COVID-19 Italia - Monitoraggio situazione

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

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

Role of the chronic air pollution levels in the Covid-19 outbreak risk in Italy

Environmental pollution (Barking, Essex : 1987)

The Psychological Impact of the COVID-19 Outbreak on Health Professionals: A Cross-Sectional Study

Presence and infectivity of SARS-CoV-2 virus in wastewaters and rivers

A simulation of a COVID-19 epidemic based on a deterministic SEIR model

SARS-CoV-2 has been circulating in northern Italy since December 2019: Evidence from environmental monitoring

A Modified SIR Model for the COVID-19 Contagion in Italy

Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy

Coronavirus Disease 2019 Emergency and Cancer in the South of Italy: What's New for the Oncologist?

Forecasting the impact of the first wave of the COVID-19 pandemic on hospital demand and deaths for the USA and European Economic Area countries


Vlasiator - ten letters you can count on

Vlasov methods in space physics and astrophysics

Living reviews in computational astrophysics

Magnetosheath jet properties and evolution as determined by a global hybrid-Vlasov simulation

FORESAIL‐1 CubeSat Mission to Measure Radiation Belt Losses and Demonstrate Deorbiting

Journal of Geophysical Research: Space Physics

Transmission of foreshock waves through Earth's bow shock

Cavitons and spontaneous hot flow anomalies in a hybrid-Vlasov global magnetospheric simulation

Magnetotail plasma eruptions driven by magnetic reconnection and kinetic instabilities

Vlasov simulation of electrons in the context of hybrid global models: an eVlasiator approach

Non-locality of the Earth's quasi-parallel bow shock: injection of thermal protons in a hybrid-Vlasov simulation

Foreshock cavitons and spontaneous hot flow anomalies: a statistical study with a global hybrid-Vlasov simulation


A Python library for learning and evaluating knowledge graph embeddings

Complex Embeddings for Simple Link Prediction

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

Systematic integration of biomedical knowledge prioritizes drugs for repurposing

Learning to Represent Knowledge Graphs with Gaussian Embedding

International Conference on Information and Knowledge Management

Building a knowledge graph to enable precision medicine

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

Message Passing for Hyper-Relational Knowledge Graphs

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS


A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

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

Deep Reinforcement Learning

Learning Self-Game-Play Agents for Combinatorial Optimization Problems

Hyper-Parameter Sweep on AlphaZero General

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time


A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

SpeechBrain: A General-Purpose Speech Toolkit

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

DataComp: In search of the next generation of multimodal datasets

High Performance I/O For Large Scale Deep Learning

4M: Massively Multimodal Masked Modeling

Deep Lake: a Lakehouse for Deep Learning

Learning Navigational Visual Representations with Semantic Map Supervision

MMInA: Benchmarking Multihop Multimodal Internet Agents

Profiling and Improving the PyTorch Dataloader for high-latency Storage: A Technical Report

Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks


Libint: high-performance library for computing Gaussian integrals in quantum mechanics

molgw 1: Many-body perturbation theory software for atoms, molecules, and clusters

ChemiQ: A Chemistry Simulator for Quantum Computer

Real-Time Equation-of-Motion Coupled-Cluster Cumulant Green's Function Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for Many-Body Methods Infrastructure.

Computing and Compressing Electron Repulsion Integrals on FPGAs

Validation of the GreenX library time-frequency component for efficient
  GW and RPA calculations


Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Image-based table recognition: data, model, and evaluation

DocBank: A Benchmark Dataset for Document Layout Analysis

The Semantic Scholar Open Data Platform

Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document
  Understanding

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

PAWLS: PDF Annotation With Labels and Structure

Vision Grid Transformer for Document Layout Analysis

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

Multimodal Tree Decoder for Table of Contents Extraction in Document Images


Optimization of flexibility options and grid expansion for distribution grids based on PyPSA

Peak Shaving with Battery Energy Storage Systems in Distribution Grids: A Novel Approach to Reduce Local and Global Peak Loads

Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model

Distribution System Planning with Battery Storage using Multiperiod Optimal Power Flow

PROCEEDINGS OF THE 14TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE 2020 (IRES 2020)


The Hector Simple Climate Model

A simple object-oriented and open-source model for scientific and policy analyses of the global climate system – Hector v1.0

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures

Ocean acidification over the next three centuries using a simple global climate carbon-cycle model: projections and sensitivities

Supplementary material to "Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations"

A Simple Object-Oriented and Open Source Model for Scientific and Policy Analyses of the Global Carbon Cycle–Hector

HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses

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


Unleash public transport data in your Java project.


A Complete Server implementation of the OGC SensorThings API

Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities

MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API

International Conference Smart Data and Smart Cities

Thing Directory: Simple and lightweight registry of IoT device metadata

3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS

IoT Workload Emulation for Data Centers


Operator Discretization Library  https://odlgroup.github.io/odl/

Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

Stochastic Primal-Dual Hybrid Gradient Algorithm with Arbitrary Sampling and Imaging Applications

Deep Bayesian Inversion

Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images

Learned convex regularizers for inverse problems

Generalized Sinkhorn Iterations for Regularizing Inverse Problems Using Optimal Mass Transport

NiftyPET: a High-throughput Software Platform for High Quantitative Accuracy and Precision PET Imaging and Analysis

InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction

Learning to solve inverse problems using Wasserstein loss


Synthetic data generators for tabular and time-series data

Improved Training of Wasserstein GANs

Wasserstein GAN

Modeling Tabular data using Conditional GAN

On Convergence and Stability of GANs

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Generating Multi-Categorical Samples with Generative Adversarial Networks

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Task-Oriented Prediction and Communication Co-Design for Haptic Communications

Enhancing Network Intrusion Detection Performance using Generative
  Adversarial Networks


Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Deep Exploration via Bootstrapped DQN

DeepMind Control Suite

StarCraft II: A New Challenge for Reinforcement Learning


Efficient and Modular Implicit Differentiation

JAX, M.D.: A Framework for Differentiable Physics

JAX-FLUIDS: A fully-differentiable high-order computational fluid dynamics solver for compressible two-phase flows

JAX, M.D.: End-to-End Differentiable, Hardware Accelerated, Molecular Dynamics in Pure Python

A First Principles Approach for Data-Efficient System Identification of Spring-Rod Systems via Differentiable Physics Engines

Sim2Sim Evaluation of a Novel Data-Efficient Differentiable Physics Engine for Tensegrity Robots

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Proofreading mechanism for colloidal self-assembly


Python implementation of elastic-net regularized generalized linear models

Decoding of neural data using cohomological feature extraction

A detailed behavioral, videographic, and neural dataset on object recognition in mice

Active learning of cortical connectivity from two-photon imaging data


Succinct Data Structure Library 2.0

From Theory to Practice: Plug and Play with Succinct Data Structures

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Variable-Order de Bruijn Graphs

Refining the r-index

Hybrid indexes for repetitive datasets

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

GraCT: A Grammar-based Compressed Index for Trajectory Data

Grammar-Compressed Indexes with Logarithmic Search Time

CiNCT: Compression and Retrieval for Massive Vehicular Trajectories via Relative Movement Labeling

