Antares-Simulator is an Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.


Emoji for everyone. https://twemoji.twitter.com/

Recipes for Safety in Open-domain Chatbots

Bot-Adversarial Dialogue for Safe Conversational Agents

North American Chapter of the Association for Computational Linguistics

Telemedicine in Heart Failure During COVID-19: A Step Into the Future

Boomerang: Redundancy Improves Latency and Throughput in Payment-Channel Networks

AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking.

The nature of conflict in community pharmacy – A pilot study of pharmacists’ experiences during the COVID-19 pandemic

Research in social & administrative pharmacy/Research in social and administrative pharmacy


A Python toolbox for performing gradient-free optimization

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

Transforming and Projecting Images into Class-conditional Generative Networks

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Benchmarking in Optimization: Best Practice and Open Issues

Krotov: A Python implementation of Krotov's method for quantum optimal control

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

An End-to-End Differentiable Framework for Contact-Aware Robot Design


Project overview, general documentation, and white papers. The CWA development ends on May 31, 2023. You still can warn other users until April 30, 2023. More information:

Nationwide rollout reveals efficacy of epidemic control through digital contact tracing

Best Practice Guidance for Digital Contact Tracing Apps: A Cross-disciplinary Review of the Literature

Corona-warn-app: tracing the start of the official COVID-19 exposure notification app for germany

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

CiRA: A Tool for the Automatic Detection of Causal Relationships in Requirements Artifacts.

Risk Model of German Corona Warning App - Reloaded


Finite Element Analysis Library in Python

Piecewise Divergence-Free Nonconforming Virtual Elements for Stokes Problem in Any Dimensions

H^m-Conforming Virtual Elements in Arbitrary Dimension

Geometric Decomposition and Efficient Implementation of High Order Face
  and Edge Elements


SonarQube C++ Community plugin (cxx plugin): This plugin adds C++ support to SonarQube with the focus on integration of existing C++ tools.

Efficient Feature Selection for Static Analysis Vulnerability Prediction

Long-Term Evaluation of Technical Debt in Open-Source Software

A Study of Maintainability in Evolving Open-Source Software


netcdf4-python: python/numpy interface to the netCDF C library

Assessment of natural and anthropogenic aerosol air pollution in the Middle East using MERRA-2, CAMS data assimilation products, and high-resolution WRF-Chem model simulations

Open source QGIS toolkit for the Advanced Research WRF modelling system

Study of SO Pollution in the Middle East Using MERRA‐2, CAMS Data Assimilation Products, and High‐Resolution WRF‐Chem Simulations

Journal of geophysical research. Atmospheres

A statistical-parametric model of tropical cyclones for hazard assessment

Natural hazards and earth system sciences

Improving dust simulations in WRF-Chem model v4.1.3 coupled with GOCART aerosol module

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea


This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for
  Scientific Data

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent.

LMNet: Real-time Multiclass Object Detection on CPU Using 3D LiDAR

Restructuring Batch Normalization to Accelerate CNN Training

Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight

Highly Efficient 8-bit Low Precision Inference of Convolutional Neural Networks with IntelCaffe


A blockchain benchmark framework to measure performance of multiple blockchain solutions https://wiki.hyperledger.org/display/caliper

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Hybrid blockchain–based privacy-preserving electronic medical records sharing scheme across medical information control system

Physical Access Control Management System Based on Permissioned Blockchain

IEEE 2018 INTERNATIONAL CONGRESS ON CYBERMATICS / 2018 IEEE CONFERENCES ON INTERNET OF THINGS, GREEN COMPUTING AND COMMUNICATIONS, CYBER, PHYSICAL AND SOCIAL COMPUTING, SMART DATA, BLOCKCHAIN, COMPUTER AND INFORMATION TECHNOLOGY

How to Databasify a Blockchain: the Case of Hyperledger Fabric

Blockchain Testing: Challenges, Techniques, and Research Directions

Performance Tuning and Scaling Enterprise Blockchain Applications

Blockchains and Distributed Databases: a Twin Study.

Health-zkIDM: A Healthcare Identity System Based on Fabric Blockchain and Zero-Knowledge Proof

Gromit: Benchmarking the Performance and Scalability of Blockchain Systems

Towards Practical Applications in Modeling Blockchain System


Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Convolutional Sequence to Sequence Learning

A Call for Clarity in Reporting BLEU Scores

Achieving Human Parity on Automatic Chinese to English News Translation

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

Training Tips for the Transformer Model

The Prague Bulletin of Mathematical Linguistics

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures

A Study of Reinforcement Learning for Neural Machine Translation

Style Transfer as Unsupervised Machine Translation


Groundwater Wells and Aquifers application for the Ministry of Environment


Automatic License Plate Recognition library

Based on Data Mining and Big Data Intelligent System in Enterprise Cost Accounting Optimization Application

Foggy: A Platform for Workload Orchestration in a Fog Computing Environment

IEEE International Conference on Cloud Computing Technology and Science

Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images

Measuring On-Road Vehicle Emissions with Multiple Instruments Including Remote Sensing

ShareOn: Shared Resource Dynamic Container Migration Framework for Real-Time Support in Mobile Edge Clouds

A Low-Cost Automatic Vehicle Identification Sensor for Traffic Networks Analysis

Synthesizing Annotated Image and Video Data Using a Rendering-Based
  Pipeline for Improved License Plate Recognition

Multi-String Missing Characters Restoration for Automatic License Plate Recognition System

International journal of advanced computer science and applications/International journal of advanced computer science & applications


The City Energy Analyst (CEA)

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Ethically Responsible Machine Learning in Fintech

A Review of the Role of Causality in Developing Trustworthy AI Systems

A Comprehensive Review on Financial Explainable AI


TensorFlow-based neural network library

Highly accurate protein structure prediction with AlphaFold

Neural Discrete Representation Learning

Generating Diverse High-Fidelity Images with VQ-VAE-2

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

NiftyNet: a deep-learning platform for medical imaging

Computer methods and programs in biomedicine

Relational recurrent neural networks

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

Sobolev Training for Neural Networks

Unsupervised Predictive Memory in a Goal-Directed Agent

Taming VAEs


Corda is an open source blockchain project, designed for business from the start. Only Corda allows you to build interoperable blockchain networks that transact in strict privacy. Corda's smart contract technology allows businesses to transact directly, with value.

ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains.

FireLedger: A High Throughput Blockchain Consensus Protocol

Towards Global Asset Management in Blockchain Systems

A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

Corda Security Ontology: Example of Post-Trade Matching and Confirmation

The Bedrock of Byzantine Fault Tolerance: A Unified Platform for BFT
  Protocol Design and Implementation

AdaChain: A Learned Adaptive Blockchain

Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


U.S. National Reporting Platform for the Sustainable Development Goals


Keras community contributions

Overinterpretation reveals image classification model pathologies

InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification

Deep Insights of Deepfake Technology : A Review

Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks

International Conference on Telecommunications and Signal Processing

Resource Mention Extraction for MOOC Discussion Forums

MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float


An extensible YANG validator and converter in python

Experimental evaluation of control and monitoring protocols for optical SDN networks and equipment [Invited Tutorial]

Journal of optical communications and networking

Emulating Software-Defined Disaggregated Optical Networks in a Containerized Framework

YANG2UML: Bijective Transformation and Simplification of YANG to UML


emoji terminal output for Python

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks

Cross-lingual Zero- and Few-shot Hate Speech Detection Utilising Frozen Transformer Language Models and AXEL

RoBERTuito: a pre-trained language model for social media text in
  Spanish

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

An Experimental Analysis of Data Annotation Methodologies for Emotion Detection in Short Text Posted on Social Media

Zenodo (CERN European Organization for Nuclear Research)

Abuse is Contextual, What about NLP? The Role of Context in Abusive
  Language Annotation and Detection

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection

Findings of the WMT 2020 Shared Task on Machine Translation Robustness

Empirical Methods in Natural Language Processing


bedtools - the swiss army knife for genome arithmetic

Whole genome de novo assemblies of three divergent strains of rice, Oryza sativa, document novel gene space of aus and indica

PRMD: an integrated database for plant RNA modifications

Non-redundant ISGF3 Components Promote NK Cell Survival in an Auto-regulatory Manner during Viral Infection

