Machine learning on FPGAs using HLS

Fast inference of deep neural networks in FPGAs for particle physics

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Machine learning: science and technology

Fast convolutional neural networks on FPGAs with hls4ml

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Graph Neural Networks for Charged Particle Tracking on FPGAs

Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures


PlaidML is a framework for making deep learning work everywhere.

Deep metabolome: Applications of deep learning in metabolomics

Computational and structural biotechnology journal

Stripe: Tensor Compilation via the Nested Polyhedral Model

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach

Coverage-Guided Tensor Compiler Fuzzing with Joint IR-Pass Mutation


DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

A Survey on Causal Inference

DoWhy: An End-to-End Library for Causal Inference

Causality Learning: A New Perspective for Interpretable Machine Learning

Evaluation Methods and Measures for Causal Learning Algorithms

Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach

DoWhy-GCM: An extension of DoWhy for causal inference in graphical
  causal models

DoWhy: Addressing Challenges in Expressing and Validating Causal Assumptions

Causal Inference Q-Network: Toward Resilient Reinforcement Learning

CATE meets ML -- The Conditional Average Treatment Effect and Machine Learning

Training a Resilient Q-network against Observational Interference


YOLOv6: a single-stage object detection framework dedicated to industrial applications.

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

YOLOv6 v3.0: A Full-Scale Reloading

A Systematic Review of Drone Based Road Traffic Monitoring System

EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware
  Neural Network Design

A Novel YOLOv6 Object Detector for Monitoring Piling Behavior of Cage-Free Laying Hens

Fast and Non-Destructive Quail Egg Freshness Assessment Using a Thermal Camera and Deep Learning-Based Air Cell Detection Algorithms for the Revalidation of the Expiration Date of Eggs

Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach

Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision


Jupyter metapackage for installation, docs and chat

Open Education Science

Experimenting with reproducibility: a case study of robustness in bioinformatics

The organization and development of cortical interneuron presynaptic circuits are area specific

Easy-to-Use Cloud Computing for Teaching Data Science

Journal of statistics and data science education

Jupyter as Common Technology Platform for Interactive HPC Services

Proceedings of the Practice and Experience on Advanced Research Computing

Using Computational Essays to Scaffold Professional Physics Practice

Bacatá: Notebooks for DSLs, Almost for Free

The art, science, and engineering of programming

MIT SuperCloud Portal Workspace: Enabling HPC Web Application Deployment

IEEE High Performance Extreme Computing Conference

Jupyter Notebooks in Undergraduate Mobile Robotics Courses: Educational Tool and Case Study

Experimenting with reproducibility in bioinformatics


An open source python library for automated feature engineering

Techniques for Automated Machine Learning

Large Language Models for Automated Data Science: Introducing CAAFE for
  Context-Aware Automated Feature Engineering

Cardea: An Open Automated Machine Learning Framework for Electronic Health Records

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

Towards Explainable Artificial Intelligence in Banking and Financial
  Services


USB: Universal-Scale Object Detection Benchmark (BMVC 2022)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

MMDetection: Open MMLab Detection Toolbox and Benchmark

Swin Transformer V2: Scaling Up Capacity and Resolution

PVT v2: Improved baselines with Pyramid Vision Transformer

MetaFormer is Actually What You Need for Vision

ResNet strikes back: An improved training procedure in timm

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

CBNet: A Composite Backbone Network Architecture for Object Detection

Focal Modulation Networks

Scale-Equalizing Pyramid Convolution for Object Detection


DEPRECATED! Java implementation of the Ethereum yellowpaper. For JSON-RPC and other client features check Ethereum Harmony

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Smart contracts for container based video conferencing services: Architecture and implementation


This repository contains implementations and illustrative code to accompany DeepMind publications

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Learning to Simulate Complex Physics with Graph Networks

Perceiver: General Perception with Iterative Attention

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Learning Mesh-Based Simulation with Graph Networks

High-Performance Large-Scale Image Recognition Without Normalization

Multi-Object Representation Learning with Iterative Variational Inference

Perceiver IO: A General Architecture for Structured Inputs & Outputs

Are Labels Required for Improving Adversarial Robustness?

Self-Supervised MultiModal Versatile Networks


Optimization functions for Julia

Variational Quantum Circuits for Quantum State Tomography

Variational formulation for Wannier functions with entangled band structure

ITSO: a novel inverse transform sampling-based optimization algorithm for stochastic search

DRSOM: A Dimension Reduced Second-Order Method

Parametric and Non-parametric Gradient Matching for Network Inference

Robust and stochastic compliance-based topology optimization with finitely many loading scenarios

Alternating cyclic extrapolation methods for optimization algorithms

Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios


PyTorch tutorials.

Generalization and Robustness Implications in Object-Centric Learning

A Spin Glass Model for the Loss Surfaces of Generative Adversarial Networks

Stochastic In-Face Frank-Wolfe Methods for Non-Convex Optimization and Sparse Neural Network Training.

On the notion of number in humans and machines


Trust & Safety tools for working together to fight digital harms.

A Dataset of Fact-Checked Images Shared on WhatsApp During the Brazilian and Indian Elections

Adversarial Detection Avoidance Attacks: Evaluating the robustness of
  perceptual hashing-based client-side scanning

Characterising User Content on a Multi-lingual Social Network

A First Look at COVID-19 Messages on WhatsApp in Pakistan

PDQ & TMK + PDQF -- A Test Drive of Facebook's Perceptual Hashing Algorithms

Hamming Distributions of Popular Perceptual Hashing Techniques

Detecting Misinformation on WhatsApp without Breaking Encryption.

Re-purposing Perceptual Hashing based Client Side Scanning for Physical
  Surveillance

Analyzing Misinformation Claims During the 2022 Brazilian General
  Election on WhatsApp, Twitter, and Kwai


Challenge by ENECHANGE Ltd.


Distributed Asynchronous Hyperparameter Optimization in Python

CatBoost: unbiased boosting with categorical features

Analyzing Learned Molecular Representations for Property Prediction

NewsQA: A Machine Comprehension Dataset

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

Proceedings of the Python in Science Conferences

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Higgs Physics at the HL-LHC and HE-LHC

Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Benchmark and Survey of Automated Machine Learning Frameworks

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

An Emotional Analysis of False Information in Social Media and News Articles


GNU Radio – the Free and Open Software Radio Ecosystem

Broadband Digital Over-the-Air Computation for Wireless Federated Edge
  Learning

An Overview of the Drone Open-Source Ecosystem.

A DSEL for high throughput and low latency software‐defined radio on multicore CPUs

WISCANet: A Rapid Development Platform for Beyond 5G and 6G Radio System Prototyping


Statsmodels: statistical modeling and econometrics in Python

Highly accurate protein structure prediction with AlphaFold

ChainConsumer

Dataset decay and the problem of sequential analyses on open datasets

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings

A replication-linked mutational gradient drives somatic mutation accumulation and influences germline polymorphisms and genome composition in mitochondrial DNA

IO:I: A Near-Infrared Camera for the Liverpool Telescope

Loss of Imprinting in Human Placentas Is Widespread, Coordinated, and Predicts Birth Phenotypes

Detection of large-scale cloud microphysical changes within a major shipping corridor after implementation of the International Maritime Organization 2020 fuel sulfur regulations

Computational Causal Inference


Neural Network Libraries

AI Benchmark: Running Deep Neural Networks on Android Smartphones

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

Mixed Precision DNNs: All you need is a good parametrization

Differentiable Quantization of Deep Neural Networks.

Neural Network Libraries: A Deep Learning Framework Designed from
  Engineers' Perspectives

Speech Synthesis and Control Using Differentiable DSP.