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Faster Repetition-Aware Compressed Suffix Trees based on Block Trees


Setup, customize, and control FarmBot from any device


Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

MusicLM: Generating Music From Text

AudioGen: Textually Guided Audio Generation

Simple and Controllable Music Generation

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

CodePlan: Repository-level Coding using LLMs and Planning

Masked Audio Generation using a Single Non-Autoregressive Transformer

Natural language guidance of high-fidelity text-to-speech with synthetic
  annotations

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Stack-and-Delay: a new codebook pattern for music generation

Stable Audio Open


starfish: unified pipelines for image-based transcriptomics

Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Museum of Spatial Transcriptomics

Squidpy: a scalable framework for spatial omics analysis

Hybridization-based In Situ Sequencing (HybISS): spatial transcriptomic detection in human and mouse brain tissue

The SONATA Data Format for Efficient Description of Large-Scale Network Models

Genetic Subgroups Inform on Pathobiology in Adult and Pediatric Burkitt Lymphoma


eBPF/XDP-based software framework for fast network services running in the Linux kernel.

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

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

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF


Website for the MIMIC Critical Care Database (currently version MIMIC-III)

MIMIC-III, a freely accessible critical care database

The Neutrophil Percentage-to-Albumin Ratio as a New Predictor of All-Cause Mortality in Patients with Cardiogenic Shock

Admission Serum Ionized and Total Calcium as New Predictors of Mortality in Patients with Cardiogenic Shock

Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database

Association Between Obesity and Short-And Long-Term Mortality in Patients With Acute Respiratory Distress Syndrome Based on the Berlin Definition

Performance of Sequential Organ Failure Assessment and Simplified Acute Physiology Score II for Post-Cardiac Surgery Patients in Intensive Care Unit

The Prognostic Value of Calcium in Post-Cardiovascular Surgery Patients in the Intensive Care Unit


Decentralized Privacy-Preserving Proximity Tracing -- Documents

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing

COVID-19 Contact Tracing Apps: A Stress Test for Privacy, the GDPR and Data Protection Regimes

Epione: Lightweight Contact Tracing with Strong Privacy

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study (Preprint)

Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a commuter bus

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Metamaterial-Based Reconfigurable Intelligent Surface: 3-D Meta-Atoms Controlled by Graphene Structures


Home of the WebKit project, the browser engine used by Safari, Mail, App Store and many other applications on macOS, iOS and Linux.

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

Static JavaScript Call Graphs: A Comparative Study

Hot Pixels: Frequency, Power, and Temperature Attacks on GPUs and ARM SoCs

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Hidden inheritance: an inline caching design for TypeScript performance

Proceedings of the ACM on Programming Languages


a software library containing BLAS functions written in OpenCL

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

Type-Directed Program Synthesis and Constraint Generation for Library Portability

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Performance portability through machine learning guided kernel selection in SYCL libraries

Newton–Raphson preconditioner for Krylov type solvers on GPU devices

A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications

Development of JavaScript-based deep learning platform and application to distributed training


Instruct-tune LLaMA on consumer hardware

LoRA: Low-Rank Adaptation of Large Language Models

A Survey of Large Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Aligning Large Language Models with Human: A Survey

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon


A linear optimisation model for distributed energy systems

Demystifying natural gas distribution grid decommissioning: An open-source approach to local deep decarbonization of urban neighborhoods

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

Preparing the Ecuador’s Power Sector to Enable a Large-Scale Electric Land Transport

Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination

Eco-agriculture and Renewable Energy System Concept for a Rural Community in Ghana

IOP Conference Series: Earth and Environmental Science


A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Center-based 3D Object Detection and Tracking

Categorical Depth Distribution Network for Monocular 3D Object Detection

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection


A collection of infrastructure and tools for research in neural network interpretability.

The Building Blocks of Interpretability

Feature Visualization

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Adversarial Robustness as a Prior for Learned Representations

Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

Activation Atlas

Differentiable Image Parameterizations

Leveraging Sparse Linear Layers for Debuggable Deep Networks

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents

Explainable AI for Bioinformatics: Methods, Tools, and Applications


Next Generation Water Modeling Engine and Framework Prototype


PowerSploit - A PowerShell Post-Exploitation Framework

Detecting Malicious PowerShell Commands using Deep Neural Networks

Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward

The Dangerous Combo: Fileless Malware and Cryptojacking

Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response

SoK: A Survey of Open-Source Threat Emulators

Hijacking .NET to Defend PowerShell

PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers


Sea ice dynamics in the Bransfield Strait, Antarctic Peninsula, during the past 240 years: a multi-proxy intercomparison study

Physical Dormancy Release in Medicago truncatula Seeds Is Related to Environmental Variations

Humic Acid Mitigates the Negative Effects of High Rates of Biochar Application on Microbial Activity

Utilization of a Wheat50K SNP Microarray-Derived High-Density Genetic Map for QTL Mapping of Plant Height and Grain Traits in Wheat

A genomics resource for genetics, physiology, and breeding of West African sorghum

Selection and adaptive introgression guided the complex evolutionary history of the European common bean

Reactive oxygen species are regulated by immune deficiency and Toll pathways in determining the host specificity of honeybee gut bacteria

Diverse and mobile:eccDNA‐based identification of carrot low‐copy‐numberLTRretrotransposons active in callus cultures

The Plant journal : for cell and molecular biology

The Effects of Genetic Relatedness on the Preterm Infant Gut Microbiota

Discovery of Genomic Regions and Candidate Genes Controlling Root Development Using a Recombinant Inbred Line Population in Rapeseed (Brassica napus L.)

International journal of molecular sciences


System Evaluation of the Intel Optane Byte-addressable NVM

Proceedings of the International Symposium on Memory Systems

Persistent Memory I/O Primitives

Building blocks for persistent memory

Replicating Persistent Memory Key-Value Stores with Efficient RDMA Abstraction

I/O Transit Caching for PMem-based Block Device


JSON for Modern C++

The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids

Industrial & engineering chemistry research

NetKet: A machine learning toolkit for many-body quantum systems

Molassembler: Molecular Graph Construction, Modification, and Conformer Generation for Inorganic and Organic Molecules

Journal of chemical information and modeling

STADS: Software Testing as Species Discovery

Deeply learning deep inelastic scattering kinematics

Incorporating Topological Representation in 3D City Models

ISPRS International Journal of Geo-Information

iMOKA: k-mer based software to analyze large collections of sequencing data

SAGE: a Monte Carlo simulation framework for experiments with germanium detectors

Anonymous and Confidential File Sharing over Untrusted Clouds

Symposium on Reliable Distributed Systems

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

Zenodo (CERN European Organization for Nuclear Research)


A Julia/JuMP Package for Power Network Optimization

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-phase Systems with Renewables

Statistical Learning For DC Optimal Power Flow

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems

Fast and Robust Determination of Power System Emergency Control Actions

Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations With PowerModelsITD.jl

Methodology for Multi-stage, Operations- and Uncertainty-Aware Placement and Sizing of FACTS Devices in a Large Power Transmission System


HydroMT: Automated and reproducible model building and analysis

Large-sample assessment of varying spatial resolution on the streamflow estimates of the wflow_sbm hydrological model


Easy access to official spatial data sets of Brazil in R and Python

The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil

Reemergence of yellow fever virus in southeastern Brazil, 2017-2018: what sparked the spread?

Mutation hotspots and spatiotemporal distribution of SARS-CoV-2 lineages in Brazil, February 2020-2021

Tracking the turnover of SARS-CoV-2 VOCs Gamma to Delta in a Brazilian state (Minas Gerais) with a high-vaccination status

Genomic Surveillance of SARS-CoV-2 Lineages Indicates Early Circulation of P.1 (Gamma) Variant of Concern in Southern Brazil

Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

Municipality-level measles, mumps, and rubella (MMR) vaccine coverage and deprivation in Brazil: A nationwide ecological study, 2006 to 2020

First reports of fimicolous myxomycetes (Protozoa: Amoebozoa) from Brazilian Cerrado and Pantanal biomes

An assessment of the public health surveillance strategy based on molecular testing during three major pandemic waves of COVID-19 in Brazil


A multi-voice TTS system trained with an emphasis on quality

Zero-Shot Text-to-Image Generation

Improved Denoising Diffusion Probabilistic Models

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Better speech synthesis through scaling

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Data Redaction from Conditional Generative Models

Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern?

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes

FastFit: Towards Real-Time Iterative Neural Vocoder by Replacing U-Net Encoder With Multiple STFTs


The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

Multiomics study of nonalcoholic fatty liver disease

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

Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia

StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Analysis pipelines for cancer genome sequencing in mice

Whole genome sequencing delineates regulatory, copy number, and cryptic splice variants in early onset cardiomyopathy

Genetic variants associated with platelet count are predictive of human disease and physiological markers

A truncating mutation in EPOR leads to hypo-responsiveness to erythropoietin with normal haemoglobin


A tool to collect data for OpenAQ platform.


Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Highly accurate protein structure prediction with AlphaFold

Geometry-enhanced molecular representation learning for property prediction

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle

GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling

LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction


An ecosystem water balance simulation model


Python module that makes working with XML feel like you are working with JSON

RESCRIPt: Reproducible sequence taxonomy reference database management

TypeLoader2: Automated submission of novel HLA and killer‐cell immunoglobulin‐like receptor alleles in full length

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

On the Evolution of A.I. and Machine Learning: Towards a Meta-level Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences

C2: Co-design of Robots via Concurrent-Network Coupling Online and Offline Reinforcement Learning


A proof-of-concept tool for generating payloads that exploit unsafe Java object deserialization.

ODDFuzz: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing

An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities

ACM Transactions on Software Engineering and Methodology

Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation

Runtime Prevention of Deserialization Attacks

Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results

On the Security Blind Spots of Software Composition Analysis


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

Deep Reinforcement Learning: An Overview

A Survey of Deep Reinforcement Learning in Video Games

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

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

Deep Reinforcement Learning from Policy-Dependent Human Feedback


DCC/UC3 collaboration for a data management planning tool

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

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

International Journal of Digital Curation

Application Profile for Machine-Actionable Data Management Plans

A Landscape Survey of ActiveDMPs

"You say potato, I say potato" - Mapping Digital Preservation and Research Data Management Concepts towards Collective Curation and Preservation Strategies


Python implementation of the Open Charge Point Protocol (OCPP).

A Real-Time Cosimulation Testbed for Electric Vehicle Charging and Smart Grid Security


Deep Reinforcement Learning for Keras.

Dopamine: A Research Framework for Deep Reinforcement Learning

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Reinforcement Learning with Perturbed Rewards

d3rlpy: An Offline Deep Reinforcement Learning Library

MushroomRL: Simplifying Reinforcement Learning Research

Ensemble-Based Deep Reinforcement Learning for Chatbots

AllenAct: A Framework for Embodied AI Research

DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM

Learning to Unknot

Optimal Attacks on Reinforcement Learning Policies


Transformer related optimization, including BERT, GPT

Prefix-Tuning: Optimizing Continuous Prompts for Generation

GLM-130B: An Open Bilingual Pre-trained Model

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Challenges and Applications of Large Language Models

Factuality Enhanced Language Models for Open-Ended Text Generation

Learned Token Pruning for Transformers

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models


T.J. Watson Libraries for Analysis, with frontends for Java, Android, and JavaScript, and may common static program analyses

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

A large-scale empirical comparison of static and dynamic test case prioritization techniques

How Do Static and Dynamic Test Case Prioritization Techniques Perform on Modern Software Systems? An Extensive Study on GitHub Projects

IEEE Transactions on Software Engineering

Assessing Test Case Prioritization on Real Faults and Mutants

Ariadne: analysis for machine learning programs

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

Static JavaScript Call Graphs: A Comparative Study

Example-Based Vulnerability Detection and Repair in Java Code

Optimal and Perfectly Parallel Algorithms for On-demand Data-Flow Analysis

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture


gnark is a fast zk-SNARK library that offers a high-level API to design circuits. The library is open source and developed under the Apache 2.0 license

Non-Interactive Zero-Knowledge for Blockchain: A Survey

Speeding Up Multi-Scalar Multiplication over Fixed Points Towards Efficient zkSNARKs

IACR Transactions on Cryptographic Hardware and Embedded Systems


WebGL protein viewer

NGL Viewer: a web application for molecular visualization

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Developing novel methods to image and visualize 3D genomes

Web3DMol: interactive protein structure visualization based on WebGL

3D‐e‐Chem: Structural Cheminformatics Workflows for Computer‐Aided Drug Discovery

Voronoia 4-ever

Twelve Elements of Visualization and Analysis for Tertiary and Quaternary Structure of Biological Molecules


Synthetic data generation for tabular data

On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks

A Unified Framework for Quantifying Privacy Risk in Synthetic Data

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Sequential Models in the Synthetic Data Vault

CTTGAN: Traffic Data Synthesizing Scheme Based on Conditional GAN

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Generative Modeling of Complex Data

TRIAGE: Characterizing and auditing training data for improved regression

Quantifying and Mitigating Privacy Risks for Tabular Generative Models


Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.

Distributed Deep Learning in Open Collaborations

Moshpit SGD: Communication-Efficient Decentralized Training on Heterogeneous Unreliable Devices

Secure Distributed Training at Scale

Training Transformers Together

How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study

ATOM: Asynchronous Training of Massive Models for Deep Learning in a
  Decentralized Environment


PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity

Characterizing the Efficiency of Graph Neural Network Frameworks with a Magnifying Glass


The official Android app for OneBusAway

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


A fast compressor/decompressor

FIRE6: Feynman Integral REduction with modular arithmetic

In-memory database acceleration on FPGAs: a survey

3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning

Massively-Parallel Lossless Data Decompression

Data Lakes: A Survey of Functions and Systems

Data lake concept and systems: a survey.