Whole genome characterization of sequence diversity of 15,220 Icelanders

The evolutionarily conserved piRNA-producing locus pi6 is required for male mouse fertility

MYC Recruits SPT5 to RNA Polymerase II to Promote Processive Transcription Elongation

Curated variation benchmarks for challenging medically relevant autosomal genes

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

G-quadruplexes offer a conserved structural motif for NONO recruitment to NEAT1 architectural lncRNA

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions


An Open, Scalable, Portable, Ray Tracing Based Rendering Engine for High-Fidelity Visualization

VDB: High-resolution sparse volumes with dynamic topology

RBF Volume Ray Casting on Multicore and Manycore CPUs

CPU volume rendering of adaptive mesh refinement data

SA'17: SIGGRAPH ASIA 2017 SYMPOSIUM ON VISUALIZATION


3D Reconstruction Software

A Survey of Embodied AI: From Simulators to Research Tasks

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

A Study of 3D Digitisation Modalities for Crime Scene Investigation

Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry

Simulation Environment for Safety Assessment of CEAV Deployment in
  Linden

3D Surface Reconstruction From Multi-Date Satellite Images

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Ichnotaxonomy and trackmaker assignment of tetrapod tracks and swimming traces from the Middle Permian Hornburg Formation of Saxony-Anhalt (Germany)

Annales Societatis Geologorum Poloniae/Rocznik Polskiego Towarzystwa Geologicznego

A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking

Selection of Key Frames for 3D Reconstruction in Real Time


Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Continual Learning Through Synaptic Intelligence

Progressive Neural Networks

Continual Learning with Deep Generative Replay

Memory Aware Synapses: Learning what (not) to forget

Efficient Lifelong Learning with A-GEM

Large Scale Incremental Learning


Performance monitoring and benchmarking suite

A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication

Fast Matrix-Free Evaluation of Discontinuous Galerkin Finite Element Operators

ACM transactions on mathematical software

Multidimensional Intratile Parallelization for Memory-Starved Stencil Computations

Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling

Memory Performance of AMD EPYC Rome and Intel Cascade Lake SP Server Processors

Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering

A Hermite-like basis for faster matrix-free evaluation of interior penalty discontinuous Galerkin operators

Dynamic Load Balancing Techniques for Particulate Flow Simulations

Textbook efficiency: massively parallel matrix-free multigrid for the
  Stokes system

Validation of Hardware Events for Successful Performance Pattern Identification in High Performance Computing


Cross-platform, customizable ML solutions for live and streaming media.

MediaPipe: A Framework for Building Perception Pipelines

BlazePose: On-device Real-time Body Pose tracking

Attention Mesh: High-fidelity Face Mesh Prediction in Real-time

Video-Based Hand Movement Analysis of Parkinson Patients before and after Medication Using High-Frame-Rate Videos and MediaPipe

StyleAvatar: Real-time Photo-realistic Portrait Avatar from a Single Video

A Survey on Yogic Posture Recognition

Video-to-Music Recommendation Using Temporal Alignment of Segments

Systematic identification of endogenous strong constitutive promoters from the diazotrophic rhizosphere bacterium Pseudomonas stutzeri DSM4166 to improve its nitrogenase activity

Extend the FFmpeg Framework to Analyze Media Content

Gesture-Based Human Machine Interaction Using RCNNs in Limited Computation Power Devices


Compiler for Neural Network hardware accelerators

Glow: Graph Lowering Compiler Techniques for Neural Networks

Relay: A High-Level Compiler for Deep Learning

Design Space Exploration of a Multi-Model AI-Based Indoor Localization System

Graft: Efficient Inference Serving for Hybrid Deep Learning With SLO Guarantees via DNN Re-Alignment

Optimising AI Training Deployments using Graph Compilers and Containers

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using
  MicroTVM


Galaxy Tool Shed repositories maintained and developed by the GalaxyP community

Discovery of coding regions in the human genome by integrated proteogenomics analysis workflow

Accessible and reproducible mass spectrometry imaging data analysis in Galaxy

Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

MaxQuant and MSstats in Galaxy enable reproducible cloud-based analysis of quantitative proteomics experiments for everyone

Quantitative Proteogenomic Characterization of Inflamed Murine Colon Tissue Using an Integrated Discovery, Verification, and Validation Proteogenomic Workflow


Header-only C++/python library for fast approximate nearest neighbors

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

International journal of computer vision

Fashion Outfit Complementary Item Retrieval

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

Return of the Lernaean Hydra: Experimental Evaluation of Data Series Approximate Similarity Search

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

OutfitTransformer: Learning Outfit Representations for Fashion Recommendation

Graph based Nearest Neighbor Search: Promises and Failures

Large-Scale Visual Search with Binary Distributed Graph at Alibaba

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

Optimizing FPGA-based Accelerator Design for Large-Scale Molecular Similarity Search (Special Session Paper)


A standalone version of the readability lib

SpeedReader: Reader Mode Made Fast and Private

The Rise and Fall of Fake News sites: A Traffic Analysis

Understanding Retrieval Augmentation for Long-Form Question Answering

Counting Protests in News Articles: A Dataset and Semi-Automated Data
  Collection Pipeline

WikiHowQA: A Comprehensive Benchmark for Multi-Document Non-Factoid Question Answering

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Extracting the Main Content of Web Pages Using the First Impression Area

Extraction of Relevant Images for Boilerplate Removal in Web Browsers


Repository for the open-source lethe CFD/DEM/CFD-DEM project

Lethe-DEM: an open-source parallel discrete element solver with load balancing

Toward High-Order CFD-DEM: Development and Validation

Load-Balancing Strategies in Discrete Element Method Simulations


A multi-party collaborative machine learning framework

Advances and Open Problems in Federated Learning

Label Leakage and Protection in Two-party Split Learning

Vertical Federated Learning: Challenges, Methodologies and Experiments

FedLab: A Flexible Federated Learning Framework

DPAUC: Differentially Private AUC Computation in Federated Learning

Vertical Federated Learning: Taxonomies, Threats, and Prospects


Embeddable genomic visualization component based on the Integrative Genomics Viewer

CeNDR, the Caenorhabditis elegans natural diversity resource

igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV)

T1TAdb: the database of Type I Toxin-Antitoxin systems

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

proChIPdb: a chromatin immunoprecipitation database for prokaryotic organisms

Visualization tools for human structural variations identified by whole-genome sequencing

Ten simple rules for researchers who want to develop web apps

Multi Locus View: an extensible web-based tool for the analysis of genomic data.

Comparative assessment of long-read error-correction software applied to RNA-sequencing data

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools


PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

PyPSA-Eur: An open optimisation model of the European transmission system

Global estimations of wind energy potential considering seasonal air density changes

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

Intersecting near-optimal spaces: European power systems with more resilience to weather variability

Creation of a computational framework for the European transmission grid with Power-to-Gas

International Universities Power Engineering Conference


Multibody Dynamics Library designed for Free Floating Robots

Incremental Semiparametric Inverse Dynamics Learning

International Conference on Robotics and Automation

Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques

A Control Architecture with Online Predictive Planning for Position and Torque Controlled Walking of Humanoid Robots

Dynamic Complementarity Conditions and Whole-Body Trajectory Optimization for Humanoid Robot Locomotion

Predictive Whole-Body Control of Humanoid Robot Locomotion

Large-scale Kernel Methods and Applications to Lifelong Robot Learning


GEOS-Chem "Science Codebase" repository.  Contains GEOS-Chem science routines, run directory generation scripts, and interface code.  This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).

Improving the prediction of an atmospheric chemistry transport model using gradient-boosted regression trees

Influences of oceanic ozone deposition on tropospheric photochemistry

Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model

Journal of advances in modeling earth systems

Low-NO atmospheric oxidation pathways in a polluted megacity

Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)

Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions

Vertical profiles of light absorption and scattering associated with black-carbon particle fractions in the springtime Arctic above 79° N

Comparison of model and ground observations finds snowpack and blowing snow aerosols both contribute to Arctic tropospheric reactive bromine

Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1

Comparing the Importance of Iodine and Isoprene on Tropospheric Photochemistry


POT : Python Optimal Transport

Optimal Transport for structured data with application on graphs

Wasserstein Weisfeiler-Lehman Graph Kernels

Community Detection on Networks with Ricci Flow

Wasserstein Discriminant Analysis

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties

A single-cell atlas of the mouse and human prostate reveals heterogeneity and conservation of epithelial progenitors

Fairness Violations and Mitigation under Covariate Shift

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency

Partial Optimal Transport with Applications on Positive-Unlabeled Learning

Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport

Understanding the Topology and the Geometry of the Space of Persistence
  Diagrams via Optimal Partial Transport


scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.