Out-of-Core Training for Extremely Large-Scale Neural Networks with Adaptive Window-Based Scheduling

Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural
  Networks


Fast State-of-the-Art Tokenizers optimized for Research and Production

KLUE: Korean Language Understanding Evaluation

Making the Most of Text Semantics to Improve Biomedical Vision--Language
  Processing

UNKs Everywhere: Adapting Multilingual Language Models to New Scripts

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

An Empirical Study of Pre-trained Transformers for Arabic Information Extraction

PMI-Masking: Principled masking of correlated spans

Consistency of a Recurrent Language Model With Respect to Incomplete Decoding

Pile of Law: Learning Responsible Data Filtering from the Law and a
  256GB Open-Source Legal Dataset

Transformer-based Language Model Fine-tuning Methods for COVID-19 Fake News Detection

DeepSeek-Coder: When the Large Language Model Meets Programming -- The
  Rise of Code Intelligence


MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

Remote-sensing and radiosonde datasets collected in the San Luis Valley during the LAPSE-RATE campaign

HydroLang: An open-source web-based programming framework for hydrological sciences

An Idealized Physical Model for the Severe Convective Storm Environmental Sounding

Examining Conditions Supporting the Development of Anomalous Charge Structures in Supercell Thunderstorms in the Southeastern United States

Journal of geophysical research. Atmospheres

The Relation of Environmental Conditions With Charge Structure in Central Argentina Thunderstorms

C-Band Dual-Doppler Retrievals in Complex Terrain: Improving the Knowledge of Severe Storm Dynamics in Catalonia

Pyroconvection Classification Based on Atmospheric Vertical Profiling Correlation With Extreme Fire Spread Observations

A vital option for food security and greenhouse gases mitigation: planting elite super rice in double- to single-rice cropping fields in China

MADIA - Meteorological variables for agriculture: A dataset for the Italian area


Spring Framework

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

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

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

Refactoring Graphs: Assessing Refactoring over Time

Proactive Empirical Assessment of New Language Feature Adoption via Automated Refactoring: The Case of Java 8 Default Methods


Stable Diffusion web UI

Navigating Text-To-Image Customization:From LyCORIS Fine-Tuning to Model
  Evaluation

PromptPaint: Steering Text-to-Image Generation Through Paint Medium-like Interactions

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

The Infinite Index: Information Retrieval on Generative Text-To-Image Models

LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation

Using Human Feedback to Fine-tune Diffusion Models without Any Reward
  Model

Revisiting Permutation Symmetry for Merging Models between Different
  Datasets

4M: Massively Multimodal Masked Modeling

Diffusion Brush: A Latent Diffusion Model-based Editing Tool for
  AI-generated Images

My Art My Choice: Adversarial Protection Against Unruly AI

Sampler Scheduler for Diffusion Models


Aer is a high performance simulator for quantum circuits that includes noise models

Challenges and Opportunities of Near-Term Quantum Computing Systems

Identification of Symmetry-Protected Topological States on Noisy Quantum Computers

Bugs4Q: A Benchmark of Real Bugs for Quantum Programs

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

Error mitigated quantum circuit cutting

Quantum Correlation Generation Capability of Experimental Processes

Efficient MILP Decomposition in Quantum Computing for ReLU Network Robustness


LLM training code for Databricks foundation models

WizardMath: Empowering Mathematical Reasoning for Large Language Models
  via Reinforced Evol-Instruct

Efficient Large Language Models: A Survey

SlimPajama-DC: Understanding Data Combinations for LLM Training

Zero-Resource Hallucination Prevention for Large Language Models

PhoGPT: Generative Pre-training for Vietnamese

In-Contextual Gender Bias Suppression for Large Language Models

RoSA: Accurate Parameter-Efficient Fine-Tuning via Robust Adaptation

Model Compression and Efficient Inference for Large Language Models: A Survey


ArduPlane, ArduCopter, ArduRover, ArduSub source

Accuracy of Trajectory Tracking Based on Nonlinear Guidance Logic for Hydrographic Unmanned Surface Vessels

An Autonomous Surface Vehicle for Long Term Operations

Security and Privacy in the Emerging Cyber-Physical World: A Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

UAV-Based and WebRTC-Based Open Universal Framework to Monitor Urban and Industrial Areas

Design and implementation of low cost thrust benchmarking system (TBS) in application for small scale electric UAV propeller characterization

3D Simulation of Flight Control System for Quad Tilt Rotor UAV Based on Flightgear

IOP conference series. Earth and environmental science

The Prototype Monitoring System for Pollution Sensing and Online Visualization with the Use of a UAV and a WebRTC-Based Platform

Path Planner for Autonomous Exploration of Underground Mines by Aerial Vehicles

Improvements in learning to control perched landings

The aeronautical journal/Aeronautical journal

Designing robust quadcopter software based on a real-time partitioned operating system and formal verification techniques

Труды Института системного программирования РАН


Open source routing engine for OpenStreetMap. Use it as Java library or standalone web server.

Evaluating Origin–Destination Matrices Obtained from CDR Data

Optimization models for fair horizontal collaboration in demand-responsive transportation

Implications of the Relocation Type and Frequency for Shared Autonomous Bike Service: Comparison between the Inner and Complete City Scenarios for Magdeburg as a Case Study

Data-Driven Analytics towards Software Sustainability: The Case of Open-Source Multimedia Tools on Cultural Storytelling


A small, fast, JavaScript-based JavaScript parser

DeepBugs: a learning approach to name-based bug detection

SCELMo: Source Code Embeddings from Language Models

Geno: A Developer Tool for Authoring Multimodal Interaction on Existing Web Applications

If You've Seen One, You've Seen Them All: Leveraging AST Clustering Using MCL to Mimic Expertise to Detect Software Supply Chain Attacks.

Spinner: Automated Dynamic Command Subsystem Perturbation

You Can Run But You Can't Hide: Runtime Protection Against Malicious
  Package Updates For Node.js


The BGP swiss army knife of networking

ARTEMIS: Neutralizing BGP Hijacking within a Minute

Routing Centralization Across Domains via SDN: A Model and Emulation
  Framework for BGP Evolution

Evaluating the effect of centralization on routing convergence on a hybrid BGP-SDN emulation framework

Isolario: a Do-ut-des Approach to Improve the Appeal of BGP Route Collecting.

Supercharge me: Boost Router Convergence with SDN


Multi-user server for Jupyter notebooks

Computing Environments for Reproducibility: Capturing the "Whole Tale"

Teaching Data Science

Teaching Creative and Practical Data Science at Scale

Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks

JOVIAL: Notebook-based Astronomical Data Analysis in the Cloud

Evolution of the VISPA-project

Kooplex: collaborative data analytics portal for advancing sciences


Schema.org - schemas and supporting software

Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations

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

Git4Voc: Git-based Versioning for Collaborative Vocabulary Development

Ontologies in CLARIAH: Towards Interoperability in History, Language and
  Media

Creating a Linked Data-Friendly Metadata Application Profile for Archival Description

Lessons learned to boost a bioinformatics knowledge base reusability, the Bgee experience

A formal approach for customization of schema.org based on SHACL


OpenStack Compute (Nova). Mirror of code maintained at opendev.org.

How bugs are born: a model to identify how bugs are introduced in software components

Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities

Understanding code snippets in code reviews

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Security Defect Detection via Code Review: A Study of the OpenStack and Qt Communities


Mirror of LALSuite, please use official GitLab repository.

Black hole spectroscopy in the next decade

Gravitational-wave Merger Forecasting: Scenarios for the Early Detection and Localization of Compact-binary Mergers with Ground-based Observatories

Improved deep learning techniques in gravitational-wave data analysis

An architecture for efficient gravitational wave parameter estimation with multimodal linear surrogate models

A Note on QR-Based Model Reduction: Algorithm, Software, and Gravitational Wave Applications

Accuracy of source localization for eccentric inspiraling binary mergers using a ground-based detector network

Sub-atomic constraints on the Kerr geometry of GW150914


GFS physics for CCPP

The Common Community Physics Package (CCPP) Framework v6


OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Addressing Function Approximation Error in Actor-Critic Methods

Deep Reinforcement Learning that Matters

Deep Reinforcement Learning: An Overview

Deep Reinforcement Learning for Autonomous Driving: A Survey

Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models

An Intriguing Failing of Convolutional Neural Networks and the CoordConv Solution

Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation

Parameter Space Noise for Exploration

Quantifying Generalization in Reinforcement Learning

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


Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Personalizing Dialogue Agents: I have a dog, do you have pets too?

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Supervised Multimodal Bitransformers for Classifying Images and Text

TweepFake: About detecting deepfake tweets

Emotion Detection for Social Robots Based on NLP Transformers and an Emotion Ontology

Zero-shot Fact Verification by Claim Generation

Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

Claim Detection in Biomedical Twitter Posts

DebateSum: A large-scale argument mining and summarization dataset

Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study


Brave browser for Android, iOS, Linux, macOS, Windows.

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

Actions speak louder than words: Semi-supervised learning for browser
  fingerprinting detection

Challenges and approaches to privacy preserving post-click conversion
  prediction

There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage.

Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites


caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

Association of Systemic Lupus Erythematosus With Decreased Immunosuppressive Potential of the IgG Glycome

Arthritis & rheumatology (Hoboken, N.J.)

Global patterns and drivers of soil total phosphorus concentration

Mapping soil hydraulic properties using random-forest-based pedotransfer functions and geostatistics

A comprehensive analysis of 195 DNA methylomes reveals shared and cell-specific features of partially methylated domains

A Prediction Model of Essential Hypertension Based on Genetic and Environmental Risk Factors in Northern Han Chinese

International journal of medical sciences

Feature Interaction in Terms of Prediction Performance

Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI

Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data

Modeling Music Emotion Judgments Using Machine Learning Methods

Snapshots of human anatomy, locomotion, and behavior from Late Pleistocene footprints at Engare Sero, Tanzania


Gluon CV Toolkit

Searching for MobileNetV3

Bag of Tricks for Image Classification with Convolutional Neural Networks

ResNeSt: Split-Attention Networks

Bag of Freebies for Training Object Detection Neural Networks

Criteria for Classifying Forecasting Methods

A Comprehensive Study of Deep Video Action Recognition

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling

Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources.

SMOT: Single-Shot Multi Object Tracking


Nextstrain build for novel coronavirus SARS-CoV-2

Omicron extensively but incompletely escapes Pfizer BNT162b2 neutralization

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

Emergence of SARS-CoV-2 Omicron lineages BA.4 and BA.5 in South Africa

Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

Cryptic transmission of SARS-CoV-2 in Washington state

medRxiv : the preprint server for health sciences

RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look

bioRxiv : the preprint server for biology

Analysis of 6.4 million SARS-CoV-2 genomes identifies mutations associated with fitness

A Recurrent Mutation at Position 26340 of SARS-CoV-2 Is Associated with Failure of the E Gene Quantitative Reverse Transcription-PCR Utilized in a Commercial Dual-Target Diagnostic Assay

SARS-CoV-2 prolonged infection during advanced HIV disease evolves extensive immune escape

COVID-19 CG enables SARS-CoV-2 mutation and lineage tracking by locations and dates of interest


open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

MVSNet: Depth Inference for Unstructured Multi-view Stereo

Benchmarking 6DOF Outdoor Visual Localization in Changing Conditions

OpenVSLAM

Relative Camera Pose Estimation Using Convolutional Neural Networks

DeepV2D: Video to Depth with Differentiable Structure from Motion

LATCH: Learned Arrangements of Three Patch Codes

Efficient Non-consecutive Feature Tracking for Structure-from-Motion

Reconfiguring the Imaging Pipeline for Computer Vision

Robust Image Retrieval-based Visual Localization using Kapture

Anisotropic-Scale Junction Detection and Matching for Indoor Images

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


Lark is a parsing toolkit for Python, built with a focus on ergonomics, performance and modularity.

Explaining machine learning models with interactive natural language conversations using TalkToModel

Data on the design and operation of drones by both individuals and teams

selp: A Single-Shot Epistemic Logic Program Solver

ChoCo: a Chord Corpus and a Data Transformation Workflow for Musical Harmony Knowledge Graphs

Generation of Pseudo Code from the Python Source Code using Rule-Based Machine Translation.

The Probabilistic Termination Tool Amber

DerivBase.Ru: a Derivational Morphology Resource for Russian

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

Emora STDM: A Versatile Framework for Innovative Dialogue System Development

Grammar-Constrained Neural Semantic Parsing with LR Parsers

Meeting of the Association for Computational Linguistics

optimade-python-tools: a Python library for serving and consuming materials data via OPTIMADE APIs


ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking

SPT-Code: Sequence-to-Sequence Pre-Training for Learning Source Code
  Representations

An Automatically Created Novel Bug Dataset and its Validation in Bug Prediction

LawBreaker: An Approach for Specifying Traffic Laws and Fuzzing Autonomous Vehicles

Does Code Review Promote Conformance? A Study of OpenStack Patches

Synthesis of Semantic Actions in Attribute Grammars

Dynamic Slicing by On-demand Re-execution

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


Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

Darts: User-Friendly Modern Machine Learning for Time Series

Merlion: A Machine Learning Library for Time Series

MOSPAT: AutoML based Model Selection and Parameter Tuning for Time
  Series Anomaly Detection


Fast and Accurate ML in 3 Lines of Code

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

Fast, Accurate, and Simple Models for Tabular Data via Augmented Distillation

Model-based Asynchronous Hyperparameter and Neural Architecture Search

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Automatic Termination for Hyperparameter Optimization

Multi-objective Asynchronous Successive Halving

Transcriptome-based molecular subtypes and differentiation hierarchies improve the classification framework of acute myeloid leukemia

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

Message Authentication and Network Anomalies Detection in Vehicular Ad Hoc Networks

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

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


R toolkit for single cell genomics

Integrated analysis of multimodal single-cell data

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

Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors

SARS-CoV-2 receptor ACE2 and TMPRSS2 are primarily expressed in bronchial transient secretory cells

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

Critical Role of Type III Interferon in Controlling SARS-CoV-2 Infection in Human Intestinal Epithelial Cells

Single-Cell Sequencing of Peripheral Mononuclear Cells Reveals Distinct Immune Response Landscapes of COVID-19 and Influenza Patients

Endothelial heterogeneity across distinct vascular beds during homeostasis and inflammation

Impaired local intrinsic immunity to SARS-CoV-2 infection in severe COVID-19

Characterization of the development of the mouse cochlear epithelium at the single cell level


Accelerated deep learning R&D

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

Artificial Intelligence for Prosthetics - challenge solutions

The Springer series on challenges in machine learning

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease

Catalyst.RL: A Distributed Framework for Reproducible RL Research

Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset

Fully convolutional Siamese neural networks for buildings damage
  assessment from satellite images

Sample Efficient Ensemble Learning with Catalyst.RL

Self-supervised multimodal neuroimaging yields predictive
  representations for a spectrum of Alzheimer's phenotypes

Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures


An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

PettingZoo: Gym for Multi-Agent Reinforcement Learning

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

SuperSuit: Simple Microwrappers for Reinforcement Learning Environments

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

Learning Altruistic Behaviours in Reinforcement Learning without
  External Rewards

Diverse Policy Optimization for Structured Action Space


:zap: A Fast, Extensible Progress Bar for Python and CLI

tqdm: A Fast, Extensible Progress Meter for Python and CLI

FLEX: Unifying Evaluation for Few-Shot NLP

Understanding Rare Spurious Correlations in Neural Networks

What You See is What You Get: Principled Deep Learning via
  Distributional Generalization

MR-MOOSE: an advanced SED-fitting tool for heterogeneous multi-wavelength data sets

Monthly Notices of the Royal Astronomical Society

A Unified Framework for U-Net Design and Analysis

A DESIGN OF A DYNAMIC SITE TO INTEGRATE WEB 2.0 TOOLS IN ENGLISH AS A FOREIGN LANGUAGE IN PRIMARY EDUCATION

torchgfn: A PyTorch GFlowNet library

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Ultra-fast Model Emulation with PRISM: Analyzing the Meraxes Galaxy Formation Model

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


"Das U-Boot" Source Tree

ReZone: Disarming TrustZone with TEE Privilege Reduction

Intelligent Security Monitoring System Based on RISC-V SoC

Protecting the Integrity of IoT Sensor Data and Firmware With A Feather-Light Blockchain Infrastructure


AWS Service registry for resilient mid-tier load balancing and failover.

Circuit Breakers, Discovery, and API Gateways in Microservices

Monolithic vs. Microservice Architecture: A Performance and Scalability Evaluation

A model-driven approach for continuous performance engineering in microservice-based systems

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

Applying Model-Driven Engineering to Stimulate the Adoption of DevOps Processes in Small and Medium-Sized Development Organizations

VERCASM-CPS: Vulnerability Analysis and Cyber Risk Assessment for Cyber-Physical Systems

NDBench: Benchmarking Microservices at Scale

No Free Lunch: Microservice Practices Reconsidered in Industry

Microservice Architecture Practices and Experience: a Focused Look on
  Docker Configuration Files

Robust Contract Evolution in a TypeSafe MicroServices Architecture

The art, science, and engineering of programming

xCARE: A Development Platform for Supporting Smart and Pervasive Healthcare


Fast and flexible physics-based battery models in Python

Python Battery Mathematical Modelling (PyBaMM)

An asymptotic derivation of a single particle model with electrolyte

Implementation of Battery Digital Twin: Approach, Functionalities and Benefits

Degradation model of high-nickel positive electrodes: Effects of loss of active material and cyclable lithium on capacity fade

A computationally informed realisation algorithm for lithium-ion batteries implemented with LiiBRA.jl


Parsl - a Python parallel scripting library

Parsl: Pervasive Parallel Programming in Python

IEEE International Symposium on High-Performance Parallel Distributed Computing

A unified analysis of four cosmic shear surveys

Monthly notices of the Royal Astronomical Society


Graph theory (network) library for visualisation and analysis

The ConsensusPathDB interaction database: 2013 update

Cytoscape.js: a graph theory library for visualisation and analysis

Open source libraries and frameworks for biological data visualisation: A guide for developers

Nicotiana attenuata Data Hub (NaDH): an integrative platform for exploring genomic, transcriptomic and metabolomic data in wild tobacco

Cytoscape.js 2023 update: a graph theory library for visualization and analysis

Four drug metabolism-related subgroups of pancreatic adenocarcinoma in prognosis, immune infiltration, and gene mutation


ROS Navigation stack.  Code for finding where the robot is and how it can get somewhere else.

ROS Navigation Tuning Guide

Spatio-temporal voxel layer: A view on robot perception for the dynamic world

International journal of advanced robotic systems

LiDAR-Based GNSS Denied Localization for Autonomous Racing Cars

Learning and Executing Re-Usable Behaviour Trees From Natural Language Instruction

High-precision and robust localization system for mobile robots in complex and large-scale indoor scenes

Lignin Upconversion by Functionalization and Network Formation

A Multi-Robotic System for Environmental Cleaning

The Conversation is the Command: Interacting with Real-World Autonomous
  Robot Through Natural Language

Programming Robot Behaviors with Execution Management Functions


Paparazzi is a free and open-source hardware and software project for unmanned (air) vehicles. This is the main software repository.

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs

International Conference on Robotics and Automation

An Overview of the Drone Open-Source Ecosystem.

Collaborative target-tracking control using multiple autonomous fixed-wing UAVs with constant speeds

Understanding Bounding Functions in Safety-Critical UAV Software


Primary repository for the Trilinos Project

MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

Zenodo (CERN European Organization for Nuclear Research)

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

A Flexible, Parallel, Adaptive Geometric Multigrid Method for FEM

ACM transactions on mathematical software

Characterizing the Roles of Contributors in Open-source Scientific
  Software Projects

Task Parallel Incomplete Cholesky Factorization using 2D
  Partitioned-Block Layout

Canonical and Noncanonical Hamiltonian Operator Inference

Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems

SpDISTAL: Compiling Distributed Sparse Tensor Computations

Preconditioned least‐squares Petrov–Galerkin reduced order models

Talk to Me: A Case Study on Coordinating Expertise in Large-Scale Scientific Software Projects


Simple and Distributed Machine Learning

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications

Flexible and Scalable Deep Learning with MMLSpark

Large-Scale Intelligent Microservices

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales


Open Babel is a chemical toolbox designed to speak the many languages of chemical data.

Skin Doctor CP: Conformal Prediction of the Skin Sensitization Potential of Small Organic Molecules


21st century AD

Differentiable Programming Tensor Networks

Automatic differentiation of dominant eigensolver and its applications in quantum physics

Universal Adversarial Examples and Perturbations for Quantum Classifiers

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Differentiable Physics: A Position Piece

NeuralFMU: Presenting a Workflow for Integrating Hybrid NeuralODEs into Real-World Applications

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models

Enhancing Quantum Adversarial Robustness by Randomized Encodings

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

Symplectic Autoencoders for Model Reduction of Hamiltonian Systems


OpenMM is a toolkit for molecular simulation using high performance GPU code.

OpenMM 7: Rapid development of high performance algorithms for molecular dynamics

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques

Adaptive Ensemble Biomolecular Simulations at Scale

Path probability ratios for Langevin dynamics – exact and approximate

OpenMM 8: Molecular Dynamics Simulation with Machine Learning Potentials

Structural basis of antibody inhibition and chemokine activation of the human CC chemokine receptor 8


Font files available from Google Fonts, and a public issue tracker for all things Google Fonts

PDNet: Semantic segmentation integrated with a primal-dual network for document binarization

A Deep Factorization of Style and Structure in Fonts

De-rendering Stylized Texts

Fonts-2-Handwriting: A Seed-Augment-Train framework for universal digit classification

Scalable Font Reconstruction with Dual Latent Manifolds

TrueType Transformer: Character and Font Style Recognition in Outline Format

Typography-MNIST (TMNIST): an MNIST-Style Image Dataset to Categorize
  Glyphs and Font-Styles

Font Completion and Manipulation by Cycling Between Multi-Modality Representations

Font Representation Learning via Paired-glyph Matching

Font Style Interpolation with Diffusion Models


1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Lux: Always-on Visualization Recommendations for Exploratory Dataframe
  Workflows

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python

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

How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study

Explainability of Predictive Process Monitoring Results: Can You See My Data Issues?

OntoMerger: An Ontology Integration Library for Deduplicating and
  Connecting Knowledge Graph Nodes

Desbordante: from benchmarking suite to high-performance
  science-intensive data profiler (preprint)

VitrAI -- Applying Explainable AI in the Real World

Assessment of Self-Reported Executive Function in Patients with Irritable Bowel Syndrome Using a Machine-Learning Framework


Interactive Data Visualization in the browser, from  Python

Highly accurate protein structure prediction with AlphaFold

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

Hardware-accelerated interactive data visualization for neuroscience in Python

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects

A Review of Open Source Software Tools for Time Series Analysis

Identifying Emergent Leadership in OSS Projects Based on Communication
  Styles


Flower: A Friendly Federated Learning Framework

Communication-Efficient Learning of Deep Networks from Decentralized Data

Adaptive Federated Optimization

Model-Contrastive Federated Learning

Federated Learning on Non-IID Data Silos: An Experimental Study

FedBN: Federated Learning on Non-IID Features via Local Batch
  Normalization

Federated Learning with Personalization Layers

Flower: A Friendly Federated Learning Research Framework

HeteroFL: Computation and Communication Efficient Federated Learning for
  Heterogeneous Clients

Federated Meta-Learning with Fast Convergence and Efficient Communication

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout


The H.E.S.S. Galactic plane survey

Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015)

naima: a Python package for inference of relativistic particle energy distributions from observed nonthermal spectra

How Do Software Developers Use GitHub Actions to Automate Their Workflows?

Gammapy - A prototype for the CTA science tools

Spatial likelihood analysis for MAGIC telescope data

GitHub Actions: The Impact on the Pull Request Process

Physics Performance of the Large Size Telescope prototype of the Cherenkov Telescope Array

Gammapy - A Python package for γ-ray astronomy

Gammapy: A Python package for gamma-ray astronomy

The Future of Gamma-Ray Experiments in the MeV-EeV Range


A parallel, extensible finite element code to simulate convection in both 2D and 3D models.

Development of 3-D Rift Heterogeneity Through Fault Network Evolution

Efficient and practical Newton solvers for non-linear Stokes systems in geodynamic problems

The influence of crustal strength on rift geometry and development – Insights from 3D numerical modelling

Dynamics of the North American Plate: Large‐Scale Driving Mechanism From Far‐Field Slabs and the Interpretation of Shallow Negative Seismic Anomalies

Hindered Trench Migration Due To Slab Steepening Controls the Formation of the Central Andes

A comparison of 3-D spherical shell thermal convection results at low to moderate Rayleigh number using ASPECT (version 2.2.0) and CitcomS (version 3.3.1)

Sensitivity of horizontal surface deformation to mantle dynamics from 3D instantaneous dynamics modeling of the eastern Mediterranean region


A machine learning compiler for GPUs, CPUs, and ML accelerators

XLB: A Differentiable Massively Parallel Lattice Boltzmann Library in
  Python


Deep learning library featuring a higher-level API for TensorFlow.

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

TensorLayer: A Versatile Library for Efficient Deep Learning Development

Two-Stream RNN/CNN for Action Recognition in 3D Videos

Deep learning in electron microscopy

Machine learning: science and technology

A Tour of TensorFlow

Toward Audio Beehive Monitoring: Deep Learning vs. Standard Machine Learning in Classifying Beehive Audio Samples

CLoDSA: a tool for augmentation in classification, localization, detection, semantic segmentation and instance segmentation tasks

POBA-GA: Perturbation optimized black-box adversarial attacks via genetic algorithm

Learning Long Term Dependencies via Fourier Recurrent Units

BReG-NeXt: Facial Affect Computing Using Adaptive Residual Networks With Bounded Gradient

IEEE transactions on affective computing


A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster

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

A Container Service Chain Placement Greedy Algorithm Based on Heuristic Information

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

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


CPAchecker, the Configurable Software-Verification Platform (read-only mirror)

Replication Package for Article "Software Verification with PDR: Implementation and Empirical Evaluation of the State of the Art"

JavaSMT 3: Interacting with SMT Solvers in Java

CoVEGI: Cooperative Verification via Externally Generated Invariants

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)

Cooperative Verification via Collective Invariant Generation

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021


Multicore OCaml

Retrofitting parallelism onto OCaml

Proceedings of the ACM on programming languages

Cosmo: a concurrent separation logic for multicore OCaml

Resource Polymorphism

Veracity: Declarative Multicore Programming with Commutativity

On using VeriFast, VerCors, Plural, and KeY to check object usage


Evaluating Fuzz Testing

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Exploring C semantics and pointer provenance

Iceberg Hashing: Optimizing Many Hash-Table Criteria at Once

Tiny Pointers

Reference counting with frame limited reuse

Forward-Mode Automatic Differentiation of Compiled Programs

Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith

Future Directions for Optimizing Compilers

Leveraging Models to Reduce Test Cases in Software Repositories


Your window into the Elastic Stack

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

On the Generation of Medical Question-Answer Pairs

Scholarly knowledge graphs through structuring scholarly communication: a review

Duplicate Bug Report Detection: How Far Are We?

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

A scalable new mechanism to store, query and serve the ATLAS detector description through a REST web API

Backports

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension

Darknet Data Mining - A Canadian Cyber-crime Perspective.


Apache Flink

A comprehensive study of bloated dependencies in the Maven ecosystem

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

International Conference on Distributed Computing Systems

A comprehensive study of pseudo-tested methods

AUGER: Automatically Generating Review Comments with Pre-training Models

API Beauty is in the eye of the Clients: 2.2 Million Maven Dependencies
  reveal the Spectrum of Client-API Usages

Flink-ER: An Elastic Resource-Scheduling Strategy for Processing Fluctuating Mobile Stream Data on Flink

Phoebe: QoS-Aware Distributed Stream Processing through Anticipating Dynamic Workloads

Inline Tests

Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing.

How are We Detecting Inconsistent Method Names? An Empirical Study from
  Code Review Perspective


OpenYurt - Extending your native Kubernetes to edge(project under CNCF)

Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm


Lean 4 programming language and theorem prover

The Lean 4 Theorem Prover and Programming Language

Counting Immutable Beans: Reference Counting Optimized for Purely Functional Programming.

Tabled Typeclass Resolution.

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

‘do’ unchained: embracing local imperativity in a purely functional language (functional pearl)

Multiple-inheritance hazards in dependently-typed algebraic hierarchies


EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

Use of wind pressure coefficients to simulate natural ventilation and building energy for isolated and surrounded buildings

Multiobjective Optimization of Cement-Based Panels Enhanced with Microencapsulated Phase Change Materials for Building Energy Applications


OpenMMLab Pose Estimation Toolbox and Benchmark.

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Microsoft COCO: Common Objects in Context

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Aggregated Residual Transformations for Deep Neural Networks

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Searching for MobileNetV3


OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/

A New, Computationally Efficient "Blech Criterion" for Immortality in General Interconnects

Bayesian Optimization for Macro Placement

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route

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


OpenMMLab Pre-training Toolbox and Benchmark

Attention Is All You Need

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

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

Searching for MobileNetV3


Creative Commons Attribution 4.0 International

RISC-V Instruction Set Manual

Bridging the gap between programming languages and hardware weak memory models

Symposium on Principles of Programming Languages

Reconciling Event Structures with Modern Multiprocessors

BAX: A Bundle Adjustment Accelerator With Decoupled Access/Execute Architecture for Visual Odometry

Energy hardware and workload aware job scheduling towards interconnected HPC environments

IEEE transactions on parallel and distributed systems

FAT: An In-Memory Accelerator With Fast Addition for Ternary Weight Neural Networks

IEEE transactions on computer-aided design of integrated circuits and systems

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

Trusted Hart for Mobile RISC-V Security

CoVE: Towards Confidential Computing on RISC-V Platforms

Testing side-channel security of cryptographic implementations against
  future microarchitectures


The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud.  wolfSSL supports up to TLS 1.3!

Online Template Attacks: Revisited

IACR transactions on cryptographic hardware and embedded systems

Util::Lookup: Exploiting key decoding in cryptographic libraries

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

Remote attestation of confidential VMs using ephemeral vTPMs


Static Analyzer for Solidity and Vyper

Slither: A Static Analysis Framework for Smart Contracts

International Workshop on Emerging Trends in Software Engineering for Blockchain

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

International Conference on Software Engineering

Formal Specification and Verification of Smart Contracts for Azure
  Blockchain

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

A Framework and DataSet for Bugs in Ethereum Smart Contracts

Oracle-Supported Dynamic Exploit Generation for Smart Contracts

Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract

International Symposium on Software Reliability Engineering

A security framework for Ethereum smart contracts


Adaptive Experimentation Platform

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

HuBERT: Self-Supervised Speech Representation Learning by Masked Prediction of Hidden Units

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training

Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits

OpenBox: A Generalized Black-box Optimization Service

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

Emotion-Infused Models for Explainable Psychological Stress Detection

North American Chapter of the Association for Computational Linguistics

Video Person Re-ID: Fantastic Techniques and Where to Find Them

Wav2Vec-Aug: Improved self-supervised training with limited data


DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Deep Speech: Scaling up end-to-end speech recognition

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Common Voice: A Massively-Multilingual Speech Corpus

Robust Audio Adversarial Example for a Physical Attack

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Targeted Adversarial Examples for Black Box Audio Systems

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems

The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning

Speaker Anonymization Using X-vector and Neural Waveform Models

Universal Adversarial Perturbations for Speech Recognition Systems


stb single-file public domain libraries for C/C++

Trusted Operations on Sensor Data †


URL testing lists intended for discovering website censorship

Encrypted DNS --> Privacy? A Traffic Analysis Perspective

ICLab: A Global, Longitudinal Internet Censorship Measurement Platform

The Web is Still Small After More Than a Decade

Automated Discovery of Internet Censorship by Web Crawling

FilteredWeb: A Framework for the Automated Search-Based Discovery of Blocked URLs

Measuring and Evading Turkmenistan’s Internet Censorship

When Censorship Works: Exploring the Resilience of News Websites to Online Censorship

Augmenting Rule-based DNS Censorship Detection at Scale with Machine Learning

PTPerf: On the Performance Evaluation of Tor Pluggable Transports

A First Look At NAT64 Deployment In-The-Wild


JavaScript 3D Library.

Viewport-aware adaptive 360 video streaming using tiles for
  virtual reality

3D WebGIS: From Visualization to Analysis. An Efficient Browser-Based 3D Line-of-Sight Analysis

ISPRS international journal of geo-information

ScrollyVis: Interactive Visual Authoring of Guided Dynamic Narratives for Scientific Scrollytelling

Professional Differences: A Comparative Study of Visualization Task Performance and Spatial Ability Across Disciplines

VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis

Chemozart: a web-based 3D molecular structure editor and visualizer platform

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

THE CASE FOR LOW-COST, PERSONALIZED VISUALIZATION FOR ENHANCING NATURAL HAZARD PREPAREDNESS

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

Resolving Dilemmas Arising during Design and Implementation of Digital Repository of Heterogenic Scientific Resources

EVE-7 and FireworksWeb: The next generation event visualization tools for ROOT and CMS


Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

UNITER: UNiversal Image-TExt Representation Learning

Horovod: fast and easy distributed deep learning in TensorFlow

UNITER: Learning UNiversal Image-TExt Representations

Large-Scale Adversarial Training for Vision-and-Language Representation Learning

IntelliCode Compose: Code Generation Using Transformer

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

A Quantitative Survey of Communication Optimizations in Distributed Deep Learning

A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Large-Scale Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature for Deep Convolutional Neural Networks


Autoware - the world's leading open-source software project for autonomous driving

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

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

Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform

An Autonomous Parking System of Optimally Integrating Bidirectional Rapidly-Exploring Random Trees* and Parking-Oriented Model Predictive Control

SoK: On the Semantic AI Security in Autonomous Driving

You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous
  Vehicles Driving Frameworks

scenoRITA: Generating Less-Redundant, Safety-Critical and Motion
  Sickness-Inducing Scenarios for Autonomous Vehicles

Autonomous vehicles for micro-mobility

Detecting multi-sensor fusion errors in advanced driver-assistance systems


Privacy Badger is a browser extension that automatically learns to block invisible trackers.

Health Advertising on Facebook: Privacy & Policy Considerations

Energy Conservation with Open Source Ad Blockers

Neither Denied nor Exposed: Fixing WebRTC Privacy Leaks


An open-source C++ library developed and used at Facebook.

Concurrent Hash Tables: Fast and General?(!)

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

Malthusian Locks

StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory

Exploiting Parallelism Opportunities with Deep Learning Frameworks

An Initial Study of Two Approaches to Eliminating Out-of-Thin-Air Results

FELIX based readout of the Single-Phase ProtoDUNE detector

DAQling: an open-source data acquisition framework

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


World's fastest and most advanced password recovery utility

PassGAN: A Deep Learning Approach for Password Guessing

Generating Optimized Guessing Candidates toward Better Password Cracking from Multi-Dictionaries Using Relativistic GAN

Understanding Offline Password-Cracking Methods: A Large-Scale Empirical Study

Generative Deep Learning Techniques for Password Generation

EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry


The 3rd edition of course.fast.ai

Fine-Tuning can Distort Pretrained Features and Underperform
  Out-of-Distribution

Deep learning enables genetic analysis of the human thoracic aorta

RNN-based Pedestrian Crossing Prediction using Activity and Pose-related Features

Automatic Detection and Classification of Tick-borne Skin Lesions using Deep Learning.

The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data


GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry

International Conference on Robotics and Automation

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research.

Globally Consistent 3D LiDAR Mapping With GPU-Accelerated GICP Matching Cost Factors

Large-Scale LiDAR Consistent Mapping Using Hierarchical LiDAR Bundle Adjustment

On-Orbit Inspection of an Unknown, Tumbling Target using NASA’s Astrobee Robotic Free-Flyers

The Complex-Step Derivative Approximation on Matrix Lie Groups

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar

Locally Optimal Estimation and Control of Cable Driven Parallel Robots using Time Varying Linear Quadratic Gaussian Control

Robust Incremental Smoothing and Mapping (riSAM)


openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal
  Feature Learning

Dirty Road Can Attack: Security of Deep Learning based Automated Lane Centering under Physical-World Attack

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect

Efficient Black-box Assessment of Autonomous Vehicle Safety

Experimental Resilience Assessment of An Open-Source Driving Agent

Pacific Rim International Symposium on Dependable Computing

"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice

A Hierarchical Control System for Autonomous Driving towards Urban Challenges

A Survey on Scenario-Based Testing for Automated Driving Systems in
  High-Fidelity Simulation


Official mirror of Blender

A Neural Anthropometer Learning from Body Dimensions Computed on Human 3D Meshes

Training generative adversarial networks for optical property mapping using synthetic image data

Fast Monte Carlo Rendering via Multi-Resolution Sampling


unofficial git repo -- report bugs/issues/pull requests on https://gitlab.torproject.org/ --

RegulaTor: A Straightforward Website Fingerprinting Defense

Padding-only Defenses Add Delay in Tor

DeTorrent: An Adversarial Padding-only Traffic Analysis Defense

State Machine Frameworks for Website Fingerprinting Defenses: Maybe Not


Fast and Simple Serverless Functions for Kubernetes

FaaSten Your Decisions: Classification Framework and Technology Review of Function-as-a-Service Platforms

Serverless computing in omics data analysis and integration

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

Performance Evaluation of Serverless Edge Computing for Machine Learning Applications


⚠(OBSOLETE) Curated applications for Kubernetes

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

Portable Learning Environments for Hands-On Computational Instruction

Why is the LSST Science Platform built on Kubernetes?


The primary source code repository for Macaulay2, a system for computing in commutative algebra, algebraic geometry and related fields.

Trisecant flops, their associated K3 surfaces and the rationality of some cubic fourfolds

A package for computations with classical resultants

The journal of software for algebra and geometry

Galois/Monodromy Groups for Decomposing Minimal Problems in 3D Reconstruction

D-Modules and Holonomic Functions

On genus one fibered Calabi-Yau threefolds with 5-sections

Sums of squares in Macaulay2

Numerical homotopies from Khovanskii bases

Convex Algebraic Geometry of Curvature Operators

SIAM journal on applied algebra and geometry

Fano 3-folds from homogeneous vector bundles over Grassmannians

Polyvector fields for Fano 3-folds


Label Studio is a multi-type data labeling and annotation tool with standardized output format

Paraphrasing evades detectors of AI-generated text, but retrieval is an
  effective defense

Classification aware neural topic model for COVID-19 disinformation categorisation

On the Reliability of Watermarks for Large Language Models

Read, Attend, and Code: Pushing the Limits of Medical Codes Prediction
  from Clinical Notes by Machines

Large language models effectively leverage document-level context for
  literary translation, but critical errors persist

Semantic Image Segmentation: Two Decades of Research

OneLabeler: A Flexible System for Building Data Labeling Tools

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

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

Label Sleuth: From Unlabeled Text to a Classifier in a Few Hours

audino: A Modern Annotation Tool for Audio and Speech


cuML - RAPIDS Machine Learning Library

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

A Tensor Compiler for Unified Machine Learning Prediction Serving

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

Model Integration in Computational Biology: The Role of Reproducibility, Credibility and Utility

MisConv: Convolutional Neural Networks for Missing Data

GPU Semiring Primitives for Sparse Neighborhood Methods

Accelerating Genetic Programming using GPUs

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

Experience with PCIe streaming on FPGA for high throughput ML
  inferencing

Deep learning for quality control of surface physiographic fields using satellite Earth observations


A toolkit for making real world machine learning and data analysis applications in C++

What makes fake images detectable? Understanding properties that generalize

On the Reconstruction of Face Images from Deep Face Templates

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

International journal of computer vision

Deep learning in electron microscopy

Machine learning: science and technology

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network

Self-supervised learning for audio-visual speaker diarization

Near Perfect GAN Inversion

Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data

Towards a Reliable Face Recognition System

Proceedings of the international neural networks society


Cross-platform lib for process and system monitoring in Python

Using LSTM Neural Networks as Resource Utilization Predictors: The Case of Training Deep Learning Models on the Edge

Zenodo (CERN European Organization for Nuclear Research)

System-Status-Aware Adaptive Network for Online Streaming Video Understanding

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

Data-Juicer: A One-Stop Data Processing System for Large Language Models

On the Effectiveness of Perturbations in Generating Evasive Malware Variants

Adaptive Ensemble Methods for Tampering Detection in Automotive Aftertreatment Systems

Intelligent Proactive Fault Tolerance at the Edge through Resource Usage Prediction

Comparison of popular video conferencing apps using client-side measurements on different backhaul networks

Proceedings of the Twenty-Third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones

Ransomware Classification Framework Using the Behavioral Performance Visualization of Execution Objects

Computers, materials & continua/Computers, materials & continua (Print)


A PyTorch-based Speech Toolkit

SpeechBrain: A General-Purpose Speech Toolkit

Attention is All You Need in Speech Separation

MetricGAN+: An Improved Version of MetricGAN for Speech Enhancement

A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding

ECAPA-TDNN Embeddings for Speaker Diarization

LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech

MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only
  on noisy/ reverberated speech

Exploring Self-Attention Mechanisms for Speech Separation

Pretext Tasks selection for multitask self-supervised speech representation learning

VenoMave: Targeted Poisoning Against Speech Recognition


indy-sdk

Designing a Framework for Digital KYC Processes Built on Blockchain-Based Self-Sovereign Identity

A blockchain empowered and privacy preserving digital contact tracing platform

Towards a Blockchain-based Identity and Trust Management Framework for the IoV Ecosystem

Decentralized Cross-Network Identity Management for Blockchain Interoperation

DIIA: Blockchain-Based Decentralized Infrastructure for Internet Accountability

Extending Expressive Access Policies with Privacy Features

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


Approximate CPU Design for IoT End-Devices with Learning Capabilities


Python library for loading and using triangular meshes.

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

DDGC: Generative Deep Dexterous Grasping in Clutter

3D generation on ImageNet

Nonlinear Enhancement of Radiative Absorption by Black Carbon in Response to Particle Mixing Structure

Multi-View Mesh Reconstruction with Neural Deferred Shading

Correcting ray distortion in tomographic additive manufacturing

Achieving Minimal Heat Conductivity by Ballistic Confinement in Phononic Metalattices

On-the-fly 3D metrology of volumetric additive manufacturing

Excavation Learning for Rigid Objects in Clutter

Orienting Novel 3D Objects Using Self-Supervised Learning of Rotation Transforms


Ceph is a distributed object, block, and file storage platform

Malthusian Locks

No Provisioned Concurrency: Fast RDMA-codesigned Remote Fork for
  Serverless Computing

Disk storage at CERN

TWA -- Ticket Locks Augmented with a Waiting Array

Development effort estimation in free/open source software from activity in version control systems


Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

ExaWind: A multifidelity modeling and simulation environment for wind energy

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

Journal of parallel and distributed computing

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs

Evaluation of performance portability frameworks for the implementation of a particle-in-cell code

Performance portability of lattice Boltzmann methods for two-phase flows with phase change

Computer methods in applied mechanics and engineering

mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards

PROCEEDINGS OF P3HPC 2019: 2019 IEEE/ACM INTERNATIONAL WORKSHOP ON PERFORMANCE, PORTABILITY AND PRODUCTIVITY IN HPC (P3HPC)

Resiliency in numerical algorithm design for extreme scale simulations

Fast tree-based algorithms for DBSCAN for low-dimensional data on GPUs

High-speed turbulent flows towards the exascale: STREAmS-2 porting and
  performance

Tusas: A fully implicit parallel approach for coupled phase-field equations


Alternative firmware for ESP8266 and ESP32 based devices with easy configuration using webUI, OTA updates, automation using timers or rules, expandability and entirely local control over MQTT, HTTP, Serial or KNX. Full documentation at

Creating the Internet of Augmented Things: An Open-Source Framework to Make IoT Devices and Augmented and Mixed Reality Systems Talk to Each Other

IoT Platform for Energy Sustainability in University Campuses

Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study

Cost Oriented Humanoid Robot communication with IoT devices via MQTT and interaction with a Smart Home HUB connected devices

Person Identification with Visual Summary for a Safe Access to a Smart Home.


AMReX: Software Framework for Block Structured AMR

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver

Simulating mixed fuzzy and cold dark matter

A weighted state redistribution algorithm for embedded boundary grids

Kinetic and internal energy transfer in forced compressible turbulence

A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework

Neural Networks for Nuclear Reactions in MAESTROeX

Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver

FerroX: A GPU-accelerated, 3D phase-field simulation framework for modeling ferroelectric devices


A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

QuartzNet: Deep Automatic Speech Recognition with 1D Time-Channel
  Separable Convolutions

GatorTron: A Large Clinical Language Model to Unlock Patient Information
  from Unstructured Electronic Health Records

A Survey on Neural Speech Synthesis

NeMo: a toolkit for building AI applications using Neural Modules

BioMegatron: Larger Biomedical Domain Language Model

Correction of Automatic Speech Recognition with Transformer
  Sequence-to-sequence Model

Hi-Fi Multi-Speaker English TTS Dataset

TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context

Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition


Apache Hadoop

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

Wait for it: identifying “On-Hold” self-admitted technical debt

On preserving the behavior in software refactoring: A systematic mapping study

Probabilistic and Systematic Coverage of Consecutive Test-Method Pairs for Detecting Order-Dependent Flaky Tests

Tools and Algorithms for Construction and Analysis of Systems

Behind the scenes: On the relationship between developer experience and refactoring

On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures

Predicting technical debt from commit contents: reproduction and extension with automated feature selection

CodeEditor: Learning to Edit Source Code with Pre-trained Models

gambit -- An Open Source Name Disambiguation Tool for Version Control
  Systems

The nature of build changes


TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

Using Python for Model Inference in Deep Learning

TorchBench: Benchmarking PyTorch with High API Surface Coverage


OpenMMLab Semantic Segmentation Toolbox and Benchmark.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Deep High-Resolution Representation Learning for Visual Recognition

CCNet: Criss-Cross Attention for Semantic Segmentation

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Context Encoding for Semantic Segmentation

Unified Perceptual Parsing for Scene Understanding


A simple, decentralized dependency manager for Cocoa


HIP: C++ Heterogeneous-Compute Interface for Portability

MIOpen: An Open Source Library For Deep Learning Primitives

Exploring GPU Stream-Aware Message Passing using Triggered Operations

Preparing Ginkgo for AMD GPUs -- A Testimonial on Porting CUDA Code to
  HIP

Ginkgo—A math library designed for platform portability

Optimizing GPU Cache Policies for MI Workloads

Portability: A Necessary Approach for Future Scientific Software

COX: CUDA on X86 by Exposing Warp-Level Functions to CPUs

Lattice QCD GPU Inverters on ROCm Platform

Celeritas: GPU-accelerated particle transport for detector simulation in
  High Energy Physics experiments

VkFFT-A Performant, Cross-Platform and Open-Source GPU FFT Library


a language for fast, portable data-parallel computation

Learning to Perform Local Rewriting for Combinatorial Optimization

Rewrite Rule Inference Using Equality Saturation

ProTuner: Tuning Programs with Monte Carlo Tree Search

Optimizing Data-Intensive Computations in Existing Libraries with Split
  Annotations

Schedule Synthesis for Halide Pipelines on GPUs

ACM transactions on architecture and code optimization

Verifying and improving Halide’s term rewriting system with program synthesis

Proceedings of the ACM on programming languages

A Language for Describing Optimization Strategies

Model-Based Warp Overlapped Tiling for Image Processing Programs on GPUs

Formal Semantics for the Halide Language

A Domain-Extensible Compiler with Controllable Automation of
  Optimisations


A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

Cryptocurrency Trading: A Comprehensive Survey

Anatomy of a Stablecoin's failure: the Terra-Luna case

Ftx's Downfall and Binance's Consolidation: The Fragility of Centralized Digital Finance

Dependency Structures in Cryptocurrency Market from High to Low Frequency

Periodicity in Cryptocurrency Volatility and Liquidity


N-D labeled arrays and datasets in Python

Interventions, Where and How? Experimental Design for Causal Models at
  Scale

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

cesium: Open-Source Platform for Time-Series Inference

Exempla Gratis (E.G.): Code Examples for Free

Actions speak louder than words: Semi-supervised learning for browser
  fingerprinting detection

Scikit-spectra: Explorative Spectroscopy in Python

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Machine Learning Modeling of Aedes albopictus Habitat Suitability in the 21st Century


Style and Grammar Checker for 25+ Languages

Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation

LeSpell - A Multi-Lingual Benchmark Corpus of Spelling Errors to Develop Spellchecking Methods for Learner Language

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Dataset versus reality: Understanding model performance from the perspective of information need

Modeling Derivational Morphology in Ukrainian

International Conference on Computational Semantics


Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

Taming the Monster: A Fast and Simple Algorithm for Contextual Bandits

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation

Dynamic Matrix Factorization with Priors on Unknown Values

Optimal and Adaptive Algorithms for Online Boosting

Online Gradient Boosting

How Many Folders Do You Really Need?

International Conference on Information and Knowledge Management

Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction

Open Bandit Dataset and Pipeline: Towards Realistic and Reproducible Off-Policy Evaluation

Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?

Meeting of the Association for Computational Linguistics


A natural language modeling framework based on PyTorch

Convolutional Neural Networks for Sentence Classification

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

A Structured Self-attentive Sentence Embedding

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

Evaluating Lottery Tickets Under Distributional Shifts

First-Generation Inference Accelerator Deployment at Facebook

Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog

Empirical Methods in Natural Language Processing

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

PyText: A Seamless Path from NLP research to production

lingvis.io - A Linguistic Visual Analytics Framework

PROCEEDINGS OF THE 57TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS, (ACL 2019)


An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

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

InstructBLIP: Towards General-purpose Vision-Language Models with
  Instruction Tuning

WizardLM: Empowering Large Language Models to Follow Complex
  Instructions

mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

PromptBench: Towards Evaluating the Robustness of Large Language Models
  on Adversarial Prompts

Training Socially Aligned Language Models on Simulated Social
  Interactions

Self-attention Does Not Need O(n^2) Memory


Open Fabric Interfaces

How I learned to stop worrying about user-visible endpoints and love MPI

Proceedings of the 34th ACM International Conference on Supercomputing

Spindle: Techniques for Optimizing Atomic Multicast on RDMA

Efficient Direct-Connect Topologies for Collective Communications

MPIX Stream: An Explicit Solution to Hybrid MPI+X Programming

Proceedings of the 29th European MPI Users' Group Meeting

EESSI: A cross‐platform ready‐to‐use optimised scientific software stack


Java 1-18 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.

CURE: Code-Aware Neural Machine Translation for Automatic Program Repair

International Conference on Software Engineering

A comprehensive study of bloated dependencies in the Maven ecosystem

IntelliMerge: a refactoring-aware software merging technique

On the Robustness of Code Generation Techniques: An Empirical Study on GitHub Copilot

QUICKAR: Automatic Query Reformulation for Concept Location using
  Crowdsourced Knowledge

International Conference on Automated Software Engineering

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Testing with Fewer Resources: An Adaptive Approach to Performance-Aware Test Case Generation

IEEE transactions on software engineering

Learning Deep Semantics for Test Completion

CodeMatcher: Searching Code Based on Sequential Semantics of Important Query Words

ACM transactions on software engineering and methodology

Simplifying Deep-Learning-Based Model for Code Search.


An interpreter for Rust's mid-level intermediate representation

Stacked borrows: an aliasing model for Rust

SafeDrop: Detecting Memory Deallocation Bugs of Rust Programs via Static
  Data-Flow Analysis

A Grounded Conceptual Model for Ownership Types in Rust

An Executable Operational Semantics for Rust with the Formalization of Ownership and Borrowing

Is unsafe an Achilles' Heel? A Comprehensive Study of Safety
  Requirements in Unsafe Rust Programming


The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

Checkpointing and Migration of IoT Edge Functions

PROCEEDINGS OF THE 2ND ACM INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS '19)

The Ideal Versus the Real: Revisiting the History of Virtual Machines and Containers

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

Mitigating Docker Security Issues

Use of Docker for deployment and testing of astronomy software

Agile Network Access Control in the Container Age

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

Revisiting Dockerfiles in Open Source Software Over Time

Programmable System Call Security with eBPF

Hero: On the Chaos When PATH Meets Modules

Kliko - The Scientific Compute Container Format


Bayesian Modeling and Probabilistic Programming in Python

Probabilistic programming in Python using PyMC3

When Gaussian Process Meets Big Data: A Review of Scalable GPs

A LOFAR census of non-recycled pulsars: average profiles, dispersion measures, flux densities, and spectra

SGR-like behaviour of the repeating FRB 121102

Journal of Cosmology and Astroparticle Physics

THE DISTANCE DUALITY RELATION FROM STRONG GRAVITATIONAL LENSING

SensibleSleep: A Bayesian Model for Learning Sleep Patterns from Smartphone Events

COSMIC EVOLUTION OF BLACK HOLES AND SPHEROIDS. V. THE RELATION BETWEEN BLACK HOLE MASS AND HOST GALAXY LUMINOSITY FOR A SAMPLE OF 79 ACTIVE GALAXIES

Is the Universe transparent?

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

The GAPS programme at TNG

Discovery of the secondary eclipse of HAT-P-11 b


Google Research

DARTS: Differentiable Architecture Search

PaLM: Scaling Language Modeling with Pathways

Supervised Contrastive Learning

Efficient Neural Architecture Search via Parameter Sharing

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

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

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Stand-Alone Self-Attention in Vision Models

Rethinking Attention with Performers

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks


Aggregate results from bioinformatics analyses across many samples into a single report.

Best practices for bioinformatic characterization of neoantigens for clinical utility

Th17 reprogramming of T cells in systemic juvenile idiopathic arthritis

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Analysis pipelines for cancer genome sequencing in mice

Gfastats: conversion, evaluation and manipulation of genome sequences using assembly graphs

Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome

International journal of molecular sciences

An invasive Haemophilus influenzae serotype b infection in an Anglo-Saxon plague victim

FAK regulates IL-33 expression by controlling chromatin accessibility at c-Jun motifs

The gut-microbiota-brain axis in a Spanish population in the aftermath of the COVID-19 pandemic: microbiota composition linked to anxiety, trauma, and depression profiles

Marine Microeukaryote Metatranscriptomics: Sample Processing and Bioinformatic Workflow Recommendations for Ecological Applications


The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".

Convolutional Neural Networks on Graphs with Chebyshev Approximation,
  Revisited


X-ModalNet: A semi-supervised deep cross-modal network for classification of remote sensing data

ISPRS journal of photogrammetry and remote sensing : official publication of the International Society for Photogrammetry and Remote Sensing (ISPRS)

Correlational Neural Networks

Common Representation Learning Using Step-based Correlation Multi-Modal CNN


Decoupling Value and Policy for Generalization in Reinforcement Learning

Local Feature Swapping for Generalization in Reinforcement Learning

Rethinking Value Function Learning for Generalization in Reinforcement
  Learning

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement
  Learning


add frozen and its prediction code by using pb file

Attention Is All You Need

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

Semi-supervised Sequence Learning


Pytorch framework for doing deep learning on point clouds.

PointCNN: Convolution On ��-Transformed Points

Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds


Neural Large Neighborhood Search for the Capacitated Vehicle Routing Problem

Learning Collaborative Policies to Solve NP-hard Routing Problems


The code accompanying our ECCV'22 papers: Constructing Balance from Imbalance for Long-tailed Image Recognition

Large-Scale Long-Tailed Recognition in an Open World

Decoupling Representation and Classifier for Long-Tailed Recognition

Parametric Contrastive Learning


profile the repeat landscape in a genome

Comparative Analysis of Transposable Elements Highlights Mobilome Diversity and Evolution in Vertebrates

Insights into the evolution of Darwin’s finches from comparative analysis of the Geospiza magnirostris genome sequence

Microsporidia with Vertical Transmission Were Likely Shaped by Nonadaptive Processes


A Survey on Multi-Task Learning

Self-Paced Multi-Task Clustering

Model-Protected Multi-Task Learning


C. Hocquette and A. Cropper, Relational program synthesis with numerical reasoning, AAAI23.

Inductive logic programming at 30: a new introduction

Learning programs with magic values


Source Code for Paper "DAGAD: Data Augmentation for Graph Anomaly Detection" ICDM 2022

Semi-Supervised Classification with Graph Convolutional Networks

Graph Attention Networks


Nearest Neighbor Machine Translation

kNN-BOX: A Unified Framework for Nearest Neighbor Generation

HistAlign: Improving Context Dependency in Language Generation by Aligning with History


Inverse Dynamics Pretraining Learns Good Representations for Multitask
  Imitation

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot
  Learning


Robust bayesian online changepoint detection with model selection

An Evaluation of Change Point Detection Algorithms

Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences

Data Segmentation for Time Series Based on a General Moving Sum Approach

Online Robust and Adaptive Learning from Data Streams

Monitoring Deforestation Using Multivariate Bayesian Online Changepoint
  Detection with Outliers


Spliced read mapper for RNA-Seq

Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

The Implication of Early Chromatin Changes in X Chromosome Inactivation

A targetable LIFR−NF-κB−LCN2 axis controls liver tumorigenesis and vulnerability to ferroptosis

Comparison of Alternative Splicing Junction Detection Tools Using RNA-Seq Data

Transcriptome Differences in Porcine Alveolar Macrophages from Tongcheng and Large White Pigs in Response to Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) Infection

Proteogenomic Analysis Unveils the HLA Class I-Presented Immunopeptidome in Melanoma and EGFR-Mutant Lung Adenocarcinoma

Integrated time-series transcriptomic and metabolomic analyses reveal different inflammatory and adaptive immune responses contributing to host resistance to PRRSV

Identification of Candidate Genes for a Major Quantitative Disease Resistance Locus From Soybean PI 427105B for Resistance to Phytophthora sojae


Implementing SimCSE using KR-BERT

SimCSE: Simple Contrastive Learning of Sentence Embeddings

KLUE: Korean Language Understanding Evaluation

KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding


Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof

Advanced Convolutional Neural Network-Based Hybrid Acoustic Models for Low-Resource Speech Recognition

The first large scale collection of diverse Hausa language datasets

PronouncUR: An Urdu Pronunciation Lexicon Generator

Machine Assisted Analysis of Vowel Length Contrasts in Wolof


Bayesian active RL (BARL) and trajectory information planning (TIP)

An Experimental Design Perspective on Model-Based Reinforcement Learning

Exploration via Planning for Information about the Optimal Trajectory

Distributionally Robust Model-based Reinforcement Learning with Large
  State Spaces


《케라스로 구현하는 고급 딥러닝 알고리즘》 예제 코드

Auto-Encoding Variational Bayes

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Wasserstein GAN

Conditional Generative Adversarial Nets

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks


With this package, you can generate mixed-integer linear programming (MIP) models of trained artificial neural networks (ANNs) using the rectified linear unit (ReLU) activation function. At the moment, only TensorFlow sequential models are supported. Interfaces to either the Pyomo or Gurobi modeling environments are offered.

Deterministic Global Optimization with Artificial Neural Networks Embedded

Journal of optimization theory and applications

OMLT: Optimization & Machine Learning Toolkit

When Deep Learning Meets Polyhedral Theory: A Survey

Optimizing over trained GNNs via symmetry breaking

Physics Informed Piecewise Linear Neural Networks for Process Optimization


Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Rational Recurrences

Recurrently Controlled Recurrent Networks

Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units


Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery


Overview of the NLPCC-ICCPOL 2016 Shared Task: Chinese Word Segmentation for Micro-Blog Texts

Natural Language Understanding and Intelligent Applications

Neural Chinese Word Segmentation with Lexicon and Unlabeled Data via Posterior Regularization

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Neural Chinese Word Segmentation as Sequence to Sequence Translation


Plot an interactive circular graph to illustrate connections in a network in MATLAB.

Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri)

Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge

Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients

Development and Testing of SPIDER-NET: An Interactive Tool for Brain Connectogram Visualization, Sub-Network Exploration and Graph Metrics Quantification

Geometric Partition Entropy: Coarse-Graining a Continuous State Space

Multi-resolution Spatiotemporal Enhanced Transformer Denoising with
  Functional Diffusive GANs for Constructing Brain Effective Connectivity in
  MCI analysis


Neural Relation Understanding: neural cardinality estimators for tabular data

MADE: Masked Autoencoder for Distribution Estimation

Deep Unsupervised Cardinality Estimation

Are We Ready For Learned Cardinality Estimation?

FLAT: Fast, Lightweight and Accurate Method for Cardinality Estimation

Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation

A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation

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

Conditional Generative Model Based Predicate-Aware Query Approximation

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

ReStore -- Neural Data Completion for Relational Databases


SESF-Fuse: an unsupervised deep model for multi-focus image fusion

Benchmarking and Comparing Multi-exposure Image Fusion Algorithms

Multifocus Image Fusion Using a Sparse and Low-Rank Matrix Decomposition for Aviator’s Night Vision Goggle


Models and examples built with TensorFlow

Dynamic Routing Between Capsules

Controversial stimuli: Pitting neural networks against each other as models of human cognition

Attention routing between capsules

Capsule Networks with Max-Min Normalization

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal

Limitations of routing-by-agreement based capsule networks.

Avoiding Implementation Pitfalls of "Matrix Capsules with EM Routing" by Hinton et al

Shifting Capsule Networks from the Cloud to the Deep Edge

Fast Inference in Capsule Networks Using Accumulated Routing Coefficients.

Assessing Capsule Networks With Biased Data

Scandinavian Conference on Image Analysis