The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures

IEEE Transactions on Parallel and Distributed Systems

A practical approach to storage and retrieval of high-frequency physiological signals

Liquid Cloud Storage

Order-Preserving Key Compression for In-Memory Search Trees


A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.

Test Set Diameter: Quantifying the Diversity of Sets of Test Cases

A Low-Cost, Flexible and Portable Volumetric Capturing System

Signal-Image Technology and Internet-Based Systems

Interpretation-enabled Software Reuse Detection Based on a Multi-Level Birthmark Model

LiDetector: License Incompatibility Detection for Open Source Software

Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods

ROOT I/O compression algorithms and their performance impact within Run 3


A FPGA friendly 32 bit RISC-V CPU implementation

RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography

ISA Extensions for Finite Field Arithmetic

Parameterized Hardware Accelerators for Lattice-Based Cryptography and Their Application to the HW/SW Co-Design of qTESLA

RVCoreP : An optimized RISC-V soft processor of five-stage pipelining

IEICE Transactions on Information and Systems

Building Your Own Trusted Execution Environments Using FPGA

A trigonometric hardware acceleration in 32-bit RISC-V microcontroller with custom instruction

Low-power high-performance 32-bit RISC-V microcontroller on 65-nm silicon-on-thin-BOX (SOTB)

A portable and Linux capable RISC-V computer system in Verilog HDL

RVCoreP-32IM: An effective architecture to implement mul/div instructions for five stage RISC-V soft processors

Yet another Improvement of Plantard Arithmetic for Faster Kyber on Low-end 32-bit IoT Devices


Self-driving car simulator for the Duckietown universe

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

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

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

International Joint Conference on Neural Network

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents

OpenPodcar: an Open Source Vehicle for Self-Driving Car Research

'Put the Car on the Stand': SMT-based Oracles for Investigating Decisions

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles and Robot Swarms

On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents


Parflow is an open-source parallel watershed flow model.

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

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

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

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

Why diffusion‐based preconditioning of Richards equation works: Spectral analysis and computational experiments at very large scale


Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

ChatDev: Communicative Agents for Software Development

Experiential Co-Learning of Software-Developing Agents

Scaling Large-Language-Model-based Multi-Agent Collaboration

Iterative Experience Refinement of Software-Developing Agents

Multi-Agent Software Development through Cross-Team Collaboration

Experimenting a New Programming Practice with LLMs


Hybrid Systems Optimization and Performance Platform.

Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density


Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

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

Towards rational computational peptide design

OpenProteinSet: Training data for structural biology at scale

CBP60-DB: An AlphaFold-predicted plant kingdom-wide database of the CALMODULIN-BINDING PROTEIN 60 (CBP60) protein family with a novel structural clustering algorithm

Dissecting AlphaFold’s Capabilities with Limited Sequence Information

Identification and Validation of Magnolol Biosynthesis Genes in Magnolia officinalis


LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

InternLM2 Technical Report

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

A Survey on Efficient Inference for Large Language Models

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM
  Serving

LLM as a System Service on Mobile Devices

DevBench: A Comprehensive Benchmark for Software Development

NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window?

SmoothQuant+: Accurate and Efficient 4-bit Post-Training WeightQuantization for LLM

Towards Vision-Language Geo-Foundation Model: A Survey


High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

Distributed Prioritized Experience Replay

PettingZoo: Gym for Multi-Agent Reinforcement Learning

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and Benchmarking

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Robust Policy Optimization in Deep Reinforcement Learning

Efficient Offline Policy Optimization with a Learned Model


Hierarchical Engine for Large-scale Infrastructure Co-Simulation (HELICS)

Improving primary frequency response in networked microgrid operations using multilayer perceptron-driven reinforcement learning


Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.

The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems

Signatures of few-body resonances in finite volume

EDRIXS: An open source toolkit for simulating spectra of resonant inelastic x-ray scattering

Exact diagonalization library for quantum electron models

On the role of rotation-vibration coupling in the spectra of ozone isotopomers

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

Superharmonic instability of stokes waves

An open tool based on lifex for myofibers generation in cardiac computational models

A partitioned shift-without-invert algorithm to improve parallel eigensolution efficiency in real-space electronic transport


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

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

Computers and Electronics in Agriculture

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

Adapting Mask-RCNN for Automatic Nucleus Segmentation

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


Gaussian Process Optimization using GPy

A Tutorial on Bayesian Optimization

AutoML: A survey of the state-of-the-art

Batch Bayesian Optimization via Local Penalization

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

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

JEDI-net: a jet identification algorithm based on interaction networks

Data Augmentation of Spectral Data for Convolutional Neural Network (CNN) Based Deep Chemometrics

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning

Greed Is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation

ACM Transactions on Evolutionary Learning and Optimization


Metasploitable3 is a VM that is built from the ground up with a large amount of security vulnerabilities.

TON_IoT Telemetry Dataset: A New Generation Dataset of IoT and IIoT for Data-Driven Intrusion Detection Systems

Federated TON_IoT Windows Datasets for Evaluating AI-based Security Applications

Data Analytics-enabled Intrusion Detection: Evaluations of ToN_IoT Linux Datasets

Densely Connected Residual Network for Attack Recognition


Dependent Types in Haskell: Theory and Practice

Ephemeral Data Handling in Microservices - Technical Report


Boost.Multiprecision

Implementation of high-precision computation capabilities into the open-source dynamic simulation framework YADE

Impact of Mass-Gap on the Dispersion Interaction of Nanoparticles with Graphene out of Thermal Equilibrium

Engineering Uniform Sampling of Graphs with a Prescribed Power-law Degree Sequence


FFLAS-FFPACK - Finite Field Linear Algebra Subroutines / Package

Deterministic computation of the characteristic polynomial in the time of matrix multiplication

Fast Matrix Multiplication and Symbolic Computation

Implementations of efficient univariate polynomial matrix algorithms and application to bivariate resultants

Block-Krylov techniques in the context of sparse-FGLM algorithms

On fast multiplication of a matrix by its transpose

International Symposium on Symbolic and Algebraic Computation

Exact computations with quasiseparable matrices


ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!


Bitcoin Improvement Proposals

Blockchain Technology Overview

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Hijacking Bitcoin: Routing Attacks on Cryptocurrencies

Atomic Cross-Chain Swaps

Decentralization in Bitcoin and Ethereum Networks

Concurrency and Privacy with Payment-Channel Networks

Bitcoin Meets Strong Consistency

Survey: Sharding in Blockchains

Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs

The Unreasonable Effectiveness of Address Clustering


Automated Quality Control and visual reports for Quality Assessment of structural (T1w, T2w) and functional MRI of the brain

The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments

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

A phenome-wide examination of neural and cognitive function

A naturalistic neuroimaging database for understanding the brain using ecological stimuli

An Open MRI Dataset For Multiscale Neuroscience

Crowdsourced MRI quality metrics and expert quality annotations for training of humans and machines

A longitudinal neuroimaging dataset on arithmetic processing in school children

Functional connectome through the human life span

bioRxiv : the preprint server for biology

The Queensland Twin Adolescent Brain Project, a longitudinal study of adolescent brain development

Supervised machine learning quality control for magnetic resonance artifacts in neonatal data sets


Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments

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

International Congress on Image and Signal Processing

Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq

End-to-End Speech Recognition and Disfluency Removal

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

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


Ignis (deprecated) provides tools for quantum hardware verification, noise characterization, and error correction.

Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers

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

Challenges and Opportunities of Near-Term Quantum Computing Systems

Bell Diagonal and Werner state generation: entanglement, non-locality, steering and discord on the IBM quantum computer

Support Vector Machines on Noisy Intermediate Scale Quantum Computers

Let Each Quantum Bit Choose Its Basis Gates

Fast quantum state reconstruction via accelerated non-convex programming

Dealing with quantum computer readout noise through high energy physics unfolding methods


SonicBOOM: The Berkeley Out-of-Order Machine


ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

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

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Fast Transformer Decoding: One Write-Head is All You Need

X-LLM: Bootstrapping Advanced Large Language Models by Treating Multi-Modalities as Foreign Languages

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All
  Tools

MM-LLMs: Recent Advances in MultiModal Large Language Models

Zero-Shot Cross-Lingual Summarization via Large Language Models

Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

KoLA: Carefully Benchmarking World Knowledge of Large Language Models


Head tracking software for MS Windows, Linux, and Apple OSX

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

IEEE Transactions on Intelligent Transportation Systems

Viewport-Driven Rate-Distortion Optimized 360º Video Streaming

International Conference on Communications

Viewport-Driven Rate-Distortion Optimized 360° Video Streaming


[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images

pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis

Computer methods and programs in biomedicine

Code Smells in Machine Learning Systems

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

An overview of open source Deep Learning-based libraries for Neuroscience


A fork of Jeelab's fantastic RTC Arduino library

Fabricating a Portable ECG Device Using AD823X Analog Front-End Microchips and Open-Source Development Validation

Portable ECG System Design Using the AD8232 Microchip and Open-Source Platform

The 6th International Electronic Conference on Sensors and Applications

Monitoring Bivalve Behavior and Physiology in the Laboratory and Field Using Open-Source Tools


docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

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

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

Real-time Scene Text Detection with Differentiable Binarization

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

MASTER: Multi-aspect non-local network for scene text recognition

DocILE Benchmark for Document Information Localization and Extraction

Text Detection Forgot About Document OCR

Handwriting Declines With Human Aging: A Machine Learning Study

TorchBench: Benchmarking PyTorch with High API Surface Coverage

LOCR: Location-Guided Transformer for Optical Character Recognition


Deep Learning GPU Training System

Facial Expression Recognition using Visual Saliency and Deep Learning

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

Automated Parking Space Detection Using Convolutional Neural Networks

2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)

A deep convolutional neural network approach for astrocyte detection

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

Fast and robust multiple ColorChecker detection using deep convolutional neural networks

Barista - a Graphical Tool for Designing and Training Deep Neural Networks

Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks


Norwegian Earth System Model and Documentation

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Implementing a sectional scheme for early aerosol growth from new particle formation in the Norwegian Earth System Model v2: comparison to observations and climate impacts

Simulated Cycles of East Asian Temperature and Precipitation Over the Past 425 ka

Zenodo (CERN European Organization for Nuclear Research)

On the emission-path dependency of the efficiency of ocean alkalinity enhancement


Automated testing to find logic and performance bugs in database systems

Finding bugs in database systems via query partitioning

Proceedings of the ACM on Programming Languages

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

Testing Database Engines via Query Plan Guidance

CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation


WebAssembly System Interface

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

A Lightweight Design for Serverless Function as a Service

MSWasm: Soundly Enforcing Memory-Safe Execution of Unsafe Code

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

On the Use of Web Assembly in a Serverless Context

Lecture notes in business information processing

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

Exploring the Use of WebAssembly in HPC

Multi-variant Execution at the Edge


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


Annotated data.

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

Single-cell RNA-seq denoising using a deep count autoencoder

anndata: Annotated data

A fast, scalable and versatile tool for analysis of single-cell omics data


AsciiDoc Source


The Swift Programming Language

DiffTaichi: Differentiable Programming for Physical Simulation

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

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

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

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

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

Future Directions for Optimizing Compilers

Duration Estimation Models for Open Source Software Projects

International Journal of Information Technology and Computer Science

Optimization of Swift Protocols

Data-Driven Decisions and Actions in Today's Software Development


Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Training language models to follow instructions with human feedback

LoRA: Low-Rank Adaptation of Large Language Models

Finetuned Language Models Are Zero-Shot Learners

Large Language Models for Software Engineering: A Systematic Literature Review

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

Does Role-Playing Chatbots Capture the Character Personalities? Assessing Personality Traits for Role-Playing Chatbots

Alleviating Hallucinations of Large Language Models through Induced Hallucinations

LaCo: Large Language Model Pruning via Layer Collapse

Autonomous Data Selection with Language Models for Mathematical Texts


HORNET is a powerful IOTA fullnode software

Offline Scaling of IoT Devices in IOTA Blockchain

A Mechanism for Verifying the Integrity and Immutability of Tuberculosis Data Using IOTA Distributed Ledger Technology

Studies in health technology and informatics

A Novel DID Method Leveraging the IOTA Tangle and its Integration into OpenSSL


ROS-Industrial Universal Robots support (https://wiki.ros.org/universal_robot)

Inverse Kinematics with Forward Dynamics Solvers for Sampled Motion Tracking

Virtual Forward Dynamics Models for Cartesian Robot Control

Improving Haptic Response for Contextual Human Robot Interaction


Core Python Web Archiving Toolkit for replay and recording of web archives

MementoMap Framework for Flexible and Adaptive Web Archive Profiling

Exploring the Dominance of the English Language on the Websites of EU Countries

From archive to analysis: accessing web archives at scale through a cloud-based interface

International Journal of Digital Humanities

The Case For Alternative Web Archival Formats To Expedite The Data-To-Insight Cycle

ACM/IEEE Joint Conference on Digital Libraries

Right HTML, Wrong JSON: Challenges in Replaying Archived Webpages Built with Client-Side Rendering

Collecting 16K archived web pages from 17 public web archives

Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives

BESOCIAL: A Sustainable Knowledge Graph-Based Workflow for Social Media Archiving

Impact of HTTP Cookie Violations in Web Archives


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

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

SlowFast Networks for Video Recognition

TSM: Temporal Shift Module for Efficient Video Understanding

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

Video Swin Transformer

Temporal Segment Networks for Action Recognition in Videos

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

ActBERT: Learning Global-Local Video-Text Representations

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

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


Java Library for LWM2M

Industrial IoT Monitoring: Technologies and Architecture Proposal

On Company Contributions to Community Open Source Software Projects

IEEE Transactions on Software Engineering

Virtualizing AI at the Distributed Edge towards Intelligent IoT Applications

An End-To-End LwM2M-Based Communication Architecture for Multimodal NB-IoT/BLE Devices

