Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

SSD: Single Shot MultiBox Detector

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

YOLOv3: An Incremental Improvement

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks


A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree

TypeWriter: Neural Type Prediction with Search-based Validation

LExecutor: Learning-Guided Execution

SAPIENTML: Synthesizing Machine Learning Pipelines by Learning from Human-Written Solutions

Proceedings of the 44th International Conference on Software Engineering

AdaptivePaste: Code Adaptation through Learning Semantics-aware Variable
  Usage Representations


An open framework for Federated Learning.

A Field Guide to Federated Optimization

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

OpenFL: the open federated learning library

Personalized Federated Learning With Graph

Machine Learning in Prostate MRI for Prostate Cancer: Current Status and Future Opportunities

FL_PyTorch: optimization research simulator for federated learning

Proceedings of the 2nd ACM International Workshop on Distributed Machine Learning

Federated Learning for Computationally Constrained Heterogeneous Devices: A Survey

A Comprehensive Review and a Taxonomy of Edge Machine Learning: Requirements, Paradigms, and Techniques

Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions

Federated Learning for Medical Image Analysis: A Survey


IOTA Reference Implementation

Distributed Ledger Technology for IoT: Parasite Chain Attacks

Properties of the Tangle for Uniform Random and Random Walk Tip Selection

International Congress on Blockchain and Applications

StreamNet: A DAG System with Streaming Graph Computing

Committee Selection in DAG Distributed Ledgers and Applications

A survey of data transfer and storage techniques in prevalent
  cryptocurrencies and suggested improvements

Understanding blockchain: definitions, architecture, design, and system
  comparison


GNU toolchain for RISC-V, including GCC

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

An Instruction Set Extension to Support Software-Based Masking

IACR transactions on cryptographic hardware and embedded systems

Approximate CPU Design for IoT End-Devices with Learning Capabilities

Test-driving RISC-V Vector hardware for HPC

RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography

Backporting RISC-V Vector assembly

MAMBO-V: Dynamic Side-Channel Leakage Analysis on RISC-V

RISC-Vlim, a RISC-V Framework for Logic-in-Memory Architectures


The Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

Towards Performance Portable Programming for Distributed Heterogeneous
  Systems


FastAPI framework, high performance, easy to learn, fast to code, ready for production

Efficient Memory Management for Large Language Model Serving with PagedAttention

OPTIMADE, an API for exchanging materials data

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Translation Word-Level Auto-Completion: What can we achieve out of the
  box?

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face

JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis

Deep Anatomical Federated Network (Dafne): an open client/server
  framework for the continuous collaborative improvement of deep-learning-based
  medical image segmentation

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness


Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

Deep Patch Visual Odometry

cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Characterization and modeling of an edge computing mixed reality workload

Variant Analysis and Strategic Clustering to Sub-Lineage of Double Mutant Strain B.1.617 of SARS-CoV-2


R Interface to Python

ROC and AUC with a Binary Predictor: a Potentially Misleading Metric

scds: Computational Annotation of Doublets in Single Cell RNA Sequencing Data

Advances in spatial transcriptomic data analysis

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

Learning interpretable cellular and gene signature embeddings from single-cell transcriptomic data

A Tidy Data Model for Natural Language Processing using cleanNLP

TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq

Dynamic Changes in Uterine NK Cell Subset Frequency and Function Over the Menstrual Cycle and Pregnancy

Applying deep neural networks to predict incidence and phenology of plant pests and diseases

Lilikoi V2.0: a deep learning–enabled, personalized pathway-based R package for diagnosis and prognosis predictions using metabolomics data


A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias

Adversarial Robustness Toolbox v1.0.0

Bias in Machine Learning Software: Why? How? What to do?

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

Fairway: a way to build fair ML software

Fair Bayesian Optimization

Fairness via Representation Neutralization

FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions

The Road to Explainability is Paved with Bias: Measuring the Fairness of Explanations

Conference on Fairness, Accountability and Transparency


An extensible multilanguage static code analyzer.

Bellwethers: A Baseline Method For Transfer Learning

Learning Quick Fixes from Code Repositories

Less is more: Minimizing code reorganization using XTREE

A Critical Comparison on Six Static Analysis Tools: Detection,
  Agreement, and Precision

On the adequacy of static analysis warnings with respect to code smell prediction

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

Simpler Transfer Learning (Using "Bellwethers").

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

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite

OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics

ACM transactions on software engineering and methodology


OpenRefine is a free, open source power tool for working with messy data and improving it

A Survey of Data Quality Measurement and Monitoring Tools

Adding value to Linked Open Data using a multidimensional model approach based on the RDF Data Cube vocabulary

Mapping longitudinal scientific progress, collaboration and impact of the Alzheimer’s disease neuroimaging initiative

Analyzing Digital Collections Entrances: What Gets Used and Why It Matters

A survey of OpenRefine reconciliation services

Wisdom of Crowds Detects COVID-19 Severity Ahead of Officially Available
  Data

Mapping the co-evolution of artificial intelligence, robotics, and the internet of things over 20 years (1998-2017)

How well does LLM generate security tests?

Going beyond zero-shot MT: combining phonological, morphological and semantic factors. The UdS-DFKI System at IWSLT 2017

International Workshop on Spoken Language Translation

SemTUI: a Framework for the Interactive Semantic Enrichment of Tabular
  Data


Peer-to-peer hypermedia protocol

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Blockchain and Property in 2018: At the End of the Beginning

Innovations: Technology, Governance, Globalization

EdgeMediChain: A Hybrid Edge Blockchain-Based Framework for Health Data Exchange

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms

IEEE transactions on network and service management/IEEE eTransactions on network and service management

A Controllable Secure Blockchain-Based Electronic Healthcare Records Sharing Scheme

Trustable and Automated Machine Learning Running with Blockchain and Its Applications

The Benefits of Deploying Smart Contracts on Trusted Third Parties

Portuguese SKA white book


A General-purpose Parallel and Heterogeneous Task Programming System

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

IEEE transactions on parallel and distributed systems

Hermes-3: Multi-component plasma simulations with BOUT++

Pipeflow: An Efficient Task-Parallel Pipeline Programming Framework
  using Modern C++

Formal Verification of Chase-Lev Deque in Concurrent Separation Logic


Deep probabilistic analysis of single-cell and spatial omics data

Deep generative modeling for single-cell transcriptomics

Joint probabilistic modeling of single-cell multi-omic data with totalVI

Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models

Interpretable factor models of single-cell RNA-seq via variational autoencoders

Normalizing and denoising protein expression data from droplet-based single cell profiling

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

scvi-tools: a library for deep probabilistic analysis of single-cell omics data

A comprehensive benchmarking with practical guidelines for cellular deconvolution of spatial transcriptomics

Zenodo (CERN European Organization for Nuclear Research)

PeakVI: A deep generative model for single-cell chromatin accessibility analysis


jsoup: the Java HTML parser, built for HTML editing, cleaning, scraping, and XSS safety.

Automatic test improvement with DSpot: a study with ten mature open-source projects

Putting the Semantics into Semantic Versioning

A comprehensive study of pseudo-tested methods

Cerebro: Static Subsuming Mutant Selection

IEEE transactions on software engineering

Developer-centric test amplification

Evaluating data-flow coverage in spectrum-based fault localization

Commit-Aware Mutation Testing

International Conference on Software Maintenance

An approach and benchmark to detect behavioral changes of commits in continuous integration

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

On the use of commit-relevant mutants


Inference Llama 2 in one file of pure C

Training Compute-Optimal Large Language Models

Mechanistically analyzing the effects of fine-tuning on procedurally
  defined tasks


Parallel solvers for sparse linear systems featuring multigrid methods.

ExaWind: A multifidelity modeling and simulation environment for wind energy

PyAMG: Algebraic Multigrid Solvers in Python

Disks as Inhomogeneous, Anisotropic Gaussian Random Fields

Parallel Performance of Algebraic Multigrid Domain Decomposition (AMG-DD)

Parallel performance of algebraic multigrid domain decomposition

Numerical linear algebra with applications

Space-time hexahedral finite element methods for parabolic evolution
  problems

Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems

Analysis of optimal preconditioners for CutFEM

Optimal preconditioners for a Nitsche stabilized fictitious domain
  finite element method


Tensorforce: a TensorFlow library for applied reinforcement learning

Dopamine: A Research Framework for Deep Reinforcement Learning

Deep Reinforcement Learning for Join Order Enumeration

International Conference on Management of Data

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Designing an adaptive production control system using reinforcement learning

Deep reinforcement learning in fluid mechanics: A promising method for both active flow control and shape optimization

水动力学研究与进展.B辑

MushroomRL: Simplifying Reinforcement Learning Research

Adaptive Behavior Generation for Autonomous Driving using Deep Reinforcement Learning with Compact Semantic States

LIFT: Reinforcement Learning in Computer Systems by Learning From Demonstrations


Web app for visualizing pathogen evolution

A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

Genomic epidemiology supports multiple introductions and cryptic transmission of Zika virus in Colombia

Whole-Genome-Based Helicobacter pylori Geographic Surveillance: A Visualized and Expandable Webtool

Genetic and Antigenic Characterization of an Expanding H3 Influenza A Virus Clade in U.S. Swine Visualized by Nextstrain

A Multiplexed, Tiled PCR Method for Rapid Whole-Genome Sequencing of Infectious Spleen and Kidney Necrosis Virus (ISKNV) in Tilapia

SARS-CoV-2 Within-Host and in vitro Genomic Variability and Sub-Genomic RNA Levels Indicate Differences in Viral Expression Between Clinical Cohorts and in vitro Culture

SARS-CoV-2 Pandemic Tracing in Italy Highlights Lineages with Mutational Burden in Growing Subsets

International journal of molecular sciences

Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India


NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

The Deep Learning Compiler: A Comprehensive Survey

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

Heterogeneous Ground and Air Platforms, Homogeneous Sensing: Team CSIRO Data61's Approach to the DARPA Subterranean Challenge

Adopting the YOLOv4 Architecture for Low-Latency Multispectral Pedestrian Detection in Autonomous Driving

MQBench: Towards Reproducible and Deployable Model Quantization Benchmark

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale

Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active
  Vision and Human Location Regression

Low-Precision Hardware Architectures Meet Recommendation Model Inference at Scale


Liquid Types For Haskell

Bounded Refinement Types

Theorem proving for all: equational reasoning in liquid Haskell (functional pearl)

Local Refinement Typing

Gradual Liquid Type Inference

Proceedings of the ACM on programming languages

An Introduction to Liquid Haskell

Structural and semantic pattern matching analysis in Haskell

VerifyThis 2019: A Program Verification Competition (Extended Report)


End-to-End Speech Processing Toolkit

Hierarchical Conditional End-to-End ASR with CTC and Multi-Granular Subword Units

BERT Meets CTC: New Formulation of End-to-End Speech Recognition with Pre-trained Masked Language Model

BECTRA: Transducer-based End-to-End ASR with BERT-Enhanced Encoder


Robust Speech Recognition via Large-Scale Weak Supervision

GPU-accelerated Guided Source Separation for Meeting Transcription

ASR2K: Speech Recognition for Around 2000 Languages without Audio

Lhotse: a speech data representation library for the modern deep learning ecosystem

Fast and parallel decoding for transducer

Zipformer: A faster and better encoder for automatic speech recognition

SALM: Speech-augmented Language Model with In-context Learning for
  Speech Recognition and Translation

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch

Blank-regularized CTC for Frame Skipping in Neural Transducer

Libriheavy: a 50,000 hours ASR corpus with punctuation casing and
  context


Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.

AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations

On the reaction to deprecation of clients of 4 + 1 popular Java APIs and the JDK

TermGenie – a web-application for pattern-based ontology class generation

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

Dependency Injection for Programming by Optimization

Integrating formal specifications into applications: the ProB Java API

mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale

Cataloging dependency injection anti-patterns in software systems

Engineering testable and maintainable software with Spring Boot and React

CodeFuse-Query: A Data-Centric Static Code Analysis System for
  Large-Scale Organizations


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

A comparison of web privacy protection techniques

Вестник Тюменского государственного университета. Социально-экономические и правовые исследования

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

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

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

Proceedings on Privacy Enhancing Technologies

SpeedReader: Reader Mode Made Fast and Private

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

TrackerSift: Untangling Mixed Tracking and Functional Web Resources


Apache Mesos

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

On Byzantine fault tolerance in multi-master Kubernetes clusters

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds


A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

Sustainable data analysis with Snakemake

Genomics of hosts-pathogen interactions: challenges and opportunities across ecological and spatiotemporal scales

Using prototyping to choose a bioinformatics workflow management system

uap: reproducible and robust HTS data analysis

Recent Advances in Data Engineering for Networking

Molssi and bioexcel workflow workshop 2018 report

Converting Biomedical Text Annotated Resources into FAIR Research Objects with an Open Science Platform

The bdpar Package: Big Data Pipelining Architecture for R

Criteria for the Evaluation of Workflow Management Systems for Scientific Data Analysis

Journal of bioinformatics and systems biology


Automatic extraction of relevant features from time series:

Distributed and parallel time series feature extraction for industrial big data applications.

Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients

Dataset: Rare Event Classification in Multivariate Time Series

Actionable and interpretable fault localization for recurring failures in online service systems

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

Feature engineering workflow for activity recognition from synchronized inertial measurement units

Communications in computer and information science

Who is Charging My Phone? Identifying Wireless Chargers via Fingerprinting

Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


The rewritten engine, originally for tensorflow. Now all other backends have been ported here.

Accelerating Self-Play Learning in Go

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Evaluating Superhuman Models with Consistency Checks

Representation Matters: The Game of Chess Poses a Challenge to Vision
  Transformers

Neural Networks for Chess

MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello,
  and Atari Games


RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.

Longitudinal Multi-omics Analyses Identify Responses of Megakaryocytes, Erythroid Cells, and Plasmablasts as Hallmarks of Severe COVID-19

FMN reduces Amyloid-β toxicity in yeast by regulating redox status and cellular metabolism

Streamlining data-intensive biology with workflow systems

Lipid Nanoparticles Deliver the Therapeutic VEGFA mRNA In Vitro and In Vivo and Transform Extracellular Vesicles for Their Functional Extensions

The pollen virome of wild plants and its association with variation in floral traits and land use

Whole-genome Sequencing of Follicular Thyroid Carcinomas Reveal Recurrent Mutations in MicroRNA Processing Subunit DGCR8

The Journal of clinical endocrinology and metabolism/Journal of clinical endocrinology & metabolism

The gut microbiota instructs the hepatic endothelial cell transcriptome

Adaptation of the emerging pathogenic yeast Candida auris to high caspofungin concentrations correlates with cell wall changes

XPRESSyourself: Enhancing, standardizing, and automating ribosome profiling computational analyses yields improved insight into data

The Biological Effects of Complete Gasoline Engine Emissions Exposure in a 3D Human Airway Model (MucilAirTM) and in Human Bronchial Epithelial Cells (BEAS-2B)


cvc5 is an open-source automatic theorem prover for Satisfiability Modulo Theories (SMT) problems.

cvc5: A Versatile and Industrial-Strength SMT Solver

Tools and Algorithms for the Construction and Analysis of Systems

StringFuzz: A Fuzzer for String Solvers

On the Unusual Effectiveness of Type-aware Mutations for Testing SMT Solvers

Generative type-aware mutation for testing SMT solvers

ESBMC: Scalable and Precise Test Generation based on the Floating-Point Theory

JavaSMT 3: Interacting with SMT Solvers in Java

CVC4 at the SMT Competition 2018

Fast and Reliable Formal Verification of Smart Contracts with the Move Prover

An Efficient Floating-Point Bit-Blasting API for Verifying C Programs

DRAT-based Bit-Vector Proofs in CVC4


Computing with Python functions.

Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence

SBI -- A toolkit for simulation-based inference

FISH-quant v2: a scalable and modular tool for smFISH image analysis

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop

Accurate somatic variant detection using weakly supervised deep learning

Large-scale correlation network construction for unraveling the coordination of complex biological systems

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

High Order Singular Value Decomposition for Plant Biodiversity Estimation

An Academic Performance Indicator Using Flexible Multi-Criteria Methods


Reproduce DeFi hacked incidents using Foundry.

SoK: Cross-Chain Bridging Architectural Design Flaws and Mitigations


Open source annotation tool for machine learning practitioners.

Garbage in, garbage out?

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

A Survey of Deep Learning for Scientific Discovery

WNUT-2020 Task 2: Identification of Informative COVID-19 English Tweets

Can We Automate Scientific Reviewing?

"Garbage In, Garbage Out" Revisited: What Do Machine Learning Application Papers Report About Human-Labeled Training Data?

SWSR: A Chinese Dataset and Lexicon for Online Sexism Detection

PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support

End-to-end Named Entity Recognition from English Speech

"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

Multimodal Hate Speech Detection in Greek Social Media


A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Automating Biomedical Data Science Through Tree-Based Pipeline Optimization

Benchmark and Survey of Automated Machine Learning Frameworks

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Proceedings of the ACM on human-computer interaction

A machine learning Automated Recommendation Tool for synthetic biology

AutoML to Date and Beyond: Challenges and Opportunities

Benchmarking Automatic Machine Learning Frameworks

Considerations for automated machine learning in clinical metabolic profiling: Altered homocysteine plasma concentration associated with metformin exposure

How Much Automation Does a Data Scientist Want?


Brotli compression format

Interpretation-enabled Software Reuse Detection Based on a Multi-Level
  Birthmark Model

Safer at any speed: automatic context-aware safety enhancement for Rust

Revisiting Data Compression in Column-Stores


A fast image processing library with low memory needs.

Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

ACROBAT -- a multi-stain breast cancer histological whole-slide-image
  data set from routine diagnostics for computational pathology

Graalvisor: Virtualized Polyglot Runtime for Serverless Applications

Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images


A static type analyzer for Python code

PyART: Python API Recommendation in Real-Time

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

DocTer: documentation-guided fuzzing for testing deep learning API functions

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

Static inference meets deep learning

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Taming type annotations in gradual typing

Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis

Leveraging Documentation to Test Deep Learning Library Functions

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference
  Tools

Generative Type Inference for Python


End-to-End Speech Processing Toolkit

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset,
  task and baselines

A Comparative Study on Transformer vs RNN in Speech Applications

Automatic Speech Recognition & Understanding

SpeechBrain: A General-Purpose Speech Toolkit

Recent Developments on ESPnet Toolkit Boosted by Conformer

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

A Survey on Neural Speech Synthesis

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

ESPnet-ST: All-in-One Speech Translation Toolkit

Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks


the AI-native open-source embedding database

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large
  Language Models

EcoAssistant: Using LLM Assistant More Affordably and Accurately

Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design

BioinspiredLLM: Conversational Large Language Model for the Mechanics of
  Biological and Bio-inspired Materials

An Empirical Evaluation of Columnar Storage Formats

Domain-specific ChatBots for Science using Embeddings

ReGAL: Refactoring Programs to Discover Generalizable Abstractions


Mantis Bug Tracker (MantisBT)

Fragment-Based Test Generation for Web Apps

Automated and Manual Testing in the Development of the Research Software RCE

Fixing Vulnerabilities Potentially Hinders Maintainability


Web-app for processing, logging and visualising energy, temperature and other environmental data


Probabilistic time series modeling in Python

WaveNet: A Generative Model for Raw Audio

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

Deep State Space Models for Time Series Forecasting

A Multi-Horizon Quantile Recurrent Forecaster

Forecasting: theory and practice

CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation

Intensity-Free Learning of Temporal Point Processes

GluonTS: Probabilistic Time Series Models in Python

Long-term Forecasting with TiDE: Time-series Dense Encoder

Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting


Symbolic execution tool

Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts

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

International Conference on Software Engineering

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Harvey: A Greybox Fuzzer for Smart Contracts

Scilla: a Smart Contract Intermediate-Level LAnguage

Understanding Security Issues in the NFT Ecosystem

eThor: Practical and Provably Sound Static Analysis of Ethereum Smart Contracts

VERISMART: A Highly Precise Safety Verifier for Ethereum Smart Contracts

Formal Specification and Verification of Smart Contracts for Azure
  Blockchain


Hydra is a framework for elegantly configuring complex applications

TEMOS: Generating diverse human motions from textual descriptions

Multi-Task Reinforcement Learning with Context-based Representations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

FLEX: Unifying Evaluation for Few-Shot NLP

On Interaction Between Augmentations and Corruptions in Natural Corruption Robustness

On the model-based stochastic value gradient for continuous reinforcement learning

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

MBRL-Lib: A Modular Library for Model-based Reinforcement Learning

Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning

Variational Wasserstein gradient flow


Machine Learning in R

ASlib: A Benchmark Library for Algorithm Selection

mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

OpenML: An R package to connect to the machine learning platform OpenML

Economics of open tibial fractures: the pivotal role of length-of-stay and infection

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

Multilabel Classification with R Package mlr

A Comprehensive and Didactic Review on Multilabel Learning Software Tools

Benchmarking time series classification -- Functional data vs machine learning approaches

High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions


XGBoost: A Scalable Tree Boosting System

Real-Time Bidding Benchmarking with iPinYou Dataset

Towards a data-driven characterization of behavioral changes induced by the seasonal flu

Cross-Device Tracking: Matching Devices and Cookies

Weighted Classification Cascades for Optimizing Discovery Significance in the HiggsML Challenge

Evaluating Doctor Performance: Ordinal Regression-Based Approach


An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

LapGym -- An Open Source Framework for Reinforcement Learning in
  Robot-Assisted Laparoscopic Surgery

Robotic Table Tennis: A Case Study into a High Speed Learning System

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

CoRL: Environment Creation and Management Focused on System Integration

Signal Novelty Detection as an Intrinsic Reward for Robotics

Learning to Reach Goals via Diffusion

Speeding-up Evolutionary Algorithms to solve Black-Box Optimization
  Problems


OpenMMLab's next-generation platform for general 3D object detection.

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Designing Network Design Spaces

Deep Hough Voting for 3D Object Detection in Point Clouds

Center-based 3D Object Detection and Tracking

3DSSD: Point-based 3D Single Stage Object Detector

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

BEVDet: High-performance Multi-camera 3D Object Detection in
  Bird-Eye-View


Morphological diversity of single neurons in molecularly defined cell types

Cross-modal coherent registration of whole mouse brains

M-AMST: an automatic 3D neuron tracing method based on mean shift and adapted minimum spanning tree

mBrainAligner-Web: a web server for cross-modal coherent registration of whole mouse brains

SmartScope2: Simultaneous Imaging and Reconstruction of Neuronal Morphology

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Full-Spectrum Neuronal Diversity and Stereotypy through Whole Brain Morphometry

NRRS: a re-tracing strategy to refine neuron reconstruction


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Bilinear Attention Networks

Towards VQA Models That Can Read

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

How Much Can CLIP Benefit Vision-and-Language Tasks?

UniT: Multimodal Multitask Learning with a Unified Transformer

TextCaps: a Dataset for Image Captioning with Reading Comprehension

A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Cycle-Consistency for Robust Visual Question Answering


TARDIS - Temperature And Radiative Diffusion In Supernovae

Monte Carlo Radiative Transfer

Living reviews in computational astrophysics

Modeling Type Ic Supernovae with tardis: Hidden Helium in SN 1994I?

Ultraviolet Spectroscopy and TARDIS Models of the Broad-lined Type Ic Supernova 2014ad

SN 2019ewu: A Peculiar Supernova with Early Strong Carbon and Weak
  Oxygen Features from a New Sample of Young SN Ic Spectra


Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

International Conference on Control and Automation

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

QarSUMO: A Parallel, Congestion-optimized Traffic Simulator

Advances in Geographic Information Systems

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning

An Overview of the Drone Open-Source Ecosystem.

Solvability of the power flow problem in DC overhead wire circuit modeling

A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed
  Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles


PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A Survey of Large Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

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

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Aligning Large Language Models with Human: A Survey

MedAlpaca -- An Open-Source Collection of Medical Conversational AI
  Models and Training Data

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA
  Composition

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large
  Foundation Models


LAPACK development repository

Randomized Numerical Linear Algebra : A Perspective on the Field With an
  Eye to Software

Extended and improved criss-cross algorithms for computing the spectral
  value set abscissa and radius

Proposed Consistent Exception Handling for the BLAS and LAPACK

Vectorization of a Thread-Parallel Jacobi Singular Value Decomposition Method

PyTracer: Automatically Profiling Numerical Instabilities in Python


Reverse engineered ChatGPT API

Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

Can we trust the evaluation on ChatGPT?

VeriGen: A Large Language Model for Verilog Code Generation

Causal Reasoning of Entities and Events in Procedural Texts

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report
  Detection

A Turing test of whether AI chatbots are behaviorally similar to humans

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

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?


Scala based HDL

Clio: A Hardware-Software Co-Designed Disaggregated Memory System

ISA Extensions for Finite Field Arithmetic

IACR transactions on cryptographic hardware and embedded systems

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE transactions on information and systems

A Hardware Co-design Workflow for Scientific Instruments at the Edge

ProSpeCT: Provably Secure Speculation for the Constant-Time Policy
  (Extended version)


A type-safe HTTP client for Android and the JVM

RefDiff: Detecting Refactorings in Version Histories

Does Technical Debt Lead to the Rejection of Pull Requests?

What Makes a Good Commit Message?

IDEAL: An Open-Source Identifier Name Appraisal Tool

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

Verifying Semantic Conflict-Freedom in Three-Way Program Merges.

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions


Registry for Digital Public Goods


A python library for user-friendly forecasting and anomaly detection on time series.

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Probabilistic Forecasting with Temporal Convolutional Neural Network

Darts: User-Friendly Modern Machine Learning for Time Series

Long-term Forecasting with TiDE: Time-series Dense Encoder

Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer Using Temporal Convolutional Neural Networks


Spring Boot

Learning Semantic Program Embeddings with Graph Interval Neural Network

What Makes a Good Commit Message?

On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study


Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Attention Is All You Need

RoBERTa: A Robustly Optimized BERT Pretraining Approach

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Convolutional Sequence to Sequence Learning

BERTScore: Evaluating Text Generation with BERT

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Dissecting Contextual Word Embeddings: Architecture and Representation

Language Modeling with Gated Convolutional Networks

Language Models as Knowledge Bases?


A Unified Library for Parameter-Efficient and Modular Transfer Learning

Parameter-Efficient Transfer Learning for NLP

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

MAD-X: An Adapter-Based Framework for Multi-Task Cross-Lingual Transfer

AdapterHub: A Framework for Adapting Transformers

AdapterDrop: On the Efficiency of Adapters in Transformers

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

A Primer on Pretrained Multilingual Language Models

Memory Efficient Continual Learning with Transformers

Adapter-based fine-tuning of pre-trained multilingual language models for code-mixed and code-switched text classification

Visual Comparison of Language Model Adaptation


⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

Efficient Streaming Language Models with Attention Sinks

Prune Once for All: Sparse Pre-Trained Language Models

Towards Efficient Generative Large Language Model Serving: A Survey from
  Algorithms to Systems

Efficient LLM Inference on CPUs

An Efficient Sparse Inference Software Accelerator for Transformer-based
  Language Models on CPUs

Fast DistilBERT on CPUs

Effective Quantization for Diffusion Models on CPUs


Train transformer language models with reinforcement learning.

Fine-Tuning Language Models from Human Preferences

Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

A Long Way to Go: Investigating Length Correlations in RLHF

Retroformer: Retrospective Large Language Agents with Policy Gradient
  Optimization

Using Question Answering Rewards to Improve Abstractive Summarization

Findings of the Association for Computational Linguistics: EMNLP 2021

Goal-Directed Story Generation: Augmenting Generative Language Models
  with Reinforcement Learning

Generative Conversational Networks

Exploring the impact of low-rank adaptation on the performance,
  efficiency, and regularization of RLHF

Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is
  Needed?


SDK for developing enclaves

Precision health data: Requirements, challenges and existing techniques for data security and privacy

On The Performance of ARM TrustZone

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

Verifiable Fully Homomorphic Encryption

FairCs—Blockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX.

Machine Learning with Confidential Computing: A Systematization of
  Knowledge

Enclave-Aware Compartmentalization and Secure Sharing with Sirius

Private delegated computations using strong isolation

Cloak: Transitioning States on Legacy Blockchains Using Secure and Publicly Verifiable Off-Chain Multi-Party Computation


Google's Operations Research tools:

Attention, Learn to Solve Routing Problems!

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

International journal of production research

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B

On the Impact of Open Parcel Lockers on Traffic

Synergistic Team Composition

RNAiFold2T: Constraint Programming design of thermo-IRES switches

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization


Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

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

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design


Solidity, the Smart Contract Programming Language

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks

Metaverse for Social Good: A University Campus Prototype

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and
  Defenses

Decentralized Applications: The Blockchain-Empowered Software System

MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on programming languages

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Blockchain based Proxy Re-Encryption Scheme for Secure IoT Data Sharing

A Concurrent Perspective on Smart Contracts

Defining Smart Contract Defects on Ethereum

xDBAuth: Blockchain Based Cross Domain Authentication and Authorization Framework for Internet of Things


A set of command line tools (in Java) for manipulating high-throughput sequencing (HTS) data and formats such as SAM/BAM/CRAM and VCF.

A high-fidelity Cas9 mutant delivered as a ribonucleoprotein complex enables efficient gene editing in human hematopoietic stem and progenitor cells

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non–Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel

Microbial Succession and Flavor Production in the Fermented Dairy Beverage Kefir

The genome sequence of Sea-Island cotton (Gossypium barbadense) provides insights into the allopolyploidization and development of superior spinnable fibres

Whole genome sequencing of canids reveals genomic regions under selection and variants influencing morphology

The monoclonal antibody combination REGEN-COV protects against SARS-CoV-2 mutational escape in preclinical and human studies

SNP2TFBS – a database of regulatory SNPs affecting predicted transcription factor binding site affinity

Evolution of the Pseudomonas aeruginosa mutational resistome in an international Cystic Fibrosis clone

The genome evolution and domestication of tropical fruit mango


A Modelica model library for building performance simulations

AixLib - An Open-Source Modelica Library within the IEA-EBC Annex60 Framework

Application of the open-source cloud platform FIWARE for future building energy management systems

Balancing Energy Efficiency with Indoor Comfort Using Smart Control Agents: A Simulative Case Study

Model Predictive Control for the Energy Management in a District of Buildings Equipped with Building Integrated Photovoltaic Systems and Batteries

Design, Implementation and Demonstration of Embedded Agents for Energy Management in Non-Residential Buildings

On modelling effects in the battery and thermal storage scheduling problem

Journal of building performance simulation

Fault detection and diagnosis in building energy systems: A tool chain for the automated generation of training data


Low-code framework for building custom LLMs, neural networks, and other AI models

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

International Conference on Tools with Artificial Intelligence

Ludwig: a type-based declarative deep learning toolbox

Declarative Machine Learning Systems

Personalized Benchmarking with the Ludwig Benchmarking Toolkit

OCC: A Smart Reply System for Efficient In-App Communications

A study on cross-corpus speech emotion recognition and data augmentation

Recent Advances in Data Engineering for Networking

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


Distributed Task Queue (development branch)

LitSuggest: a web-based system for literature recommendation and curation using machine learning

The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science

Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models

G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers

Mendel,MD: A user-friendly open-source web tool for analyzing WES and WGS in the diagnosis of patients with Mendelian disorders

DeepNeuropePred: a robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model


The Web framework for perfectionists with deadlines.

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Towards Automatically Generating Release Notes using Extractive Summarization Technique

Software Engineering and Knowledge Engineering

BEERE: a web server for biomedical entity expansion, ranking and explorations

Simmate: a framework for materials science

Tweaking Association Rules to Optimize Software Change Recommendations

XXXI BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2017)


Gridpoint Statistical Interpolation

Strategies for Assimilating High-Density Atmospheric Motion Vectors into a Regional Tropical Cyclone Forecast Model (HWRF)

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of convective storms

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


Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

Observation of Gravitational Waves from a Binary Black Hole Merger

日本看護学会論文集 母性看護

GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence

Binary Black Hole Mergers in the First Advanced LIGO Observing Run

Tests of general relativity with the binary black hole signals from the LIGO-Virgo catalog GWTC-1

The PyCBC search for gravitational waves from compact binary coalescence

Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

Stringent constraints on neutron-star radii from multimessenger observations and nuclear theory

2-OGC: Open Gravitational-wave Catalog of Binary Mergers from Analysis of Public Advanced LIGO and Virgo Data

4-OGC: Catalog of Gravitational Waves from Compact Binary Mergers

1-OGC: The First Open Gravitational-wave Catalog of Binary Mergers from Analysis of Public Advanced LIGO Data


:atom: The hackable text editor

On the impact of security vulnerabilities in the npm and RubyGems dependency networks

Will you come back to contribute? Investigating the inactivity of OSS core developers in GitHub

How Successful Are Open Source Contributions From Countries With Different Levels of Human Development?

An Empirical Study of Flaky Tests in JavaScript

Identifying Emergent Leadership in OSS Projects Based on Communication
  Styles


A framework to build power system oriented software


The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

Union: A Unified HW-SW Co-Design Ecosystem in MLIR for Evaluating Tensor Operations on Spatial Accelerators

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

AXI4MLIR: User-Driven Automatic Host Code Generation for Custom
  AXI-Based Accelerators


Official code repository for GATK versions 4 and up

Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis

Benchmarking challenging small variants with linked and long reads

Spatially resolved clonal copy number alterations in benign and malignant tissue

A first-generation pediatric cancer dependency map

GATK PathSeq: a customizable computational tool for the discovery and identification of microbial sequences in libraries from eukaryotic hosts

Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma

The Journal of clinical investigation/The journal of clinical investigation

Exome Sequencing Identifies Genes and Gene Sets Contributing to Severe Childhood Obesity, Linking PHIP Variants to Repressed POMC Transcription

Genomic basis of high-altitude adaptation in Tibetan Prunus fruit trees

Whole Genome Sequencing in the Evaluation of Fetal Structural Anomalies: A Parallel Test with Chromosomal Microarray Plus Whole Exome Sequencing

Clonal Hematopoiesis Before, During, and After Human Spaceflight


Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

ISPRS international journal of geo-information

Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina's Life Quality Index

Choriented Maps: Visualizing SDG Data on Mobile Devices

The Cartographic journal/Cartographic journal

NetworkNarratives: Data Tours for Visual Network Exploration and Analysis

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

How WebGL vector maps work


OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning

Deep Reinforcement Learning from Self-Play in Imperfect-Information Games

Deep Counterfactual Regret Minimization

OpenSpiel: A Framework for Reinforcement Learning in Games

Actor-Critic Policy Optimization in Partially Observable Multiagent Environments

Mastering the game of Stratego with model-free multiagent reinforcement learning

α-Rank: Multi-Agent Evaluation by Evolution

Re-evaluating Evaluation

A Generalized Training Approach for Multiagent Learning

Fast deep reinforcement learning using online adjustments from the past


The MATLAB toolbox for MEG, EEG and iEEG analysis

The Human Connectome Project: A retrospective

A 204-subject multimodal neuroimaging dataset to study language processing

Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes

Caulking the Leakage Effect in MEEG Source Connectivity Analysis

Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts

Risks in signal processing pipelines influencing the estimation of phase dependency for EEG-TMS


The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Unity: A General Platform for Intelligent Agents

Large-Scale Study of Curiosity-Driven Learning

Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning

Redirection Controller Using Reinforcement Learning

RFUniverse: A Multiphysics Simulation Platform for Embodied AI

Reinforcement Learning from Hierarchical Critics

Causal Inference Q-Network: Toward Resilient Reinforcement Learning

Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games

International Conference on the Foundations of Digital Games


[EOL] Compute Resource Usage Analysis and Monitoring of Container Clusters

Horizontal Pod Autoscaling in Kubernetes for Elastic Container Orchestration

Design, Monitoring, and Testing of Microservices Systems: The Practitioners' Perspective.

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

A Causality Mining and Knowledge Graph Based Method of Root Cause Diagnosis for Performance Anomaly in Cloud Applications

SGX-Aware Container Orchestration for Heterogeneous Clusters

International Conference on Distributed Computing Systems

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

HEATS: Heterogeneity- and Energy-Aware Task-based Scheduling

Detecting and Localizing Anomalies in Container Clusters Using Markov Models

CONSERVE: A framework for the selection of techniques for monitoring containers security

A Benchmarking application on Workload and Performance forecasting of micro services

Türk bilgisayar ve matematik eğitimi dergisi


AI Toolkit for Healthcare Imaging

UNETR: Transformers for 3D Medical Image Segmentation

End-to-end privacy preserving deep learning on multi-institutional medical imaging

MONAI: An open-source framework for deep learning in healthcare

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation

Label-Free Segmentation of COVID-19 Lesions in Lung CT

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

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D
  Medical Images

UNETR++: Delving into Efficient and Accurate 3D Medical Image
  Segmentation

Warm Start Active Learning with Proxy Labels & Selection via
  Semi-Supervised Fine-Tuning

Fetal Brain Tissue Annotation and Segmentation Challenge Results


Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

A new paradigm for accelerating clinical data science at Stanford
  Medicine

A simple guide to de novo transcriptome assembly and annotation

Clonal hematopoiesis in sickle cell disease

Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines

Building containerized workflows using the BioDepot-workflow-builder (Bwb)

Organizing genome engineering for the gigabase scale

uap: reproducible and robust HTS data analysis

Unifying package managers, workflow engines, and containers: Computational reproducibility with BioNix

Design and implementation of a hybrid cloud system for large-scale human genomic research


Mirror of https://git.ffmpeg.org/ffmpeg.git

Smart Greybox Fuzzing

Exploring Software Naturalness through Neural Language Models

Fast Object Detection in Compressed Video

Spatio-Temporal Rich Model-Based Video Steganalysis on Cross Sections of Motion Vector Planes

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

SPI: Automated Identification of Security Patches via Commits

Data Quality for Software Vulnerability Datasets

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

Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback

PHANTOM: Curating GitHub for engineered software projects using time-series clustering

Zenodo (CERN European Organization for Nuclear Research)

Exploring the Contextual Factors Affecting Multimodal Emotion Recognition in Videos


Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Deep Depth Completion of a Single RGB-D Image

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

Keystone: An Open Framework for Architecting TEEs

Analyzing complex single-molecule emission patterns with deep learning

rnn : Recurrent Library for Torch

Privado: Practical and Secure DNN Inference with Enclaves

Virtualizing Deep Neural Networks for Memory-Efficient Neural Network Design

An Instrumenting Compiler for Enforcing Confidentiality in Low-Level Code


Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Machine Learning in Python: Main developments and technology trends in
  data science, machine learning, and artificial intelligence

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

NeMo: a toolkit for building AI applications using Neural Modules

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

TEMOS: Generating diverse human motions from textual descriptions

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

KLUE: Korean Language Understanding Evaluation

Avalanche: an End-to-End Library for Continual Learning

Chemformer: a pre-trained transformer for computational chemistry

Machine learning: science and technology

CausaLM: Causal Model Explanation Through Counterfactual Language Models

International Conference on Computational Logic


Examples and guides for using the OpenAI API

Mathematical Capabilities of ChatGPT

DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT
  Models

Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence

Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction

Who is ChatGPT? Benchmarking LLMs' Psychological Portrayal Using
  PsychoBench

Revisiting Prompt Engineering via Declarative Crowdsourcing

No Need to Lift a Finger Anymore? Assessing the Quality of Code
  Generation by ChatGPT


The Object Store for AI Data Infrastructure

Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

Symposium on Operating Systems Principles

Deep Lake: a Lakehouse for Deep Learning


Agda is a dependently typed programming language / interactive theorem prover.

Two-Level Type Theory and Applications

Internal Universes in Models of Homotopy Type Theory

Definitional proof-irrelevance without K

Symposium on Principles of Programming Languages

Fitch-Style Modal Lambda Calculi

Internalizing Representation Independence with Univalence

Elaborating dependent (co)pattern matching

Proceedings of the ACM on programming languages

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Normalization for fitch-style modal calculi

Synthetic Spectra via a Monadic and Comonadic Modality


Open3D: A Modern Library for 3D Data Processing

Stress-Testing Point Cloud Registration on Automotive LiDAR

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction
  Framework Based on Panoramic Stereo Images for a Trimming Robot

Initialization and Alignment for Adversarial Texture Optimization


flannel is a network fabric for containers, designed for Kubernetes

A Comparative Study of Containers and Virtual Machines in Big Data Environment

About Microservices, Containers and their Underestimated Impact on Network Performance

ClouNS - a Cloud-Native Application Reference Model for Enterprise Architects

A Black-box Monitoring Approach to Measure Microservices Runtime Performance

ACM transactions on architecture and code optimization

Context-Aware Kubernetes Scheduler for Edge-native Applications on 5G

Journal of communications software and systems

A Portable Load Balancer with ECMP Redundancy for Container Clusters

IEICE transactions on information and systems

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services

ONCache: A Cache-Based Low-Overhead Container Overlay Network

UMBRELLA: A One-stop Shop Bridging the Gap from Lab to Real-World IoT
  Experimentation

Performance Evaluation of Kubernetes Networking Approaches across
  Constraint Edge Environments


PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

A First Look at Deep Learning Apps on Smartphones

Deep Learning on Mobile Devices - A Review

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

LFFD: A Light and Fast Face Detector for Edge Devices

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey

A First Look at On-device Models in iOS Apps

AI-driven Mobile Apps: an Explorative Study


The OpenAPI Specification Repository

Multi-access Edge Computing: The driver behind the wheel of 5G-connected
  cars

Open Geospatial Software and Data: A Review of the Current State and A Perspective into the Future

ISPRS international journal of geo-information

QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs

The Smart Device Specification for Remote Labs

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

Generating GraphQL-Wrappers for REST(-like) APIs

Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards

OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge
  Graphs

TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures

Exploiting Input Sanitization for Regex Denial of Service


The Python programming language

SciPy 1.0: fundamental algorithms for scientific computing in Python

PESummary: The code agnostic Parameter Estimation Summary page builder

AALpy: an active automata learning library

Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations.

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

DeepDiagnosis: Automatically Diagnosing Faults and Recommending
  Actionable Fixes in Deep Learning Programs

Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries

Prevalence and Comparisons of Alcohol, Candy, Energy Drink, Snack, Soda, and Restaurant Brand and Product Marketing on Twitch, Facebook Gaming, and YouTube Gaming

PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems

Symposium on Reliable Distributed Systems

A tutored discourse on microcontrollers, single board computers and their applications to monitor and control chemical reactions


Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Attention Is All You Need

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

Self-Attention with Relative Position Representations

When Does Label Smoothing Help?

Model-Based Reinforcement Learning for Atari

Universal Transformers

Achieving Human Parity on Automatic Chinese to English News Translation

Tensor2Tensor for Neural Machine Translation

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

The Evolved Transformer


dplyr: A grammar of data manipulation

Oscillatory brain activity in spontaneous and induced sleep stages in flies

Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection

medRxiv : the preprint server for health sciences

A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data

Emergence and diversification of a highly invasive chestnut pathogen lineage across southeastern Europe

Dynamic Changes in Uterine NK Cell Subset Frequency and Function Over the Menstrual Cycle and Pregnancy

Analysis of the polycystin complex (PCC) in human urinary exosome–like vesicles (ELVs)

Multi cell line analysis of lysosomal proteomes reveals unique features and novel lysosomal proteins

Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis

Systematic Bioinformatic Analyses of Nutrigenomic Modifications by Polyphenols Associated with Cardiometabolic Health in Humans—Evidence from Targeted Nutrigenomic Studies


Caffe: a fast open framework for deep learning. With OpenCL and CUDA support.

Large Scale Image Segmentation with Structured Loss Based Deep Learning for Connectome Reconstruction

IEEE transactions on pattern analysis and machine intelligence

Efficient Convolutional Neural Networks for Pixelwise Classification on Heterogeneous Hardware Systems

A Deep Structured Learning Approach Towards Automating Connectome Reconstruction from 3D Electron Micrographs.


GitPython is a python library used to interact with Git repositories.

RAxML Grove: an empirical phylogenetic tree database

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

Tooling for Time- and Space-efficient git Repository Mining

Proceedings of the 19th International Conference on Mining Software Repositories

SecretBench: A Dataset of Software Secrets


Flax is a neural network library for JAX that is designed for flexibility.

Deep Residual Learning for Image Recognition

Attention Is All You Need

Auto-Encoding Variational Bayes

An Empirical Study of Training Self-Supervised Vision Transformers

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Long Range Arena: A Benchmark for Efficient Transformers

Offline Reinforcement Learning with Implicit Q-Learning

Structured Denoising Diffusion Models in Discrete State-Spaces

PaLI: A Jointly-Scaled Multilingual Language-Image Model

FNet: Mixing Tokens with Fourier Transforms


Keras implementation of Representation Learning with Contrastive Predictive Coding

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning

Predictive Coding for Boosting Deep Reinforcement Learning with Sparse Rewards


The nbench benchmark ported to SGX.

Mitigating Branch-Shadowing Attacks on Intel SGX using Control Flow Randomization

GuaranTEE: Introducing Control-Flow Attestation for Trusted Execution Environments

HyperEnclave: An Open and Cross-platform Trusted Execution Environment

Confidential Attestation: Efficient in-Enclave Verification of Privacy
  Policy Compliance


Code for An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality (ICLR 2020)

Neural Bregman Divergences for Distance Learning

Metric Nearness Made Practical

Proceedings of the AAAI Conference on Artificial Intelligence


微调BERT模型,同时构建自己的数据集实现分类

Attention Is All You Need

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

Semi-supervised Sequence Learning


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

DPD-fVAE: Synthetic Data Generation Using Federated Variational
  Autoencoders With Differentially-Private Decoder


Learning Deep Features for Discriminative Localization

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

Multi-Scale Convolutional Neural Networks for Time Series Classification


Ruby implementation of Boldyreva's order-preserving encryption scheme

Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing

IEEE transactions on information forensics and security

LPOS: Location Privacy for Optimal Sensing in Cognitive Radio Networks

An efficient technique for protecting location privacy of cooperative spectrum sensing users

Conference on Computer Communications Workshops


Implementation of 2D-3D Cyclic Generative Renderer (3DV-2020).

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

Cycle-Consistent Generative Rendering for 2D-3D Modality Translation


:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages)

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

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

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

FastSpeech: Fast, Robust and Controllable Text to Speech


The implementation of Discriminator Soft Actor Critic

Soft Actor-Critic Algorithms and Applications

SQIL: Imitation Learning via Reinforcement Learning with Sparse Rewards

Discriminator Soft Actor Critic without Extrinsic Rewards


Asymptotic Improvements to Quantum Circuits via Qutrits

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

Resource-Efficient Quantum Computing by Breaking Abstractions

New Abstractions for Quantum Computing


Python bindings to BLS

The occurrence of planets and other substellar bodies around white dwarfs using K2

Monthly notices of the Royal Astronomical Society

Diffuser-assisted Photometric Follow-up Observations of the Neptune-sized Planets K2-28b and K2-100b

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

Monthly Notices of the Royal Astronomical Society

THE K2-ESPRINT PROJECT. II. SPECTROSCOPIC FOLLOW-UP OF THREE EXOPLANET SYSTEMS FROM CAMPAIGN 1 OF K2

Upper Limits on Planet Occurrence around Ultracool Dwarfs with K2

A simple model to describe intrinsic stellar noise for exoplanet detection around red giants

A search for transiting planets in the β Pictoris system

Search for exoplanetary transits in the Galactic bulge

Synergy between asteroseismology and exoplanet science: an outlook


Code to reproduce the experiments in The Mirage of Action-Dependent Baselines in Reinforcement Learning.

Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Action-depedent Control Variates for Policy Optimization via Stein's Identity


Implementation of the segmentation task for ISIC 2017. https://arxiv.org/abs/1703.04819

RECOD Titans at ISIC Challenge 2017

Data, depth, and design: Learning reliable models for skin lesion analysis

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging
  using Consensus-based Silver standard Masks


Basic, no assumptions, multi-pileup

Synthetic microbe communities provide internal reference standards for metagenome sequencing and analysis

piRNAs Are Associated with Diverse Transgenerational Effects on Gene and Transposon Expression in a Hybrid Dysgenic Syndrome of D. virilis

Whole genome sequencing in Drosophila virilis identifies Polyphemus, a recently activated Tc1-like transposon with a possible role in hybrid dysgenesis


Latent Text-to-Image Diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

Structure and Content-Guided Video Synthesis with Diffusion Models

Unleashing Text-to-Image Diffusion Models for Visual Perception

SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two
  Seconds

Fill-Up: Balancing Long-Tailed Data with Generative Models

CustomNet: Zero-shot Object Customization with Variable-Viewpoints in
  Text-to-Image Diffusion Models

Perceptual Artifacts Localization for Image Synthesis Tasks


PyTorch implementation of residual networks trained on CIFAR-10 dataset (2017)

Deep Residual Learning for Image Recognition

SemEval-2021 Task 12: Learning with Disagreements

Meeting of the Association for Computational Linguistics

Scaling and Disagreements: Bias, Noise, and Ambiguity


This is a code repository for paper OODformer: Out-Of-Distribution Detection Transformer

A Simple Framework for Contrastive Learning of Visual Representations

Emerging Properties in Self-Supervised Vision Transformers


A library for adversarial classifier evasion

Evading Classifiers by Morphing in the Dark

Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers

Data driven exploratory attacks on black box classifiers in adversarial domains

Adversarial Regression with Multiple Learners

A Survey on Adversarial Attacks for Malware Analysis

Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


PyTorch implementation of Constrained Policy Optimization

Constrained Policy Optimization

ConBaT: Control Barrier Transformer for Safe Policy Learning


[ICCV'19] WSOD^2: Learning Bottom-up and Top-down Objectness Distillation for Weakly-supervised Object Detection

Weakly Supervised Deep Detection Networks

Multiple Instance Detection Network with Online Instance Classifier Refinement

WSOD2: Learning Bottom-Up and Top-Down Objectness Distillation for Weakly-Supervised Object Detection


Python port of Moses tokenizer, truecaser and normalizer

Contrastive Learning for Many-to-many Multilingual Neural Machine Translation

Mind the Gap: Assessing Temporal Generalization in Neural Language Models

It's Morphin' Time! Combating Linguistic Discrimination with Inflectional Perturbations

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Finding the Optimal Vocabulary Size for Neural Machine Translation

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

International Conference on Computational Logic

Shades of BLEU, Flavours of Success: The Case of MultiWOZ

NeurST: Neural Speech Translation Toolkit

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation


A repository collating interesting and/or influential predictive coding papers

Predictive coding

Wiley interdisciplinary reviews. Cognitive science

Cerebral hierarchies: predictive processing, precision and the pulvinar

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

An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity

Predictive Coding in Sensory Cortex

TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP

A Predictive-Coding Network That Is Both Discriminative and Generative


A pytorch Implementation of Open Vocabulary Object Detection with Pseudo Bounding-Box Labels

Learning Transferable Visual Models From Natural Language Supervision

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


Semi-Parametric Editing with a Retrieval-Augmented Counterfactual Model

Fast Model Editing at Scale

Memory-Based Model Editing at Scale

Editable Neural Networks


Scaling Up Influence Functions

TRAK: Attributing Model Behavior at Scale

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


[IEEE IROS 2023] Official Repository of IROS 23 paper "Uncertainty-Aware Lidar Place Recognition in Novel Environments"

PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition

STUN: Self-Teaching Uncertainty Estimation for Place Recognition


hacked ported version for octave from the  borre/akos code

GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability

Robust GPS-Vision Localization via Integrity-Driven Landmark Attention

Set-Valued Shadow Matching Using Zonotopes for 3D-Map-Aided GNSS Localization

Mosaic Zonotope Shadow Matching for Risk-Aware Autonomous Localization
  in Harsh Urban Environments


This tongue image data set contains 300 tongue images. All the images in the data set were acquired by our image acquisition device and the image size was 576*768. Manual segmentations were used as the ground truth.

Recent Progress in Transformer-based Medical Image Analysis

TISNet-Enhanced Fully Convolutional Network with Encoder-Decoder Structure for Tongue Image Segmentation in Traditional Chinese Medicine

Computational and mathematical methods in medicine

ExpACVO-Hybrid Deep learning: Exponential Anti Corona Virus Optimization enabled Hybrid Deep learning for tongue image segmentation towards diabetes mellitus detection

Biomedical signal processing and control

TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

Deep Learning Based Tongue Prickles Detection in Traditional Chinese Medicine

Evidence-based complementary and alternative medicine : eCAM


Implementation of spatio-temporal graph convolutional network with PyTorch

Traffic Flow Prediction with Vehicle Trajectories

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

Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

Spatial-Temporal Synchronous Graph Transformer network (STSGT) for
  COVID-19 forecasting

Urban Regional Function Guided Traffic Flow Prediction

Residual Correction in Real-Time Traffic Forecasting

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

Smart Health

Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction


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

Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts

Learning Associative Inference Using Fast Weight Memory


SR based on LLMs.

End-to-end symbolic regression with transformers

Transformer-based Planning for Symbolic Regression


Ethereum Virtual Machine (EVM) Bytecode or Solidity Smart Contract static analysis tool based on symbolic execution

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are
  We?

Blockchain Large Language Models

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

Combatting Front-Running in Smart Contracts: Attack Mining, Benchmark Construction and Vulnerability Detector Evaluation


Code for "Bayesian Structure Learning with Generative Flow Networks"

GFlowCausal: Generative Flow Networks for Causal Discovery


Tokenization and pre-processing for Twitter data used to train classifiers.

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

North American Chapter of the Association for Computational Linguistics

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets

Modeling Personality Traits of Filipino Twitter Users

Proceedings of the Second Workshop on Computational Modeling of
          People's Opinions, Personality, and Emotions in Social Media

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

IEEE computational intelligence magazine

EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)

Classifying the Informative Behaviour of Emoji in Microblogs

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

YNU_oxz at SemEval-2020 Task 12: Bidirectional GRU with Capsule for Identifying Multilingual Offensive Language

International Workshop on Semantic Evaluation


[ICLR 2022] Open-World Semi-Supervised Learning

Open-World Semi-Supervised Learning

Parametric Information Maximization for Generalized Category Discovery


A chord identifier and harmonizer for MIDI files

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer With One Transformer VAE

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

Video Background Music Generation: Dataset, Method and Evaluation


MuTect -- Accurate and sensitive cancer mutation detection

Assessment of Blood Tumor Mutational Burden as a Potential Biomarker for Immunotherapy in Patients With Non–Small Cell Lung Cancer With Use of a Next-Generation Sequencing Cancer Gene Panel

Tumor and immune reprogramming during immunotherapy in advanced renal cell carcinoma

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Genomic landscape and evolutionary trajectories of ovarian cancer precursor lesions

A Phase Ib Study of the Combination of Personalized Autologous Dendritic Cell Vaccine, Aspirin, and Standard of Care Adjuvant Chemotherapy Followed by Nivolumab for Resected Pancreatic Adenocarcinoma—A Proof of Antigen Discovery Feasibility in Three Patients

Characterization of the genomic landscape in large-scale Chinese patients with pancreatic cancer

Paired whole exome and transcriptome analyses for the Immunogenomic changes during concurrent chemoradiotherapy in esophageal squamous cell carcinoma

Exome and transcriptome sequencing identifies loss of PDLIM2 in metastatic colorectal cancers

DOAJ (DOAJ: Directory of Open Access Journals)

CIITA-Transduced Glioblastoma Cells Uncover a Rich Repertoire of Clinically Relevant Tumor-Associated HLA-II Antigens

Driver mutations of intrahepatic cholangiocarcinoma shape clinically relevant genomic clusters with distinct molecular features and therapeutic vulnerabilities


ExORL: Exploratory Data for Offline Reinforcement Learning

Don't Change the Algorithm, Change the Data: Exploratory Data for
  Offline Reinforcement Learning

Sequence Modeling is a Robust Contender for Offline Reinforcement
  Learning


Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow"  https://openreview.net/pdf?id=SkgsACVKPH

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Prospect Pruning: Finding Trainable Weights at Initialization using
  Meta-Gradients

Towards Structured Dynamic Sparse Pre-Training of BERT

FreezeNet: Full Performance by Reduced Storage Costs

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations


Official codebase for "B-Pref: Benchmarking Preference-BasedReinforcement Learning" contains scripts to reproduce experiments.

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

B-Pref: Benchmarking Preference-Based Reinforcement Learning

Query-Policy Misalignment in Preference-Based Reinforcement Learning

Rewards Encoding Environment Dynamics Improves Preference-based
  Reinforcement Learning


Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.

A Fast Incremental Gaussian Mixture Model

Identification of Wearable Devices with Bluetooth

IEEE transactions on sustainable computing

Detecting and Classifying Human Touches in a Social Robot Through Acoustic Sensing and Machine Learning

Word Embeddings-Based Uncertainty Detection in Financial Disclosures

Meeting of the Association for Computational Linguistics

Scalable and Incremental Learning of Gaussian Mixture Models


doublehelix obfuscates Ruby codes in Double-helix style

Estimating Algorithmic Information Using Quantum Computing for Genomics Applications

QKSA: Quantum Knowledge Seeking Agent

Quines are the Fittest Programs - Large Nesting Algorithmic Probability Converges to Constructors


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Explainable Artificial Intelligence in CyberSecurity: A Survey

Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems

Physical Assessment of an SDN-Based Security Framework for DDoS Attack Mitigation: Introducing the SDN-SlowRate-DDoS Dataset

Attack vs Benign Network Intrusion Traffic Classification

Zero-day DDoS Attack Detection

Methodology for Collecting a Training Dataset for an Intrusion Detection Model

Труды Института системного программирования РАН


Detect model's attention

RISE: Randomized Input Sampling for Explanation of Black-box Models

Convolutional Dynamic Alignment Networks for Interpretable Classifications

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

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

How explainable are adversarially-robust CNNs?

Poly-CAM: High resolution class activation map for convolutional neural
  networks

Learning Visual Explanations for DCNN-Based Image Classifiers Using an
  Attention Mechanism

Analyzing Explainer Robustness via Lipschitzness of Prediction Functions

Information-Theoretic Visual Explanation for Black-Box Classifiers

New Definitions and Evaluations for Saliency Methods: Staying Intrinsic,
  Complete and Sound


StyleDrop: Text-to-Image Generation in Any Style

Style Aligned Image Generation via Shared Attention


a collection of functions that measure the readability of a given body of text

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Flesch-Kincaid is Not a Text Simplification Evaluation Metric

WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation

A Semi-Supervised Approach for Low-Resourced Text Generation

Multitask Models for Controlling the Complexity of Neural Machine Translation

Proceedings of the The Fourth Widening Natural Language Processing Workshop


NIST_FRVT Top 1 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑ Face Recognition ☑ Face Liveness Detection ☑ Face Pose Estimation

FaceNet: A Unified Embedding for Face Recognition and Clustering

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Deep Learning Face Representation by Joint Identification-Verification

Additive Margin Softmax for Face Verification

Deep Face Recognition: A Survey

SIBGRAPI Conference on Graphics, Patterns and Images

A Light CNN for Deep Face Representation with Noisy Labels

DeepID3: Face Recognition with Very Deep Neural Networks

Sampling Matters in Deep Embedding Learning


Dump1090 is a simple Mode S decoder for RTLSDR devices

Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

Estimation of aircraft distances using transponder signal strength information

Original and Low-Cost ADS-B System to Fulfill Air Traffic Safety Obligations during High Power LIDAR Operation


A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a partially masked target translation.

Non-Autoregressive Machine Translation with Latent Alignments

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Exposing the Implicit Energy Networks behind Masked Language Models via
  Metropolis--Hastings

Hybrid-Regressive Neural Machine Translation

Hybrid-Regressive Paradigm for Accurate and Speed-Robust Neural Machine Translation

Findings of the Association for Computational Linguistics: ACL 2023


Distributed Asynchronous Hyperparameter Optimization in Python

Practical Bayesian Optimization of Machine Learning Algorithms

Resonant di-Higgs production at gravitational wave benchmarks: a collider study using machine learning

The Journal of high energy physics/The journal of high energy physics

Can we discover double Higgs production at the LHC?


PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Masked Autoencoders Are Scalable Vision Learners

ViViT: A Video Vision Transformer

Is Space-Time Attention All You Need for Video Understanding?

Masked Feature Prediction for Self-Supervised Visual Pre-Training


Liquid Prep offers an end-to-end solution for farmers looking to optimize their water usage, especially during times of drought.


Code for the TriviaQA reading comprehension dataset

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

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering

English Machine Reading Comprehension Datasets: A Survey

Universal Self-Adaptive Prompting

A Frustratingly Easy Improvement for Position Embeddings via Random
  Padding


An empirical analysis of Earth's annual-average surface reflectivity potential


A simple and effective method for detecting out-of-distribution images in neural networks.

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Classification-Reconstruction Learning for Open-Set Recognition

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy

Hyperparameter-Free Out-of-Distribution Detection Using Softmax of Scaled Cosine Similarity

Multiscale Score Matching for Out-of-Distribution Detection

Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples

IEEE transactions on neural networks and learning systems

Hyperdimensional Feature Fusion for Out-Of-Distribution Detection

Task-Agnostic Out-of-Distribution Detection Using Kernel Density Estimation

Out-of-distribution Detection with Boundary Aware Learning

READ: Aggregating Reconstruction Error into Out-of-distribution
  Detection


:package: :snake: pywda Python package for simple access to world's protected areas


Alternative chill models and functions to handle or download weather data


Transform data supporting the IEA Netzero2050 Roadmap (2021) to the IAMC format


Jax/Flax implementation of DeiT and DeiT-III

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

Training data-efficient image transformers & distillation through attention

DeiT III: Revenge of the ViT


Codes used to simulate the action potential in myelinated axons by Arancibia-Carcamo, Ford, Cossell, Ishida, Tohyama & Attwell (2017, eLife) (MyelinatedAxonModel) and by Lezmy, Arancibia-Carcamo, Quintela-Lopez, Sherman, Brophy & Attwell (2021, Science) (AdenosineEffectsOnMyelinatedAxon).

Estimating axon conduction velocity in vivo from microstructural MRI

Mapping axon conduction delays in vivo from microstructural MRI

Predicting the Influence of Axon Myelination on Sound Localization Precision Using a Spiking Neural Network Model of Auditory Brainstem


WACV 2022

Semi-supervised Domain Adaptation via Minimax Entropy

Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation