Automated Adversary Emulation Platform

Cyber security threat modeling based on the MITRE Enterprise ATT&CK Matrix

Offensive Security: Towards Proactive Threat Hunting via Adversary Emulation

CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems

SoK: A Survey of Open-Source Threat Emulators

Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study: (Practical Experience Report)

Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset

SoK: The MITRE ATT&CK Framework in Research and Practice

On Generating and Labeling Network Traffic with Realistic,
  Self-Propagating Malware

Informing Autonomous Deception Systems with Cyber Expert Performance
  Data


Open deep learning compiler stack for cpu, gpu and specialized accelerators

A Hardware-Software Blueprint for Flexible Deep Learning Specialization

Optimizing CNN Model Inference on CPUs

MNN: A Universal and Efficient Inference Engine

A Unified Optimization Approach for CNN Model Inference on Integrated GPUs

Rewrite Rule Inference Using Equality Saturation

I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

PolyDL: Polyhedral Optimizations for Creation of High Performance DL primitives

Automatic identification of self-admitted technical debt from four different sources

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs


Multilingual Sentence & Image Embeddings with BERT

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

On the Sentence Embeddings from Pre-trained Language Models

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

Text Embeddings by Weakly-Supervised Contrastive Pre-training

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

SelfDoc: Self-Supervised Document Representation Learning

Inductive Entity Representations from Text via Link Prediction

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search

Discourse-Aware Unsupervised Summarization of Long Scientific Documents


Spoon is a metaprogramming library to analyze and transform Java source code. :spoon: is made with :heart:, :beers: and :sparkles:. It parses source files to build a well-designed AST with powerful analysis and transformation API.

A comprehensive study of bloated dependencies in the Maven ecosystem

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

A comprehensive study of pseudo-tested methods

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

BreakBot: Analyzing the Impact of Breaking Changes to Assist Library Evolution

Predicting Flaky Tests Categories using Few-Shot Learning

Interacto: A Modern User Interaction Processing Model

IEEE transactions on software engineering

AI Chain on Large Language Model for Unsupervised Control Flow Graph
  Generation for Statically-Typed Partial Code


An IBC relayer for ibc-go

The Interblockchain Communication Protocol: An Overview

TrustBoost: Boosting Trust among Interoperable Blockchains

Interchain Timestamping for Mesh Security


Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Overview of Software Agent Platforms Available in 2023

Agent-based simulations for protecting nursing homes with prevention and vaccination strategies

A new formulation of compartmental epidemic modelling for arbitrary distributions of incubation and removal times

Integrated Planning of Multi-energy Grids: Concepts and Challenges

Hypothesis: a Plastically Produced Phenotype Predicts Host Specialization and Can Precede Subsequent Mutations in Bacteriophage

A simple formulation of non-Markovian SEIR

Modelling flocks of birds and colonies of ants from the bottom up

International journal on software tools for technology transfer

Growing the simulation ecosystem: introducing Mesa Data to provide transparent, accessible, and extensible data pipelines for simulation development


The Agda standard library

Intrinsically-typed definitional interpreters for imperative languages

Symposium on Principles of Programming Languages

Formalizing category theory in Agda

Verified type checker for Jolie programming language

One Monad to Prove Them All (Functional Pearl).

Monotone recursive types and recursive data representations in Cedille

Intrinsically-typed definitional interpreters à la carte

Proceedings of the ACM on programming languages

Symbolic and automatic differentiation of languages

A Relaxation of Üresin and Dubois’ Asynchronous Fixed-Point Theory in Agda

Building on the Diamonds between Theories: Theory Presentation Combinators

Type Theory with Explicit Universe Polymorphism


Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:  https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Random Erasing Data Augmentation

Improved Regularization of Convolutional Neural Networks with Cutout

Albumentations: fast and flexible image augmentations

FDA: Fourier Domain Adaptation for Semantic Segmentation

A Survey of Deep Learning for Scientific Discovery

Impact of Lung Segmentation on the Diagnosis and Explanation of COVID-19 in Chest X-ray Images

Robust deep learning-based semantic organ segmentation in hyperspectral images

Deepfake Videos in the Wild: Analysis and Detection

Unsupervised Change Detection Based on Image Reconstruction Loss

Bugs in machine learning-based systems: a faultload benchmark


The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation

Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data

Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)

Geoscientific instrumentation, methods and data systems

Capturing site-to-site variability through Hierarchical Bayesian calibration of a process-based dynamic vegetation model

Towards understanding predictability in ecology: A forest gap model case study

Towards agricultural soil carbon monitoring, reporting and verification through Field Observatory Network (FiON)

A novel model–data fusion approach to terrestrial carbon cycle reanalysis across the contiguous U.S using SIPNET and PEcAn state data assimilation system v. 1.7.2


The Fast Cross-Platform Package Manager

Streamlining data-intensive biology with workflow systems

AutoEFT: Automated Operator Construction for Effective Field Theories

The seeker R package: simplified fetching and processing of transcriptome data

Snaq: A Dynamic Snakemake Pipeline for Microbiome Data Analysis With QIIME2


The repository for high quality TypeScript type definitions.

OptTyper: Probabilistic Type Inference by Optimising Logical and Natural
  Constraints

Detecting locations in JavaScript programs affected by breaking library changes

Do Machine Learning Models Produce TypeScript Types that Type Check?

Generation of TypeScript Declaration Files from JavaScript Code


Dynamic Instrumentation Tool Platform

Engineering Record and Replay for Deployability

Sydr: Cutting Edge Dynamic Symbolic Execution

2020 Ivannikov Ispras Open Conference (ISPRAS)

The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation

Evaluating Dynamic Binary Instrumentation Systems for Conspicuous Features and Artifacts

Dynamic Binary Translation for SGX Enclaves

Efficient Binary-Level Coverage Analysis


Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

Transfer Graph Neural Networks for Pandemic Forecasting

Analysis of the COVID-19 pandemic by SIR model and machine learning technics for forecasting

Comparative prediction of confirmed cases with COVID-19 pandemic by machine learning, deterministic and stochastic SIR models

A joint model for IT operation series prediction and anomaly detection

Failure diagnosis and trend‐based performance losses routines for the detection and classification of incidents in large‐scale photovoltaic systems

Visualization and machine learning for forecasting of COVID-19 in Senegal

Understand Waiting Time in Transaction Fee Mechanism: An
  Interdisciplinary Perspective

Impact studies of nationwide measures COVID-19 anti-pandemic: compartmental model and machine learning

Forecasting the Consumer Price Index (CPI) of Ecuador: A Comparative Study of Predictive Models

International Journal on Advanced Science, Engineering and Information Technology/International journal of advanced science, engineering and information technology

Crash Diagnosis and Price Rebound Prediction in NYSE Composite Index Based on Visibility Graph and Time-Evolving Stock Correlation Network


MAVLink to ROS gateway with proxy for Ground Control Station

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of intelligent & robotic systems

Real-Time Visual Tracking of Moving Targets Using a Low-Cost Unmanned Aerial Vehicle with a 3-Axis Stabilized Gimbal System

An Onboard Vision-Based System for Autonomous Landing of a Low-Cost Quadrotor on a Novel Landing Pad

Securing UAV communications using ROS with custom ECIES-based method

Zenodo (CERN European Organization for Nuclear Research)

Search Planning of a UAV/UGV Team With Localization Uncertainty in a Subterranean Environment

Fault-Adaptive Autonomy in Systems with Learning-Enabled Components

Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform

An Overview of the Drone Open-Source Ecosystem.

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping


An Industrial Grade Federated Learning Framework

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

SecureBoost: A Lossless Federated Learning Framework

A Secure Federated Transfer Learning Framework

Federated Learning on Non-IID Data: A Survey

FedBCD: A Communication-Efficient Collaborative Learning Framework for Distributed Features

IBM Federated Learning: an Enterprise Framework White Paper V0.1

Secure and Efficient Federated Transfer Learning

Federated Learning on Clinical Benchmark Data: Performance Assessment

A Communication Efficient Vertical Federated Learning Framework.

Two-Phase Multi-Party Computation Enabled Privacy-Preserving Federated
  Learning


TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Deep Reinforcement Learning for Autonomous Driving: A Survey

Offline Reinforcement Learning with Implicit Q-Learning

Dynamics-Aware Unsupervised Discovery of Skills

Acme: A Research Framework for Distributed Reinforcement Learning

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

RecSim: A Configurable Simulation Platform for Recommender Systems

Real-time quantum error correction beyond break-even

Maximum Entropy RL (Provably) Solves Some Robust RL Problems

Data Efficient Reinforcement Learning for Legged Robots

BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments


Models and examples built with TensorFlow

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Going Deeper with Convolutions

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

Rethinking the Inception Architecture for Computer Vision

Focal Loss for Dense Object Detection

Image-to-Image Translation with Conditional Adversarial Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

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


Deep universal probabilistic programming with Python and PyTorch

Pyro: Deep Universal Probabilistic Programming

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Doubly Stochastic Variational Inference for Deep Gaussian Processes

Pomegranate: fast and flexible probabilistic modeling in python

Mining gold from implicit models to improve likelihood-free inference

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

Convolutional Gaussian Processes

Pathwise Derivatives Beyond the Reparameterization Trick

Towards verified stochastic variational inference for probabilistic programs

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

On Distribution Shift in Learning-based Bug Detectors


Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

GPT-4 Technical Report

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

On the Exploitability of Instruction Tuning

Evaluating Large Language Models: A Comprehensive Survey

Large Language Models Are Not Robust Multiple Choice Selectors

Using ChatGPT for Entity Matching

ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis
  Testing

International Governance of Civilian AI: A Jurisdictional Certification Approach

Branch-Solve-Merge Improves Large Language Model Evaluation and
  Generation


ROS Wrapper for Intel(R) RealSense(TM) Cameras

Object Detection Using Sim2Real Domain Randomization for Robotic Applications

Enabling Flexibility in Manufacturing by Integrating Shopfloor and Process Perception for Mobile Robot Workers

A Universal Semantic-Geometric Representation for Robotic Manipulation

Quadrotor Autonomous Landing on Moving Platform

Filling the Gap between Research and Market: Portable Architecture for an Intelligent Autonomous Wheelchair

International journal of environmental research and public health

MIR-Vehicle: Cost-Effective Research Platform for Autonomous Vehicle Applications

Experiments in Autonomous Driving Through Imitation Learning

Bipedal Walking on Constrained Footholds with MPC Footstep Control

Dense 3D Reconstruction Through Lidar: A Comparative Study on Ex-vivo
  Porcine Tissue


Linux system exploration and troubleshooting tool with first class support for containers

Standardized container virtualization approach for collecting host intrusion detection data

PROCEEDINGS OF THE 2019 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS)

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

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

Online Malware Classification with System-Wide System Calls in Cloud IaaS

APTSHIELD: A Stable, Efficient and Real-time APT Detection System for
  Linux Hosts

Diagnosing applications' I/O behavior through system call observability

Scalable Microservice Forensics and Stability Assessment Using Variational Autoencoders


The COnstraint-Based Reconstruction and Analysis Toolbox.              Documentation:

Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0.

Personalized whole‐body models integrate metabolism, physiology, and the gut microbiome

Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson's Disease

CHRR: coordinate hit-and-run with rounding for uniform sampling of constraint-based models

ReconMap: an interactive visualization of human metabolism

MetaboTools: A comprehensive toolbox for analysis of genome-scale
  metabolic models

Identification of Conserved Moieties in Metabolic Networks by Graph Theoretical Analysis of Atom Transition Networks

Model-based assessment of mammalian cell metabolic functionalities using omics data

ReconMap: An interactive visualisation of human metabolism


Single-cell analysis in Python. Scales to >1M cells.

SCANPY: large-scale single-cell gene expression data analysis

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Deep learning enables accurate clustering and batch effect removal in single-cell RNA-seq analysis

Squidpy: a scalable framework for spatial omics analysis

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

SARS-CoV-2 exacerbates proinflammatory responses in myeloid cells through C-type lectin receptors and Tweety family member 2

Embryo model completes gastrulation to neurulation and organogenesis

Targeted pharmacological therapy restores β-cell function for diabetes remission


OpenZeppelin Contracts is a library for secure smart contract development.

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

solc-verify: A Modular Verifier for Solidity Smart Contracts

Verified Software: Theories, Tools, Experiments

A Security Case Study for Blockchain Games

Vyper: A Security Comparison with Solidity Based on Common
  Vulnerabilities

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Integrating the IoT and Blockchain Technology for the Next Generation of Mining Inspection Systems

Why Do Smart Contracts Self-Destruct? Investigating the Selfdestruct Function on Ethereum

An empirical analysis of source code metrics and smart contract resource consumption

Automatic Generation of Ethereum-Based Smart Contracts for Agri-Food Traceability System

Wallet Contracts on Ethereum


Small and highly portable detection tests based on MITRE's ATT&CK.

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat
  Intelligence Reports

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset

Anomaly Detection of Command Shell Sessions based on DistilBERT:
  Unsupervised and Supervised Approaches


A mighty CSS linter that helps you avoid errors and enforce conventions.

Owl Eyes: Spotting UI Display Issues via Visual Understanding

International Conference on Automated Software Engineering

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

GLIB: Towards Automated Test Oracle for Graphically-Rich Applications

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


Dash - Reinventing Cryptocurrency

Blockchain distributed ledger technologies for biomedical and health care applications

Journal of the American Medical Informatics Association : JAMIA

Comparison of blockchain platforms: a systematic review and healthcare examples

SoK of Used Cryptography in Blockchain

Distributed Ledger Technology Review and Decentralized Applications Development Guidelines

Decrypting distributed ledger design—taxonomy, classification and blockchain community evaluation

Defining Blockchain Governance Principles: A Comprehensive Framework

A Pattern Language for Blockchain Governance

Error-Correction Code Proof-of-Work on Ethereum

On the Vital Aspects and Characteristics of Cryptocurrency – A Survey

A jumping mining attack and solution


SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

Optimize Weight Rounding via Signed Gradient Descent for the
  Quantization of LLMs

Efficient Post-training Quantization with FP8 Formats

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

Model Compression in Practice: Lessons Learned from Practitioners
  Creating On-device Machine Learning Experiences

Fast DistilBERT on CPUs

TEQ: Trainable Equivalent Transformation for Quantization of LLMs


The uncompromising Python code formatter

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models

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)

PyThaiNLP: Thai Natural Language Processing in Python

diagNNose: A Library for Neural Activation Analysis

PyXAB – A Python Library for ��-Armed Bandit and Online
  Blackbox Optimization Algorithms

Learning Transformer Programs

MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data

KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome

Journal of chemical information and modeling

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems
  for Real-World Repo-level Coding Challenges

cmaes : A Simple yet Practical Python Library for CMA-ES


:microscope::books: Galaxy Tool wrappers

Open source molecular modeling

Journal of molecular graphics & modelling/Journal of molecular graphics and modelling

antaRNA – Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

The RNA workbench 2.0: next generation RNA data analysis

GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering

Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine

Distinct mechanisms mediate X chromosome dosage compensation in Anopheles and Drosophila

Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries

Implementation of GA-VirReport, a Web-Based Bioinformatics Toolkit for Post-Entry Quarantine Screening of Virus and Viroids in Plants

ChemicalToolBoX and its application on the study of the drug like and purchasable space


Statistical data visualization in Python

Highly accurate protein structure prediction with AlphaFold

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

bioRxiv : the preprint server for biology

On the Influence of Social Bots in Online Protests

Halophilic microbial community compositional shift after a rare rainfall in the Atacama Desert

MADICS: A Methodology for Anomaly Detection in Industrial Control Systems

Revealing fine-scale spatiotemporal differences in SARS-CoV-2 introduction and spread

Incorporating spatial dose metrics in machine learning-based normal tissue complication probability (NTCP) models of severe acute dysphagia resulting from head and neck radiotherapy

Clinical and translational radiation oncology

A spinal organ of proprioception for integrated motor action feedback

Electrical Polarization Enables Integrative Quality Control during Bacterial Differentiation into Spores

CNVkit: Copy number detection and visualization for targeted sequencing using off-target reads


Apache Lucene open-source search software

Automatic Detection of COVID-19 Vaccine Misinformation with Graph Link
  Prediction

VaccineLies: A Natural Language Resource for Learning to Recognize
  Misinformation about the COVID-19 and HPV Vaccines

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

ARIST: An Effective API Argument Recommendation Approach

Vector Search with OpenAI Embeddings: Lucene Is All You Need

CoSwID, a Code Switching Identification Method Suitable for Under-Resourced Languages

HAL (Le Centre pour la Communication Scientifique Directe)

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks


The Ethereum Improvement Proposal repository

A Survey on the Security of Blockchain Systems

Decentralization in Bitcoin and Ethereum Networks

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

Optimized Execution of Business Processes on Blockchain

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Blockchain for Cities—A Systematic Literature Review

The ICO Phenomenon and Its Relationships with Ethereum Smart Contract
  Environment

Identity Management Systems for the Internet of Things: A Survey Towards Blockchain Solutions

IDMoB: IoT Data Marketplace on Blockchain

Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers


Exascale global atmosphere model written in C++ as part of the E3SM project

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM)

Journal of advances in modeling earth systems


The official sources for the RDKit library

Low Data Drug Discovery with One-Shot Learning

Optimization of Molecules via Deep Reinforcement Learning

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Deep Generative Models for 3D Linker Design

Improving Chemical Autoencoder Latent Space and Molecular De Novo Generation Diversity with Heteroencoders

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

Molecular Generation with Recurrent Neural Networks (RNNs)

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

Large-scale chemical language representations capture molecular structure and properties


HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.

Long read nanopore sequencing for detection of HLA and CYP2D6 variants and haplotypes

A voltage and current measurement dataset for plug load appliance identification in households

Beyond subhalos: Probing the collective effect of the Universe’s small-scale structure with gravitational lensing

BrainLiner: A Neuroinformatics Platform for Sharing Time-Aligned Brain-Behavior Data

Deep learning for Directional Dark Matter search

The Incubascope : a simple, compact and large field of view microscope for long-term imaging inside an incubator

HetSeq: Distributed GPU Training on Heterogeneous Infrastructure


Operate and manipulate physical quantities in Python

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

ChemKED: A Human‐ and Machine‐Readable Data Standard for Chemical Kinetics Experiments

unyt: Handle, manipulate, and convert data with units in Python

ACES: Translation Accuracy Challenge Sets for Evaluating Machine
  Translation Metrics

Unit of measurement libraries, their popularity and suitability

Masked Measurement Prediction: Learning to Jointly Predict Quantities and Units from Textual Context

PyTeCK: a Python-based automatic testing package for chemical kinetic models

Proceedings of the Python in Science Conferences

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


The C++ Standard Library for Parallelism and Concurrency

HPX -- An open source C++ Standard Library for Parallelism and
  Concurrency

Implementing Software Resiliency in HPX for Extreme Scale Computing

Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

Towards Distributed Software Resilience in Asynchronous Many-Task Programming Models.

Supporting OpenMP 5.0 Tasks in hpxMP -- A study of an OpenMP
  implementation within Task Based Runtime Systems

Many Cores, Many Models: GPU Programming Model vs. Vendor Compatibility Overview


Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

On Distribution Shift in Learning-based Bug Detectors

ServerMix: Tradeoffs and Challenges of Serverless Data Analytics.

Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration

Quant 4.0: Engineering Quantitative Investment with Automated,
  Explainable and Knowledge-driven Artificial Intelligence

Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models

Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests

2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

Arteria: An automation system for a sequencing core facility


FASTJSON 2.0.x has been released, faster and more secure, recommend you upgrade.

A large-scale longitudinal study of flaky tests

Proceedings of the ACM on programming languages

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

Bootstrapping Automated Testing for RESTful Web Services

RegMiner: Towards Constructing Large Regression Dataset from Code Evolution History

How well does LLM generate security tests?

On the Use of Mutation in Injecting Test Order-Dependency

An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent

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


The official GitHub mirror of the Chromium source

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

Data Quality for Software Vulnerability Datasets

TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data

State machine inference of QUIC

WeakSATD: Detecting Weak Self-admitted Technical Debt

Proceedings of the 19th International Conference on Mining Software Repositories

Eradicating Attacks on the Internal Network with Internal Network Policy.

The Importance of Discerning Flaky from Fault-triggering Test Failures:
  A Case Study on the Chromium CI


Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Mish: A Self Regularized Non-Monotonic Activation Function

Training Deep Networks without Learning Rates Through Coin Betting

Deep learning in electron microscopy

Machine learning: science and technology

Challenges in migrating imperative deep learning programs to graph execution

Uncertainty-Aware Learning for Improvements in Image Quality of the Canada-France-Hawaii Telescope

Improving Training Stability for Multitask Ranking Models in Recommender Systems


A reference client implementation for the playback of MPEG DASH via Javascript and compliant browsers.

Neural Adaptive Video Streaming with Pensieve

SIGCOMM '17: PROCEEDINGS OF THE 2017 CONFERENCE OF THE ACM SPECIAL INTEREST GROUP ON DATA COMMUNICATION

Orchestrating the Development Lifecycle of Machine Learning-Based IoT Applications: A Taxonomy and Survey

Pano: Optimizing 360 Video Streaming with a Better Understanding
  of Quality Perception

Interpreting Deep Learning-Based Networking Systems

TogetherVR: A Framework for Photorealistic Shared Media Experiences in 360-Degree VR

DASH Adaptation Algorithm Based on Adaptive Forgetting Factor Estimation

A DASH-Based Adaptive Multiple Sensorial Content Delivery Solution for Improved User Quality of Experience

Accessibility in 360° video players

NEWCAST: Anticipating Resource Management and QoE Provisioning for
  Mobile Video Streaming

PoliFi: Airtime Policy Enforcement for WiFi


Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.

BigDL: A Distributed Deep Learning Framework for Big Data

Deep learning in electron microscopy

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

ReLoRA: High-Rank Training Through Low-Rank Updates

Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences.

Accurate Differentially Private Deep Learning on the Edge

IEEE transactions on parallel and distributed systems

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster

Two Neural Models for Multilingual Grammatical Error Detection

Linköping electronic conference proceedings

Evolution of Influential Developer’s Communities in OSS and its Impact on Quality

Intelligent automation and soft computing/Intelligent automation & soft computing


The leading Wasm Runtime supporting WASIX, WASI and Emscripten

Security risks of porting C programs to webassembly

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

A fast in-place interpreter for WebAssembly

The Security Risk of Lacking Compiler Protection in WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode


:mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!

From One to Hundreds: Multi-Licensing in the JavaScript Ecosystem

StarCoder 2 and The Stack v2: The Next Generation

FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications


Apache Commons Lang

Mining Fix Patterns for FindBugs Violations

A Closer Look at Real-World Patches

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME)

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE transactions on software engineering

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

Compatible Remediation on Vulnerabilities from Third-Party Libraries for Java Projects

RegMiner: Towards Constructing Large Regression Dataset from Code Evolution History

Internal Quality Evolution of Open-Source Software Systems


A game theoretic approach to explain the output of any machine learning model.

A Unified Approach to Interpreting Model Predictions

Axiomatic Attribution for Deep Networks

Learning Important Features Through Propagating Activation Differences

SmoothGrad: removing noise by adding noise

Consistent Individualized Feature Attribution for Tree Ensembles

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

Explainable AI Methods - A Brief Overview

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Explaining by Removing: A Unified Framework for Model Explanation

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


A collection of Jupyter notebooks showing how to use the Qiskit SDK

Quantum Generative Adversarial Networks for learning and loading random distributions

Iterative quantum amplitude estimation

Temporal Information Processing on Noisy Quantum Computers

Quantum Volume in Practice: What Users Can Expect From NISQ Devices

IEEE transactions on quantum engineering

The Holy Grail of Quantum Artificial Intelligence: Major Challenges in Accelerating the Machine Learning Pipeline

Bell Diagonal and Werner State Generation: Entanglement, Non-Locality, Steering and Discord on the IBM Quantum Computer

Mutation Testing of Quantum Programs: A Case Study With Qiskit

Faster and More Reliable Quantum SWAPs via Native Gates

Maximal Entanglement. Applications in Quantum Information and Particle Physics

Quantum Computing: an undergraduate approach using Qiskit


Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.

TorchGeo: Deep Learning With Geospatial Data

Unifying GANs and Score-Based Diffusion as Generative Particle Models

Concept-centric Personalization with Large-scale Diffusion Priors

YAMLE: Yet Another Machine Learning Environment

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty
  Quantification

Comparing Hallucination Detection Metrics for Multilingual Generation

Latte: Cross-framework Python package for evaluation of latent-based generative models


Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

A Contextual-Bandit Approach to Personalized News Article Recommendation

Curiosity-driven Exploration by Self-supervised Prediction

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm


Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

On the Effectiveness of Binary Emulation in Malware Classification


Open Food Facts database, API server and web interface -  Perl, CSS and JS coders welcome  For helping in Python, see Robotoff or taxonomy-editor


CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!

Do Software Security Practices Yield Fewer Vulnerabilities?

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures


Mirror of Apache Cassandra

Probabilistically Bounded Staleness for Practical Partial Quorums

Hardening Cassandra Against Byzantine Failures

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study

AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry

Study on Resource Efficiency of Distributed Graph Processing

InK: In-Kernel Key-Value Storage with Persistent Memory


A very simple framework for state-of-the-art Natural Language Processing (NLP)

Transformers: State-of-the-Art Natural Language Processing

Deep contextualized word representations

Recurrent Neural Network Grammars

Named Entity Recognition with Bidirectional LSTM-CNNs

Pre-trained models for natural language processing: A survey

Contextual String Embeddings for Sequence Labeling

International Conference on Computational Linguistics

FLAIR: An Easy-to-Use Framework for State-of-the-Art NLP

North American Chapter of the Association for Computational Linguistics

Semi-supervised sequence tagging with bidirectional language models

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Pooled Contextualized Embeddings for Named Entity Recognition


Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023

RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports

On the Effectiveness of Clone Detection for Detecting IoT-related Vulnerable Clones

Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses


Continuous Inspection

Example-Based Vulnerability Detection and Repair in Java Code

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite

How well does LLM generate security tests?

JavaDL: automatically incrementalizing Java bug pattern detection

Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages