[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

UniSim: A Neural Closed-Loop Sensor Simulator

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

NeuRAD: Neural Rendering for Autonomous Driving

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting

LightSim: Neural Lighting Simulation for Urban Scenes

Are NeRFs ready for autonomous driving? Towards closing the
  real-to-simulation gap

Multi-View Attentive Contextualization for Multi-View 3D Object Detection


Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Random Erasing Data Augmentation

Improved Regularization of Convolutional Neural Networks with Cutout

Albumentations: fast and flexible image augmentations

FDA: Fourier Domain Adaptation for Semantic Segmentation

A Survey of Deep Learning for Scientific Discovery

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

Robust deep learning-based semantic organ segmentation in hyperspectral images

Deepfake Videos in the Wild: Analysis and Detection

Unsupervised Change Detection Based on Image Reconstruction Loss

HyperionSolarNet: Solar Panel Detection from Aerial Images


Evolutionary algorithm toolbox and framework with high performance for Python

Hybridization of Evolutionary Algorithm and Deep Reinforcement Learning for Multiobjective Orienteering Optimization

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

Bi-Level Multiobjective Evolutionary Learning: A Case Study on Multitask Graph Neural Topology Search

A Comparative Visual Analytics Framework for Evaluating Evolutionary Processes in Multi-objective Optimization

Enhancing Multi-Objective Optimization with Automatic Construction of Parallel Algorithm Portfolios


The Apache Kafka C/C++ library

Programmable Event Detection for In-Band Network Telemetry

Security and privacy preserving data aggregation in cloud computing

Software-based data acquisition and processing for neutron detectors at European Spallation Source—early experience from four detector designs

Architecture of the data aggregation and streaming system for the European Spallation Source neutron instrument suite

The Boon and Bane of Cross-Signing: Shedding Light on a Common Practice in Public Key Infrastructures

A Real-Time Streaming System for Customized Network Traffic Capture


Python client API for OpenEO

Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure


Super-project for modularized Boost

Refining the r-index

A Framework of Dynamic Data Structures for String Processing

A Faster Implementation of Online Run-Length Burrows-Wheeler Transform


The Z3 Theorem Prover

Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs

IEEE Transactions on Software Engineering

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Smart Contract Security: A Software Lifecycle Perspective

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

PhISCS - A Combinatorial Approach for Sub-perfect Tumor Phylogeny Reconstruction via Integrative use of Single Cell and Bulk Sequencing Data

RustHorn: CHC-based Verification for Rust Programs

PROGRAMMING LANGUAGES AND SYSTEMS ( ESOP 2020)

SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data

ICE-Based Refinement Type Discovery for Higher-Order Functional Programs

Tools and Algorithms for Construction and Analysis of Systems

PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time


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

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

An experimental evaluation of Deep Reinforcement Learning algorithms for HVAC control


Minimum Information about any (X) Sequence” (MIxS) specification

Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications

Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability

MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms


Serial-section automated anatomy extension for ScanImage

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets

Distinct Contributions of Whisker Sensory Cortex and Tongue-Jaw Motor Cortex in a Goal-Directed Sensorimotor Transformation

Behavioral origin of sound-evoked activity in mouse visual cortex

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

Purkinje Cell Activity Determines the Timing of Sensory-Evoked Motor Initiation

Antibody stabilization for thermally accelerated deep immunostaining

An adaptable, reusable, and light implant for chronic Neuropixels probes

bioRxiv : the preprint server for biology

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

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

Tonically active GABAergic neurons in the dorsal periaqueductal gray control instinctive escape in mice


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

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

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

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

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

Journal of chemical theory and computation

Software engineering to sustain a high-performance computing scientific application: QMCPACK


YOLOv5  in PyTorch > ONNX > CoreML > TFLite

Path Aggregation Network for Instance Segmentation

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

A Forest Fire Detection System Based on Ensemble Learning

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

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

YOLO-v1 to YOLO-v8, the Rise of YOLO and Its Complementary Nature toward Digital Manufacturing and Industrial Defect Detection

Score-based diffusion models for accelerated MRI

No More Strided Convolutions or Pooling: A New CNN Building Block for Low-Resolution Images and Small Objects

Slim-neck by GSConv: a lightweight-design for real-time detector architectures

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


OpenMMLab Model Compression Toolbox and Benchmark.

DARTS: Differentiable Architecture Search

Single Path One-Shot Neural Architecture Search with Uniform Sampling

DetNAS: Backbone Search for Object Detection

Channel-wise Knowledge Distillation for Dense Prediction

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Masked Generative Distillation

Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient

Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty

Boundary and Relation Distillation for Semantic Segmentation


CodeChecker is an analyzer tooling, defect database and viewer extension for the Clang Static Analyzer and Clang Tidy

Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

LLM-Assisted Static Analysis for Detecting Security Vulnerabilities

Report on the Differential Testing of Static Analyzers

Detecting Uninitialized Variables in C++ with the Clang Static Analyzer


A faster pytorch implementation of faster r-cnn

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Rethinking the Value of Network Pruning

Graph R-CNN for Scene Graph Generation

Unbiased Mean Teacher for Cross-domain Object Detection

Co-Separating Sounds of Visual Objects

Towards Universal Object Detection by Domain Attention

Differentiable Learning-to-Normalize via Switchable Normalization

Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery

Probabilistic Object Detection: Definition and Evaluation

Pedestrian Detection in Thermal Images using Saliency Maps


IOTA Reference Implementation

On the Resilience of DAG-Based Distributed Ledgers in IoT Applications

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

International Congress on Blockchain and Applications

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

Committee selection in DAG distributed ledgers and applications

StreamNet: A DAG System with Streaming Graph Computing

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


Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia

Joint 3D facial shape reconstruction and texture completion from a single image

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

IEEE transactions on pattern analysis and machine intelligence

Evaluating effects of focal length and viewing angle in a comparison of recent face landmark and alignment methods

