meets Transferability

Robust Deep Learning for Autonomous Driving


Python 3 Spelling Corrector

RiddleSense: Reasoning about Riddle Questions Featuring Linguistic Creativity and Commonsense Knowledge

Opinion Dynamics Modeling for Movie Review Transcripts Classification with Hidden Conditional Random Fields

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning

JCTDHS at SemEval-2019 Task 5: Detection of Hate Speech in Tweets using Deep Learning Methods, Character N-gram Features, and Preprocessing Methods

North American Chapter of the Association for Computational Linguistics

Extracting textual overlays from social media videos using neural networks

Examining the potential influence of crosslinguistic lexical similarity on word-choice transfer in L2 English

BRAINTEASER: Lateral Thinking Puzzles for Large Language Models


BoNeSi - the DDoS Botnet Simulator

A DDoS Attack Mitigation Scheme in ISP Networks Using Machine Learning Based on SDN

SDN-Enabled IoT Anomaly Detection Using Ensemble Learning

International conference on Artificial intelligence and applications

Towards Detecting Flooding DDOS Attacks Over Software Defined Networks Using Machine Learning Techniques

Evaluation of Apache Spot's machine learning capabilities in an SDN/NFV enabled environment

MAN-EDoS: A Multihead Attention Network for the Detection of Economic Denial of Sustainability Attacks

Out of Sight, Out of Place: Detecting and Assessing Swapped Arguments

DDOS Botnets Attacks Detection in Anomaly Traffic: A Comparative Study.

Journal of Information Security and Cybercrimes Research

Two-Phase Deep Learning-Based EDoS Detection System


Quantifying Tidal Phase Effects on Coastal Flooding Induced by Hurricane Sandy in Manhattan, New York Using a Micro-Scale Hydrodynamic Model

Will Emerging Millimeter-Wave Cellular Networks Cause Harmful Interference to Weather Satellites?

Obstructed Target Tracking in Urban Environments

Green Roofs Footprints For New York City, Assembled From Available Data And Remote Sensing


Twitter Tools

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

Knowledge-based Query Expansion in Real-Time Microblog Search

Integrating Lexical and Temporal Signals in Neural Ranking Models for Searching Social Media Streams

Learning to Discover Key Moments in Social Media Streams


MS-Loss: Multi-Similarity Loss for Deep Metric Learning

Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning

Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies


R package for WebGestalt

Direct isolation of small extracellular vesicles from human blood using viscoelastic microfluidics

Identification of Osteosarcoma Metastasis-Associated Gene Biomarkers and Potentially Targeted Drugs Based on Bioinformatic and Experimental Analysis

The Rattlesnake W Chromosome: A GC-Rich Retroelement Refugium with Retained Gene Function Across Ancient Evolutionary Strata

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities


Disentangled and Controllable Face Image Generation via 3D Imitative-Contrastive Learning (CVPR 2020 Oral)

Deep Learning for Deepfakes Creation and Detection: A Survey

A Review of Image Processing Techniques for Deepfakes

3D-FM GAN: Towards 3D-Controllable Face Manipulation


CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets

Highly efficient therapeutic gene editing of human hematopoietic stem cells

Base editing rescue of spinal muscular atrophy in cells and in mice

In vivo HSC prime editing rescues sickle cell disease in a mouse model

Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice

Vision rescue via unconstrained in vivo prime editing in degenerating neural retinas

Correction of a urea cycle defect after ex vivo gene editing of human hepatocytes

Molecular therapy : the journal of the American Society of Gene Therapy


Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

2017 Robotic Instrument Segmentation Challenge

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

A Review on Deep Learning in Minimally Invasive Surgery

Endoscopic Image-Based Skill Assessment in Robot-Assisted Minimally Invasive Surgery

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need

SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation

Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge

Retinal vessel segmentation with constrained-based nonnegative matrix factorization and 3D modified attention U-Net


Efficient and precise single-cell reference atlas mapping with Symphony

Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases


SeqTR: A Simple yet Universal Network for Visual Grounding

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity
  Recognition


R interface to the National Hydrography Dataset :droplet:


pyltp: the python extension for LTP

Crafting Adversarial Examples for Neural Machine Translation

Neural Multitask Learning for Simile Recognition

Empirical Methods in Natural Language Processing

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization

International Joint Conference on Natural Language Processing

Hiring Now: A Skill-Aware Multi-Attention Model for Job Posting Generation

Combining Part-of-Speech Tags and Self-Attention Mechanism for Simile Recognition

Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations

Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection

Multi-task Learning for Chinese Word Usage Errors Detection


Automated deep learning algorithms implemented in PyTorch.

DARTS: Differentiable Architecture Search

Searching for A Robust Neural Architecture in Four GPU Hours

NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Auto-ReID: Searching for a Part-Aware ConvNet for Person Re-Identification

Network Pruning via Transformable Architecture Search

One-Shot Neural Architecture Search via Self-Evaluated Template Network

International Conference on Computer Vision

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

IEEE transactions on pattern analysis and machine intelligence

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

A Comprehensive Survey on Hardware-Aware Neural Architecture Search

Yet Another Intermediate-Level Attack


Analysis of initial value ODE solvers

A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics

Some notes on summation by parts time integration methods

Positivity-Preserving Adaptive Runge-Kutta Methods

Optimal Monotonicity-Preserving Perturbations of a Given Runge–Kutta Method

RK-Opt: A package for the design of numerical ODE solvers

NodePy: A package for the analysis of numerical ODE solvers


Sequence-to-sequence model with LSTM encoder/decoders and attention

Sequence-Level Knowledge Distillation

Synthetic and Natural Noise Both Break Neural Machine Translation

Sequence-to-Sequence Learning as Beam-Search Optimization

What do Neural Machine Translation Models Learn about Morphology?

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

On Adversarial Examples for Character-Level Neural Machine Translation

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

SYSTRAN's Pure Neural Machine Translation Systems

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

On the Linguistic Representational Power of Neural Machine Translation Models


Sequence-to-Sequence Learning for End-to-End Program Repair (IEEE TSE 2019). Open-science repo. http://arxiv.org/pdf/1901.01808

SequenceR: Sequence-to-Sequence Learning for End-to-End Program Repair

IEEE Transactions on Software Engineering

A Survey of Learning-based Automated Program Repair

Review4Repair: Code Review Aided Automatic Program Repairing


An extension of the PyMARL codebase that includes additional algorithms and environment support

The StarCraft Multi-Agent Challenge

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

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

Multi-agent Dynamic Algorithm Configuration

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

Deep Reinforcement Learning for Multi-Agent Interaction

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning


Mathematica package for algebraic calculations in elementary particle physics.

New developments in FeynCalc 9.0

FeynCalc 9.3: New features and improvements

FeynCalc goes multiloop

FeynCalc 10: Do multiloop integrals dream of computer codes?


A great intro dataset for data exploration & visualization (alternative to iris).

Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis)

allisonhorst/palmerpenguins: v0.1.0

Feature Selection Tutorial with Python Examples


An LLM Based Diagnosis System  (https://arxiv.org/pdf/2312.01454.pdf)

DB-GPT: Large Language Model Meets Database

LLM As DBA

D-Bot: Database Diagnosis System using Large Language Models

LLM-Enhanced Data Management


A pretty sweet RML engine, for RDF.

Domain-specific Knowledge Graphs: A survey

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Enhancing virtual ontology based access over tabular data with Morph-CSV

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

Using Mapping Languages for Building Legal Knowledge Graphs from XML Files

VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis

Machine Learning and Knowledge Extraction

Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies

Lecture notes in business information processing

The Wind in Our Sails: Developing a Reusable and Maintainable Dutch Maritime History Knowledge Graph

PROCEEDINGS OF THE 11TH KNOWLEDGE CAPTURE CONFERENCE (K-CAP '21)


Code for the AED2 water quality / ecology library

Dynamic modelling provides new insights into development and maintenance of Lake Kivu's density stratification


Meditron is a suite of open-source medical Large Language Models (LLMs).

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Hippocrates: An Open-Source Framework for Advancing Large Language Models in Healthcare

Towards Safe and Aligned Large Language Models for Medicine


Collection of tools and resources for managing the statistical disclosure control of trained machine learning models

GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)


Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI

Global signal regression strengthens association between resting-state functional connectivity and behavior

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior

The default network of the human brain is associated with perceived social isolation

Predicting Alzheimer’s disease progression using deep recurrent neural networks

Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

When makes you unique: Temporality of the human brain fingerprint


Proof of work algorithm based on random code execution

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning

HashCore: Proof-of-Work Functions for General Purpose Processors

ECCPoW: Error-Correction Code based Proof-of-Work for ASIC Resistance

Utilizing Public Blockchains for the Sybil-Resistant Bootstrapping of Distributed Anonymity Services

Error-Correction Code Proof-of-Work on Ethereum

ASIC-Resistant Proof of Work Based on Power Analysis of Low-End Microcontrollers


[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning

RegBN: Batch Normalization of Multimodal Data with Regularization


Kernel Current Source Density

Modelling And Analysis Of Electrical Potentials Recorded In Microelectrode Arrays (MEAs)

Cross-population coupling of neural activity based on Gaussian process current source densities

Local contribution to the somatosensory evoked potentials in rat’s thalamus


The FastPFOR C++ library: Fast integer compression

Decoding billions of integers per second through vectorization

A General SIMD-based Approach to Accelerating Compression Algorithms

ACM transactions on office information systems

Revisiting Data Compression in Column-Stores

Optimizing Communication by Compression for Multi-GPU Scalable Breadth-First Searches


An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Language Models are Few-Shot Learners

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Program Synthesis with Large Language Models

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Emergent and Predictable Memorization in Large Language Models

NaturalProver: Grounded Mathematical Proof Generation with Language Models

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Transformer models: an introduction and catalog

Do Membership Inference Attacks Work on Large Language Models?

ToD4IR: A Humanised Task-Oriented Dialogue System for Industrial Robots


KaHIP -- Karlsruhe HIGH Quality Partitioning.

Parallel Graph Partitioning for Complex Networks

Distributed Evolutionary Graph Partitioning

Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies

Distributed Evolutionary k-way Node Separators

Think Locally, Act Globally: Perfectly Balanced Graph Partitioning

Arc-Flags Meet Trip-Based Public Transit Routing

Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM

Algorithm Engineering for Cut Problems


Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

BILBY: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy

The Astrophysical Journal Supplement Series

How to Measure Galaxy Star Formation Histories. II. Nonparametric Models

Stellar Flares from the First TESS Data Release: Exploring a New Sample of M Dwarfs

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

Monthly notices of the Royal Astronomical Society

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

An older, more quiescent universe from panchromatic SED fitting of the 3D-HST survey

MOSFiT: Modular Open-Source Fitter for Transients

TESS Full Orbital Phase Curve of the WASP-18b System

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae


uBlock Origin - An efficient blocker for Chromium and Firefox. Fast and lean.

Browser Fingerprinting: A survey

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking

Missed by Filter Lists: Detecting Unknown Third-Party Trackers with Invisible Pixels

Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking

Improving Web Content Blocking With Event-Loop-Turn Granularity JavaScript Signatures

A comparison of web privacy protection techniques

Inferring Tracker-Advertiser Relationships in the Online Advertising Ecosystem using Header Bidding

Proceedings on Privacy Enhancing Technologies

PrivacyScore: Improving Privacy and Security via Crowd-Sourced Benchmarks of Websites

SpeedReader: Reader Mode Made Fast and Private

Who Funds Misinformation? A Systematic Analysis of the Ad-related Profit Routines of Fake News Sites


BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Intent Contrastive Learning for Sequential Recommendation

Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Sequential Recommendation via Stochastic Self-Attention

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

DiffuRec: A Diffusion Model for Sequential Recommendation

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation

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

gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling

Proceedings of the 17th ACM Conference on Recommender Systems

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?


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

Multi-Scale Positive Sample Refinement for Few-Shot Object Detection

DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


BARTScore: Evaluating Generated Text as Text Generation

AlignScore: Evaluating Factual Consistency with A Unified Alignment Function

Human-like Summarization Evaluation with ChatGPT

Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

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

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

Toward Human-Like Evaluation for Natural Language Generation with Error Analysis

Generation-Focused Table-Based Intermediate Pre-training for Free-Form Question Answering

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


MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

Unsupervised Opinion Summarization with Noising and Denoising

Self-Supervised and Controlled Multi-Document Opinion Summarization

Unsupervised Opinion Summarization with Content Planning

TransSum: Translating Aspect and Sentiment Embeddings for Self-Supervised Opinion Summarization

Meeting of the Association for Computational Linguistics

Comparative Opinion Summarization via Collaborative Decoding

An Unsupervised Masking Objective for Abstractive Multi-Document News Summarization


Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model

ForceFormer: Exploring Social Force and Transformer for Pedestrian Trajectory Prediction

RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics


[DEPRECATED] Repo for exploring multi-task learning approaches to learning sentence representations

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification

Evaluations and Methods for Explanation through Robustness Analysis

On Masked Pre-training and the Marginal Likelihood


Official PyTorch implementation of Contrastive Learning of Musical Representations

Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning

Auxiliary self-supervision to metric learning for music similarity-based retrieval and auto-tagging


Adversarially Learned Inference

Adversarially Learned Inference

Mode Regularized Generative Adversarial Networks

PacGAN: The power of two samples in generative adversarial networks

A Classification-Based Study of Covariate Shift in GAN Distributions

Generative Adversarial Parallelization

Semi-supervised image attribute editing using generative adversarial networks


Convolutional neural network analysis for predicting DNA sequence activity.

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

Predicting the impact of non-coding variants on DNA methylation

Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction

Computational and structural biotechnology journal


Implementation of the HotStuff consensus protocol.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets

Be Aware of Your Leaders

Motorway: Seamless high speed BFT

Performance of EdDSA and BLS Signatures in Committee-Based Consensus


The Microsoft Scalable Noisy Speech Dataset (MS-SNSD) is a noisy speech dataset that can scale to arbitrary sizes depending on the number of speakers, noise types, and Speech to Noise Ratio (SNR) levels desired.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Query-by-Example Keyword Spotting system using Multi-head Attention and Softtriple Loss

Anti-Transfer Learning for Task Invariance in Convolutional Neural Networks for Speech Processing

Advancing Test-Time Adaptation for Acoustic Foundation Models in Open-World Shifts


The official implementation of G-TAD: Sub-Graph Localization for Temporal Action Detection

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

Structured Attention Composition for Temporal Action Localization

Anomaly Crossing: New Horizons for Video Anomaly Detection as Cross-domain Few-shot Learning

Frequency Selective Augmentation for Video Representation Learning


Dictionary based sentiment analysis that considers valence shifters

Telehealth Before and During the COVID-19 Pandemic: Analysis of Health Care Workers' Opinions

Feeling Like it is Time to Reopen Now? COVID-19 New Normal Scenarios Based on Reopening Sentiment Analytics

Twitter and Census Data Analytics to Explore Socioeconomic Factors for Post-COVID-19 Reopening Sentiment

Interjections and emojis in Nigerian online communication

Identifying the sentiment styles of YouTube's vloggers

Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks

Contrarian effect in opinion forming: insights from Greta Thunberg phenomenon

Anti-noise window: Subjective perception of active noise reduction and effect of informational masking

Using Localized Twitter Activity for Red Tide Impact Assessment

How Mass Public Shooters Use Social Media: Exploring Themes and Future Directions


Cerebras-GPT: Open Compute-Optimal Language Models Trained on the Cerebras Wafer-Scale Cluster

SlimPajama-DC: Understanding Data Combinations for LLM Training

BTLM-3B-8K: 7B Parameter Performance in a 3B Parameter Model


Pleiotropy-informed conditional and conjunctional false discovery rate

Polygenic overlap and shared genetic loci between loneliness, severe mental disorders, and cardiovascular disease risk factors suggest shared molecular mechanisms

The genetic architecture of the human thalamus and its overlap with ten common brain disorders

Characterizing the Genetic Overlap Between Psychiatric Disorders and Sleep-Related Phenotypes

Identification of novel genomic risk loci shared between common epilepsies and psychiatric disorders

Genetic Overlap Between Alzheimer's Disease and Depression Mapped Onto the Brain

Evidence for the gut‐skin axis: Common genetic structures in inflammatory bowel disease and psoriasis

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy and improves prediction

Integrative Identification of Genetic Loci Jointly Influencing Diabetes-Related Traits and Sleep Traits of Insomnia, Sleep Duration, and Chronotypes


Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

Projected GANs Converge Faster

FreGAN: Exploiting Frequency Components for Training GANs under Limited Data

Few-shot Image Generation with Mixup-based Distance Learning

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

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

Smoothing the Generative Latent Space with Mixup-based Distance Learning

Improving the Effectiveness of Deep Generative Data


LTR_retriever is a highly accurate and sensitive program for identification of LTR retrotransposons; The LTR Assembly Index (LAI) is also included in this package.

Assessing genome assembly quality using the LTR Assembly Index (LAI)

TEsorter: An accurate and fast method to classify LTR-retrotransposons in plant genomes

European maize genomes highlight intraspecies variation in repeat and gene content

A high-quality reference genome of wild Cannabis sativa

The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species

The Jasmine (Jasminum sambac) Genome Provides Insight into the Biosynthesis of Flower Fragrances and Jasmonates

基因组蛋白质组与生物信息学报

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

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

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

Decoupling subgenomes within hybrid lavandin provide new insights into speciation and monoterpenoid diversification of Lavandula


Rapid comparison and dereplication of genomes

Disinfection exhibits systematic impacts on the drinking water microbiome

Genome-resolved metagenomics using environmental and clinical samples

Hadza Prevotella require diet-derived microbiota-accessible carbohydrates to persist in mice

bioRxiv : the preprint server for biology

Comparative Genomics Reveals Insights into Induction of Violacein Biosynthesis and Adaptive Evolution in Janthinobacterium

Methylomonadaceae was the active and dominant methanotroph in Tibet lake sediments

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


RDF schema for describing software projects

EDAM: an ontology of bioinformatics operations, types of data and identifiers, topics and formats

Software Citation Principles

Transitive Credit and JSON-LD

The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central

Fourth Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE4)

Git4Voc: Git-based Versioning for Collaborative Vocabulary Development


Firmware for LibreSolar BMS boards based on bq769x0, bq769x2 or ISL94202


Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

Learning to Compare: Relation Network for Few-Shot Learning

A Closer Look at Few-shot Classification

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

A Baseline for Few-Shot Image Classification

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

Prototype Rectification for Few-Shot Learning

Leveraging the Feature Distribution in Transfer-based Few-Shot Learning

Transductive Information Maximization For Few-Shot Learning


On-chain atomic swaps for Decred and other cryptocurrencies.

Cross-chain deals and adversarial commerce

A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs

A Blueprint for Interoperable Blockchains

Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps

Cross-chain Swaps with Preferences

Transferable Cross-Chain Options


AMD OpenNIC Shell includes the HDL source files

Taurus: a data plane architecture for per-packet ML

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

LightRW: FPGA Accelerated Graph Dynamic Random Walks

Proceedings of the ACM on Management of Data

EJ-FAT Joint ESnet JLab FPGA Accelerated Transport Load Balancer


Metabolite Atlas Main Repository

Microbial Ecology on Solar Panels in Berkeley, CA, United States

A Defined Medium for Cultivation and Exometabolite Profiling of Soil Bacteria

Substrate Utilization and Competitive Interactions Among Soil Bacteria Vary With Life-History Strategies

Root morphology and exudate availability is shaped by particle size and chemistry in Brachypodium distachyon


Colorblind-Friendly Color Maps for R

Correlates of Health-Protective Behavior During the Initial Days of the COVID-19 Outbreak in Norway

Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities

Motixafortide and G-CSF to mobilize hematopoietic stem cells for autologous transplantation in multiple myeloma: a randomized phase 3 trial

Functional meta-omics provide critical insights into long- and short-read assemblies

Characterization and evolutionary origin of novel C2H2 zinc finger protein (ZNF648) required for both erythroid and megakaryocyt differentiation in humans

Hematological and gene co-expression network analyses of high-risk beef cattle defines immunological mechanisms and biological complexes involved in bovine respiratory disease and weight gain

Temporal Comparison of Microbial Community Structure in an Australian Winery

Synergistic effect of short- and long-read sequencing on functional meta-omics


Search client for the ESGF Search API


Bluetooth experimentation framework for Broadcom and Cypress chips.

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

Inside job: diagnosing bluetooth lower layers using off-the-shelf devices

Attacks on Wireless Coexistence: Exploiting Cross-Technology Performance Features for Inter-Chip Privilege Escalation

Firmware Insider: Bluetooth Randomness is Mostly Random


Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Global vulnerability hotspots: differences and agreement between international indicator-based assessments

Developmental Differentiations of Major Maize Stemborers Due to Global Warming in Temperate and Tropical Climates


Dictionary of attack patterns and primitives for black-box application fault injection and resource discovery.

Discovering Vulnerabilities in COTS IoT Devices through Blackbox Fuzzing Web Management Interface

EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends

Twenty-two years since revealing cross-site scripting attacks: a systematic mapping and a comprehensive survey

Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey


Projections of COVID-19, in standardized format

Evaluating epidemic forecasts in an interval format

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates

The United States COVID-19 Forecast Hub dataset

Interpretable Sequence Learning for COVID-19 Forecasting

Combining probabilistic forecasts of COVID-19 mortality in the United States

European journal of operational research

Inter-Series Attention Model for COVID-19 Forecasting

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA

Short-term forecasting of COVID-19 in Germany and Poland during the second wave - a preregistered study


Spatio Temporal Affinity Fields (CVPR 2019)

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

A Review on Human Pose Estimation


A system for quickly generating training data with weak supervision

Snorkel: Rapid Training Data Creation with Weak Supervision

Data Programming: Creating Large Training Sets, Quickly

Data Programming using Continuous and Quality-Guided Labeling Functions

Infrastructure for Usable Machine Learning: The Stanford DAWN Project

Learning from Imperfect Annotations

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Ground Truth Inference for Weakly Supervised Entity Matching

Bug characterization in machine learning-based systems

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

Stochastic Generalized Adversarial Label Learning


Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Breast Cancer Diagnosis in Two-View Mammography Using End-to-End Trained EfficientNet-Based Convolutional Network

Breast Cancer Dataset, Classification and Detection Using Deep Learning

Beyond Fine-tuning: Classifying High Resolution Mammograms using Function-Preserving Transformations

Multi-Task Fusion for Improving Mammography Screening Data Classification

Meta-repository of screening mammography classifiers

A Novel Fragile Zero-Watermarking Algorithm for Digital Medical Images

An XAI Approach to Deep Learning Models in the Detection of Ductal Carcinoma in Situ.


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

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

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

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

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

IEEE Transactions on Intelligent Transportation Systems

A Comprehensive Survey on Traffic Prediction.

Graph Neural Networks for Intelligent Transportation Systems: A Survey


A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

Deep Semi-Supervised Anomaly Detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection

Explainable Deep Few-shot Anomaly Detection with Deviation Networks

Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation

Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success


Code for Transformer Hawkes Process, ICML 2020.

Transformer Hawkes Process

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM Transactions on Intelligent Systems and Technology

Continuous-time convolutions model of event sequences

Hawkes Process Based on Controlled Differential Equations

An Empirical Study: Extensive Deep Temporal Point Process


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

Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Why is the Mahalanobis Distance Effective for Anomaly Detection?

Extraction of Complex DNN Models: Real Threat or Boogeyman?

Reliable and Trustworthy Machine Learning for Health Using Dataset Shift Detection

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

A Simple Framework for Uncertainty in Contrastive Learning

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

Ensemble-Based Out-of-Distribution Detection


SimpleNet: A Simple Network for Image Anomaly Detection and Localization

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Exploring Plain ViT Reconstruction for Multi-class Unsupervised Anomaly Detection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation


Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

Joint learning of text alignment and abstractive summarization for long documents via unbalanced optimal transport


[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"

REaLTabFormer: Generating Realistic Relational and Tabular Data using Transformers

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

PriSampler: Mitigating Property Inference of Diffusion Models


PyTorch implementation and benchmark of Video Compression

DVC: An End-to-end Deep Video Compression Framework

FVC: A New Framework towards Deep Video Compression in Feature Space

Neural Compression-Based Feature Learning for Video Restoration

RoVISQ: Reduction of Video Service Quality via Adversarial Attacks on Deep Learning-based Video Compression

Low-complexity Deep Video Compression with A Distributed Coding Architecture


Virtual Clothing Try-on with Deep Learning. PyTorch reproduction of SwapNet by Raj et al. 2018. Now with Docker support!

Neural Body Fitting: Unifying Deep Learning and Model-Based Human Pose and Shape Estimation

Look into Person: Joint Body Parsing & Pose Estimation Network and a New Benchmark


[ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

Restormer: Efficient Transformer for High-Resolution Image Restoration

Multi-Stage Progressive Image Restoration

CycleISP: Real Image Restoration via Improved Data Synthesis

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results


DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

Auditory deep sleep stimulation in older adults at home: a randomized crossover trial

Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG

Influence of Channel Selection and Subject’s Age on the Performance of the Single Channel EEG-Based Automatic Sleep Staging Algorithms


Molecular structure optimizer

Improving excited state potential energy surfaces via optimal orbital shapes

Alchemical geometry relaxation

Even order contributions to relative energies vanish for antisymmetric perturbations

The S-diagnostic – an a posteriori error assessment for single-reference coupled-cluster methods


PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Shepherd: A Critic for Language Model Generation

Instruction Fine-Tuning: Does Prompt Loss Matter?

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

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT)

The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic Preference Optimization Dataset Generation


NSGA-Net, a Neural Architecture Search Algorithm

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

NAS evaluation is frustratingly hard

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

High frequency accuracy and loss data of random neural networks trained on image datasets

Adversarial Robustness Assessment of NeuroEvolution Approaches


FC-DenseNet in PyTorch for Semantic Segmentation

U-Net: Convolutional Networks for Biomedical Image Segmentation

Densely Connected Convolutional Networks

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Local Temperature Scaling for Probability Calibration

Langevin Cooling for Domain Translation


Large Language Models Are Human-Level Prompt Engineers

Context-faithful Prompting for Large Language Models

AutoHint: Automatic Prompt Optimization with Hint Generation

MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks

Efficient Prompting Methods for Large Language Models: A Survey

Are Large Language Models Good Prompt Optimizers?

Denevil: Towards Deciphering and Navigating the Ethical Values of Large Language Models via Instruction Learning

Prompt Optimization via Adversarial In-Context Learning


Import qiime2 artifacts to R

Phage-delivered CRISPR-Cas9 for strain-specific depletion and genomic deletions in the gut microbiome

The Transition From Stochastic to Deterministic Bacterial Community Assembly During Permafrost Thaw Succession

Benchmarking urine storage and collection conditions for evaluating the female urinary microbiome

Persistence of a Core Microbiome Through the Ontogeny of a Multi-Host Parasite

A Mediterranean Diet Pattern Improves Intestinal Inflammation Concomitant with Reshaping of the Bacteriome in Ulcerative Colitis: A Randomised Controlled Trial

Compositional Differences in the Oral Microbiome of E-cigarette Users

The upper respiratory tract microbiome of indigenous Orang Asli in north-eastern Peninsular Malaysia

Characterization of Microbial Dynamics and Volatile Metabolome Changes During Fermentation of Chambourcin Hybrid Grapes From Two Pennsylvania Regions

Temporal variations in bacterial community diversity and composition throughout intensive care unit renovations

Efficacy of a topical concentrated surfactant gel on microbial communities in non‐healing diabetic foot ulcers with chronic biofilm infections: A proof‐of‐concept study


Datasets for Large Language Models: A Comprehensive Survey

Graph Meets LLMs: Towards Large Graph Models

TransGPT: Multi-modal Generative Pre-trained Transformer for
  Transportation

Towards Urban General Intelligence: A Review and Outlook of Urban
  Foundation Models


pyOSOAA is a python interface for the Ocean Successive Orders with Atmosphere - Advanced (OSOAA) radiative transfer.


A toolkit for visualizations in materials informatics.

A foundation model for atomistic materials chemistry

MatterGen: a generative model for inorganic materials design

MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures
  and Pressures

Accelerating computational materials discovery with artificial intelligence and cloud high-performance computing: from large-scale screening to experimental validation

Systematic assessment of various universal machine-learning interatomic
  potentials

Probing out-of-distribution generalization in machine learning for
  materials


ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

A Multilevel Empirical Bayesian Approach to Estimating the Unknown Redshifts of 1366 BATSE Catalog Long-duration Gamma-Ray Bursts

Fast fully-reproducible serial/parallel Monte Carlo and MCMC simulations and visualizations via ParaMonte::Python library

ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations

MatDRAM: A pure-MATLAB Delayed-Rejection Adaptive Metropolis-Hastings Markov Chain Monte Carlo Sampler


Knowledge Computing group - MSRA

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

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Bases

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning

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

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering


PyAutoLens: Open Source Strong Gravitational Lensing

AutoLens: automated modeling of a strong lens’s light, mass, and source

Monthly Notices of the Royal Astronomical Society

PyAutoLens: Open-Source Strong Gravitational Lensing

Galaxy structure with strong gravitational lensing: decomposing the internal mass distribution of massive elliptical galaxies

Monthly notices of the Royal Astronomical Society

Astronomy and Astrophysics (0004-6361) - CO, H 2 O, H 2 O + line and dust emission in a z = 3.63 strongly lensed starburst merger at sub-kiloparsec scales

A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses

Automated galaxy-galaxy strong lens modelling: no lens left behind

Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

Testing strong lensing subhalo detection with a cosmological simulation

Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes.


Deep Fact Validation

Knowledge Graph Validation

Towards Knowledge Graphs Validation through Weighted Knowledge Sources

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019


solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

A Simple Framework for Contrastive Learning of Visual Representations

Bootstrap your own latent: A new approach to self-supervised Learning

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Whitening for Self-Supervised Representation Learning


Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Problem-Driven Scenario Clustering in Stochastic Optimization

Detecting brain network communities: Considering the role of information flow and its different temporal scales

A Transfer Learning Framework for Predictive Energy-Related Scenarios in Smart Buildings

IEEE transactions on industry applications

Know Your Clients' behaviours: a cluster analysis of financial transactions

Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

International journal of environmental research and public health

Behavioral and Metabolic Risk Factors for Noncommunicable Diseases among Population in the Republic of Srpska (Bosnia and Herzegovina)

A new PCA-based utility measure for synthetic data evaluation

Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data

Cognitive Relevance Transform for Population Re-Targeting

An Empirical Taxonomy of Common Curb Zoning Configurations in Seattle


A General-Purpose Tool for Formal Concept Analysis

Knowledge cores in large formal contexts

FCA2VEC: Embedding Techniques for Formal Concept Analysis

Drawing Order Diagrams Through Two-Dimension Extension

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure

Towards Ordinal Data Science


Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

Anatomy-specific classification of medical images using deep convolutional nets

International Symposium on Biomedical Imaging

Automated abnormality classification of chest radiographs using deep convolutional neural networks

3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation

CXR Segmentation by AdaIN-Based Domain Adaptation and Knowledge Distillation

Enhancing chest X-ray datasets with privacy-preserving large language
  models and multi-type annotations: a data-driven approach for improved
  classification

Improving segmentation and detection of lesions in CT scans using intensity distribution supervision


The Chuffed CP solver

A Survey on String Constraint Solving

Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs

The optimality of syntactic dependency distances

New First-Order Secure AES Performance Records

IACR Transactions on Cryptographic Hardware and Embedded Systems

Quantum-accelerated constraint programming

Scalable Optimal Deployment in the Cloud of Component-based Applications using Optimization Modulo Theory, Mathematical Programming and Symmetry Breaking

Trap spaces of Boolean networks are conflict-free siphons of their Petri net encoding

Mind Your Path: On (Key) Dependencies in Differential Characteristics

IACR Transactions on Symmetric Cryptology

Cable tree wiring - benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints

Automating Cluster Management with Weave


User manual and example notebooks for the pytket quantum computing toolkit

t|ket⟩: a retargetable compiler for NISQ devices

On the qubit routing problem

Phase Gadget Synthesis for Shallow Circuits

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Quantum Natural Language Processing on Near-Term Quantum Computers

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

lambeq: An Efficient High-Level Python Library for Quantum NLP

Qubit Mapping Based on Subgraph Isomorphism and Filtered Depth-Limited Search

Grammar-aware sentence classification on quantum computers

Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers


An Open-Source Package for Neural Relation Extraction (NRE)

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

Improving Relation Extraction by Pre-trained Language Representations

Relation Adversarial Network for Low Resource Knowledge Graph Completion

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Representation Learning for Natural Language Processing


Analyses your Java applications for open-source dependencies with known vulnerabilities, using both static analysis and testing to determine code context and usage for greater accuracy.  https://eclipse.github.io/steady/

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Detection, assessment and mitigation of vulnerabilities in open source dependencies

Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories

VulnEx: Exploring Open-Source Software Vulnerabilities in Large Development Organizations to Understand Risk Exposure

Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers


Mobile Security Framework (MobSF) is an automated, all-in-one mobile application (Android/iOS/Windows) pen-testing, malware analysis and security assessment framework capable of performing static and dynamic analysis.

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps

A Survey of Practical Formal Methods for Security

Betrayed by the Guardian: Security and Privacy Risks of Parental Control Solutions

Asia-Pacific Computer Systems Architecture Conference

Let the Cat out of the Bag: Popular Android IoT Apps under Security Scrutiny

A Multi-Tier Security Analysis of Official Car Management Apps for Android

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite


This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Gaitgraph: Graph Convolutional Network for Skeleton-Based Gait Recognition

DatasetDM: Synthesizing Data with Perception Annotations Using Diffusion Models

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems


PyTorch pre-trained model for real-time interest point detection, description, and sparse tracking (https://arxiv.org/abs/1712.07629)

SuperPoint: Self-Supervised Interest Point Detection and Description

SuperGlue: Learning Feature Matching with Graph Neural Networks

Combining Feature Correspondence with Parametric Chamfer Alignment: Hybrid Two-Stage Registration for Ultra-Widefield Retinal Images

IEEE transactions on bio-medical engineering

RaP-Net: A Region-wise and Point-wise Weighting Network to Extract Robust Features for Indoor Localization

Robust Alignment of Multi-Exposed Images With Saturated Regions

Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping—A Benchmark Study

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction


End-to-End Vectorized HD-map Construction with Piecewise Bezier Curve

PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction

MachMap: End-to-End Vectorized Solution for Compact HD-Map Construction

Is Your HD Map Constructor Reliable under Sensor Corruptions?


A package to evaluate factuality of long-form generation. Original implementation of our EMNLP 2023 paper "FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation"

GPT-4 Technical Report

Evaluating Very Long-Term Conversational Memory of LLM Agents

FLAME: Factuality-Aware Alignment for Large Language Models

Collaborative decoding of critical tokens for boosting factuality of
  large language models

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models

A Modular Approach for Multimodal Summarization of TV Shows


Code for conservative Q-learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

d3rlpy: An Offline Deep Reinforcement Learning Library

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

Mildly Conservative Q-Learning for Offline Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning


Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Residual Dense Network for Image Restoration

A Survey of Deep Learning for Scientific Discovery

edge-SR: Super-Resolution For The Masses

Back-Projection Pipeline

Multi-Grid Back-Projection Networks


T2F: text to face generation using Deep Learning

Progressive Growing of GANs for Improved Quality, Stability, and Variation

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

Text2FaceGAN: Face Generation from Fine Grained Textual Descriptions

FTGAN: A Fully-trained Generative Adversarial Networks for Text to Face Generation

Face2Text: Collecting an Annotated Image Description Corpus for the Generation of Rich Face Descriptions

Text-to-Face Generation with StyleGAN2

Multi-Attributed and Structured Text-to-Face Synthesis


Deformable GANs for Pose-based Human Image Generation

Appearance and Pose-Conditioned Human Image Generation using Deformable GANs

A Shared Representation for Photorealistic Driving Simulators


a tool for designing primer panels for multiplex PCR.

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

bioRxiv : the preprint server for biology

Development of an amplicon-based sequencing approach in response to the global emergence of human monkeypox virus

medRxiv : the preprint server for health sciences


PubLayNet: largest dataset ever for document layout analysis

Image-based table recognition: data, model, and evaluation

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

ICDAR 2021 Competition on Scientific Literature Parsing

Deep learning for table detection and structure recognition: A survey


Track and predict the energy consumption and carbon footprint of training deep learning models.

Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

Unraveling the Hidden Environmental Impacts of AI Solutions for Environment Life Cycle Assessment of AI Solutions

Towards Climate Awareness in NLP Research

Yes we care!-Certification for machine learning methods through the care label framework

MEDIAR: Harmony of Data-Centric and Model-Centric for Multi-Modality Microscopy

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

Efficiency is Not Enough: A Critical Perspective of Environmentally Sustainable AI

Segmenting two-dimensional structures with strided tensor networks

Efficient Multi-Organ Segmentation Using SpatialConfiguration-Net with Low GPU Memory Requirements


Antibiotic resistance prediction in minutes

Antibiotic resistance prediction for Mycobacterium tuberculosis from genome sequence data with Mykrobe

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Prevalence and genetic basis of first-line drug resistance of Mycobacterium tuberculosis in Ca Mau, Vietnam

Persistent Salmonella enterica serovar Typhi sub-populations within host interrogated by whole genome sequencing and metagenomics

Targeted sequencing from cerebrospinal fluid for rapid identification of drug-resistant tuberculous meningitis


Scanomatic

Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale

A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance

Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation

Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis


Korean BERT pre-trained cased (KoBERT)

KLUE: Korean Language Understanding Evaluation

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

KR-BERT: A Small-Scale Korean-Specific Language Model

Pre-training Polish Transformer-based Language Models at Scale

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment


SolarPILOT power tower layout and optimization tool


sparse communication library

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

The PetscSF Scalable Communication Layer

GPU Algorithms for Efficient Exascale Discretizations

Multirate timestepping for the incompressible Navier-Stokes equations in overlapping grids

Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics

Adaptive Surface Fitting and Tangential Relaxation for High-Order Mesh Optimization

Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver

Stability analysis of a singlerate and multirate predictor-corrector scheme for overlapping grids

Mixed-Order Meshes through rp-adaptivity for Surface Fitting to Implicit
  Geometries


Not HDF5

A connectome and analysis of the adult Drosophila central brain

Labkit: Labeling and Segmentation Toolkit for Big Image Data

Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain

A Hitchhiker`s Guide through the Bio-image Analysis Software Universe

Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy

OME-NGFF: scalable format strategies for interoperable bioimaging data

How innovations in methodology offer new prospects for volume electron microscopy

Deep Lake: a Lakehouse for Deep Learning

Image-based representation of massive spatial transcriptomics datasets

Time to Upgrade: A New OpenSPIM Guide to Build and Operate Advanced OpenSPIM Configurations


Microscope control software

Mammalian gene expression variability is explained by underlying cell state

A transcriptomic axis predicts state modulation of cortical interneurons

Effects of individual base-pairs on in vivo target search and destruction kinetics of bacterial small RNA

Perturb-tracing enables high-content screening of multiscale 3D genome regulators

Volumetric super-resolution imaging by serial ultrasectioning and stochastic optical reconstruction microscopy in mouse neural tissue


WPS services related to hydrological modeling


A package for combining dithered images into a single image

Palomar Gattini-IR: Survey Overview, Data Processing System, On-sky Performance and First Results

Publications of the Astronomical Society of the Pacific

From Images to Dark Matter: End-to-end Inference of Substructure from Hundreds of Strong Gravitational Lenses

The interstellar medium of high-redshift galaxies: Gathering clues from C III] and [C II] lines


Logical manifestations of topological concepts, and other things, via the univalent point of view.

Domain Theory in Constructive and Predicative Univalent Foundations

Cantor-Bernstein implies Excluded Middle

On Small Types in Univalent Foundations

Predicative Aspects of Order Theory in Univalent Foundations

The Cantor-Schröder-Bernstein Theorem for ∞-groupoids

The Scott model of PCF in univalent type theory

Set-Theoretic and Type-Theoretic Ordinals Coincide

Partial Functions and Recursion in Univalent Type Theory

Injective types in univalent mathematics

Domain theory in univalent foundations I: Directed complete posets and
  Scott's D_∞


Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions

SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

Sex-Related Differences in White Matter Asymmetry and Its Implications for Verbal Working Memory in Psychosis High-Risk State

Microstructural alterations in medial forebrain bundle are associated with interindividual pain sensitivity

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

Sleep Quality Disturbances Are Associated with White Matter Alterations in Veterans with Post-Traumatic Stress Disorder and Mild Traumatic Brain Injury

TractoSCR: A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography


An autoML framework & toolkit for machine learning on graphs.

Automated Machine Learning on Graphs: A Survey

AutoGL: A Library for Automated Graph Learning

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search

Automated Graph Machine Learning: Approaches, Libraries and Directions

Adversarially Robust Neural Architecture Search for Graph Neural Networks


Graphics Processing Units Molecular Dynamics

Influence of thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Zenodo (CERN European Organization for Nuclear Research)

Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials

Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon

Improving the accuracy of the neuroevolution machine learning potential for multi-component systems

Thermal transport in MoS2 from molecular dynamics using different empirical potentials

Reduced thermal conductivity of supported and encased monolayer and bilayer MoS2

Heat transport in pristine and polycrystalline single-layer hexagonal boron nitride

Physical chemistry chemical physics : PCCP

Thermal transport properties of single-layer black phosphorus from extensive molecular dynamics simulations

Modelling and Simulation in Materials Science and Engineering

Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine learning molecular dynamics simulations


Emulator for Software-Defined Wireless Networks

Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation

Prioritization Based Task Offloading in UAV-Assisted Edge Networks


Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation

Characterizing Cryptocurrency Exchange Scams

Ethereum Name Service: the Good, the Bad, and the Ugly

Detecting Phishing Sites Using ChatGPT

Large-Scale Analysis of Pop-Up Scam on Typosquatting URLs

Proceedings of the 14th International Conference on Availability, Reliability and Security

An Evasion Attack against ML-based Phishing URL Detectors.

PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks

International Conference on Communications, Computing, Cybersecurity, and Informatics

Typosquatting for Fun and Profit: Cross-Country Analysis of Pop-Up Scam

An AI-based, Multi-stage detection system of banking botnets

Peek-a-boo, I Can See You, Forger: Influences of Human Demographics, Brand Familiarity and Security Backgrounds on Homograph Recognition.


Open-source library for analyzing the results produced by ABINIT

Many-body perturbation theory calculations using the yambo code

Journal of physics. Condensed matter : an Institute of Physics journal

Phonon-limited electron mobility in Si, GaAs and GaP using plane waves and Bloch states

Automation methodologies and large-scale validation for GW: Towards high-throughput GW calculations

Convergence and pitfalls of density functional perturbation theory phonons calculations from a high-throughput perspective

Assessing the quality of relaxation-time approximations with fully automated computations of phonon-limited mobilities

Berry flux diagonalization: Application to electric polarization

Second-harmonic generation tensors from high-throughput density-functional perturbation theory


Creative Commons Attribution 4.0 International

Data and code behind the articles and graphics at FiveThirtyEight

Similarity encoding for learning with dirty categorical variables

Encoding high-cardinality string categorical variables

IEEE Transactions on Knowledge and Data Engineering

Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

Online Prediction with Selfish Experts

Analyzing Film Adaptation through Narrative Alignment

Association of state-level factors with rate of firearm-related deaths

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation

International Conference on Computational Linguistics


Weakly Supervised Learning On Images

Exploring the Limits of Weakly Supervised Pretraining

Improving robustness against common corruptions by covariate shift adaptation

If your data distribution shifts, use self-learning

Beyond In-Domain Scenarios: Robust Density-Aware Calibration

Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding


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

Interpretable Image Classification with Differentiable Prototypes Assignment

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

Concept-level Debugging of Part-Prototype Networks

Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations

Pixel-Grounded Prototypical Part Networks


TabLinker - Supervised Excel/CSV to RDF Converter

Lifting Tabular Data to RDF: A Survey

Crowdsourcing chart digitizer: task design and quality control for making legacy open data machine-readable

International Journal of Data Science and Analytics

From one star to three stars: Upgrading legacy open data using crowdsourcing

PROCEEDINGS OF THE 2015 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (IEEE DSAA 2015)

An Easy & Collaborative RDF Data Entry Method using the Spreadsheet Metaphor

Mapping Spreadsheets to RDF: Supporting Excel in RML


SPP_net : Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition

Convolutional Feature Masking for Joint Object and Stuff Segmentation

ContextLocNet: Context-Aware Deep Network Models for Weakly Supervised Localization

LOGO-Net: Large-scale Deep Logo Detection and Brand Recognition with Deep Region-based Convolutional Networks


Code clone detection; clone-related bug detection; sematic clone analysis

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

Proposal of Automatic Offloading for Function Blocks of Applications

When Deep Learning Meets Smart Contracts

International Conference on Automated Software Engineering


Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

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

Learning Off-Policy with Online Planning

On-Policy Model Errors in Reinforcement Learning

IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness

Balancing Value Underestimation and Overestimationwith Realistic Actor-Critic

Locality Sensitive Sparse Encoding for Learning World Models Online


Transcriptome Annotation by Modular Algorithms (for long read RNA sequencing data)

Opportunities and challenges in long-read sequencing data analysis

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

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus

A reference genome for the critically endangered woylie, Bettongia penicillata ogilbyi

Profiles of phenolics and their synthetic pathways in Asparagus officinalis L.


Interactive, web tool for exploring pan-genome of bacterial strains

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

Evolutionary origins of the emergent ST796 clone of vancomycin resistant Enterococcus faecium

Genome-Wide Analyses Reveal Genes Subject to Positive Selection in Pasteurella multocida

Genome Sequencing and Comparative Genomics of Indian Isolates of Brucella melitensis


An application to visualize scholar articles as an interactive graph

A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

IEEE transactions on biomedical circuits and systems

HOTS: A Hierarchy of Event-Based Time-Surfaces for Pattern Recognition

IEEE transactions on pattern analysis and machine intelligence

EMVS: Event-Based Multi-View Stereo—3D Reconstruction with an Event Camera in Real-Time

International Journal of Computer Vision

An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data

A Motion-Based Feature for Event-Based Pattern Recognition

Event-Based Stereo Depth Estimation Using Belief Propagation

Invariant feature extraction from event based stimuli


Ultra-fast de novo assembler using long noisy reads

Minimap2: pairwise alignment for nucleotide sequences

The sea cucumber genome provides insights into morphological evolution and visceral regeneration

Haplotype-resolved genome analyses of a heterozygous diploid potato

SMARTdenovo: a de novo assembler using long noisy reads

de novo assembly and population genomic survey of natural yeast isolates with the Oxford Nanopore MinION sequencer

The origin, diversification and adaptation of a major mangrove clade (Rhizophoreae) revealed by whole-genome sequencing.

Chromosome-level genome assembly of a parent species of widely cultivated azaleas

Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome

Comprehensive evaluation of non-hybrid genome assembly tools for third-generation PacBio long-read sequence data

Characterization of a Y-specific duplication/insertion of the anti-Mullerian hormone type II receptor gene based on a chromosome-scale genome assembly of yellow perch, Perca flavescens