Conformational distributions of isolated myosin motor domains encode their mechanochemical properties

Model-based testing for space–time interaction using point processes: An application to psychiatric hospital admissions in an urban area

Spatial and spatio-temporal epidemiology

Metatranscriptomics-guided genome-scale metabolic modeling of microbial communities

Interactions between fecal gut microbiome, enteric pathogens, and energy regulating hormones among acutely malnourished rural Gambian children

Trans-driven variation in expression is common among detoxification genes in the extreme generalist herbivore Tetranychus urticae

microbioTA: an atlas of the microbiome in multiple disease tissues of Homo sapiens and Mus musculus

MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations

Single-cell landscape of primary central nervous system diffuse large B-cell lymphoma

BiGAMi: Bi-Objective Genetic Algorithm Fitness Function for Feature Selection on Microbiome Datasets


A modular, open and non-proprietary toolkit for core robotic functionalities by harnessing deep learning

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo
  Images

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration

2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)


SCION Internet Architecture

Carbon-Intelligent Global Routing in Path-Aware Networks

Leveraging the SCION Internet Architecture to Accelerate File Transfers
  over BitTorrent


tensorboard for pytorch (and chainer, mxnet, numpy, ...)

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform

A Decreasing Scaling Transition Scheme from Adam to SGD

GammaLearn - first steps to apply Deep Learning to the Cherenkov Telescope Array data

On (Emergent) Systematic Generalisation and Compositionality in Visual
  Referential Games with Straight-Through Gumbel-Softmax Estimator

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

Meeting of the Association for Computational Linguistics

ReferentialGym: A Nomenclature and Framework for Language Emergence & Grounding in (Visual) Referential Games.

Visual Referential Games Further the Emergence of Disentangled
  Representations


Assemble, configure, and deploy autonomous AI Agents in your browser.

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face

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

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring
  Emergent Behaviors

AgentBench: Evaluating LLMs as Agents

Data-Copilot: Bridging Billions of Data and Humans with Autonomous
  Workflow

Dynamic LLM-Agent Network: An LLM-agent Collaboration Framework with
  Agent Team Optimization

You Only Look at Screens: Multimodal Chain-of-Action Agents

Igniting Language Intelligence: The Hitchhiker's Guide From
  Chain-of-Thought Reasoning to Language Agents

SmartPlay: A Benchmark for LLMs as Intelligent Agents

An In-depth Survey of Large Language Model-based Artificial Intelligence
  Agents


DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, A
  Large-Scale Generative Language Model

VideoMAE: Masked Autoencoders are Data-Efficient Learners for
  Self-Supervised Video Pre-Training

On the Utility of Prediction Sets in Human-AI Teams

GIT: A Generative Image-to-text Transformer for Vision and Language

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

ZeRO-Offload: Democratizing Billion-Scale Model Training

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models

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

Parallel Physics-Informed Neural Networks via Domain Decomposition


PyPSA: Python for Power System Analysis

PyPSA: Python for Power System Analysis

Regional impacts of electricity system transition in Central Europe until 2035

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

Agent-based Model for Spot and Balancing Electricity Markets

Transmission Expansion Planning Using Cycle Flows

International Conference on Future Energy Systems


Parsing ELF and DWARF in Python

XDA: Accurate, Robust Disassembly with Transfer Learning

Mitigating Data-only Attacks by Protecting Memory-resident Sensitive Data

Large-scale Debloating of Binary Shared Libraries

Reliable and fast DWARF-based stack unwinding

Proceedings of the ACM on programming languages

Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large
  Language Models

Secure Optimization Through Opaque Observations

Characterization and Comparison of Application Resilience for Serial and Parallel Executions

Black-box Attacks Against Neural Binary Function Detection


A python Linear Programming API

Volume-Optimal Cycle: Tightest Representative Cycle of a Generator in Persistent Homology

Player Chemistry: Striving for a Perfectly Balanced Soccer Team.

Sensitivity and spectral control of network lasers

Faking feature importance: A cautionary tale on the use of
  differentially-private synthetic data

ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning

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

An outer-approximation guided optimization approach for constrained neural network inverse problems

A matheuristic algorithm for the single-source capacitated facility
  location problem and its variants

Testing the Consistency of Performance Scores Reported for Binary Classification Problems


fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

Pre-trained models for natural language processing: A survey

FLAT: Chinese NER Using Flat-Lattice Transformer

Star-Transformer

A Unified Generative Framework for Various NER Subtasks

A Unified Generative Framework for Aspect-Based Sentiment Analysis

Searching for Effective Neural Extractive Summarization: What Works and What's Next

Graph Neural Networks Inspired by Classical Iterative Algorithms

A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing

BERT for Monolingual and Cross-Lingual Reverse Dictionary

A Practical Chinese Dependency Parser Based on A Large-scale Dataset


JupyterLab computational environment.

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

Proceedings of the ACM on human-computer interaction

How do Data Science Workers Collaborate? Roles, Workflows, and Tools

Goals, Process, and Challenges of Exploratory Data Analysis: An Interview Study

Practice and Experience in Advanced Research Computing

How Much Automation Does a Data Scientist Want?

Workflow-Driven Distributed Machine Learning in CHASE-CI: A Cognitive Hardware and Software Ecosystem Community Infrastructure

JOVIAL: Notebook-based Astronomical Data Analysis in the Cloud

Towards a Dynamic Composability Approach for using Heterogeneous Systems in Remote Sensing

Notably Inaccessible — Data Driven Understanding of Data Science Notebook (In)Accessibility

The 25th International ACM SIGACCESS Conference on Computers and Accessibility

Towards Measuring Vulnerabilities and Exposures in Open-Source Packages


Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

Multi-threaded Sparse Matrix-Matrix Multiplication for Many-Core and GPU Architectures

Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and
  Graph Kernels

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments

Sparse Matrix-Matrix Multiplication on Multilevel Memory Architectures :
  Algorithms and Experiments

Parallel Graph Coloring Algorithms for Distributed GPU Environments


A toolkit for reproducible reinforcement learning research.

Benchmarking Deep Reinforcement Learning for Continuous Control

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

A Survey of Algorithms for Black-Box Safety Validation of Cyber-Physical Systems

Sim-to-(Multi)-Real: Transfer of Low-Level Robust Control Policies to Multiple Quadrotors

AllenAct: A Framework for Embodied AI Research

Deep Reinforcement Learning with Smooth Policy

Is the Policy Gradient a Gradient?

Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning

Heuristic-Guided Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library


Trax — Deep Learning with Clear Code and Speed

Reformer: The Efficient Transformer

Rethinking Attention with Performers

Program Synthesis with Large Language Models

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers

Sparse is Enough in Scaling Transformers

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Hierarchical Transformers Are More Efficient Language Models

Improving Transformer-Based Neural Machine Translation with Prior Alignments

Incremental Sampling Without Replacement for Sequence Models


Fork of OpenSSL 1.1.1 that includes prototype quantum-resistant algorithms and ciphersuites based on liboqs [OQS-OpenSSL 1.1.1 is NO LONGER SUPPORTED, please switch to OQS-Provider for OpenSSL 3]

Secure IoT in the Era of Quantum Computers—Where Are the Bottlenecks?

Resilience Optimization of Post-Quantum Cryptography Key Encapsulation Algorithms


Memkind is an easy-to-use, general-purpose allocator which helps to fully utilize various kinds of memory available in the system, including DRAM, NVDIMM, and HBM

Empirical Performance Analysis of Collective Communication for Distributed Deep Learning in a Many-Core CPU Environment

Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory


Turi Create simplifies the development of custom machine learning models.

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

HybridSVD: When Collaborative Information is Not Enough

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Ten Quick Tips for Deep Learning in Biology

Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology

A Lightweight Approach to Localization for Blind and Visually Impaired Travelers

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering

Variational Inference for Category Recommendation in E-Commerce platforms


newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

The neural architecture of language: Integrative modeling converges on predictive processing

All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text

A Survey on Data Augmentation for Text Classification

ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research

International Conference on Information and Knowledge Management

Predicting Race and Ethnicity From the Sequence of Characters in a Name

Controllable protein design with language models

RealTime QA: What's the Answer Right Now?

Algorithmic fairness datasets: the story so far

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

MediaRank: Computational Ranking of Online News Sources


Reference models and tools for Cloud TPUs.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

AutoAugment: Learning Augmentation Policies from Data

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Randaugment: Practical automated data augmentation with a reduced search space

Regularized Evolution for Image Classifier Architecture Search

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Self-training with Noisy Student improves ImageNet classification

Unsupervised Data Augmentation for Consistency Training

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection


High-efficiency floating-point neural network inference operators for mobile, server, and Web

Fast Sparse ConvNets

Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better

Rethinking Vision Transformers for MobileNet Size and Speed

The Indirect Convolution Algorithm

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

Efficient Memory Management for Deep Neural Net Inference

Performance Evaluation of Offline Speech Recognition on Edge Devices

The Two-Pass Softmax Algorithm

Accelerating Deep Learning Model Inference on Arm CPUs with Ultra-Low
  Bit Quantization and Runtime

LoopStack: a Lightweight Tensor Algebra Compiler Stack


OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

Training language models to follow instructions with human feedback

Instruction Tuning with GPT-4

OpenAssistant Conversations -- Democratizing Large Language Model
  Alignment

Instruction Tuning for Large Language Models: A Survey

Preference Ranking Optimization for Human Alignment

AgentBench: Evaluating LLMs as Agents

Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT

Visual Adversarial Examples Jailbreak Aligned Large Language Models

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large
  Language Models


OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.

OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks

Fundamentals of spreading processes in single and multilayer complex networks

Quantifying the spatial homogeneity of urban road networks via graph neural networks

Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood

The Right Tools for the Job: The Case for Spatial Science Tool-Building

Crash and disengagement data of autonomous vehicles on public roads in California

Methods and Measures for Analyzing Complex Street Networks and Urban Form

Modelling cyclists’ route choice using Strava and OSMnx: A case study of the City of Glasgow

Transportation research interdisciplinary perspectives

Predicting Venue Popularity Using Crowd-Sourced and Passive Sensor Data

Rational Neural Networks for Approximating Jump Discontinuities of Graph Convolution Operator


Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Uncertainty quantification of ocean parameterizations: application to the K-Profile-Parameterization for penetrative convection

Near-Inertial Waves and Turbulence Driven by the Growth of Swell


Open data project for small-scale food growers


Software synthesizer based on the SoundFont 2 specifications

Foley Music: Learning to Generate Music from Videos

Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models

Video Background Music Generation: Dataset, Method and Evaluation


Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa

Rapid epidemic expansion of the SARS-CoV-2 Omicron variant in southern Africa

The Spread of SARS-CoV-2 Variant Omicron with a Doubling Time of 2.0–3.3 Days Can Be Explained by Immune Evasion

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

COVID-19 pandemic dynamics in South Africa and epidemiological characteristics of three variants of concern (Beta, Delta, and Omicron)

medRxiv : the preprint server for health sciences

Cost-effectiveness of public health strategies for COVID-19 epidemic control in South Africa: a microsimulation modelling study

The Lancet. Global health/The lancet. Global health

The spread of SARS-CoV-2 variant Omicron with the doubling time of 2.0–3.3 days can be explained by immune evasion

Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study

Application of optimal control to the dynamics of COVID-19 disease in South Africa

The global response: How cities and provinces around the globe tackled Covid-19 outbreaks in 2021

The Lancet regional health. Southeast Asia

A vaccination model for COVID-19 in Gauteng, South Africa


A community white paper about LSST observing strategy, with quantifications via the the Metric Analysis Framework.

The LSST Dark Energy Science Collaboration (DESC) Science Requirements
  Document

Maximizing Science in the Era of LSST: A Community-Based Study of Needed US Capabilities

Astro2020 Science White Paper - Quasar Microlensing: Revolutionizing our
  Understanding of Quasar Structure and Dynamics

Maximizing Science in the Era of LSST, Stars Study Group Report: Rotation and Magnetic Activity in the Galactic Field Population and in Open Star Clusters


Distributed Evolutionary Algorithms in Python

Calibration of the Global Flood Awareness System (GloFAS) using daily streamflow data

Exploring the standard model EFT in V H production with machine learning

Bad Smells in Software Analytics Papers

Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games

A Multi-Agent System for the Dynamic Emplacement of Electric Vehicle Charging Stations

ZOOpt: a toolbox for derivative-free optimization

Evolution of robust high speed optical-flow-based landing for autonomous MAVs

Parallel model exploration for tumor treatment simulations

Examining variable selection methods for the predictive performance of regression models and the proportion of selected variables and selected random variables

Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito


Geocoding library for Python.

Self-Supervised Bug Detection and Repair

You Tweet What You Speak: A City-Level Dataset of Arabic Dialects

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

The Twitter Social Mobility Index: Measuring Social Distancing Practices With Geolocated Tweets

SALSA: A Scheduling Algorithm for LoRa to LEO Satellites

Read what you need: Controllable Aspect-based Opinion Summarization of Tourist Reviews

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Using Social Media to Promote STEM Education: Matching College Students with Role Models

Remote Collaboration Fuses Fewer Breakthrough Ideas

Extroverts tweet differently from introverts in Weibo

A Comparative Study on Distancing, Mask and Vaccine Adoption Rates from Global Twitter Trends

Convergence Behaviour of Bystanders: An Analysis of 2016 Munich Shooting Twitter Crisis Communication


Python library for science observations from the James Webb Space Telescope

The JWST Early Release Observations

The chemical enrichment in the early Universe as probed by JWST via
  direct metallicity measurements at z~8

Identification of carbon dioxide in an exoplanet atmosphere

Early Release Science of the exoplanet WASP-39b with JWST NIRSpec PRISM

Early Release Science of the Exoplanet WASP-39b with JWST NIRSpec G395H

CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results

Early Release Science of the exoplanet WASP-39b with JWST NIRCam

Panic! at the Disks: First Rest-frame Optical Observations of Galaxy Structure at z > 3 with JWST in the SMACS 0723 Field

JWST NIRCam+NIRSpec: Interstellar medium and stellar populations of
  young galaxies with rising star formation and evolving gas reservoirs

Thermal emission from the Earth-sized exoplanet TRAPPIST-1 b using JWST


YOLOv5  in PyTorch > ONNX > CoreML > TFLite

Path Aggregation Network for Instance Segmentation

A Forest Fire Detection System Based on Ensemble Learning

Comparing YOLOv3, YOLOv4 and YOLOv5 for Autonomous Landing Spot Detection in Faulty UAVs

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection

Score-based diffusion models for accelerated MRI

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

A Wheat Spike Detection Method in UAV Images Based on Improved YOLOv5

Composer: Creative and Controllable Image Synthesis with Composable
  Conditions

Improved YOLOv5 network for real-time multi-scale traffic sign detection

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images


(Legacy project) A modular laboratory experiment management suite, predecessor to qudi-core.

Qudi: a modular python suite for experiment control and data processing

Nanodiamonds carrying silicon-vacancy quantum emitters with almost lifetime-limited linewidths

Optically detected magnetic resonance with an open source platform


A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Prioritized Experience Replay

Generative Adversarial Imitation Learning


Development version of plumed 2

Rational design of ASCT2 inhibitors using an integrated experimental-computational approach

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

Finding multiple reaction pathways of ligand unbinding

Iterative unbiasing of quasi-equilibrium sampling

Zinc binding alters the conformational dynamics and drives the transport cycle of the cation diffusion facilitator YiiP

The journal of general physiology/The Journal of general physiology

A thermodynamic investigation of amyloid precursor protein processing by human γ-secretase

Implementing dimer metadynamics using gromacs

Data-driven path collective variables


Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

TensorFlow: A system for large-scale machine learning

Deep Learning in Bioinformatics

Gradient Sparsification for Communication-Efficient Distributed Optimization

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

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe


Language-agnostic HTTP API Testing Tool

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

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

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Testing RESTful APIs: A Survey

Top-Down Model-Driven Engineering of Web Services from Extended OpenAPI Models

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

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

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

Leveraging Large Language Models to Improve REST API Testing

Adaptive REST API Testing with Reinforcement Learning


Collect and disseminate information on fee-based Open Access publishing

A study of institutional spending on open access publication fees in Germany

Article processing charges: Mirroring the citation impact or legacy of the subscription-based model?

Open Science Support as a Portfolio of Services and Projects: From Awareness to Engagement

Datasets on fee-based Open Access publishing across German Institutions

An Austrian proposal for the Classification of Open Access Tuples (COAT) – Distinguish different Open Access types beyond colors

Zenodo (CERN European Organization for Nuclear Research)

Techniques for Electronic Resource Management: TERMS and the Transition to Open


Hackable and optimized Transformers building blocks, supporting a composable construction.

Attention Is All You Need

LLaMA: Open and Efficient Foundation Language Models

Longformer: The Long-Document Transformer

Big Bird: Transformers for Longer Sequences

Linformer: Self-Attention with Linear Complexity

Rethinking Attention with Performers

FlashAttention: Fast and Memory-Efficient Exact Attention with
  IO-Awareness

DINOv2: Learning Robust Visual Features without Supervision

On Layer Normalization in the Transformer Architecture

MetaFormer is Actually What You Need for Vision


REMIND - REgional Model of INvestments and Development

Combining ambitious climate policies with efforts to eradicate poverty

Alternative carbon price trajectories can avoid excessive carbon removal

Air quality co-benefits of ratcheting up the NDCs

Deep decarbonisation of buildings energy services through demand and supply transformations in a 1.5°C scenario

Long-term economic benefits of stabilizing warming without overshoot – the ENGAGE model intercomparison

The Resource Demand of Terawatt-Scale Perovskite Tandem Photovoltaics

Bidirectional coupling of a long-term integrated assessment model REMIND v3.0.0 with an hourly power sector model DIETER v1.0.2


CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security

Large Language Models for Code: Security Hardening and Adversarial Testing

Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques

CodePlan: Repository-level Coding using LLMs and Planning

Wasmati: An efficient static vulnerability scanner for WebAssembly

Transformer-based Vulnerability Detection in Code at EditTime:
  Zero-shot, Few-shot, or Fine-tuning?

Stubbifier: Debloating Dynamic Server-Side JavaScript Applications

Beware of the Unexpected: Bimodal Taint Analysis

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning
  Attacks

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

Towards Fully Declarative Program Analysis via Source Code
  Transformation


Metadata database for ENCODE project

Principles of metadata organization at the ENCODE data coordination center

Database : the journal of biological databases and curation

Ontology application and use at the ENCODE DCC

SnoVault and encodeD: A novel object-based storage system and applications to ENCODE metadata

Prevention of data duplication for high throughput sequencing repositories

Long Non-Coding RNA Regulation of Epigenetics in Vascular Cells

Data navigation on the ENCODE portal


NEURON Simulator

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


RAJA Performance Portability Layer (C++)

The deal.II finite element library: Design, features, and insights

Domain-Specific Multi-Level IR Rewriting for GPU

Efficient exascale discretizations: High-order finite element methods

The international journal of high performance computing applications

Grid: OneCode and FourAPIs

Modeling of advanced accelerator concepts

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to
  Directive-based Offloading

Resiliency in numerical algorithm design for extreme scale simulations

A Theoretical Model for Global Optimization of Parallel Algorithms

Portability: A Necessary Approach for Future Scientific Software

Designing an Interactive, Notebook-Embedded, Tree Visualization to
  Support Exploratory Performance Analysis


Savoury implementation of the QUIC transport protocol and HTTP/3

An Early Benchmark of Quality of Experience Between HTTP/2 and HTTP/3 using Lighthouse

PROGNOSIS: Closed-Box Analysis of Network Protocol Implementations

SIGCOMM '21: PROCEEDINGS OF THE 2021 ACM SIGCOMM 2021 CONFERENCE

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

A QUIC(K) Way Through Your Firewall?

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

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

Proceedings of the ACM on programming languages

Revisiting WiFi offloading in the wild for V2I applications

MCQUIC: Multicast and unicast in a single transport protocol


⚖ The CNCF Technical Oversight Committee (TOC) is the technical governing body of the CNCF Foundation.

A configurable method for benchmarking scalability of cloud-native applications

Cloud Native Privacy Engineering through DevPrivOps

Measuring the Business Value of Infrastructure Migration to the Cloud

Palgrave studies in digital business & enabling technologies

Dynamics of Research into Modeling the Power Consumption of Virtual Entities Used in the Telco Cloud

K-ONE Playground: Reconfigurable Clusters for a Cloud-Native Testbed


Large Language Model Text Generation Inference

QLoRA: Efficient Finetuning of Quantized LLMs

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

A Watermark for Large Language Models

SpecInfer: Accelerating Generative Large Language Model Serving with
  Speculative Inference and Token Tree Verification

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

Understanding In-Context Learning in Transformers and LLMs by Learning
  to Learn Discrete Functions

Large Language Models: A Survey


A vision library for genicam based cameras

Real-time, low-latency closed-loop feedback using markerless posture tracking

ELT-scale adaptive optics real-time control with the Intel Xeon Phi Many Integrated Core Architecture

Monthly Notices of the Royal Astronomical Society

pyobs - An Observatory Control System for Robotic Telescopes


an open directory of mobility feeds and operators — powers both Transitland v1 and v2


Apache Commons IO

Deep API Learning

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

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

The Used, the Bloated, and the Vulnerable: Reducing the Attack Surface of an Industrial Application

Potentian Health Risk and income assessment of Scavengers at selected domestic waste dumping sites in Kelantan

Journal of software engineering research and development

Mutation Testing in Evolving Systems: Studying the relevance of mutants
  to code evolution

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

How well does LLM generate security tests?


Main repository for QMCPACK, an open-source production level many-body ab initio Quantum Monte Carlo code for computing the electronic structure of atoms, molecules, and solids with full performance portable GPU support

QMCPACK: an open source ab initio quantum Monte Carlo package for the electronic structure of atoms, molecules and solids

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

QMCPACK: Advances in the development, efficiency, and application of auxiliary field and real-space variational and diffusion quantum Monte Carlo.

Accelerating Auxiliary-Field Quantum Monte Carlo Simulations of Solids with Graphical Processing Units

Journal of chemical theory and computation


Automated Machine Learning with scikit-learn

Efficient and Robust Automated Machine Learning

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

Ten quick tips for machine learning in computational biology

Benchmark and Survey of Automated Machine Learning Frameworks

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Machine-learning-based diagnostics of EEG pathology

Well-tuned Simple Nets Excel on Tabular Datasets

Automated Machine Learning: State-of-The-Art and Open Challenges

AutoML to Date and Beyond: Challenges and Opportunities

Benchmarking Automatic Machine Learning Frameworks


Redis adapted to use Persistent Memory

Basic Performance Measurements of the Intel Optane DC Persistent Memory
  Module

Vilamb: Low Overhead Asynchronous Redundancy for Direct Access NVM

Tvarak: Software-managed hardware offload for DAX NVM storage redundancy.

WITCHER : Detecting Crash Consistency Bugs in Non-volatile Memory
  Programs


A library that provides an embeddable, persistent key-value store for fast storage.

Optuna: A Next-generation Hyperparameter Optimization Framework

Interleaved Sequence RNNs for Fraud Detection

Lethe: A Tunable Delete-Aware LSM Engine

Enabling Efficient Updates in KV Storage via Hashing: Design and Performance Evaluation

Constructing and Analyzing the LSM Compaction Design Space

Near-Memory Address Translation

Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

BRAVO -- Biased Locking for Reader-Writer Locks

High-Dimensional Bayesian Optimization with Multi-Task Learning for RocksDB

PROCEEDINGS OF THE 1ST WORKSHOP ON MACHINE LEARNING AND SYSTEMS (EUROMLSYS'21)

Toward a better understanding and evaluation of tree structures on flash SSDs


OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

Non-local Neural Networks

Learning Spatiotemporal Features with 3D Convolutional Networks

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

A Closer Look at Spatiotemporal Convolutions for Action Recognition

SlowFast Networks for Video Recognition

TSM: Temporal Shift Module for Efficient Video Understanding

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

Video Swin Transformer

Temporal Action Detection with Structured Segment Networks


Open5GS is a C-language Open Source implementation for 5G Core and EPC, i.e. the core network of LTE/NR network (Release-17)

5G Campus Networks: A First Measurement Study

Tutorial on communication between access networks and the 5G core

Run-Time Adaptive In-Kernel BPF/XDP Solution for 5G UPF

Video on Demand Streaming Using RL-based Edge Caching in 5G Networks


Survival analysis in Python

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Explainable AI for Trees: From Local Explanations to Global Understanding

RNA polymerase III limits longevity downstream of TORC1

Protoplanetary Disks in rho Ophiuchus as Seen from ALMA

Contextual Explanation Networks

A universal transcriptomic signature of age reveals the temporal scaling of Caenorhabditis elegans aging trajectories

Galaxies Probing Galaxies in PRIMUS. II. The Coherence Scale of the Cool Circumgalactic Medium

Identification of Therapeutic Targets and Prognostic Biomarkers Among Integrin Subunits in the Skin Cutaneous Melanoma Microenvironment

Distribution-based measures of tumor heterogeneity are sensitive to mutation calling and lack strong clinical predictive power


Apache Druid: a high performance real-time analytics database.

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5

HyperLogLog: Exponentially Bad in Adversarial Settings

Using Distributed Representation of Code for Bug Detection.

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java

Ingestion, Indexing and Retrieval of High-Velocity Multidimensional
  Sensor Data on a Single Node

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

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


OpenMMLab Text Detection, Recognition and Understanding Toolbox

Shape Robust Text Detection with Progressive Scale Expansion Network

Real-time Scene Text Detection with Differentiable Binarization

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

Show, Attend and Read: A Simple and Strong Baseline for Irregular Text Recognition

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

NRTR: A No-Recurrence Sequence-to-Sequence Model For Scene Text Recognition

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI


Pretrained models for TensorFlow.js

PromptChainer: Chaining Large Language Model Prompts through Visual Programming

The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions

Proceedings of the ACM on human-computer interaction

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep
  Reinforcement Learning Approaches

The Effect of Moderation on Online Mental Health Conversations

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

Let me join you! Real-time F-formation recognition by a socially aware robot

Pose Estimation for Facilitating Movement Learning from Online Videos

Proceedings of the International Conference on Advanced Visual Interfaces

Clood CBR: Towards Microservices Oriented Case-Based Reasoning

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

Adaptive Accessible AR/VR Systems


Industry-strength Computer Vision workflows with Keras

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

High-Resolution Image Synthesis with Latent Diffusion Models

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty


Official GitHub repository for netCDF-C libraries and utilities.

WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model

Journal of advances in modeling earth systems

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea

RGB image-based data analysis via discrete Morse theory and persistent homology


Climate Machine: an Earth System Model that automatically learns from data

Coupled online learning as a way to tackle instabilities and biases in neural network parameterizations: general algorithms and Lorenz 96 case study (v1.0)

Learned discretizations for passive scalar advection in a two-dimensional turbulent flow

Domain-Specific Multi-Level IR Rewriting for GPU

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

Large-eddy simulations with ClimateMachine v0.2.0: a new open-source code for atmospheric simulations on GPUs and CPUs

Applications of large deviation theory in geophysical fluid dynamics and climate science

La Rivista del nuovo cimento della Società italiana di fisica


Metasploit Framework

RNNIDS: Enhancing network intrusion detection systems through deep learning

On Generating Network Traffic Datasets with Synthetic Attacks for Intrusion Detection

Easy to Fool? Testing the Anti-evasion Capabilities of PDF Malware Scanners.

PatrIoT: practical and agile threat research for IoT

International journal of information security

Recurrent Neural Networks for Enhancement of Signature-based Network Intrusion Detection Systems.

Well Begun is Half Done: An Empirical Study of Exploitability & Impact of Base-Image Vulnerabilities

Working mechanism of Eternalblue and its application in ransomworm

Real-Time Triggering of Android Memory Dumps for Stealthy Attack Investigation

Responding to Targeted Stealthy Attacks on Android Using Timely-Captured Memory Dumps

Reversing Kia Motors Head Unit to discover and exploit software vulnerabilities

Journal of computer virology and hacking techniques


E-mails, subdomains and names Harvester - OSINT

A survey exploring open source Intelligence for smarter password cracking

Forensic science international. Digital investigation

Survey and Taxonomy of Adversarial Reconnaissance Techniques

Investigating the Ecosystem of Offensive Information Security Tools


Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

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

An Empirical Study of Challenges in Converting Deep Learning Models

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis

Edge Devices Inference Performance Comparison

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition


OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

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

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

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

Neural Sign Language Translation based on Human Keypoint Estimation

Whole-Body Human Pose Estimation in the Wild

A Survey of Deep Learning for Scientific Discovery

LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration

A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning


Global Superstructure/Workflow supporting the Global Forecast System (GFS)


Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development.  See the Developer Process Wiki for details.

Hamiltonian Monte Carlo for Hierarchical Models

Automatic Variational Inference in Stan

Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users

TOWARD CHARACTERIZATION OF THE TYPE IIP SUPERNOVA PROGENITOR POPULATION: A STATISTICAL SAMPLE OF LIGHT CURVES FROM Pan-STARRS1

Hierarchical structure guides rapid linguistic predictions during naturalistic listening

On weakly informative prior distributions for the heterogeneity parameter in Bayesian random‐effects meta‐analysis

Beyond Brownian motion and the Ornstein-Uhlenbeck process: Stochastic diffusion models for the evolution of quantitative characters

Compositional Proteomics: Effects of Spatial Constraints on Protein Quantification Utilizing Isobaric Tags

Reconstructing the course of the COVID-19 epidemic over 2020 for US states and counties: Results of a Bayesian evidence synthesis model

medRxiv : the preprint server for health sciences

Bayesian workflow for disease transmission modeling in Stan


Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.com/pymc-devs/pytensor

Theano: A Python framework for fast computation of mathematical expressions

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

On Deep Learning-Based Channel Decoding

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Abstractive Document Summarization with a Graph-Based Attentional Neural Model

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

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Modeling Multi-turn Conversation with Deep Utterance Aggregation

Multiscale sequential convolutional neural networks for simultaneous detection of fovea and optic disc

Biomedical signal processing and control

Deep learning in electron microscopy

Machine learning: science and technology

Towards a Neural Network Approach to Abstractive Multi-Document Summarization


LGPL Pure Python OPC-UA Client and Server

Timely Survey of Time-Sensitive Networking: Past and Future Directions

Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments

A Proposal to Improve Interoperability in the Industry 4.0 Based on the Open Platform Communications Unified Architecture Standard

Interoperability for a Dynamic Assembly System

Vulnerabilities of the Open Platform Communication Unified Architecture Protocol in Industrial Internet of Things Operation

An Aggregated Data Integration Approach to the Web and Cloud Platforms through a Modular REST-Based OPC UA Middleware

Security Analysis of Vendor Implementations of the OPC UA Protocol for Industrial Control Systems

Interoperability between OPC UA and oneM2M

Journal of internet services and applications

Universal identification and control of industrial manufacturing equipment as a service

Proceedings of the Estonian Academy of Sciences


Hyperledger Cacti is a new approach to the blockchain interoperability problem

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Verifiable Observation of Permissioned Ledgers

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

A Pub-Sub Architecture to Promote Blockchain Interoperability

Decentralized Cross-Network Identity Management for Blockchain Interoperation


gpt4all: run open-source LLMs anywhere

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Aligning Large Language Models with Human: A Survey

Black Box Adversarial Prompting for Foundation Models

LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale
  Instructions

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill
  Sets

EduChat: A Large-Scale Language Model-based Chatbot System for
  Intelligent Education

PolyLM: An Open Source Polyglot Large Language Model

OLMo: Accelerating the Science of Language Models


Open source Structure-from-Motion pipeline

OpenVSLAM

World-Consistent Video-to-Video Synthesis

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

Learning Multi-Object Tracking and Segmentation from Automatic Annotations

UAS-Based Plant Phenotyping for Research and Breeding Applications

Inertial-Based Scale Estimation for Structure from Motion on Mobile Devices

Prior-Guided Multi-View 3D Head Reconstruction

LineNet: a Zoomable CNN for Crowdsourced High Definition Maps Modeling in Urban Environments.

Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained


Collection of Verification Tasks (MOVED, please follow the link)

CBMC: The C Bounded Model Checker

A Unifying View on SMT-Based Software Verification

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Tools and Algorithms for Construction and Analysis of Systems

Advances in Automatic Software Verification: SV-COMP 2020

TOOLympics 2019: An Overview of Competitions in Formal Methods

Incremental bounded model checking for embedded software

Quasi-Optimal Partial Order Reduction

LEGION: Best-First Concolic Testing

International Conference on Automated Software Engineering

MetaVal: Witness Validation via Verification

Second Competition on Software Testing: Test-Comp 2020


Dockerfile linter, validate inline bash, written in Haskell

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

International Conference on Software Engineering

Characterizing the Occurrence of Dockerfile Smells in Open-Source Software: An Empirical Study

Shipwright: A Human-in-the-Loop System for Dockerfile Repair

Revisiting Dockerfiles in Open Source Software Over Time

A Dataset of Dockerfiles

Fixing Dockerfile Smells: An Empirical Study

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution.

Burner: Recipe Automatic Generation for HPC Container Based on Domain Knowledge Graph

Wireless communications and mobile computing

Parfum: Detection and Automatic Repair of Dockerfile Smells


Node.js JavaScript runtime ✨✨

A Smart Contract-Based P2P Energy Trading System with Dynamic Pricing on Ethereum Blockchain

Understanding Review Expertise of Developers: A Reviewer Recommendation Approach Based on Latent Dirichlet Allocation

SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code.

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

I Depended on You and You Broke Me: An Empirical Study of Manifesting Breaking Changes in Client Packages

Automatic Identification of Similar Pull-Requests in GitHub's Repositories Using Machine Learning

Constructing a bilingual website with validated database for Herb and Western medicine interactions using Ginseng, Ginkgo and Dong Quai as examples

BMC complementary and alternative medicine

Investigating and recommending co-changed entities for JavaScript programs

Human-Like Summaries from Heterogeneous and Time-Windowed Software
  Development Artefacts

An Empirical Study on the Use of Static Analysis Tools in Open Source
  Embedded Software


Parameterize, execute, and analyze notebooks

ColabFold - Making protein folding accessible to all

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks

Code Duplication and Reuse in Jupyter Notebooks

Integrated Visualization Editing via Parameterized Declarative Templates

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Ten Simple Rules for Reproducible Research in Jupyter Notebooks.

Eliciting Best Practices for Collaboration with Computational Notebooks

Proceedings of the ACM on human-computer interaction


COLMAP - Structure-from-Motion and Multi-View Stereo

Structure-from-Motion Revisited

VideoDex: Learning Dexterity from Internet Videos

Multi view stereo with semantic priors

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

Ātea Presence—Enabling Virtual Storytelling, Presence, and Tele-Co-Presence in an Indigenous Setting

Event-Based Dense Reconstruction Pipeline

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

3D Reconstruction with Spherical Cameras

Eiffel Tower: A deep-sea underwater dataset for long-term visual localization

The international journal of robotics research

A MATCH-MOVING METHOD COMBINING AI AND SFM ALGORITHMS IN HISTORICAL FILM FOOTAGE


Automated Machine Learning on Kubernetes

A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Katib: A Distributed General AutoML Platform on Kubernetes

USENIX Conference on Operational Machine Learning

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

A Scalable and Cloud-Native Hyperparameter Tuning System

SQLFlow: A Bridge between SQL and Machine Learning

Mix and Match: An Optimistic Tree-Search Approach for Learning Models from Mixture Distributions

CLAIMED, a visual and scalable component library for Trusted AI


Multi-platform, free open source software for visualization and image computing.

The Open Anatomy Browser: A Collaborative Web-Based Viewer for Interoperable Anatomy Atlases

CroSSED sequence, a new tool for 3D processing in geosciences using the free software 3DSlicer

Coronary Centerline Extraction from CCTA Using 3D-UNet

Open-source Software Sustainability Models: Initial White Paper From the Informatics Technology for Cancer Research Sustainability and Industry Partnership Working Group

Towards More Structure: Comparing TNM Staging Completeness and Processing Time of Text-Based Reports versus Fully Segmented and Annotated PET/CT Data of Non-Small-Cell Lung Cancer

Contrast media & molecular imaging/Contrast media and molecular imaging

Automated lung cancer assessment on 18F-PET/CT using Retina U-Net and anatomical region segmentation

Open Source Software Sustainability Models: Initial White Paper from the
  Informatics Technology for Cancer Research Sustainability and Industry
  Partnership Work Group


FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.

Advances and Open Problems in Federated Learning

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

FedML: A Research Library and Benchmark for Federated Machine Learning

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Central Server Free Federated Learning over Single-sided Trust Social Networks

Federated Learning Meets Natural Language Processing: A Survey

FedEval: A Holistic Evaluation Framework for Federated Learning

FedAudio: A Federated Learning Benchmark for Audio Tasks

DID-eFed: Facilitating Federated Learning as a Service with Decentralized Identities

PROCEEDINGS OF EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING (EASE 2021)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving
  Federated Learning System


The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

MetaTool Benchmark for Large Language Models: Deciding Whether to Use
  Tools and Which to Use

An In-depth Survey of Large Language Model-based Artificial Intelligence
  Agents

Generative Artificial Intelligence for Software Engineering -- A
  Research Agenda

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


oneAPI Threading Building Blocks (oneTBB)

Evaluating persistent memory range indexes

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

IEEE transactions on parallel and distributed systems

On the Impact of Memory Allocation on High-Performance Query Processing

International Workshop on Data Management on New Hardware

Bringing heterogeneity to the CMS software framework

Data Oblivious Algorithms for Multicores

Development of the CMS detector for the CERN LHC Run 3

Nonparametric Continuous Sensor Registration

Extension of the INFN Tier-1 on a HPC system

Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs

Pandemic-scale phylogenetics

bioRxiv : the preprint server for biology


WildFly Application Server

On the Use of Mutation in Injecting Test Order-Dependency

Estimating Predictive Uncertainty Under Program Data Distribution Shift

Energy-bounded Learning for Robust Models of Code


Marlin is an optimized firmware for RepRap 3D printers based on the Arduino platform. Many commercial 3D printers come with Marlin installed. Check with your vendor if you need source code for your specific machine.

Evolving software system families in space and time with feature revisions

Step-by-step assembly and testing of a low-cost bioprinting solution for research and educational purposes

CubeFactory2 – an Off-Grid and Circular 3D-Printing Mini-Factory

A low-cost open-source automated shot peen forming system


Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Analyzing Leakage of Personally Identifiable Information in Language Models

Anonymisation Models for Text Data: State of the art, Challenges and Future Directions

Meeting of the Association for Computational Linguistics

The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization

Hero: On the Chaos When PATH Meets Modules

Text Sanitization Beyond Specific Domains: Zero-Shot Redaction &
  Substitution with Large Language Models


Documentation for the General Bikeshare Feed Specification, a standardized data feed for shared mobility system availability.     Maintained by MobilityData

Bike sharing usage prediction with deep learning: a survey

Micromobility Trip Origin and Destination Inference Using General Bikeshare Feed Specification Data

Real-Time Forecasting of Dockless Scooter-Sharing Demand: A Spatio-Temporal Multi-Graph Transformer Approach

Abstracting mobility flows from bike-sharing systems

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing

On the Data Fight Between Cities and Mobility Providers.


RISC-V Open Source Supervisor Binary Interface

Verifying RISC-V Physical Memory Protection

Towards a Formally Verified Security Monitor for VM-based Confidential Computing


A Python library for quantum programming using Quil.

Open Quantum Assembly Language

Unsupervised Machine Learning on a Hybrid Quantum Computer

Simulating quantum many-body dynamics on a current digital quantum computer

Overview and Comparison of Gate Level Quantum Software Platforms

Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights

Challenges and Opportunities of Near-Term Quantum Computing Systems

Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

Open source software in quantum computing

OpenQASM 3: A broader and deeper quantum assembly language

Projection-based runtime assertions for testing and debugging Quantum programs

Proceedings of the ACM on programming languages


WiredTiger's source tree

Lethe: A Tunable Delete-Aware LSM Engine

Constructing and Analyzing the LSM Compaction Design Space

Toward a better understanding and evaluation of tree structures on flash SSDs

Learning Key-Value Store Design

DINAMITE: A modern approach to memory performance profiling

Is Parallel Programming Hard, And, If So, What Can You Do About It?
  (Release v2023.06.11a)


A unified framework for machine learning with time series

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

Fast and Accurate Time Series Classification with WEASEL

International Conference on Information and Knowledge Management

sktime: A Unified Interface for Machine Learning with Time Series

HIVE-COTE 2.0: a new meta ensemble for time series classification

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

Scalable Dictionary Classifiers for Time Series Classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier


Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms

The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework

Predicting resource consumption of Kubernetes container systems using resource models

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

LWS: A Framework for Log-based Workload Simulation in Session-based SUT


UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Dimensionality reduction for visualizing single-cell data using UMAP

The single-cell transcriptional landscape of mammalian organogenesis

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

Decoding myofibroblast origins in human kidney fibrosis

Baricitinib treatment resolves lower-airway macrophage inflammation and neutrophil recruitment in SARS-CoV-2-infected rhesus macaques

Understanding How Dimension Reduction Tools Work: An Empirical Approach to Deciphering t-SNE, UMAP, TriMAP, and PaCMAP for Data Visualization

Parametric UMAP Embeddings for Representation and Semisupervised Learning

Single-cell analysis of germinal-center B cells informs on lymphoma cell of origin and outcome

The Journal of experimental medicine/The journal of experimental medicine

Major alterations in the mononuclear phagocyte landscape associated with COVID-19 severity

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


CUDA Templates for Linear Algebra Subroutines

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Modeling Deep Learning Accelerator Enabled GPUs

Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity

HASCO: Towards Agile HArdware and Software CO-design for Tensor Computation

Dynamic Group Transformer: A General Vision Transformer Backbone with Dynamic Group Attention

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration

Automatic Kernel Generation for Volta Tensor Cores

MegaBlocks: Efficient Sparse Training with Mixture-of-Experts

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

Arithmetic-Intensity-Guided Fault Tolerance for Neural Network Inference on GPUs


OSS-Fuzz - continuous fuzzing for open source software.

Smart Greybox Fuzzing

SAVIOR: Towards Bug-Driven Hybrid Testing

oo7: Low-Overhead Defense Against Spectre Attacks via Program Analysis

SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers

WEIZZ: automatic grey-box fuzzing for structured binary formats

Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities

V-Fuzz: Vulnerability-Oriented Evolutionary Fuzzing

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

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

HotFuzz: Discovering Algorithmic Denial-of-Service Vulnerabilities Through Guided Micro-Fuzzing

Proceedings 2020 Network and Distributed System Security Symposium


MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

MNN: A Universal and Efficient Inference Engine

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

EdgeRec: Recommender System on Edge in Mobile Taobao

Satellite IoT Edge Intelligent Computing: A Research on Architecture

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition

EasyQuant: Post-training Quantization via Scale Optimization


Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.

"Do this! Do that!, And nothing will happen" Do specifications lead to
  securely stored passwords?

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

ACM transactions on software engineering and methodology

Zur Benutzbarkeit und Verwendung von API-Dokumentationen

Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte.

CryptMPI: A Fast Encrypted MPI Library

cryptolib: Comparing and selecting cryptography libraries


:warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.

Modeling food supply chain traceability based on blockchain technology

Dynamic Role Binding in Blockchain-Based Collaborative Business Processes

A traceability and auditing framework for electronic equipment reverse logistics based on blockchain: the case of mobile phones

A blockchain-based forensic model for financial crime investigation: the embezzlement scenario

Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations

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

Enforceable Data Sharing Agreements Using Smart Contracts.

The Operational Cost of Ethereum Airdrops

DEPOSafe: Demystifying the Fake Deposit Vulnerability in Ethereum Smart Contracts

Truffle tests for free -- Replaying Ethereum smart contracts for
  transparency


The official repository for the gem5 computer-system architecture simulator.

DiffTune: Optimizing CPU Simulator Parameters with Learned Differentiable Surrogates

Fast and Accurate Edge Computing Energy Modeling and DVFS Implementation in GEM5 Using System Call Emulation Mode

Journal of signal processing systems for signal, image, and video technology

Vitamin-V: Virtual Environment and Tool-boxing for Trustworthy
  Development of RISC-V based Cloud Services

Validation, Verification, and Testing (VVT) of future RISC-V powered cloud infrastructures: the Vitamin-V Horizon Europe Project perspective


ROS 3D Robot Visualizer

Projecting Robot Navigation Paths: Hardware and Software for Projected AR

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

A Method of Constructing Robotics Service Platform for Assisting Handicapped or Elderly People

Extracting Contact and Motion from Manipulation Videos


DSL and compiler framework for automated finite-differences and stencil computation

Devito (v3.1.0): an embedded domain-specific language for finite differences and geophysical exploration

Devito: Towards a generic Finite Difference DSL using Symbolic Python

High-level python abstractions for optimal checkpointing in inversion problems

Towards automatically building starting models for full-waveform inversion using global optimization methods: A PSO approach via DEAP + Devito

Scaling through abstractions - high-performance vectorial wave simulations for seismic inversion with Devito.


Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

Deep Residual Learning for Image Recognition

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Character Region Awareness for Text Detection

Real-time Scene Text Detection with Differentiable Binarization

Chameleon: Plug-and-Play Compositional Reasoning with Large Language
  Models

OCR-free Document Understanding Transformer

LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

LLaVAR: Enhanced Visual Instruction Tuning for Text-Rich Image
  Understanding

Unified Pretraining Framework for Document Understanding

Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering


Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Membership Leakage in Label-Only Exposures

Optimization problems for machine learning: A survey

European journal of operational research

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Adversarial Robustness Toolbox v1.0.0

Trustworthy AI: From Principles to Practices

Privacy-Preserving Machine Learning: Methods, Challenges and Directions

Reveal of Vision Transformers Robustness against Adversarial Attacks

Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks

Adversarial Examples - A Complete Characterisation of the Phenomenon


A framework for implementing federated learning

Federated Learning for Mobile Keyboard Prediction

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

Can You Really Backdoor Federated Learning?

Generative Models for Effective ML on Private, Decentralized Datasets

Trustworthy AI: A Computational Perspective

Federated Heavy Hitters Discovery with Differential Privacy

When the Curious Abandon Honesty: Federated Learning Is Not Private

Deep learning in electron microscopy

Machine learning: science and technology

FedLab: A Flexible Federated Learning Framework

Pretraining Federated Text Models for Next Word Prediction


A toolkit for developing and comparing reinforcement learning algorithms.

OpenAI Gym

Parameter Space Noise for Exploration

Multi-Goal Reinforcement Learning: Challenging Robotics Environments and Request for Research

State Representation Learning for Control: An Overview

Neural networks : the official journal of the International Neural Network Society

Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation

PettingZoo: Gym for Multi-Agent Reinforcement Learning

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

IEEE transactions on neural networks and learning systems

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Learning Reward Functions by Integrating Human Demonstrations and Preferences


Bitcoin Core integration/staging tree

Majority is not Enough: Bitcoin Mining is Vulnerable

Bitcoin-NG: A Scalable Blockchain Protocol

Deanonymisation of clients in Bitcoin P2P network

The Miner's Dilemma

Security Services Using Blockchains: A State of the Art Survey

Decentralization in Bitcoin and Ethereum Networks

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

On Subversive Miner Strategies and Block Withholding Attack in Bitcoin Digital Currency

Scaling Nakamoto Consensus to Thousands of Transactions per Second.


Python SQL Parser and Transpiler

EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health
  Records with Chest X-ray Images

DBCopilot: Scaling Natural Language Querying to Massive Databases