EURASIP Journal on Image and Video Processing


Software-Defined GPS Signal Simulator

Satellite-based communications security: A survey of threats, solutions, and research challenges

On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions

Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part I

Spotr: GPS Spoofing Detection via Device Fingerprinting

Hijacking Unmanned Aerial Vehicle by Exploiting Civil GPS Vulnerabilities Using Software-defined Radio

Relay/replay attacks on GNSS signals

Distributed and Mobile Message Level Relaying/Replaying of GNSS Signals

The International Technical Meeting of the The Institute of Navigation

Cryptography Is Not Enough: Relay Attacks on Authenticated GNSS Signals

Road Traffic Poisoning of Navigation Apps: Threats and Countermeasures

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


Multilingual text (NLP) processing toolkit

Dark Patterns at Scale: Findings from a Crawl of 11K Shopping Websites

Proceedings of the ACM on Human-Computer Interaction

We Value Your Privacy ... Now Take Some Cookies: Measuring the GDPR's Impact on Web Privacy

Proceedings 2019 Network and Distributed System Security Symposium

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

DaNE: A Named Entity Resource for Danish

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

LOME: Large Ontology Multilingual Extraction

The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation.

Sentiment Analysis by Fusing Text and Location Features of Geo-Tagged Tweets

GTCOM Neural Machine Translation Systems for WMT19

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)

Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text

Huawei's NMT Systems for the WMT 2019 Biomedical Translation Task

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)


oneAPI Threading Building Blocks (oneTBB)

Taskflow: A Lightweight Parallel and Heterogeneous Task Graph Computing System

IEEE Transactions on Parallel and Distributed Systems

Development of the CMS detector for the CERN LHC Run 3

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

International Workshop on Data Management on New Hardware

Software and computing for Run 3 of the ATLAS experiment at the LHC

Bringing heterogeneity to the CMS software framework

Data Oblivious Algorithms for Multicores

Nonparametric Continuous Sensor Registration

Extension of the INFN Tier-1 on a HPC system

Portability: A Necessary Approach for Future Scientific Software

The ATLAS Trigger System for LHC Run 3 and Trigger performance in 2022


A fast and extensible framework to connect any device with your browser and backend applications

Relativistic Digital Twin: Bringing the IoT to the Future

Governance of Autonomous Agents on the Web: Challenges and Opportunities

Applying the Web of Things Abstraction to Bluetooth Low Energy Communication

Securing SDN-Based IoT Group Communication


Application Kernel for Containers

The Serverless Computing Survey: A Technical Primer for Design Architecture

Rise of the Planet of Serverless Computing: A Systematic Review

FaaSLight: General Application-Level Cold-Start Latency Optimization for Function-as-a-Service in Serverless Computing

Service Based Virtual RAN Architecture for Next Generation Cellular Systems

Zenodo (CERN European Organization for Nuclear Research)

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

G-Fuzz: A Directed Fuzzing Framework for gVisor

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing

A fresh look at the architecture and performance of contemporary isolation platforms

Proceedings of the 22nd International Middleware Conference

Loupe: Driving the Development of OS Compatibility Layers

An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report

Hibernate Container: A Deflated Container Mode for Fast Startup and High-density Deployment in Serverless Computing


Creative Commons Attribution 4.0 International

BFO repository including source code and latest documents

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes

Applying knowledge bases to make factories smarter

The Smart City Ontology 2.0: Assessing the Components and Interdependencies of City Smartness

The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities

Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability

Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs


Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.

Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection

Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network Experimentation

Examining the Hydra: Simultaneously Shared Links in Tor and the Effects on its Performance

Proceedings on Privacy Enhancing Technologies

B-Tor: Anonymous communication system based on consortium blockchain


Canonical sources for HOL4 theorem-proving system.   Branch develop is where “mainline development” occurs; when develop passes our regression tests, master is merged forward to catch up.

TacticToe: Learning to Prove with Tactics

A Verified Certificate Checker for Finite-Precision Error Bounds in Coq and HOL4

Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic

A Mechanised Semantics for HOL with Ad-hoc Overloading

Logic Programming and Automated Reasoning

Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications

Tree Neural Networks in HOL4

Unique Solutions of Contractions, CCS, and their HOL Formalisation

Learned Provability Likelihood for Tactical Search

A Formalization of Unique Solutions of Equations in Process Algebra

Further Formalization of the Process Algebra CCS in HOL4


TensorFlow's Visualization Toolkit

fairseq S2T: Fast Speech-to-Text Modeling with fairseq

Unsupervised domain adaptation for medical imaging segmentation with self-ensembling

The Grammar of Interactive Explanatory Model Analysis

Query Processing on Tensor Computation Runtimes

Measuring Model Biases in the Absence of Ground Truth

National Conference on Artificial Intelligence

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

PyText: A Seamless Path from NLP research to production

Learning-Driven Exploration for Reinforcement Learning

Automatic Detection of Moths (Lepidoptera) with a Funnel Trap Prototype

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


SGX-LKL Library OS for running Linux applications inside of Intel SGX enclaves

AccTEE: A WebAssembly-based Two-way Sandbox for Trusted Resource Accounting

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

Using Trusted Execution Environments for Secure Stream Processing of
  Medical Data

Machine Learning with Confidential Computing: A Systematization of Knowledge

Understanding TEE Containers, Easy to Use? Hard to Trust

Isolating Real-Time Safety-Critical Embedded Systems via SGX-based Lightweight Virtualization

Walnut: A low-trust trigger-action platform

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security

Securing Big Data Scientific Workflows via Trusted Heterogeneous Environments

IEEE Transactions on Dependable and Secure Computing


A static analyzer for Java, C, C++, and Objective-C

D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis

RacerD: compositional static race detection

Proceedings of the ACM on Programming Languages

Automated Customized Bug-Benchmark Generation

FLAG: Finding Line Anomalies (in code) with Generative AI

An Algebraic Glimpse at Bunched Implications and Separation Logic

The Static Analyzer Infer in SV-COMP (Competition Contribution)

Tools and Algorithms for the Construction and Analysis of Systems

An Empirical Study of Static Analysis Tools for Secure Code Review

Understanding and Detecting Annotation-Induced Faults of Static
  Analyzers

Low-Level Bi-Abduction

The Right Prompts for the Job: Repair Code-Review Defects with Large Language Model


HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.

Advances and Open Problems in Federated Learning

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges

Survey on Fully Homomorphic Encryption, Theory, and Applications

FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data

Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning


RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.

CAGRA: Highly Parallel Graph Construction and Approximate Nearest Neighbor Search for GPUs

Fast k-NN Graph Construction by GPU based NN-Descent

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

cuSLINK: Single-linkage Agglomerative Clustering on the GPU

Parallel Top-K Algorithms on GPU: A Comprehensive Study and New Methods

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

GPU Semiring Primitives for Sparse Neighborhood Methods


Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

AirSim: High-Fidelity Visual and Physical Simulation for Autonomous Vehicles

A review of AI-enabled routing protocols for UAV networks: Trends, challenges, and future outlook

Federated Transfer Reinforcement Learning for Autonomous Driving

Attacking Vision-based Perception in End-to-End Autonomous Driving Models

A Survey on Human-aware Robot Navigation

Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies

Watch out! Motion is Blurring the Vision of Your Deep Neural Networks

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

On-board Deep-learning-based Unmanned Aerial Vehicle Fault Cause Detection and Identification

Overview of Software Agent Platforms Available in 2023


Modelica Buildings library


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

PaLM: Scaling Language Modeling with Pathways

Scaling Instruction-Finetuned Language Models

UL2: Unifying Language Learning Paradigms

TRUE: Re-evaluating Factual Consistency Evaluation

Transformer Memory as a Differentiable Search Index

Scaling Up Models and Data with  and

Confident Adaptive Language Modeling

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers


Statistical data visualization in Python

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Multiple pathways for SARS-CoV-2 resistance to nirmatrelvir

bioRxiv : the preprint server for biology

A foundation model for generalizable disease detection from retinal images

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

On the Influence of Social Bots in Online Protests

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

MADICS: A Methodology for Anomaly Detection in Industrial Control Systems

A spinal organ of proprioception for integrated motor action feedback


The Fortanix Rust Enclave Development Platform

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

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

Dynamic Binary Translation for SGX Enclaves

Binary Compatibility For SGX Enclaves


<⚡> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.

Agents: An Open-source Framework for Autonomous Language Agents

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Technical Report: Large Language Models can Strategically Deceive their Users when Put Under Pressure

Prompting Frameworks for Large Language Models: A Survey

Balancing Autonomy and Alignment: A Multi-Dimensional Taxonomy for Autonomous LLM-powered Multi-Agent Architectures

Formally Specifying the High-Level Behavior of LLM-Based Agents

Differential Privacy of Cross-Attention with Provable Guarantee


The Kubernetes Package Manager

Development of the CMS detector for the CERN LHC Run 3

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

On-demand virtual research environments using microservices

Computational Strategies for Scalable Genomics Analysis

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

International Conference on Cognitive Machine Intelligence


Machine Learning Toolkit for Kubernetes

Management of Machine Learning Lifecycle Artifacts: A Survey

Towards Data-centric Graph Machine Learning: Review and Outlook

Semi-Automated Methods for BIBFRAME Work Entity Description

Improving the Performance of Deep Learning for Wireless Localization

Deployment of ML Models using Kubeflow on Different Cloud Providers

SmartChoices: Augmenting Software with Learned Implementations


Build and share delightful machine learning apps, all in Python.  Star to support our work!

Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild

LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset

Rethinking LLM-based Preference Evaluation


A toolkit for machine learning from time series

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

A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

A Review and Evaluation of Elastic Distance Functions for Time Series Clustering

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression

aeon: a Python toolkit for learning from time series

A Dictionary-based approach to Time Series Ordinal Classification

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification


cuGraph - RAPIDS Graph Analytics Library

Performance of a geometric deep learning pipeline for HL-LHC particle tracking

Analyzing Multi-trillion Edge Graphs on Large GPU Clusters: A Case Study with PageRank

IEEE Conference on High Performance Extreme Computing

BOBA: A Parallel Lightweight Graph Reordering Algorithm with Heavyweight Implications


GBIF Integrated Publishing Toolkit (IPT)

MIReAD, a minimum information standard for reporting arthropod abundance data

A checklist recipe: making species data open and FAIR

Database : the journal of biological databases and curation

An updated checklist of the Tenebrionidae sec. Bousquet et al. 2018 of the Algodones Dunes of California, with comments on checklist data practices

Occurrences of Threatened Species included in the Third Edition of the Red Data Book of the Komi Republic (Russia)

Underwater video and still‐image dataset of fishes and other aquatic animals in Lake Biwa, Japan, observed via carp‐mounted video loggers


A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Improved Techniques for Training GANs

On the Effectiveness of Least Squares Generative Adversarial Networks

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

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

Compressed Sensing using Generative Models

VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning

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

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

PacGAN: The power of two samples in generative adversarial networks


Data validation using Python type hints

OPTIMADE, an API for exchanging materials data

MAIRA-2: Grounded Radiology Report Generation

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

HEIDI: an experiment-management platform enabling high-throughput fragment and compound screening

Acta crystallographica. Section D, Structural biology

Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software

AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories

CoRL: Environment Creation and Management Focused on System Integration


yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

Parallel Residual Bi-Fusion Feature Pyramid Network for Accurate Single-Shot Object Detection

Object Detection in Large-Scale Remote Sensing Images With a Distributed Deep Learning Framework

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Automatic Detection of Specific Constructions on a Large Scale Using Deep Learning in Very High Resolution Airborne Imagery

PFG-JOURNAL OF PHOTOGRAMMETRY REMOTE SENSING AND GEOINFORMATION SCIENCE

Automatic detection of aerial survey ground control points based on Yolov5-OBB


glmmTMB

glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

Modeling zero-inflated count data with glmmTMB

Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020

What Makes a Link Successful on Wikipedia?

Pitfalls during in silico prediction of primer specificity for eDNA surveillance

Better together? How intergroup associations affect energy balance and feeding behavior in wild bonobos

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades

Remote Sensing in Ecology and Conservation

Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries

Biases in parasite biodiversity research: why some helminth species attract more research than others

International journal for parasitology. Parasites and wildlife

Prior associations affect bumblebees’ generalization performance in a tool-selection task


Collection of comprehensive TypeScript libraries for Interaction with the Ethereum JSON RPC API and utility functions.

Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management

Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care

On the Ethereum blockchain structure: A complex networks theory perspective

Concurrency and Computation: Practice and Experience

A Blockchain-Based Application System for Product Anti-Counterfeiting

GasChecker: Scalable Analysis for Discovering Gas-Inefficient Smart Contracts

IEEE Transactions on Emerging Topics in Computing

Blockchain-Based Secure Storage Management with Edge Computing for IoT

A Blockchain Solution for Securing Real Property Transactions: A Case Study for Serbia

ISPRS International Journal of Geo-Information

Intelligent Smart Contracts for Innovative Supply Chain Management

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

IoT Registration and Authentication in Smart City Applications with Blockchain


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

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

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

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

Programmable System Call Security with eBPF

Revisiting Dockerfiles in Open Source Software Over Time

Hero: On the Chaos When PATH Meets Modules

Kliko - The Scientific Compute Container Format


Flexible DICOM conversion into structured directory layouts

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

Open and reproducible neuroimaging: From study inception to publication

A studyforrest extension, retinotopic mapping and localization of higher visual areas

Multimodal phenotypic axes of Parkinson’s disease

From Visual Perception to Aesthetic Appeal: Brain Responses to Aesthetically Appealing Natural Landscape Movies

DeepDicomSort: An Automatic Sorting Algorithm for Brain Magnetic Resonance Imaging Data

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

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach


Java 1-21 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

On the generalizability of Neural Program Models with respect to semantic-preserving program transformations

A comprehensive study of bloated dependencies in the Maven ecosystem

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

IntelliMerge: a refactoring-aware software merging technique

Proceedings of the ACM on Programming Languages

KNOD: Domain Knowledge Distilled Tree Decoder for Automated Program Repair

Learning Deep Semantics for Test Completion

QUICKAR: Automatic Query Reformulation for Concept Location using Crowdsourced Knowledge

International Conference on Automated Software Engineering

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

IEEE Transactions on Software Engineering

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

ACM Transactions on Software Engineering and Methodology


Promise based HTTP client for the browser and node.js

The significance of bug report elements

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

RAMANMETRIX: a delightful way to analyze Raman spectra

OncoThreads: Visualization of Large Scale Longitudinal Cancer Molecular Data

MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways

Customer Relationship Management for Personalized Nutrition Service

Mod2Dash: A Framework for Model-Driven Dashboards Generation

Proceedings of the ACM on human-computer interaction

Malicious Package Detection using Metadata Information

CloudBrain-NMR: An Intelligent Cloud Computing Platform for NMR Spectroscopy Processing, Reconstruction and Analysis


Object detection, 3D detection, and pose estimation using center point detection:

Objects as Points

Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

Shift Equivariance in Object Detection

Lite-FPN for Keypoint-based Monocular 3D Object Detection

Benchmarking Object Detection Deep Learning Models in Embedded Devices

Human Pose Estimation in Monocular Omnidirectional Top-View Images

Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors


LabelImg is now part of the Label Studio community. The popular image annotation tool created by Tzutalin is no longer actively being developed, but you can check out Label Studio, the open source data labeling tool for images, text, hypertext, audio, video and time-series data.

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

Computers and Electronics in Agriculture

Computing Systems for Autonomous Driving: State of the Art and Challenges

Towards Large-Scale Small Object Detection: Survey and Benchmarks

Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network

A fast accurate fine-grain object detection model based on YOLOv4 deep neural network

Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset

Tomato detection based on modified YOLOv3 framework

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

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

Fully automatic wound segmentation with deep convolutional neural networks


Multibody Dynamics Library designed for Free Floating Robots

Incremental Semiparametric Inverse Dynamics Learning

International Conference on Robotics and Automation

Simultaneous Floating-Base Estimation of Human Kinematics and Joint Torques

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

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

Predictive Whole-Body Control of Humanoid Robot Locomotion

Large-scale Kernel Methods and Applications to Lifelong Robot Learning


R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

Inference and analysis of cell-cell communication using CellChat

A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across Tissues

Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

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

Deciphering the endometrial niche of human thin endometrium at single-cell resolution

Context-aware deconvolution of cell-cell communication with Tensor-cell2cell

Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids

A human cell atlas of the pressure-induced hypertrophic heart

The injured sciatic nerve atlas (iSNAT), insights into the cellular and molecular basis of neural tissue degeneration and regeneration

Establishment of a reference single-cell RNA sequencing dataset for human pancreatic adenocarcinoma

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


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

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

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

An automatically created novel bug dataset and its validation in bug prediction

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

Extending Hierarchical Delta Debugging with Hoisting

Synthesis of Semantic Actions in Attribute Grammars

Identifying change patterns in software history

Does Code Review Promote Conformance? A Study of OpenStack Patches

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

Dynamic Slicing by On-demand Re-execution


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

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

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

Adversarial Robustness Toolbox v1.0.0

Bias and Discrimination in AI: A Cross-Disciplinary Perspective

Bias in machine learning software: why? how? what to do?

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

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

Fairway: A Way to Build Fair ML Software

Fair Bayesian Optimization

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

Conference on Fairness, Accountability and Transparency

Fairness via Representation Neutralization


Rayon: A data parallelism library for Rust

Fusion Blossom: Fast MWPM Decoders for QEC

rustworkx: A High-Performance Graph Library for Python

Temporal Regular Path Queries

Engineering Shared-Memory Parallel Shuffling to Generate Random Permutations In-Place

The Renoir Dataflow Platform: Efficient Data Processing without Complexity


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

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

TWA -- Ticket Locks Augmented with a Waiting Array


Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documentation/SubmittingPatches procedure for any of your improvements.

Continuous Integration, Delivery and Deployment: A Systematic Review on Approaches, Tools, Challenges and Practices

Principles of Dataset Versioning: Exploring the Recreation/Storage Tradeoff

How different are different diff algorithms in Git?

An image-based data-driven analysis of cellular architecture in a developing tissue

Byzantine Eventual Consistency and the Fundamental Limits of Peer-to-Peer Databases.

Inference of Static Semantics for Incomplete C Programs

Symposium on Principles of Programming Languages

A Framework for Blockchain-Based Applications

Desensitisation of Notch signalling through dynamic adaptation in the nucleus

Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

IEEE transactions on visualization and computer graphics

Analysis of function-call graphs of open-source software systems using complex network analysis

Pamukkale University Journal of Engineering Sciences


Snabb: Simple and fast packet networking

MoonGen: A Scriptable High-Speed Packet Generator

User Space Network Drivers

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

The Case for Writing Network Drivers in High-Level Programming Languages

Performance Benchmarking of State-of-the-Art Software Switches for NFV

Remote Procedure Call as a Managed System Service

Metronome: Adaptive and Precise Intermittent Packet Retrieval in DPDK

Modeling and analyzing the performance of high-speed packet I/O

A Framework for Comparative Evaluation of High-Performance Virtualized Networking Mechanisms

International Conference on Cloud Computing and Services Science


iperf3:  A TCP, UDP, and SCTP network bandwidth measurement tool

A First Look at Commercial 5G Performance on Smartphones

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

Kollaps: Decentralized and Dynamic Topology Emulation

On the benefits of the remote GPU virtualization mechanism: The rCUDA case

Concurrency and Computation: Practice and Experience

Quality of Service Provision in Fog Computing: Network-Aware Scheduling of Containers

Beyond socket options: making the Linux TCP stack truly extensible

How Fast Can We Insert? An Empirical Performance Evaluation of Apache Kafka

DRMaestro: orchestrating disaggregated resources on virtualized data-centers

Journal of Cloud Computing Advances Systems and Applications

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

Multi-Tenant Virtual GPUs for Optimising Performance of a Financial Risk Application

ThorFI: A Novel Approach for Network Fault Injection as a Service


Cryptography Toolkit

Eliminating Timing Side-Channel Leaks using Program Repair

ct-fuzz: Fuzzing for Timing Leaks

Util::Lookup: Exploiting key decoding in cryptographic libraries

Migrating Software Systems towards Post-Quantum-Cryptography -- A
  Systematic Literature Review


Ibex is a small 32 bit RISC-V CPU core, previously known as zero-riscy.

SoK: Design Tools for Side-Channel-Aware Implementations

Don't CWEAT It

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Composite Enclaves: Towards Disaggregated Trusted Execution

Specification and Verification of Side-channel Security for Open-source Processors via Leakage Contracts

Threshold Implementations in Software: Micro-architectural Leakages in Algorithms

IACR Transactions on Cryptographic Hardware and Embedded Systems

Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes

Extending the RISC-V ISA for exploring advanced reconfigurable SIMD instructions

eLIMInate: a Leakage-focused ISE for Masked Implementation

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

A Method for Comparative Analysis of Trusted Execution Environments


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

A review on outlier/anomaly detection in time series data

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

International Conference on Machine Learning and Applications

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

Continuous online sequence learning with an unsupervised neural network model

A Mathematical Formalization of Hierarchical Temporal Memory's Spatial Pooler

Neuromorphic System for Spatial and Temporal Information Processing

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

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

Toward navigation ability for autonomous mobile robots with learning from demonstration paradigm

International Journal of Advanced Robotic Systems

An empirical study of testing machine learning in the wild


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

Disentangling Adversarial Robustness and Generalization

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

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 Style Interpolation with Diffusion Models

Font Representation Learning via Paired-glyph Matching


SmartThings open-source DeviceType Handlers and SmartApps code

TAPInspector: Safety and Liveness Verification of Concurrent Trigger-Action IoT Systems

IOTA: A Framework for Analyzing System-Level Security of IoTs

A GQM Approach to Evaluation of the Quality of SmartThings Applications Using Static Analysis

Ksii Transactions on Internet and Information Systems

Towards Practical Integrity in the Smart Home with HomeEndorser

Helion: Enabling a Natural Perspective of Home Automation


COCO API - Dataset @ http://cocodataset.org/

Light-Head R-CNN: In Defense of Two-Stage Object Detector

DetNet: A Backbone network for Object Detection

Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation

Cross-Domain Adaptation for Animal Pose Estimation

Poly-YOLO: higher speed, more precise detection and instance segmentation for YOLOv3

End-to-End Referring Video Object Segmentation with Multimodal Transformers

Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization

MVTec D2S: Densely Segmented Supermarket Dataset

Nanoparticle Recognition on Scanning Probe Microscopy Images Using Computer Vision and Deep Learning

PatchPerPix for Instance Segmentation


LAVIS - A One-stop Library for Language-Vision Intelligence

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

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

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

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

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

Instruction Tuning for Large Language Models: A Survey

ViperGPT: Visual Inference via Python Execution for Reasoning

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models


Computational framework for reinforcement learning in traffic control

Benchmarks for reinforcement learning in mixed-autonomy traffic

Flow: A Modular Learning Framework for Mixed Autonomy Traffic

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion

International Conference on Intelligent Transportation Systems

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

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV

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

International Conference on Control and Automation

Reinforcement Learning Based Oscillation Dampening: Scaling up
  Single-Agent RL algorithms to a 100 AV highway field operational test


Validator for the Brain Imaging Data Structure

A 204-subject multimodal neuroimaging dataset to study language processing

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

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

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

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

Introducing MEG-MASC a high-quality magneto-encephalography dataset for evaluating natural speech processing

MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing

The BIDS Toolbox: A web service to manage brain imaging datasets

Hierarchical Event Descriptor library schema for EEG data annotation

Scalable, reproducible, and cost-effective processing of large-scale
  medical imaging datasets


sourcecode for reading sensor data


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

U-Net: Convolutional Networks for Biomedical Image Segmentation

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

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

Dual Attention Network for Scene Segmentation

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Attention U-Net: Learning Where to Look for the Pancreas


RAJA Performance Portability Layer (C++)

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

Domain-Specific Multi-Level IR Rewriting for GPU

Efficient exascale discretizations: High-order finite element methods

The international journal of high performance computing applications

Grid: OneCode and FourAPIs

Modeling of advanced accelerator concepts

Portability: A Necessary Approach for Future Scientific Software

A Theoretical Model for Global Optimization of Parallel Algorithms

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

Thicket: Seeing the Performance Experiment Forest for the Individual Run Trees

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

Resiliency in numerical algorithm design for extreme scale simulations


SciPy library main repository

SciPy 1.0: fundamental algorithms for scientific computing in Python

Programming biological models in Python using PySB

Forward Global Photometric Calibration of the Dark Energy Survey

FLEX: Unifying Evaluation for Few-Shot NLP

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

First limits on the 21 cm power spectrum during the Epoch of X-ray heating

Monthly notices of the Royal Astronomical Society

KNN-Contrastive Learning for Out-of-Domain Intent Classification

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Lags in the release, adoption, and propagation of npm vulnerability fixes

Analyzing the fine structure of distributions

Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption


The Text Encoding Initiative Guidelines

Deep encoding of etymological information in TEI

TEI and LMF crosswalks

TermITH-Eval: a French Standard-Based Resource for Keyphrase Extraction Evaluation

Lightweight Grammatical Annotation in the TEI: New Perspectives

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

From manuscript catalogues to a handbook of Syriac literature: Modeling an infrastructure for Syriaca.org

Journal of Data Mining and Digital Humanities

Analyzing and Visualizing Uncertain Knowledge: The Use of TEI Annotations in the PROVIDEDH Open Science Platform

The Digital Enhancement of a Discipline Byzantine Sigillography and Digital Humanities

Wake up, standOff!


The second version of the Kraken taxonomic sequence classification system

A simple guide to de novo transcriptome assembly and annotation

A deep learning approach to pattern recognition for short DNA sequences

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets

Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians

PuffAligner: a fast, efficient and accurate aligner based on the Pufferfish index

Zenodo (CERN European Organization for Nuclear Research)

Microbial Identification Using rRNA Operon Region: Database and Tool for Metataxonomics with Long-Read Sequence

Bioinformatic approaches for studying the microbiome of fermented food

Shotgun Metagenomics Study Suggests Alteration in Sulfur Metabolism and Oxidative Stress in Children with Autism and Improvement after Microbiota Transfer Therapy

International journal of molecular sciences

HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): a specific and comprehensive pipeline for metagenomic shotgun sequencing data analysis


A Hyperparameter Tuning Library for Keras

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

Best Practices for Scientific Research on Neural Architecture Search

Fast convolutional neural networks on FPGAs with hls4ml

Machine Learning: Science and Technology

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

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

polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

Deep Learning for Novel Antimicrobial Peptide Design

Copolymer Informatics with Multitask Deep Neural Networks

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

Journal of Computer Virology and Hacking Techniques

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

IEEE Transactions on Instrumentation and Measurement


Public repo for HF blog posts

Long-Context Language Modeling with Parallel Context Encoding

Text and data mining exceptions in the development of generative AI models: What the EU member states could learn from the Japanese "nonenjoyment" purposes?

The Journal of World Intellectual Property

Evaluating and Explaining Large Language Models for Code Using Syntactic Structures

Towards More Trustworthy and Interpretable LLMs for Code through Syntax-Grounded Explanations

DistillSeq: A Framework for Safety Alignment Testing in Large Language Models using Knowledge Distillation

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis


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

Communications and High-Precision Positioning (CHP2): Hardware Architecture, Implementation, and Validation

Implementation and Performance Analysis of a Low Resolution OFDM System Prototype with Low Cost Hardware


Open Global Glacier Model

The Open Global Glacier Model (OGGM) v1.0

Impact of frontal ablation on the ice thickness estimation of marine-terminating glaciers in Alaska

Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach

Reconstruction of Past Glacier Changes with an Ice-Flow Glacier Model: Proof of Concept and Validation


OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

A Survey of Large Language Models

Baichuan 2: Open Large-scale Language Models

MMBench: Is Your Multi-modal Model an All-around Player?

Qwen2 Technical Report

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

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

TrustLLM: Trustworthiness in Large Language Models

InternLM2 Technical Report

RULER: What's the Real Context Size of Your Long-Context Language
  Models?


A Python library for quantum programming using Quil.

Open Quantum Assembly Language

Noise-Adaptive Compiler Mappings for Noisy Intermediate-Scale Quantum Computers

Unsupervised Machine Learning on a Hybrid Quantum Computer

Overview and Comparison of Gate Level Quantum Software Platforms

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

Challenges and Opportunities of Near-Term Quantum Computing Systems

OpenQASM 3: A broader and deeper quantum assembly language

The Born supremacy: quantum advantage and training of an Ising Born machine

Open source software in quantum computing

Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments


ModSecurity is an open source, cross platform web application firewall (WAF) engine for Apache, IIS and Nginx. It has a robust event-based programming language which provides protection from a range of attacks against web applications and allows for HTTP traffic monitoring, logging and real-time analysis.

A Novel Protective Framework for Defeating HTTP-Based Denial of Service and Distributed Denial of Service Attacks

Secure cloud-based mobile apps: attack taxonomy, requirements, mechanisms, tests and automation

International Journal of Information Security

InviCloak

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains


Anti-Adblock Killer helps you keep your Ad-Blocker active, when you visit a website and it asks you to disable.

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking

A First Look at Ad-block Detection: A New Arms Race on the Web

Block the blocker: Studying the effects of Anti Ad-blocking


A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

PyOD: A Python Toolbox for Scalable Outlier Detection

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

ADBench: Anomaly Detection Benchmark

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

International Joint Conference on Neural Network

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

Do deep neural networks contribute to multivariate time series anomaly detection?

Automating Outlier Detection via Meta-Learning

LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in Commercial Buildings

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

Deep Anomaly Detection under Labeling Budget Constraints


A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data


Enterprise Stream Process Engine

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.

AccuracyTrader: Accuracy-aware Approximate Processing for Low Tail Latency and High Result Accuracy in Cloud Online Services

High Performance Processing of Streaming Data

International Conference on High Performance Computing


High performance radio data processing pipeline

A Synoptic VLBI Technique for Localizing Nonrepeating Fast Radio Bursts with CHIME/FRB

Localizing FRBs through VLBI with the Algonquin Radio Observatory 10 m Telescope

TONE: A CHIME/FRB Outrigger Pathfinder for localizations of Fast Radio Bursts using Very Long Baseline Interferometry


Ruby on Rails

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

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

New Directions in Cloud Programming

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

Backports: Change Types, Challenges and Strategies

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

Finding Regressions in Projects under Version Control Systems

GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing

License Incompatibilities in Software Ecosystems

Beyond Agile: Studying The Participatory Process in Software Development


Exporter for machine metrics

Cloud resource orchestration in the multi-cloud landscape: a systematic review of existing frameworks

Journal of Cloud Computing Advances Systems and Applications

Observability and chaos engineering on system calls for containerized applications in Docker

TEEMon: A continuous performance monitoring framework for TEEs

A model-based infrastructure for the specification and runtime execution of self-adaptive IoT architectures

FortisEDoS: A Deep Transfer Learning-empowered Economical Denial of Sustainability Detection Framework for Cloud-Native Network Slicing

IEEE Transactions on Dependable and Secure Computing

A model-based framework for IoT systems in wastewater treatment plants.

Can we run our Ethereum nodes at home?


Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Cell Detection with Star-convex Polygons

Medical Image Computing and Computer-Assisted Intervention

DynaSLAM: Tracking, Mapping, and Inpainting in Dynamic Scenes

International Conference on Robotics and Automation

Deep Semantic Segmentation of Natural and Medical Images: A Review

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl

Extracting Triangular 3D Models, Materials, and Lighting From Images

Attention Guided Low-Light Image Enhancement with a Large Scale Low-Light Simulation Dataset

Grape detection, segmentation, and tracking using deep neural networks and three-dimensional association

Computers and Electronics in Agriculture

Adapting Mask-RCNN for Automatic Nucleus Segmentation

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer


Occlum is a memory-safe, multi-process library OS for Intel SGX

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

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

Golden Grain: Building a Secure and Decentralized Model Marketplace for MLaaS

Understanding TEE Containers, Easy to Use? Hard to Trust

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security


WasmEdge is a lightweight, high-performance, and extensible WebAssembly runtime for cloud native, edge, and decentralized applications. It powers serverless apps, embedded functions, microservices, smart contracts, and IoT devices.

A Lightweight Design for Serverless Function as a Service

Characterizing and Detecting WebAssembly Runtime Bugs

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing


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

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

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

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

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

Approaching OPC UA Publish–Subscribe in the Context of UDP-Based Multi-Channel Communication and Image Transmission

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

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


Command line utility for forced alignment using Kaldi

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Acoustic and Language Based Deep Learning Approaches for Alzheimer's Dementia Detection From Spontaneous Speech

Low Latency End-to-End Streaming Speech Recognition with a Scout Network

Mega-TTS: Zero-Shot Text-to-Speech at Scale with Intrinsic Inductive Bias

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

Single-neuronal elements of speech production in humans

iEmoTTS: Toward Robust Cross-Speaker Emotion Transfer and Control for Speech Synthesis Based on Disentanglement Between Prosody and Timbre

Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

RMSSinger: Realistic-Music-Score based Singing Voice Synthesis


Rhino is an open-source implementation of JavaScript written entirely in Java

Validity Fuzzing and Parametric Generators for Effective Random Testing

SCELMo: Source Code Embeddings from Language Models

BioUML—towards a universal research platform

Automatic Root Cause Quantification for Missing Edges in JavaScript Call Graphs (Extended Version)

Generalized Coverage Criteria for Combinatorial Sequence Testing


Ethereum Proof-of-Stake Consensus Specifications

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

Survey: Sharding in Blockchains

Blockchain for Decentralized Multi-Drone to Combat COVID-19

Green-PoW: An Energy-Efficient Blockchain Proof-of-Work Consensus Algorithm

Three Attacks on Proof-of-Stake Ethereum

Sidechains and interoperability

A Decade of Blockchain: Review of the Current Status, Challenges, and Future Directions

Blockchain-Powered Collaboration in Heterogeneous Swarms of Robots

The Availability-Accountability Dilemma and its Resolution via Accountability Gadgets

End-to-End Formal Verification of Ethereum 2.0 Deposit Smart Contract


Dependabot's core logic for creating update PRs.

Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot

Empirical Analysis of Vulnerabilities Life Cycle in Golang Ecosystem


Collection of library stubs for Python, with static types

Vamsa: Automated Provenance Tracking in Data Science Scripts

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Collective Intelligence for Smarter API Recommendations in Python

PYInfer: Deep Learning Semantic Type Inference for Python Variables

Gradual Soundness: Lessons from Static Python

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


A simple, yet elegant, HTTP library.

RESCRIPt: Reproducible sequence taxonomy reference database management

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

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

PyNose: A Test Smell Detector For Python

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

GIRT-Data: Sampling GitHub Issue Report Templates

ProvLight: Efficient Workflow Provenance Capture on the Edge-to-Cloud Continuum

Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results

CoSearchAgent: A Lightweight Collaborative Search Agent with Large Language Models

A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns


functorch is JAX-like composable function transforms for PyTorch.

End-to-end symbolic regression with transformers

Equinox: neural networks in JAX via callable PyTrees and filtered transformations

Theseus: A Library for Differentiable Nonlinear Optimization

Diffusion Models for Causal Discovery via Topological Ordering

MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction with Neural ODEs

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

Generalized Schrödinger Bridge Matching

Evaluation of Differentially Constrained Motion Models for Graph-Based Trajectory Prediction

Thinking Two Moves Ahead: Anticipating Other Users Improves Backdoor Attacks in Federated Learning

Uncertainty Estimation for Computed Tomography with a Linearised Deep Image Prior


Interactive Widgets for the Jupyter Notebook

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks

AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows

Simulation and evaluation of sustainable climate trajectories for aviation

Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs

RaDMaX online: a web-based program for the determination of strain and damage profiles in irradiated crystals using X-ray diffraction

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

Proceedings of the International Astronomical Union

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

PAGURI: a user experience study of creative interaction with
  text-to-music models

Jupyter Scatter: Interactive Exploration of Large-Scale Datasets

HostPhot: global and local photometry of galaxies hosting supernovae or other transients


Cloud-native genomic dataframes and batch computing

FinnGen: Unique genetic insights from combining isolated population and national health register data

A genome-wide mutational constraint map quantified from variation in 76,156 human genomes

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Mapping and characterization of structural variation in 17,795 human genomes

Autism spectrum disorder and attention deficit hyperactivity disorder have a similar burden of rare protein-truncating variants

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

Genome-wide rare variant analysis for thousands of phenotypes in over 70,000 exomes from two cohorts

Ultra-rare disruptive and damaging mutations influence educational attainment in the general population

Insights into the genetic epidemiology of Crohn's and rare diseases in the Ashkenazi Jewish population

Genetic contributions to variation in human stature in prehistoric Europe


Community maintained fork of pdfminer - we fathom PDF

PathVQA: 30000+ Questions for Medical Visual Question Answering

The Semantic Scholar Open Data Platform

Towards Visual Question Answering on Pathology Images

Meeting of the Association for Computational Linguistics

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions

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

COVIDScholar: An automated COVID-19 research aggregation and analysis platform

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

TDJEE: A Document-Level Joint Model for Financial Event Extraction

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

A Graphical Approach to Document Layout Analysis