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

YOLOv4: Optimal Speed and Accuracy of Object Detection

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

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

You Only Look One-level Feature

PP-YOLOE: An evolved version of YOLO

Focal Modulation Networks

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

YOLOv6 v3.0: A Full-Scale Reloading

DETRs Beat YOLOs on Real-time Object Detection


Open-Source Neural Machine Translation in Tensorflow

OpenNMT: Open-Source Toolkit for Neural Machine Translation

Six Challenges for Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Nematus: a Toolkit for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

Revisiting Low-Resource Neural Machine Translation: A Case Study

The IIT Bombay English-Hindi Parallel Corpus

A Challenge Set Approach to Evaluating Machine Translation

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets


Hybrid Quantum-Classical Machine Learning in TensorFlow

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Differentiable Quantum Architecture Search

Entangling Quantum Generative Adversarial Networks

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

QAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithms

QuOp_MPI: A framework for parallel simulation of quantum variational algorithms


an open-source implementation of sequence-to-sequence based speech processing engine

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

Improving Transformer-based Speech Recognition Using Unsupervised Pre-training

Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

A Further Study of Unsupervised Pre-training for Transformer Based
  Speech Recognition

DiDiSpeech: A Large Scale Mandarin Speech Corpus

Automatic Speech Recognition Using Limited Vocabulary: A Survey


Bitextor generates translation memories from multilingual websites

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Meeting of the Association for Computational Linguistics

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

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

NTT Neural Machine Translation Systems at WAT 2019

A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning

Machine Translation for English–Inuktitut with Segmentation, Data Acquisition and Pre-Training

Empirical Methods in Natural Language Processing

JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus

Targeted Poisoning Attacks on Black-Box Neural Machine Translation.

Unsupervised Parallel Corpus Mining on Web Data


Supernova Analysis package

The Pantheon+ Analysis: The Full Dataset and Light-Curve Release

The Dark Energy Survey supernova programme: modelling selection efficiency and observed core-collapse supernova contamination

Monthly Notices of the Royal Astronomical Society

SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

The Young Supernova Experiment Data Release 1 (YSE DR1): Light Curves and Photometric Classification of 1975 Supernovae

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Fink: early supernovae Ia classification using active learning

Using Host Galaxy Photometric Redshifts to Improve Cosmological Constraints with Type Ia Supernovae in the LSST Era

Enabling the discovery of fast transients

First Impressions: Early-time Classification of Supernovae Using Host-galaxy Information and Shallow Learning

Type Ia supernova observations combining data from the Euclid mission and the Vera C. Rubin Observatory

Monthly notices of the Royal Astronomical Society


Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Application of Recursive Estimation to Heat Tracing for Groundwater/Surface‐Water Exchange

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices.


A tool to collect data for OpenAQ platform.


Resource Watch features hundreds of data sets all in one place on the state of the planet’s resources and citizens. Users can visualize challenges facing people and the planet, from climate change to poverty, water risk to state instability, air pollution to human migration, and more.


MEV-Boost allows Ethereum validators to source high-MEV blocks from a competitive builder marketplace

Ethereum's Proposer-Builder Separation: Promises and Realities

Price of MEV: Towards a Game Theoretical Approach to MEV

Ethereum Proof-of-Stake Consensus Layer: Participation and
  Decentralization

Time is Money: Strategic Timing Games in Proof-of-Stake Protocols


Clspv is a compiler for OpenCL C to Vulkan compute shaders

Fancier: A Unified Framework for Java, C, and OpenCL Integration

Development in Vulkan: a domain-specific approach

Труды Института системного программирования РАН


Code for internal lab sharing - polishing has started but is by no means complete

Layer-Specific Physiological Features and Interlaminar Interactions in the Primary Visual Cortex of the Mouse

Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway

A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

Fos ensembles encode and shape stable spatial maps in the hippocampus

Brain-wide interactions during hippocampal sharp wave ripples

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

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Hippocampal place codes are gated by behavioral engagement

Subiculum as a generator of sharp wave-ripples in the rodent hippocampus

De novo inter-regional coactivations of preconfigured local ensembles support memory

Inhibition allocates spikes during hippocampal ripples


Aave Protocol V2

The Blockchain Oracle Problem in Decentralized Finance—A Multivocal Approach

Formal Analysis of Lending Pools in Decentralized Finance

DeFi Risk Transfer: Towards A Fully Decentralized Insurance Protocol


Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:

Deep Reinforcement Learning: An Overview

A Survey of Deep Reinforcement Learning in Video Games

Born to learn: The inspiration, progress, and future of evolved plastic artificial neural networks

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

Deep Reinforcement Learning from Policy-Dependent Human Feedback


R Interface to the jQuery Plug-in DataTables

FibroDB: Expression Analysis of Protein-Coding and Long Non-Coding RNA Genes in Fibrosis

Emergence of distinct syntenic density regimes is associated with early metazoan genomic transitions

ceRNAshiny: An Interactive R/Shiny App for Identification and Analysis of ceRNA Regulation

DoxoDB: A Database for the Expression Analysis of Doxorubicin-Induced lncRNA Genes

T2DB: A Web Database for Long Non-Coding RNA Genes in Type II Diabetes


Main Portal page for the Jackson project

Initialize once, start fast: application initialization at build time

Proceedings of the ACM on programming languages

Mining API Usage Scenarios from Stack Overflow

Understanding How and Why Developers Seek and Analyze API-Related Opinions

TILT: A GDPR-Aligned Transparency Information Language and Toolkit for Practical Privacy Engineering

Stepwise API usage assistance using n-gram language models

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

Automatic API Usage Scenario Documentation from Technical Q&A Sites

A Survey of JSON-compatible Binary Serialization Specifications

Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies

Enhancing CryptoGuards Deployability for Continuous Software Security
  Scanning


The FINE python package provides a framework for modeling, optimizing and assessing energy systems

Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

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

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

The Pareto-optimal temporal aggregation of energy system models

Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects

The role of hydrogen in German residential buildings

Low-carbon lithium extraction makes deep geothermal plants cost-competitive in future energy systems

A Metadata-Based Ecosystem to Improve the FAIRness of Research Software

Budget-cut: introduction to a budget based cutting-plane algorithm for capacity expansion models


Open source 5G core network base on 3GPP R15

Tutorial on communication between access networks and the 5G core

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks


DCC/UC3 collaboration for a data management planning tool

Data Management Planning: How Requirements and Solutions are Beginning to Converge

Next-Generation Data Management Plans: Global, Machine-Actionable, FAIR

International journal of digital curation

Application Profile for Machine-Actionable Data Management Plans

A Landscape Survey of ActiveDMPs


Machine Learning Toolkit for Kubernetes

Management of Machine Learning Lifecycle Artifacts: A Survey

Towards Data-centric Graph Machine Learning: Review and Outlook

Semi-Automated Methods for BIBFRAME Work Entity Description

Improving the Performance of Deep Learning for Wireless Localization.

Deployment of ML Models using Kubeflow on Different Cloud Providers

SmartChoices: Augmenting Software with Learned Implementations


An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails

An Evaluation of BBR and its variants

BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing

Improvement of RTT Fairness Problem in BBR Congestion Control Algorithm by Gamma Correction

Improvement of BBRv2 Congestion Control Algorithm Based on Flow-aware ECN

Internet Congestion Control Benchmarking


An adaptive mesh, N-body hydro cosmological simulation code

Simulating mixed fuzzy and cold dark matter

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Measurement of the small-scale structure of the intergalactic medium using close quasar pairs

Simulating intergalactic gas for DESI-like small scale Lymanα
  forest observations

Journal of Cosmology and Astroparticle Physics

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing

Kinetic and internal energy transfer in forced compressible turbulence

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Extracting Insights from Astrophysics Simulations


Core engine for the Brave browser for mobile and desktop. For issues https://github.com/brave/brave-browser/issues

Filter List Generation for Underserved Regions

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Tango or Square Dance? How Tightly Should we Integrate Network
  Functionality in Browsers?

Pool-Party: Exploiting Browser Resource Pools as Side-Channels for Web
  Tracking


Image processing in Python

scikit-image: Image processing in Python

Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization

Analyzing microtomography data with Python and the scikit-image library

Advanced structural and chemical imaging

Feasibility of track-based multiple scattering tomography

Attribution-based Explanations that Provide Recourse Cannot be Robust

Iterative static field map estimation for off‐resonance correction in non‐Cartesian susceptibility weighted imaging

DiCOVA-Net: Diagnosing COVID-19 using Acoustics based on Deep Residual Network for the DiCOVA Challenge 2021

From Academia to Software Development: Publication Citations in Source
  Code Comments

Generating Adversarial Examples with an Optimized Quality

Image Translation of Breast Ultrasound to Pseudo Anatomical Display by CycleGAN


Code for U.S. EPA’s Community Multiscale Air Quality Model (CMAQ) which helps in conducting air quality model simulations

On the implications of aerosol liquid water and phase separation for organic aerosol mass

Carolina Digital Repository (University of North Carolina at Chapel Hill)

The Community Multiscale Air Quality (CMAQ) model versions 5.3 and 5.3.1: system updates and evaluation

Semivolatile POA and parameterized total combustion SOA in CMAQv5.2: impacts on source strength and partitioning

Secondary organic aerosol association with cardiorespiratory disease mortality in the United States

Impacts of different characterizations of large-scale background on simulated regional-scale ozone over the continental United States

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

The role of emission reductions and the meteorological situation for air quality improvements during the COVID-19 lockdown period in Central Europe

Ozone affected by a succession of four landfall typhoons in the Yangtze River Delta, China: major processes and health impacts

Improving the representation of HONO chemistry in CMAQ and examining its impact on haze over China

Study on the variation of air pollutant concentration and its formation mechanism during the COVID-19 period in Wuhan

Atmospheric environment (Oxford, England : 1994)


A collection of Google research projects related to Federated Learning and Federated Analytics.

Advances and Open Problems in Federated Learning

Adaptive Federated Optimization

Robust Aggregation for Federated Learning

A Field Guide to Federated Optimization

The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation

Practical and Private (Deep) Learning without Sampling or Shuffling

Federated Reconstruction: Partially Local Federated Learning

The Skellam Mechanism for Differentially Private Federated Learning

Federated Learning via Posterior Averaging: A New Perspective and Practical Algorithms

On Large-Cohort Training for Federated Learning


Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.


Hash function quality and speed tests

Modern Approaches to Exact Diagonalization and Selected Configuration Interaction with the Adaptive Sampling CI Method

Journal of chemical theory and computation

An efficient deterministic perturbation theory for selected configuration interaction methods

Hash Adaptive Bloom Filter

SetSketch: Filling the Gap between MinHash and HyperLogLog

A Dyadic Simulation Approach to Efficient Range-Summability

UltraLogLog: A Practical and More Space-Efficient Alternative to
  HyperLogLog for Approximate Distinct Counting


Creative Commons Attribution Share Alike 4.0 International

XML Canonical resources for Greek Literature

An automatic model and Gold Standard for translation alignment of Ancient Greek

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

BERT in Plutarch's Shadows

The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek

Workshop on Computational Approaches to Historical Language Change

Hippocrates transformed: crafting a Hippocratic discourse of medical semiotics in English, 1850–1930

Humanities and Social Sciences Communications


Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).

BigDL: A Distributed Deep Learning Framework for Big Data

Domain-Specific Multi-Level IR Rewriting for GPU


Koka language compiler and interpreter

Liberating effects with rows and handlers

Proceedings of the 1st International Workshop on Type-Driven Development

Effect handlers in scope

Effect Handlers, Evidently (Extended Version)


An open-source platform for Visual AI.

AI2-THOR: An Interactive 3D Environment for Visual AI

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Multimodality in Meta-Learning: A Comprehensive Survey

What do navigation agents learn about their environment?

Shaping embodied agent behavior with activity-context priors from egocentric video


Versatile framework for multi-party computation

CrypTFlow: Secure TensorFlow Inference

Privacy Preserving Vertical Federated Learning for Tree-based Models

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Secure Evaluation of Quantized Neural Networks

Proceedings on Privacy Enhancing Technologies

On a Generalization of Substitution-Permutation Networks: The HADES Design Strategy

Theory and Application of Cryptographic Techniques

Secure and Efficient Federated Transfer Learning

SIRNN: A Math Library for Secure RNN Inference

MYSTIKO : : Cloud-Mediated, Private, Federated Gradient Descent

Privacy-Preserving Decentralized Exchange Marketplaces

BUNET: Blind Medical Image Segmentation Based on Secure UNET


OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

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

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

3D Object Detection with Pointformer

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

Self-Supervised Pretraining of 3D Features on any Point-Cloud

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

Improving 3D Object Detection with Channel-wise Transformer

Embracing Single Stride 3D Object Detector with Sparse Transformer

Focal Sparse Convolutional Networks for 3D Object Detection


The official Android app for OneBusAway

Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version).


A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Improved Techniques for Training GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

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

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

Compressed Sensing using Generative Models

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Towards Robust Evaluations of Continual Learning


The Python micro framework for building web applications.

Machine learning–based identification of hip arthroplasty designs

DeepStreaks: identifying fast-moving objects in the Zwicky Transient Facility data with deep learning

Monthly Notices of the Royal Astronomical Society

Decentralized Lightweight Detection of Eclipse Attacks on Bitcoin Clients

AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark

Simplifying the OpenFlexure microscope software with the web of things

NewsPod: Automatic and Interactive News Podcasts

International Conference on Intelligent User Interfaces

Might I Get Pwned: A Second Generation Password Breach Alerting Service.

Virtual Scanner: MRI on a Browser

Zenodo (CERN European Organization for Nuclear Research)

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization

GIMS: Graphical Interface for Materials Simulations


An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.

AlpacaFarm: A Simulation Framework for Methods that Learn from Human
  Feedback

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
  APIs

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

UltraFeedback: Boosting Language Models with High-quality Feedback

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

AlpaGasus: Training A Better Alpaca with Fewer Data

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Self-Alignment with Instruction Backtranslation

Prometheus: Inducing Fine-grained Evaluation Capability in Language
  Models

Self-Rewarding Language Models


nanobind: tiny and efficient C++/Python bindings

Efficient phase-space generation for hadron collider event simulation


A machine learning package for streaming data in Python. The other ancestor of River.

Scikit-Multiflow: A Multi-output Streaming Framework

Adaptive XGBoost for Evolving Data Streams

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance

Computational intelligence and neuroscience

Changes from the Trenches: Should We Automate Them?

Online Multi-target regression trees with stacked leaf models

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles


R Interface to Torch

Parameter Estimation in Nonlinear Multivariate Stochastic Differential
  Equations Based on Splitting Schemes

Interpreting Deep Neural Networks with the Package innsight

A Toolkit for Analyzing and Visualizing Online Users via Reshare Cascade Modeling

Flexible and efficient spatial extremes emulation via variational
  autoencoders


A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.

Towards Automating Code Review Activities

The Technical Debt Dataset

Predictive Models in Software Engineering

TEST - COPY -TEST Analysing Noisy Driver Physiology Real-Time Using Off-the-Self Sensors: Heart Rate Analysis Software from the Taking the Fast Lane Project.

Using Pre-Trained Models to Boost Code Review Automation

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

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized
  Toolsets

Are game engines software frameworks? A three-perspective study

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

Test Automation Maturity Improves Product Quality -- Quantitative Study
  of Open Source Projects Using Continuous Integration

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

Test Suites as a Source of Training Data for Static Analysis Alert Classifiers


A library OS for Linux multi-process applications, with Intel SGX support

BYOTee: Towards Building Your Own Trusted Execution Environments Using
  FPGA


An open-source multi-purpose N-body code.

REBOUND: an open-source multi-purpose N-body code for collisional dynamics

ias15: a fast, adaptive, high-order integrator for gravitational dynamics, accurate to machine precision over a billion orbits

Period ratios in multiplanetary systems discovered by Kepler are consistent with planet migration

Monthly Notices of the Royal Astronomical Society: Letters

Dynamical Constraints on the HR 8799 Planets with GPI

All planetesimals born near the Kuiper belt formed as binaries

The Formation of Jupiter's Diluted Core by a Giant Impact

Discovery of a Third Transiting Planet in the Kepler-47 Circumbinary System

The stability of tightly-packed, evenly-spaced systems of Earth-mass planets orbiting a Sun-like star

No circumbinary planets transiting the tightest Kepler binaries – a possible fingerprint of a third star

A gap in the planetesimal disc around HD 107146 and asymmetric warm dust emission revealed by ALMA

Monthly notices of the Royal Astronomical Society


Train Ticket - A Benchmark Microservice System

Enjoy your observability: an industrial survey of microservice tracing and analysis

Automated Code-Smell Detection in Microservices Through Static Analysis: A Case Study

Microvision: Static analysis-based approach to visualizing microservices in augmented reality

Advancing Static Code Analysis With Language-Agnostic Component Identification

Automatic Extraction of Security-Rich Dataflow Diagrams for Microservice
  Applications written in Java

DeLag: Using Multi-Objective Optimization to Enhance the Detection of Latency Degradation Patterns in Service-Based Systems

Autothrottle: A Practical Bi-Level Approach to Resource Management for
  SLO-Targeted Microservices

Fault Injection Based Interventional Causal Learning for Distributed Applications

Proceedings of the AAAI Conference on Artificial Intelligence

ChainsFormer: A Chain Latency-aware Resource Provisioning Approach for
  Microservices Cluster


Speech recognition module for Python, supporting several engines and APIs, online and offline.

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing

Speech-Based Surgical Phase Recognition for Non-Intrusive Surgical Skills’ Assessment in Educational Contexts

Generating machine-executable plans from end-user's natural-language instructions

Kosp2e: Korean Speech to English Translation Corpus

Participant Perceptions of a Robotic Coach Conducting Positive
  Psychology Exercises: A Systematic Analysis

Transcranial Magnetic Stimulation-Induced Motor Cortex Activity Influences Visual Awareness Judgments

Application of Wearable Computer and ASR Technology in an Underground Mine to Support Mine Supervision of the Heavy Machinery Chamber

CITISEN: A Deep Learning-Based Speech Signal-Processing Mobile Application


Parflow is an open-source parallel watershed flow model.

Pan-European groundwater to atmosphere terrestrial systems climatology from a physically consistent simulation

Development of a Deep Learning Emulator for a Distributed Groundwater–Surface Water Model: ParFlow-ML

Leveraging HPC accelerator architectures with modern techniques — hydrologic modeling on GPUs with ParFlow

A hydrological simulation dataset of the Upper Colorado River Basin from 1983 to 2019


Openai Gym with Dart support

OpenAI Gym

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

Learning Fast Adaptation With Meta Strategy Optimization

Using Deep Reinforcement Learning for the Continuous Control of Robotic Arms

Expanding Motor Skills through Relay Neural Networks


A series of large language models trained from scratch by developers @01-ai

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

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

An Open Source Data Contamination Report for Large Language Models

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models
  Catching up?

Yi: Open Foundation Models by 01.AI

Make Them Spill the Beans! Coercive Knowledge Extraction from
  (Production) LLMs

PromptBench: A Unified Library for Evaluation of Large Language Models

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark

MM-SAP: A Comprehensive Benchmark for Assessing Self-Awareness of
  Multimodal Large Language Models in Perception

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to
  256K


:microscope: Java Code Coverage Library

Test case selection and prioritization using machine learning: a systematic literature review

Morest: Model-based RESTful API Testing with Execution Feedback

A Pattern-based Approach to Detect and Improve Non-descriptive Test Names

Towards Autonomous Testing Agents via Conversational Large Language Models

From Monolith to Microservices: Static and Dynamic Analysis Comparison

Does Unit-Tested Code Crash? A Case Study of Eclipse


A QT application, a OGC web map server, a collaboration server to plan atmospheric research flights.

A web service based tool to plan atmospheric research flights


Livermore Big Artificial Neural Network Toolkit

The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding
  Proteins

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


A multilingual dialog corpus

A Large-Scale Chinese Short-Text Conversation Dataset

TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open
  Generative Large Language Models

Using GANs to Synthesise Minimum Training Data for Deepfake Generation

A Talker Ensemble: the University of Wrocław's Entry to the NIPS 2017
  Conversational Intelligence Challenge

The Springer series on challenges in machine learning

A Counselling Corpus in Cantonese

Workshop on Spoken Language Technologies for Under-resourced Languages


A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

LightGBM: A Highly Efficient Gradient Boosting Decision Tree

CatBoost: unbiased boosting with categorical features

CatBoost: gradient boosting with categorical features support

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Deep Embedding Forest: Forest-based Serving with Deep Embedding Features

Classification of Aerial Photogrammetric 3D Point Clouds

GPU-acceleration for Large-scale Tree Boosting

PhageAI - Bacteriophage Life Cycle Recognition with Machine Learning and Natural Language Processing

The ASHRAE Great Energy Predictor III competition: Overview and results

Science and Technology for the Built Environment

Modeling the Sequential Dependence among Audience Multi-step Conversions with Multi-task Learning in Targeted Display Advertising


Beautiful Algorithms to Normalize Zillions of Astronomical Images

Real-time processing of the imaging data from the network of Las Cumbres Observatory Telescopes using BANZAI

Software and Cyberinfrastructure for Astronomy V

A White Dwarf with Transiting Circumstellar Material Far outside the Roche Limit

Two New Calcium-rich Gap Transients in Group and Cluster Environments

The Broadband Counterpart of the Short GRB 200522A at z = 0.5536: A Luminous Kilonova or a Collimated Outflow with a Reverse Shock?

The First Post-Kepler Brightness Dips of KIC 8462852

The complex evolution of the X-ray binary transient MAXI J1807+132 along the decay of its discovery outburst

Long-Term Monitoring of Throughput in Las Cumbres Observatory's Fleet of Telescopes

Modeling the Spectral Energy Distributions and Spectropolarimetry of Blazars—Application to 4C+01.02 in 2016–2017*

Automatic Échelle Spectrograph Wavelength Calibration

Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit


Scalable and user friendly neural :brain: forecasting algorithms.

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

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

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Deep Learning for Time Series Forecasting: Tutorial and Literature Survey


Efficient Augmented Reality for the Web - 60fps on mobile!

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Web Apps Come of Age for Molecular Sciences

Building blocks for commodity augmented reality-based molecular visualization and modeling in web browsers

Tangible VR Book: Exploring the Design Space of Marker-Based Tangible Interfaces for Virtual Reality

Towards Commodity, Web-Based Augmented Reality Applications for Research and Education in Chemistry and Structural Biology.

Marker-based Tangible Interfaces for Smartphone-based Virtual Reality

ICST transactions on mobile communications and applications


Implementation of CoAP Server & Client in Go

Investigating Messaging Protocols for the Internet of Things (IoT)

CoAP-Based Streaming Control for IoT Applications

Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments


Integrative Genomics Viewer. Fast, efficient, scalable visualization tool for genomics data and annotations

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

UALCAN: An update to the integrated cancer data analysis platform

Classification and clustering of RNA crosslink-ligation data reveal complex structures and homodimers

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


Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Jasper: An End-to-End Convolutional Neural Acoustic Model

Stochastic Gradient Methods with Layer-wise Adaptive Moments for Training of Deep Networks

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

International Congress on Image and Signal Processing

Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq

End-to-End Speech Recognition and Disfluency Removal

Reducing Spelling Inconsistencies in Code-Switching ASR using
  Contextualized CTC Loss

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition


An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

SkiMap: An Efficient Mapping Framework for Robot Navigation

Overview obstacle maps for obstacle‐aware navigation of autonomous drones

Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge

Occupancy Grid Mapping Without Ray-Casting for High-Resolution LiDAR Sensors

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model

Efficient volumetric mapping of multi-scale environments using wavelet-based compression


Forecasting Functions for Time Series and Linear Models

Warming advances top-down control and reduces producer biomass in a freshwater plankton community

Climate Based Predictability of Oil Palm Tree Yield in Malaysia

Clinical and Epidemiologic Patterns of Chikungunya Virus Infection and Coincident Arboviral Disease in a School Cohort in Haiti, 2014–2015

Clinical infectious diseases/Clinical infectious diseases (Online. University of Chicago. Press)

Investor Happiness and Predictability of the Realized Volatility of Oil Price

On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data

Repeated flood disturbance enhances rotifer dominance and diversity in a zooplankton community of a small dammed mountain pond

Extracting conditionally heteroscedastic components using ICA

Statistical Emulators for Pricing and Hedging Longevity Risk Products

Month-wise variation and prediction of bulk tank somatic cell count in Brazilian dairy herds and its impact on payment based on milk quality

A Bayesian Model for Forecasting Hierarchically Structured Time Series


This has been moved to https://github.com/ethereum/remix-project

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

International Conference on Software Engineering

A Novel Location Privacy-Preserving Approach Based on Blockchain

Exploring Security Practices of Smart Contract Developers


DLRover: An Automatic Distributed Deep Learning System

Sharpness-Aware Minimization Revisited: Weighted Sharpness as a Regularization Term

Adaptive Optimizers with Sparse Group Lasso for Neural Networks in CTR Prediction


web-based analysis tool for rare disease genomics

A three-year follow-up study evaluating clinical utility of exome sequencing and diagnostic potential of reanalysis

A founder mutation in the PLPBP gene in families from Saguenay‐Lac‐St‐Jean region affected by a pyridoxine‐dependent epilepsy

A novel variant in GATM causes idiopathic renal Fanconi syndrome and predicts progression to end‐stage kidney disease

Monogenic Versus Multifactorial Inheritance in the Development of Isolated Cleft Palate: A Whole Genome Sequencing Study


This is the home of Geo Open Accessibility Tool (GOAT)

Population Disaggregation on the Building Level Based on Outdated Census Data

ISPRS international journal of geo-information


Miami InSAR time-series software in Python

Small baseline InSAR time series analysis: Unwrapping error correction and noise reduction

LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor

Earthquake Swarms Triggered by Groundwater Extraction Near the Dead Sea Fault

Evolution Assessment of Mining Subsidence Characteristics Using SBAS and PS Interferometry in Sanshandao Gold Mine, China

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

MONITORING OF LAND SURFACE DISPLACEMENT BASED ON SBAS-INSAR TIME-SERIES AND GIS TECHNIQUES: A CASE STUDY OVER THE SHIRAZ METROPOLIS, IRAN

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data

Natural hazards and earth system sciences

Multi-temporal InSAR and Sentinel-1 for assessing land surface movement of Joshimath town, India


zkSnark circuit compiler

Non-Interactive Zero-Knowledge for Blockchain: A Survey

Analysis and Application of Verifiable Computation Techniques in Blockchain Systems for the Energy Sector

ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable
  Ranked-Choice Voting Protocol

Formal Verification of Zero-Knowledge Circuits

International Workshop on the ACL2 Theorem Prover and Its Applications


The Python ensemble sampling toolkit for affine-invariant MCMC

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

A temperate rocky super-Earth transiting a nearby cool star

Helium in the eroding atmosphere of an exoplanet

A rocky planet transiting a nearby low-mass star

Multiwavelength analysis for interferometric (sub-)mm observations of protoplanetary disks - Radial constraints on the dust properties and the disk structure

Strong dependence of Type Ia supernova standardization on the local specific star formation rate

An extended hydrogen envelope of the extremely hot giant exoplanet KELT-9b

On the detection of a cosmic dawn signal in the radio background

An absolute sodium abundance for a cloud-free 'hot Saturn' exoplanet

A candidate super-Earth planet orbiting near the snow line of Barnard’s star


BESS: Berkeley Extensible Software Switch

NFVactor: A Resilient NFV System using the Distributed Actor Model

Benchmarking NFV Software Dataplanes.

MTS: Bringing Multi-Tenancy to Virtual Networking


Ethereum smart contract fuzzer

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

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

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

sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

Harvey: A Greybox Fuzzer for Smart Contracts

Understanding Security Issues in the NFT Ecosystem

How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

International Symposium on Software Testing and Analysis

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

CONFUZZIUS: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

Targeted Greybox Fuzzing with Static Lookahead Analysis


FlowDroid Static Data Flow Tracker

Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash

OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning

Are free Android app security analysis tools effective in detecting known vulnerabilities?

TaintBench: Automatic real-world malware benchmarking of Android taint analyses

Characterizing Sensor Leaks in Android Apps

Demystifying Hidden Sensitive Operations in Android Apps

BenchPress: Analyzing Android App Vulnerability Benchmark Suites

Survey of Malware Analysis through Control Flow Graph using Machine
  Learning

Understanding Privacy Over-collection in WeChat Sub-app Ecosystem


OpenMMLab Computer Vision Foundation

The KFIoU Loss for Rotated Object Detection

Detecting Rotated Objects as Gaussian Distributions and Its 3-D
  Generalization

TransKD: Transformer Knowledge Distillation for Efficient Semantic
  Segmentation

High-Resolution Swin Transformer for Automatic Medical Image Segmentation

Federated Self-supervised Learning for Video Understanding

Distilling Image Classifiers in Object Detectors

SkySense: A Multi-Modal Remote Sensing Foundation Model Towards
  Universal Interpretation for Earth Observation Imagery

Rethinking Image-based Table Recognition Using Weakly Supervised Methods

Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding

An End-to-End Multi-Task Learning Model for Image-based Table Recognition


Datasets, tools, and benchmarks for representation learning of code.

Open Graph Benchmark: Datasets for Machine Learning on Graphs

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

GraphCodeBERT: Pre-training Code Representations with Data Flow

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

An Empirical Study on the Usage of BERT Models for Code Completion

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

An Empirical Study on the Usage of Transformer Models for Code Completion

Are we building on the rock? on the importance of data preprocessing for code summarization

StructCoder: Structure-Aware Transformer for Code Generation


Example notebooks that show how to apply quantum computing with Amazon Braket.

Shuttle-Exploiting Attacks and Their Defenses in Trapped-Ion Quantum Computers

Adiabatic Quantum Computing for Logistic Transport Optimization


Code coverage for Solidity smart-contracts

SuMo: A Mutation Testing Strategy for Solidity Smart Contracts

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

TxT: Real-Time Transaction Encapsulation for Ethereum Smart Contracts

IEEE transactions on information forensics and security


NWChem: Open Source High-Performance Computational Chemistry

NWChem: Past, Present, and Future

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers

A Filon-like integration strategy for calculating exact exchange in periodic boundary conditions: a plane-wave DFT implementation

Periodic plane-wave electronic structure calculations on quantum computers

Reproducibility of density functional approximations: How new functionals should be reported.


A C++ standalone library for machine learning

Rethinking Evaluation in ASR: Are Our Models Robust Enough?

SlimIPL: Language-Model-Free Iterative Pseudo-Labeling

Towards Building ASR Systems for the Next Billion Users

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

Flashlight: Enabling Innovation in Tools for Machine Learning

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis

Star Temporal Classification: Sequence Classification with Partially Labeled Data


The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Confident Learning: Estimating Uncertainty in Dataset Labels

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

Identifying Incorrect Annotations in Multi-Label Classification Data

Detecting Label Errors in Token Classification Data

Measuring Data

Label Errors in BANKING77

Proceedings of the Third Workshop on Insights from Negative Results in NLP

On Evaluation of Document Classification using RVL-CDIP

CROWDLAB: Supervised learning to infer consensus labels and quality
  scores for data with multiple annotators


Creative Commons Attribution 4.0 International

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

StarCoder: may the source be with you!

Characterizing and Detecting Hateful Users on Twitter

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

RedCaps: web-curated image-text data created by the people, for the people

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

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with
  Text

Analyzing the hate and counter speech accounts on Twitter.

"Like Sheep Among Wolves": Characterizing Hateful Users on Twitter


Workflow Engine for Kubernetes

Computational Strategies for Scalable Genomics Analysis

Object Detection in Driving Datasets Using a High-Performance Computing Platform: A Benchmark Study

Smart5Grid Solutions for enhanced TSO grid observability and manageability in massive RES penetration environment

Zenodo (CERN European Organization for Nuclear Research)

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

How Can AI be Distributed in the Computing Continuum? Introducing the
  Neural Pub/Sub Paradigm

A Pragmatical Approach to Anomaly Detection Evaluation in Edge Cloud
  Systems


WebAssembly System Interface

A Lightweight Design for Serverless Function as a Service

Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions

MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code

On the Use of Web Assembly in a Serverless Context

Lecture notes in business information processing

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

Multi-variant Execution at the Edge

An Evaluation of WebAssembly and eBPF as Offloading Mechanisms in the
  Context of Computational Storage


Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Benchmarking Natural Language Understanding Services for building Conversational Agents

Few-shot Natural Language Generation for Task-Oriented Dialog

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering

Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU

Few-Shot Generalization Across Dialogue Tasks

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Improving Access to Justice with Legal Chatbots

HINT3: Raising the bar for Intent Detection in the Wild

Proceedings of the First Workshop on Insights from Negative Results in NLP


Main operatorfabric program


The Swift Programming Language

DiffTaichi: Differentiable Programming for Physical Simulation

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

Instead of Rewriting Foreign Code for Machine Learning, Automatically Synthesize Fast Gradients

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

Reachability types: tracking aliasing and separation in higher-order functional programs

Proceedings of the ACM on programming languages

Swift for TensorFlow: A portable, flexible platform for deep learning

The Essence of Software Engineering - Data-Driven Decisions and Actions in Today’s Software Development

Future Directions for Optimizing Compilers

Optimization of Swift Protocols

Duration Estimation Models for Open Source Software Projects

International journal of information technology and computer science


An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

Multi-Scale Neural Network for EEG Representation Learning in BCI

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition

Source-free Subject Adaptation for EEG-based Visual Recognition


Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

Co-Production of a 10-m Cropland Extent Map for Continental Africa using Sentinel-2, Cloud Computing, and the Open-Data-Cube


Data and code behind the articles and graphics at FiveThirtyEight

Similarity encoding for learning with dirty categorical variables

Encoding High-Cardinality String Categorical Variables

IEEE transactions on knowledge and data engineering

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

Online Prediction with Selfish Experts

Analyzing Film Adaptation through Narrative Alignment

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

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

International Conference on Computational Linguistics


A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography

MEG-BIDS, the brain imaging data structure extended to magnetoencephalography

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

Open and reproducible neuroimaging: From study inception to publication

ASL-BIDS, the brain imaging data structure extension for arterial spin labeling

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

BIDS-EEG: an extension to the Brain Imaging Data Structure (BIDS) Specification for electroencephalography

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

MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography

Hierarchical Event Descriptor library schema for EEG data annotation


Leveraging BERT and c-TF-IDF to create easily interpretable topics.

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques

Examining Temporal Bias in Abusive Language Detection

An NLP Approach for Extracting Practical Knowledge from a CMS-Based Community of Practice in E-Learning

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Characterizing Financial Market Coverage using Artificial Intelligence

Topic Modeling With Topological Data Analysis

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


On the suitability of blockchain platforms for IoT applications: Architectures, security, privacy, and performance

Smart Contracts on the Move

Blockchain Consensus Algorithms: A Survey

Shard Scheduler: object placement and migration in sharded account-based blockchains

Verilay: A Verifiable Proof of Stake Chain Relay

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

On the Security of Permissioned Blockchain Solutions for IoT Applications

PROCEEDINGS OF THE 2020 6TH IEEE CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2020): BRIDGING THE GAP BETWEEN AI AND NETWORK SOFTWARIZATION


Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.


Scalable Multi-Agent RL Training School for Autonomous Driving

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

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

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

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

NeurIPS 2022 Competition: Driving SMARTS


A cloud-native vector database, storage for next generation AI applications

Billion-scale similarity search with GPUs

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

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

Polysemous Codes

Manu: A Cloud Native Vector Database Management System

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured
  and Unstructured Constraints

Domain-specific ChatBots for Science using Embeddings


A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

Real-time Action Recognition with Enhanced Motion Vector CNNs

Actionness Estimation Using Hybrid Fully Convolutional Networks

Knowledge Guided Disambiguation for Large-Scale Scene Classification With Multi-Resolution CNNs

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

Places205-VGGNet Models for Scene Recognition

End-to-end Video-level Representation Learning for Action Recognition

Spatio-temporal Person Retrieval via Natural Language Queries

Video Activity Recognition: State-of-the-Art

Better Exploiting OS-CNNs for Better Event Recognition in Images


The Guardian is an innovative open-source platform that streamlines the creation, management, and verification of digital environmental assets. It leverages a customizable Policy Workflow Engine and Web3 technology to ensure transparent and fraud-proof operations, making it a key tool for transforming sustainability practices and carbon markets.


Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based 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

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

ActBERT: Learning Global-Local Video-Text Representations

Collaborative Video Object Segmentation by Multi-Scale Foreground-Background Integration

T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval


Example models for Stan

Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

Fast Black-box Variational Inference through Stochastic Trust-Region Optimization

Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation

Bayesian Workflow.

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic

Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming

Hamiltonian Monte Carlo Swindles

Black Box Variational Inference with a Deterministic Objective: Faster,
  More Accurate, and Even More Black Box

A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets

A spatial-mechanistic model to estimate subnational tuberculosis burden with routinely collected data: An application in Brazilian municipalities


Apache Commons Math

A Closer Look at Real-World Patches

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

Defect Prediction Guided Search-Based Software Testing

International Conference on Automated Software Engineering

Smoke testing for machine learning: simple tests to discover severe bugs

An Initial Step Towards Organ Transplantation Based on GitHub Repository


TensorLy: Tensor Learning in Python.

TensorLy: Tensor Learning in Python

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection

Spectral Learning on Matrices and Tensors

Foundations and trends in machine learning

Tensor Regression

TensorShield: Tensor-based Defense Against Adversarial Attacks on Images

Blind Source Separation for NMR Spectra with Negative Intensity

Time-varying Graph Representation Learning via Higher-Order Skip-Gram
  with Negative Sampling


Fast and memory-efficient exact attention

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

Efficient Memory Management for Large Language Model Serving with PagedAttention

FlashAttention-2: Faster Attention with Better Parallelism and Work
  Partitioning

LongNet: Scaling Transformers to 1,000,000,000 Tokens

ONE-PEACE: Exploring One General Representation Model Toward Unlimited
  Modalities

TrustLLM: Trustworthiness in Large Language Models

The Languini Kitchen: Enabling Language Modelling Research at Different
  Scales of Compute

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining


Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

Quantum Chemistry in the Age of Quantum Computing

Open source software in quantum computing

Production of photonic universal quantum gates enhanced by machine learning

Fast Simulation of Bosonic Qubits via Gaussian Functions in Phase Space

Efficient construction of matrix-product representations of many-body Gaussian states


A JSON-like data structure (a CRDT) that can be modified concurrently by different users, and merged again automatically.

OpSets: Sequential Specifications for Replicated Datatypes (Extended
  Version)

Real-time collaborative multi-level modeling by conflict-free replicated data types

Collabs: A Flexible and Performant CRDT Collaboration Framework

Keep CALM and CRDT On

The Art of the Fugue: Minimizing Interleaving in Collaborative Text
  Editing


Open source SDR 4G software suite from Software Radio Systems (SRS) https://docs.srsran.com/projects/4g

Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems

Fair Coexistence of Scheduled and Random Access Wireless Networks: Unlicensed LTE/WiFi

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

Easy 4G/LTE IMSI Catchers for Non-Programmers

Towards 5G-based IoT security analysis against Vo5G eavesdropping

Software Defined Radio Platforms for Wireless Technologies

Prototyping Next-Generation O-RAN Research Testbeds with SDRs

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

A softwarized perspective of the 5G networks.

CSAI: Open-Source Cellular Radio Access Network Security Analysis Instrument


Schema and generated objects for biolink data model and upper ontology

Biolink Model: A Universal Schema for Knowledge Graphs in Clinical,
  Biomedical, and Translational Science

Transforming the study of organisms: Phenomic data models and knowledge bases

From Reductionism to Reintegration: Solving society’s most pressing problems requires building bridges between data types across the life sciences


High-quality implementations of standard and SOTA methods on a variety of tasks.

A survey of uncertainty in deep neural networks

Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Training independent subnetworks for robust prediction

A Simple Fix to Mahalanobis Distance for Improving Near-OOD Detection

Plex: Towards Reliability using Pretrained Large Model Extensions

Uncertainty Baselines: Benchmarks for Uncertainty & Robustness in Deep Learning

On Mixup Regularization

Soft Calibration Objectives for Neural Networks


Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-)  hydrodynamics simulation code for massively parallel CPU and GPU architectures.

WHITE DWARF MERGERS ON ADAPTIVE MESHES. I. METHODOLOGY AND CODE VERIFICATION

Improved Coupling of Hydrodynamics and Nuclear Reactions via Spectral Deferred Corrections

Dynamics of Laterally Propagating Flames in X-Ray Bursts. I. Burning Front Structure

An Improved Method for Coupling Hydrodynamics with Astrophysical Reaction Networks

Dynamics of Laterally Propagating Flames in X-Ray Bursts. II. Realistic Burning and Rotation

Practical Effects of Integrating Temperature with Strang Split Reactions

Sensitivity of He Flames in X-Ray Bursts to Nuclear Physics

Comparing Early Evolution of Flames in X-Ray Bursts in Two and Three Dimensions

Extracting Insights from Astrophysics Simulations


Quickly and accurately render even the largest data.

Vaex: big data exploration in the era of Gaia

Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Interactive (statistical) visualisation and exploration of a billion objects with vaex

Proceedings of the International Astronomical Union

Data Point Selection for Line Chart Visualization: Methodological
  Assessment and Evidence-Based Guidelines

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB


The IDAES Process Systems Engineering Framework

Massive Monte Carlo simulations-guided interpretable learning of two-dimensional Curie temperature

Dynamic Modeling and Nonlinear Model Predictive Control of a Moving Bed Chemical Looping Combustion Reactor

OneStopTuner: An End to End Architecture for JVM Tuning of Spark
  Applications


A Hyperparameter Tuning Library for Keras

r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection

Fast convolutional neural networks on FPGAs with hls4ml

Machine learning: science and technology

Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids Using Graph Neural Networks

Graph Neural Networks Based Detection of Stealth False Data Injection Attacks in Smart Grids

Deep Learning for Novel Antimicrobial Peptide Design

Data augmentation and transfer learning to classify malware images in a deep learning context

Journal of computer virology and hacking techniques

Copolymer Informatics with Multitask Deep Neural Networks

PyGlove: Symbolic Programming for Automated Machine Learning

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

IEEE transactions on instrumentation and measurement

Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment


Low-precision matrix multiplication

TensorFlow: A system for large-scale machine learning

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Quantizing deep convolutional networks for efficient inference: A whitepaper

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

Scalable Methods for 8-bit Training of Neural Networks

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

Processing-in-memory: A workload-driven perspective

DeepShift: Towards Multiplication-Less Neural Networks

Freely scalable and reconfigurable optical hardware for deep learning

Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices

PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)


This repository combines the code from and supersedes the prior existing Shared, Platform, Protocol-Adapter-OSLP, Protocol-Adapter-IEC61850, Protocol-Adapter-DLMS, PublicLightingDemoApp and Integration-Tests repositories. The old repositories have been kept online for now in readonly mode to preserve the historical information.


Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc

Wasmati: An efficient static vulnerability scanner for WebAssembly

DeepVulSeeker: A Novel Vulnerability Identification Framework via Code
  Graph Structure and Pre-training Mechanism

Boosting Code Summarization by Embedding Code Structures

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

Learning to Extend Program Graphs to Work-in-Progress Code

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation

A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis

Representing LLVM-IR in a Code Property Graph

Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors


Linux-CAN / SocketCAN user space applications

CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data

System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment

ReCAN – Dataset for reverse engineering of Controller Area Networks

My other car is your car: compromising the Tesla Model X keyless entry system

IACR transactions on cryptographic hardware and embedded systems

N 2 C : Neural Network Controller Design Using Behavioral Cloning

Covert Channel-Based Transmitter Authentication in Controller Area Networks

Addressing the Lack of Comparability & Testing in CAN Intrusion
  Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of
  the ROAD Dataset


A Linux-capable RISC-V multicore for and by the world

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated
  Circuit Synthesis

Assessment of Reinforcement Learning for Macro Placement

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale
  Complex IP Blocks

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching


A collection of pre-trained, state-of-the-art models in the ONNX format

Surgical Data Science -- from Concepts toward Clinical Translation

Serving DNNs like Clockwork: Performance Predictability from the Bottom Up

The Deep Learning Compiler: A Comprehensive Survey

IEEE transactions on parallel and distributed systems

Deep learning in electron microscopy

Compiling ONNX Neural Network Models Using MLIR

情報処理学会論文誌プログラミング（PRO）

ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

Frustrated with Replicating Claims of a Shared Model? A Solution

FairCal: Fairness Calibration for Face Verification

Promoting High Diversity Ensemble Learning with EnsembleBench


Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

A review on outlier/anomaly detection in time series data

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

Why Neurons Have Thousands of Synapses, a Theory of Sequence Memory in Neocortex

Continuous online sequence learning with an unsupervised neural network model

A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler

Neuromorphic System for Spatial and Temporal Information Processing

Skill Learning for Intelligent Robot by Perception-Action Integration: A View from Hierarchical Temporal Memory

Satisfaction Levels and Factors Influencing Satisfaction With Use of a Social App for Neonatal and Pediatric Patient Transfer Information Systems: A Questionnaire Study Among Doctors

Toward navigation ability for autonomous mobile robots with learning from demonstration paradigm: A view of hierarchical temporal memory

International journal of advanced robotic systems


Gephi - The Open Graph Viz Platform

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

Weighted Betweenness Preferential Attachment: A New Mechanism Explaining Social Network Formation and Evolution

Genetic basis for the establishment of endosymbiosis in Paramecium

A hybrid algorithm based on community detection and multi attribute decision making for influence maximization

A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed

Therapeutic advances in gastroenterology

How Symmetric Are Real-World Graphs? A Large-Scale Study

Defining Cyber Security and Cyber Security Risk within a Multidisciplinary Context using Expert Elicitation

Risk analysis : an official publication of the Society for Risk Analysis

Cross-Disciplinary Detection and Analysis of Network Motifs

Solving Vertex Cover in Polynomial Time on Hyperbolic Random Graphs

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data


Joda-Time is the widely used replacement for the Java date and time classes prior to Java SE 8.

Fast and Precise On-the-fly Patch Validation for All

A comprehensive study of pseudo-tested methods

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

IEEE transactions on software engineering

Cerebro: Static Subsuming Mutant Selection

Commit-Aware Mutation Testing

International Conference on Software Maintenance

Program Repair: Automated vs. Manual

On the use of commit-relevant mutants

Refactoring Assertion Roulette and Duplicate Assert test smells: a
  controlled experiment

Learning Likely Invariants to Explain Why a Program Fails

International Conference on Engineering of Complex Computer Systems


Uplift modeling and causal inference with machine learning algorithms

Causal Effect Inference with Deep Latent-Variable Models

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

A Survey on Causal Inference

Adapting Neural Networks for the Estimation of Treatment Effects

CausalML: Python Package for Causal Machine Learning

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Surgical or percutaneous coronary revascularization for heart failure: an in silico model using routinely collected health data to emulate a clinical trial

The Big Three: A Methodology to Increase Data Science ROI by Answering the Questions Companies Care About

Feature Selection Methods for Uplift Modeling and Heterogeneous Treatment Effect

IFIP advances in information and communication technology

A Loss-Function for Causal Machine-Learning


Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches

Achieving Human Parity in Conversational Speech Recognition

The Microsoft 2017 Conversational Speech Recognition System

CNTK: Microsoft's Open-Source Deep-Learning Toolkit

The Microsoft 2016 Conversational Speech Recognition System

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

A First Look at Deep Learning Apps on Smartphones

Medical image analysis based on deep learning approach


The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

Privacy and Trust Redefined in Federated Machine Learning

Machine learning and knowledge extraction

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It


Scalable collective authority

Enhancing Bitcoin Security and Performance with Strong Consistency via Collective Signing

Keeping Authorities "Honest or Bust" with Decentralized Witness Cosigning

Survey: Sharding in Blockchains

Raziel: Private and Verifiable Smart Contracts on Blockchains

Brick: Asynchronous State Channels

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

Brick: Asynchronous Payment Channels

Privacy-preserving Decentralized Deep Learning with Multiparty
  Homomorphic Encryption


Q# libraries for the Quantum Development Kit

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers

Quantum Circuits for Functionally Controlled NOT Gates

A Q# Implementation of a Quantum Lookup Table for Quantum Arithmetic Functions


Community curated plugins for core-lightning

Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network

HIDE & SEEK: Privacy-Preserving Rebalancing on Payment Channel Networks

Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation

D-LNBot: A Scalable, Cost-Free and Covert Hybrid Botnet on Bitcoin's
  Lightning Network

Online Admission Control and Rebalancing in Payment Channel Networks


A curated list of awesome frameworks, libraries and software for the Java programming language.

Antipatterns in Software Classification Taxonomies

LabelGit: A Dataset for Software Repositories Classification using
  Attributed Dependency Graphs

Using Structural and Semantic Information to Identify Software
  Components


An elegant PyTorch deep reinforcement learning library.

Rainbow: Combining Improvements in Deep Reinforcement Learning

PettingZoo: Gym for Multi-Agent Reinforcement Learning

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Learning Certified Control using Contraction Metric

Neural Ordinary Differential Equation Control of Dynamics on Graphs

Human-Level Control through Directly-Trained Deep Spiking Q-Networks

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning

Multi-agent Dynamic Algorithm Configuration

Parallel Actors and Learners: A Framework for Generating Scalable RL Implementations

Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion


Official repo for the #tidytuesday project

GPT detectors are biased against non-native English writers

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

Integrating Random Effects in Deep Neural Networks

A Realistic Guide to Making Data Available Alongside Code to Improve
  Reproducibility

Ten simple rules for teaching yourself R

Using API with Logistic Regression Model to Predict Hotel Reservation Cancellation by Detecting the Cancellation Factors

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

TaBIIC: Taxonomy Building through Iterative and Interactive Clustering


Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

A global database of COVID-19 vaccinations

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

A cross-country database of COVID-19 testing

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing

Collectivism predicts mask use during COVID-19

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

Consumer Responses to the COVID-19 Crisis: Evidence from Bank Account Transaction Data

Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021

Unrepresentative big surveys significantly overestimated US vaccine uptake

The effect of mandatory COVID-19 certificates on vaccine uptake: synthetic-control modelling of six countries

Lancet COVID-19 Commission Statement on the occasion of the 75th session of the UN General Assembly


a basic OpenSCENARIO player

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous
  Vehicles

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

The ConScenD Dataset: Concrete Scenarios from the highD Dataset According to ALKS Regulation UNECE R157 in OpenX

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario
  Simulation and Modeling

A Taxonomy for Quality in Simulation-Based Development and Testing of Automated Driving Systems

Methodological challenges of scenario generation validation: a rear-end
  crash-causation model for virtual safety assessment


The electronic structure package for quantum computers.

Computing with spin qubits at the surface code error threshold

A Quantum Computing View on Unitary Coupled Cluster Theory

A Language and Hardware Independent Approach to Quantum-Classical
  Computing

Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and
  Challenges


pefile is a Python module to read and work with PE (Portable Executable) files

Transfer Learning for Image-Based Malware Classification

Activation Analysis of a Byte-Based Deep Neural Network for Malware Classification

A Survey of Machine Learning Methods and Challenges for Windows Malware Classification

Exploring Backdoor Poisoning Attacks Against Malware Classifiers

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors

On Visual Hallmarks of Robustness to Adversarial Malware

Application of Distance Metric Learning to Automated Malware Detection

Improving Malware Detection Accuracy by Extracting Icon Information

Malfustection: Obfuscated Malware Detection and Malware Classification
  with Data Shortage by Combining Semi-Supervised and Contrastive Learning

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets.


Parameter/topology editor and molecular simulator

Solvation free energies and partition coefficients with the coarse-grained and hybrid all-atom/coarse-grained MARTINI models

Journal of computer-aided molecular design

Effects of Acetylation and Phosphorylation on Subunit Interactions in Three Large Eukaryotic Complexes

Structural and dynamical insights into the PH domain of p62 in human TFIIH

Predicting molecular properties of α‐synuclein using force fields for intrinsically disordered proteins

Proteins: Structure, Function, and Bioinformatics

Replica-Exchange Enveloping Distribution Sampling Using Generalized AMBER Force-Field Topologies: Application to Relative Hydration Free-Energy Calculations for Large Sets of Molecules

Journal of chemical information and modeling

Domino-like effect of C112R mutation on ApoE4 aggregation and its reduction by Alzheimer’s Disease drug candidate

Mechanistic insights into multiple-step transport of mitochondrial ADP/ATP carrier

Computational and structural biotechnology journal

Design of Peptides that Fold and Self-Assemble on Graphite


Official AFNI source and documentation

fMRIPrep: a robust preprocessing pipeline for functional MRI

CoSMoMVPA: Multi-Modal Multivariate Pattern Analysis of Neuroimaging Data in Matlab/GNU Octave

A comprehensive macaque fMRI pipeline and hierarchical atlas

Patterns in medication incidents: A 10-yr experience of a cross-national anaesthesia incident reporting system

Global change in brain state during spontaneous and forced walk in Drosophila is composed of combined activity patterns of different neuron classes

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Stability of Spatial Smoothness and Cluster-Size Threshold Estimates in FMRI using AFNI


Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

LambdaNet: Probabilistic Type Inference using Graph Neural Networks

Deep learning in electron microscopy

Machine learning: science and technology

Toward Understanding Deep Learning Framework Bugs

Flashlight: Enabling Innovation in Tools for Machine Learning

The Linear Algebra Mapping Problem. Current State of Linear Algebra Languages and Libraries

Typesafe abstractions for tensor operations (short paper)

An exploratory study on the introduction and removal of different types of technical debt in deep learning frameworks

nuts-flow/ml: data pre-processing for deep learning

Applications of Neural Networks in Biomedical Data Analysis

irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions


A repository for learning various heap exploitation techniques.

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Automatic Techniques to Systematically Discover New Heap Exploitation Primitives

A Pattern-Based Software Testing Framework for Exploitability Evaluation of Metadata Corruption Vulnerabilities


A toolbox of vision models and algorithms based on MindSpore

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

Rethinking the Inception Architecture for Computer Vision

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

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows


DeePMD-kit: A deep learning package for many-body potential energy representation and molecular dynamics

End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended Systems

Recent advances and applications of deep learning methods in materials science

Choosing the right molecular machine learning potential

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

DeePMD-kit v2: A software package for Deep Potential models

Dissolving salt is not equivalent to applying a pressure on water

MLatom 2: An Integrative Platform for Atomistic Machine Learning

Heat transport in liquid water from first-principles and deep neural network simulations


HiBench is a big data benchmark suite.

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Knowing when you're wrong: Building fast and reliable approximate query processing systems

SIGMOD'14: PROCEEDINGS OF THE 2014 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

International Conference on Distributed Computing Systems

Spark Parameter Tuning via Trial-and-Error

Benchmarking Data Flow Systems for Scalable Machine Learning

International Conference on Management of Data

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs

DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive
  Computing Platforms

BayesPerf: minimizing performance monitoring errors using Bayesian statistics

International Conference on Architectural Support for Programming Languages and Operating Systems

A Survey of Big Data Machine Learning Applications Optimization in Cloud
  Data Centers and Networks

Experimental Performance Evaluation of Cloud-Based Analytics-as-a-Service


Traffic scenario definition and execution engine

Rethinking Closed-Loop Training for Autonomous Driving

Virtual Validation of an Automated Lane-Keeping System with an Extended Operational Design Domain

Intersection Focused Situation Coverage-Based Verification and Validation Framework for Autonomous Vehicles Implemented in CARLA

Modelling and Simulation for Autonomous Systems


Python package for graph statistics

GraSPy: Graph Statistics in Python

Valid Two-Sample Graph Testing via Optimal Transport Procrustes and
  Multiscale Graph Correlation with Applications in Connectomics

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph
  Generation

Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport


Self-Supervised Speech Pre-training and Representation Learning Toolkit

WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

SUPERB: Speech processing Universal PERformance Benchmark

Mockingjay: Unsupervised Speech Representation Learning with Deep Bidirectional Transformer Encoders

International Conference on Acoustics, Speech, and Signal Processing

TERA: Self-Supervised Learning of Transformer Encoder Representation for Speech

IEEE/ACM transactions on audio, speech, and language processing

Audio ALBERT: A Lite BERT for Self-supervised Learning of Audio
  Representation

Distilhubert: Speech Representation Learning by Layer-Wise Distillation of Hidden-Unit Bert

SUPERB-SG: Enhanced Speech processing Universal PERformance Benchmark for Semantic and Generative Capabilities

Utilizing Self-supervised Representations for MOS Prediction

PARP: Prune, Adjust and Re-Prune for Self-Supervised Speech Recognition

S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations


MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

Fast Algorithms for Convolutional Neural Networks

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

A First Look at Deep Learning Apps on Smartphones

Deep Learning on Mobile Devices - A Review

MNN: A Universal and Efficient Inference Engine

On-Device Neural Net Inference with Mobile GPUs

LFFD: A Light and Fast Face Detector for Edge Devices

MoGA: Searching Beyond MobileNetV3

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps


Parser for TOSCA Simple Profile in YAML. Mirror of code maintained at opendev.org.

Orchestrating Complex Application Architectures in Heterogeneous Clouds

Towards Semantic Detection of Smells in Cloud Infrastructure Code

Component‐aware orchestration of cloud‐based enterprise applications, from TOSCA to Docker and Kubernetes

Model-Based Cloud Resource Management with TOSCA and OCCI

RDCL 3D, a Model Agnostic Web Framework for the Design and Composition
  of NFV Services

Mantus: Putting Aspects to Work for Flexible Multi-Cloud Deployment

Zenodo (CERN European Organization for Nuclear Research)

APMEC: An Automated Provisioning Framework for Multi-access Edge
  Computing

A Declarative Modelling Framework for the Deployment and Management of
  Blockchain Applications


Apache Beam is a unified programming model for Batch and Streaming data processing.

Self-Supervised Bug Detection and Repair

Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems

On using Stack Overflow comment-edit pairs to recommend code maintenance changes

Parallel Particle Swarm Optimization Using Apache Beam

An Empirical Study on Data Leakage and Generalizability of Link
  Prediction Models for Issues and Commits

Recommending Code Understandability Improvements based on Code Reviews


Aim  — An easy-to-use & supercharged open-source experiment tracker.

Memorization Without Overfitting: Analyzing the Training Dynamics of
  Large Language Models

Scaling Laws for Generative Mixed-Modal Language Models

BARTSmiles: Generative Masked Language Models for Molecular
  Representations

Replication: Contrastive Learning and Data Augmentation in Traffic Classification Using a Flowpic Input Representation

Proceedings of the 2023 ACM on Internet Measurement Conference


A high performance implementation of HDBSCAN clustering.

Accelerated Hierarchical Density Based Clustering

Manifold learning of four-dimensional scanning transmission electron microscopy

Intent Mining from past conversations for conversational agent

XMMPZCAT: A catalogue of photometric redshifts for X-ray sources

How much does a word weigh? Weighting word embeddings for word sense induction

Growth factor signaling predicts therapy resistance mechanisms and defines neuroblastoma subtypes

The (im)possibility of strong chemical tagging

Projection Path Explorer: Exploring Visual Patterns in Projected Decision-making Paths

ACM transactions on interactive intelligent systems

Endogenous tagging of Unc-13 reveals nanocluster reorganization at active zones during presynaptic homeostatic potentiation

A Network-Based Approach to QAnon User Dynamics and Topic Diversity During the COVID-19 Infodemic


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

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

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring
  Emergent Behaviors

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM
  Agents

TPTU: Large Language Model-based AI Agents for Task Planning and Tool
  Usage

AgentTuning: Enabling Generalized Agent Abilities for LLMs

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

Agents: An Open-source Framework for Autonomous Language Agents

OpenAgents: An Open Platform for Language Agents in the Wild

Retroformer: Retrospective Large Language Agents with Policy Gradient
  Optimization


A Python package to create, run, and post-process MODFLOW-based models.


OpenMDAO repository.

Large-Scale Path-Dependent Optimization of Supersonic Aircraft

Multi-fidelity wake modelling based on Co-Kriging method

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2016)


code for reading and processing Allen Institute for Brain Science data

Phenotypic variation of transcriptomic cell types in mouse motor cortex

Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network

Gradients of functional connectivity in the mouse cortex reflect neocortical evolution

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation

Neocortical layer 4 in adult mouse differs in major cell types and circuit organization between primary sensory areas

Uncovering the Connectivity Logic of the Ventral Tegmental Area

Decontaminate Traces From Fluorescence Calcium Imaging Videos Using Targeted Non-negative Matrix Factorization

Sharing Neurophysiology Data from the Allen Brain Observatory: Lessons
  Learned


OpenQuake's Engine for Seismic Hazard and Risk Analysis

Integrating faults and past earthquakes into a probabilistic seismic hazard model for peninsular Italy

Natural hazards and earth system sciences

Integrated seismic risk assessment in Nepal

The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data


Modelica library for building and district energy systems developed within IBPSA Project 1

IBPSA Project 1: BIM/GIS and Modelica framework for building and community energy system design and operation - ongoing developments, lessons learned and challenges

SUSTAINABLE BUILT ENVIRONMENT D-A-CH CONFERENCE 2019 (SBE19 GRAZ)

Combined Optimal Design and Control of Hybrid Thermal-Electrical Distribution Grids Using Co-Simulation


ArrayFire: a general purpose GPU library.

On the impact of quantum computing technology on future developments in high-performance scientific computing

A symmetry-derived mechanism for atomic resolution imaging

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

Flashlight: Enabling Innovation in Tools for Machine Learning

A versatile software systolic execution model for GPU memory-bound kernels

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

grim: A Flexible, Conservative Scheme for Relativistic Fluid Theories

GPU-Accelerated Atomistic Energy Barrier Calculations of Skyrmion Annihilations

Characterizing and Detecting CUDA Program Bugs

"Equation missing" : A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing

Distributed and parallel sparse convex optimization for radio interferometry with PURIFY

LLAMA: The low‐level abstraction for memory access


Collective communications library with various primitives for multi-machine training.

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Deep Learning Recommendation Model for Personalization and Recommendation Systems

A Survey on Distributed Machine Learning

PyTorch Distributed: Experiences on Accelerating Data Parallel Training

CrypTen: Secure Multi-Party Computation Meets Machine Learning

A Quantitative Survey of Communication Optimizations in Distributed Deep Learning

Natural Compression for Distributed Deep Learning

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

Performance Modeling and Evaluation of Distributed Deep Learning Frameworks on GPUs

Communication-Efficient Federated Learning With Compensated Overlap-FedAvg


Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0

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

A Service-Oriented Real-Time Communication Scheme for AUTOSAR Adaptive Using OPC UA and Time-Sensitive Networking

Improving OPC UA Publish-Subscribe Mechanism over UDP with Synchronization Algorithm and Multithreading Broker Application

OPC UA Publish-Subscribe and VSOME/IP Notify-Subscribe Based Gateway Application in the Context of Car to Infrastructure Communication

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

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


header only, dependency-free deep learning framework in C++14

Practical recommendations for gradient-based training of deep
  architectures

Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems

Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing

Eyes of Things

A JIT Compiler for Neural Network Inference

ARXON: A Framework for Approximate Communication over Photonic
  Networks-on-Chip

Improving all-reduce collective operations for imbalanced process arrival patterns

The Journal of supercomputing/Journal of supercomputing

Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting

International Conference on Intelligent Transportation Systems

Optimizing Convolutional Neural Networks for Embedded Systems by Means of Neuroevolution

Theory and Practice of Natural Computing

Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep
  Neural Networks


⟁ Tendermint Core (BFT Consensus) in Go

Blockchain Consensus Protocols in the Wild

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

The latest gossip on BFT consensus.

HotStuff: BFT Consensus in the Lens of Blockchain

Cross-chain deals and adversarial commerce

Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure

Dissecting Tendermint

A Byzantine Fault-Tolerant Consensus Library for Hyperledger Fabric

Cogsworth: Byzantine View Synchronization

Blockmania: from Block DAGs to Consensus


Mirror of https://codeberg.org/karrot/karrot-frontend


OCI Image Format

The role of metadata in reproducible computational research

Reference Architecture for Running Computationally Intensive Physics-Based Digital Twins of Heavy Equipment in a Heterogeneous Execution Environment

Containerization in ATLAS Software Development and Data Production