Mass Configuration of Heterogeneous IIoT Nodes: A Proposal and Experimental Evaluation

International Conference on Computing, Networking and Communications


The Proteomics sample metadata: Standard for experimental design annotation in proteomics datasets

Deep learning boosts sensitivity of mass spectrometry-based immunopeptidomics

A proteomics sample metadata representation for multiomics integration and big data analysis

Toward a Sample Metadata Standard in Public Proteomics Repositories


A Python toolbox for performing gradient-free optimization

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

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

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

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

Transforming and Projecting Images into Class-conditional Generative Networks

Benchmarking in Optimization: Best Practice and Open Issues

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

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

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

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


Next generation FEniCS problem solving environment

Basix: a runtime finite element basis evaluation library

preCICE v2: A sustainable and user-friendly coupling library

Automating the formulation and resolution of convex variational problems: applications from image processing to computational mechanics

MetaFEM: A generic FEM solver by meta-expressions

Projection-based reduced order modeling of an iterative scheme for linear thermo-poroelasticity

Design and analysis of an exactly divergence-free hybridised discontinuous Galerkin method for incompressible flows on meshes with quadrilateral cells

Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors

Deterministic and statistical calibration of constitutive models from
  full-field data with parametric physics-informed neural networks


HTTP load testing tool and library. It's over 9000!

Sizeless: predicting the optimal size of serverless functions

Open-source RANs in Practice: an Over-The-Air Deployment for 5G MEC

European Conference on Networks and Communications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Intrusion Survivability for Commodity Operating Systems

A Software-Defined Networking Solution for Interconnecting Network Functions in Service-Based Architectures

LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers (Extended Version)

Nirdizati: an Advanced Predictive Process Monitoring Toolkit


Creative Commons Attribution 4.0 International

Working draft of the proposed RISC-V V vector extension

Ara: A 1-GHz+ Scalable and Energy-Efficient RISC-V Vector Processor With Multiprecision Floating-Point Support in 22-nm FD-SOI

Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads

A ''New Ara'' for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design

Vitruvius+: An Area-Efficient RISC-V Decoupled Vector Coprocessor for High Performance Computing Applications

ACM Transactions on Architecture and Code Optimization (TACO)

A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics

dCSR: A Memory-Efficient Sparse Matrix Representation for Parallel Neural Network Inference

Vortex: OpenCL Compatible RISC-V GPGPU

Short Reasons for Long Vectors in HPC CPUs: A Study Based on RISC-V

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference

Spatz: Clustering Compact RISC-V-Based Vector Units to Maximize Computing Efficiency


set of tools for continuum fitting, correlation function calculation, cosmological fits...

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

Baryon acoustic oscillations from the complete SDSS-III Lyα-quasar cross-correlation function at z=2.4

Baryon acoustic oscillations from the cross-correlation of Lyα absorption and quasars in eBOSS DR14

HAL (Le Centre pour la Communication Scientifique Directe)

Baryon acoustic oscillations at z = 2.34 from the correlations of
  Lyα absorption in eBOSS DR14

Baryon Acoustic Oscillations and the Hubble constant: past, present and future

Journal of Cosmology and Astroparticle Physics

The one-dimensional power spectrum from the SDSS DR14 Lyα forests

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Dark matter component decaying after recombination: Sensitivity to baryon acoustic oscillation and redshift space distortion probes

LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-α
  Forest BAO Surveys

A tomographic map of the large-scale matter distribution using the eBOSS
  Stripe 82 Ly-α forest


our classic

Scalability of High-Performance PDE Solvers

Highly Optimized Full-Core Reactor Simulations on Summit

A Study on Convolution Neural Network for Reconstructing the Temperature Field of Wall-Bounded Flows

Nek5000/RS Performance on Advanced GPU Architectures


ilastik-shell, applets, and workflows to string them together.

ilastik: interactive machine learning for (bio)image analysis

Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images

Deep Learning in Single-Cell Analysis

HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration


:robot: :speech_balloon: Deep learning for Text to Speech  (Discussion forum: https://discourse.mozilla.org/c/tts)

Tacotron: Towards End-to-End Speech Synthesis

LibriTTS: A Corpus Derived from LibriSpeech for Text-to-Speech

A Survey on Neural Speech Synthesis

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

ESPnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

Muskits: an End-to-End Music Processing Toolkit for Singing Voice Synthesis

MTL-SLT: Multi-Task Learning for Spoken Language Tasks

Proceedings of the 4th Workshop on NLP for Conversational AI

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


Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.

Decarbonization pathways for the residential sector in the United States

CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management


A centralized location for storing curated data from cBioPortal

Single-cell analysis supports a luminal-neuroendocrine transdifferentiation in human prostate cancer

Type 2 dendritic cells mediate control of cytotoxic T cell resistant tumors

Reshaping of the androgen-driven chromatin landscape in normal prostate cells by early cancer drivers and effect on therapeutic sensitivity

Genomic attributes of homology-directed DNA repair deficiency in metastatic prostate cancer

Prognosis and Genomic Landscape of Liver Metastasis in Patients With Breast Cancer

Integrative molecular analyses define correlates of high B7-H3 expression in metastatic castrate-resistant prostate cancer

Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC

Deubiquitination in prostate cancer progression: role of USP22

Journal of cancer metastasis and treatment

Comparison of metastatic castration-resistant prostate cancer in bone with other sites: clinical characteristics, molecular features and immune status

Heliangin acts as a covalent ligand of RPS2 that disrupts pre-rRNA metabolic processes in NPM1-mutated acute myeloid leukemia


RetDec is a retargetable machine-code decompiler based on LLVM.

Code Translation with Compiler Representations

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?

Improving type information inferred by decompilers with supervised machine learning

Deep-Learning-based Vulnerability Detection in Binary Executables

Experimental Toolkit for Manipulating Executable Packing

GraphBinMatch: Graph-Based Similarity Learning for Cross-Language Binary and Source Code Matching

Unifying Pointer Analyses for Polyglot Inter-operations through Summary Specialization


IOR and mdtest

Clairvoyant Prefetching for Distributed Machine Learning I/O

CFS: A Distributed File System for Large Scale Container Platforms

Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters

Proceedings of the Practice and Experience on Advanced Research Computing

Secure Platform for Processing Sensitive Data on Shared HPC Systems

Analyzing the Performance of the S3 Object Storage API for HPC Workloads

DAOS as HPC Storage: a View From Numerical Weather Prediction

Analysis of parallel I/O use on the UK national supercomputing service, ARCHER using Cray LASSi and EPCC SAFE

Exploring the Use of WebAssembly in HPC

Performance Comparison of DAOS and Lustre for Object Data Storage Approaches

ADA-FS—Advanced Data Placement via Ad hoc File Systems at Extreme Scales

Software for Exascale Computing - SPPEXA 2016-2019


Nitro goes vroom and fixes everything

Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution

Monitoring the Future of Smart Contracts


ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning in Mobile and Wireless Networking: A Survey

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

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

Forward and Backward Information Retention for Accurate Binary Neural Networks

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

A First Look at Deep Learning Apps on Smartphones

High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

On-Device Training Under 256KB Memory


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

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

IEEE Transactions on Instrumentation and Measurement

Copolymer Informatics with Multi-Task Deep Neural Networks

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

Journal of Computer Virology and Hacking Techniques


A little word cloud generator in Python

Characterizing COVID-19 Content Posted to TikTok: Public Sentiment and Response During the First Phase of the COVID-19 Pandemic

The Journal of adolescent health : official publication of the Society for Adolescent Medicine

Leveraging Sparse Linear Layers for Debuggable Deep Networks

Hedonic appreciation and verbal description of pleasant and unpleasant odors in untrained, trainee cooks, flavorists, and perfumers

From free text to clusters of content in health records: an unsupervised graph partitioning approach

Ontology-based venous thromboembolism risk assessment model developing from medical records

BMC medical informatics and decision making

Extracting representations of cognition across neuroimaging studies improves brain decoding

Sharing emotions at scale: The Vent dataset

LX-LR4DistSemEval: a collection of language resources for the evaluation of distributional semantic models of Portuguese

Revista da Associação Portuguesa de Linguística

VidChapters-7M: Video Chapters at Scale

Learning to share by masking the non-shared for multi-domain sentiment classification


The IDAES Process Systems Engineering Framework

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

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

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


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

Triangulating Python Performance Issues with Scalene

OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks

Study of Energy-Efficient Optimization Techniques for High-Level Homogeneous Resource Management

Wireless Communications and Mobile Computing

Parallel Batched Interpolation Search Tree

GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production


SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Spikformer: When Spiking Neural Network Meets Transformer

SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence

Neural Architecture Search for Spiking Neural Networks

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Neuromorphic Data Augmentation for Training Spiking Neural Networks

AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Exploring Lottery Ticket Hypothesis in Spiking Neural Networks

Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings

Optical flow estimation from event-based cameras and spiking neural networks


OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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

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

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

PP-YOLOE: An evolved version of YOLO

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment

Reviving Static Charts into Live Charts

HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding

Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People


Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.

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

Accelerating Self-Play Learning in Go

Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency

The Game Is Not over Yet—Go in the Post-AlphaGo Era

Deep Reinforcement Learning

Practical Massively Parallel Monte-Carlo Tree Search Applied to Molecular Design

Learning to Play the Chess Variant Crazyhouse Above World Champion Level With Deep Neural Networks and Human Data

Mobile Networks for Computer Go

Efficiently Mastering the Game of NoGo with Deep Reinforcement Learning Supported by Domain Knowledge

Are AlphaZero-like Agents Robust to Adversarial Perturbations?


Sparsity-aware deep learning inference runtime for CPUs

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Structured Pruning Learns Compact and Accurate Models

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

How Well Do Sparse ImageNet Models Transfer?

SPDY: Accurate Pruning with Speedup Guarantees

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment

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


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

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

A comprehensive study of pseudo-tested methods

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

IEEE Transactions on Software Engineering

Cerebro: Static Subsuming Mutant Selection

Commit-Aware Mutation Testing

International Conference on Software Maintenance

Program Repair: Automated vs. Manual

On the use of commit-relevant mutants

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

Learning Likely Invariants to Explain Why a Program Fails

International Conference on Engineering of Complex Computer Systems

Static Call Graph Combination to Simulate Dynamic Call Graph Behavior


AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

FP8 versus INT8 for efficient deep learning inference

Neural Network Quantization with AI Model Efficiency Toolkit (AIMET)

A Practical Mixed Precision Algorithm for Post-Training Quantization

Quadapter: Adapter for GPT-2 Quantization

Softmax Bias Correction for Quantized Generative Models

KD-Lib: A PyTorch library for Knowledge Distillation, Pruning and Quantization

SketchINR: A First Look into Sketches as Implicit Neural Representations

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers

Quantization Aware Factorization for Deep Neural Network Compression


An automated insulin delivery app for iOS, built on LoopKit

In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

Full closed loop open‐source algorithm performance comparison in pigs with diabetes

Survey about do-it-yourself closed loop systems in the treatment of diabetes in Germany

A Wearable Closed-Loop Insulin Delivery System Based on Low-Power SoCs


Plotting library for IPython/Jupyter notebooks

Vaex: big data exploration in the era of Gaia

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

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy


Galaxy Tool Shed repositories maintained and developed by the GalaxyP community

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

Accessible and reproducible mass spectrometry imaging data analysis in Galaxy

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

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

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

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


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

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

The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation

International Journal of Computer Vision

Fashion Outfit Complementary Item Retrieval

Revisiting the Inverted Indices for Billion-Scale Approximate Nearest Neighbors

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

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

OutfitTransformer: Learning Outfit Representations for Fashion Recommendation

Graph based Nearest Neighbor Search: Promises and Failures

Accelerating Large-Scale Graph-Based Nearest Neighbor Search on a Computational Storage Platform

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


An elegant PyTorch deep reinforcement learning library.

PettingZoo: Gym for Multi-Agent Reinforcement Learning

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Learning Certified Control using Contraction Metric

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

Neural Ordinary Differential Equation Control of Dynamics on Graphs

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Multi-agent Dynamic Algorithm Configuration

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

Hierarchical Reinforcement Learning with Timed Subgoals


Community Terrestrial Systems Model (includes the Community Land Model of CESM)

The Community Land Model Version 5: Description of New Features, Benchmarking, and Impact of Forcing Uncertainty

Journal of Advances in Modeling Earth Systems

Benchmarking and parameter sensitivity of physiological and vegetation dynamics using the Functionally Assembled Terrestrial Ecosystem Simulator (FATES) at Barro Colorado Island, Panama

Beyond Static Benchmarking: Using Experimental Manipulations to Evaluate Land Model Assumptions

Model Structure and Climate Data Uncertainty in Historical Simulations of the Terrestrial Carbon Cycle (1850–2014)

Modeled Microbial Dynamics Explain the Apparent Temperature Sensitivity of Wetland Methane Emissions

Parameterization and Surface Data Improvements and New Capabilities for the Community Land Model Urban (CLMU)

Journal of advances in modeling earth systems

A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5

Advances in statistical climatology, meteorology and oceanography

Assessing impacts of selective logging on water, energy, and carbon budgets and ecosystem dynamics in Amazon forests using the Functionally Assembled Terrestrial Ecosystem Simulator

Projecting circum-Arctic excess-ground-ice melt with a sub-grid representation in the Community Land Model

Decadal fates and impacts of nitrogen additions on temperate forest carbon storage: a data–model comparison


Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

PINT: A Modern Software Package for Pulsar Timing

Hypothesis: A new approach to property-based testing

Ciw: An open source discrete event simulation library

An open framework for the reproducible study of the iterated prisoner's dilemma

Testing Monotonicity of Machine Learning Models

Navigating the development challenges in creating complex data systems

Falsify your Software: validating scientific code with property-based testing

Proceedings of the Python in Science Conferences

Covering All the Bases: Type-Based Verification of Test Input Generators


Monitor Memory usage of Python code

Network Intrusion Detection Based on Novel Feature Selection Model and Various Recurrent Neural Networks

MethylStar: A fast and robust pre-processing pipeline for bulk or single-cell whole-genome bisulfite sequencing data

Fast evaluation of finite element weak forms using python tensor contraction packages

Development of Magnetic-Based Navigation by Constructing Maps Using Machine Learning for Autonomous Mobile Robots in Real Environments

An Analytical Survey on Recent Trends in High Dimensional Data Visualization

Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data

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


A multi-party collaborative machine learning framework

Advances and Open Problems in Federated Learning

Label Leakage and Protection in Two-party Split Learning

Vertical Federated Learning: Challenges, Methodologies and Experiments

FedLab: A Flexible Federated Learning Framework

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey

DPAUC: Differentially Private AUC Computation in Federated Learning

Vertical Federated Learning: Taxonomies, Threats, and Prospects

PFLlib: Personalized Federated Learning Algorithm Library

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks


Warning: This project does not have any current developer. See bellow.

Explaining and Harnessing Adversarial Examples

Qualitatively characterizing neural network optimization problems

Pylearn2: a machine learning research library

Knowledge Matters: Importance of Prior Information for Optimization

Analyzing noise in autoencoders and deep networks

Fraternal Dropout

Securing AI-based Healthcare Systems using Blockchain Technology: A State-of-the-Art Systematic Literature Review and Future Research Directions

A Generation Method of Immunological Memory in Clonal Selection Algorithm by using Restricted Boltzmann Machines


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

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

Global estimations of wind energy potential considering seasonal air density changes

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

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

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

International Universities Power Engineering Conference

Using power system modelling outputs to identify weather-induced extreme events in highly renewable systems

Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems

PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

Zenodo (CERN European Organization for Nuclear Research)


LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Masked Autoencoders Are Scalable Vision Learners

SimCSE: Simple Contrastive Learning of Sentence Embeddings

An Empirical Study of Training Self-Supervised Vision Transformers

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review


Python (3.8+) version of CLIMADA

Asset exposure data for global physical risk assessment

Regional tropical cyclone impact functions for globally consistent risk assessments

Natural hazards and earth system sciences

CLIMADA v1.4.1: towards a globally consistent adaptation options appraisal tool

Uncertainty and sensitivity analysis for probabilistic weather and climate-risk modelling: an implementation in CLIMADA v.3.1.0

Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland

Towards operational impact forecasting of building damage from winter windstorms in Switzerland

Globally consistent assessment of economic impacts of wildfires in CLIMADA v2.2

Large-scale risk assessment on snow avalanche hazard in alpine regions

Tropical cyclone-specific mortality risks and the periods of concern: A multicountry time-series study

Uncertainty and sensitivity analysis for natural risk and adaptation appraisal modeling with CLIMADA


ACL2 System and Books as Maintained by the Community

Efficient Certified RAT Verification

Verifying x86 Instruction Implementations

New Rewriter Features in FGL

Formal Verification of Zero-Knowledge Circuits

International Workshop on the ACL2 Theorem Prover and Its Applications

Adding 32-bit Mode to the ACL2 Model of the x86 ISA

Balancing Automation and Control for Formal Verification of Microprocessors

Fourier Series Formalization in ACL2(r)

DefunT: A Tool for Automating Termination Proofs by Using the Community Books (Extended Abstract)

Verified Implementation of an Efficient Term-Rewriting Algorithm for Multiplier Verification on ACL2

Verification of GossipSub in ACL2s


A unified framework for privacy-preserving data analysis and machine learning

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention

PFLlib: Personalized Federated Learning Algorithm Library

AIJack: Security and Privacy Risk Simulator for Machine Learning


The Charm++ parallel programming system. Visit https://charmplusplus.org/ for more information.

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

Runtime Support for Performance Portability on Heterogeneous Distributed Platforms

Towards Performance Portable Programming for Distributed Heterogeneous Systems

Simulating gravitational motion, gas dynamics, and structure in the cosmos


ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension

Correction: KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data

Studies in health technology and informatics

Common Data Model-based Analysis of Selective Leukoreduction Protocol Compliance at Three Hospitals

Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation


UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

Convolutional Neural Networks for Sentence Classification

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Factorization Machines

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Session-based Recommendations with Recurrent Neural Networks


A transparent, highly scalable and cryptographically verifiable data store.

Paxos vs Raft: Have we reached consensus on distributed consensus?

Proceedings of the 7th Workshop on Principles and Practice of Consistency for Distributed Data

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency

Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures

Key Event Receipt Infrastructure (KERI)

SafetyPin: Encrypted Backups with Human-Memorable Secrets

Automated Verification of Go Programs via Bounded Model Checking

International Conference on Automated Software Engineering

Verifiable Light-Weight Monitoring for Certificate Transparency Logs

Software Distribution Transparency and Auditability

A Blueprint for Interoperable Blockchains

F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure


Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

BEiT: BERT Pre-Training of Image Transformers

Unified Language Model Pre-training for Natural Language Understanding and Generation

Pre-trained models for natural language processing: A survey

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

MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding

Kosmos-2: Grounding Multimodal Large Language Models to the World

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers


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

FLAT: Chinese NER Using Flat-Lattice Transformer

Star-Transformer

A Unified Generative Framework for Various NER Subtasks

A Unified Generative Framework for Aspect-Based Sentiment Analysis

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

Graph Neural Networks Inspired by Classical Iterative Algorithms

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

BERT for Monolingual and Cross-Lingual Reverse Dictionary

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


A high-performance embeddable Python 3 runtime for Java

Debugging Native Extensions of Dynamic Languages

Proceedings of the 15th International Conference on Managed Languages & Runtimes - ManLang '18

SecV: Secure Code Partitioning via Multi-Language Secure Values

Proceedings of the 24th International Middleware Conference on ZZZ


Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】

From distributed machine learning to federated learning: a survey

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

Emerging trends: A gentle introduction to fine-tuning

Towards Making Deep Transfer Learning Never Hurt

Parameter-Free Style Projection for Arbitrary Style Transfer

Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

International Journal of Disaster Risk Science

State of the Art of Quality Assessment of Facial Images

Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection


Python tools for querying and manipulating BIDS datasets.

BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods

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

Open and reproducible neuroimaging: From study inception to publication

PyBIDS: Python tools for BIDS datasets

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

Good scientific practice in EEG and MEG research: Progress and perspectives

Neuroscout, a unified platform for generalizable and reproducible fMRI research

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

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


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

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

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

A Block-Based Triangle Counting Algorithm on Heterogeneous Environments

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

Parallel Graph Coloring Algorithms for Distributed GPU Environments


:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

DeepRelease: Language-agnostic Release Notes Generation from Pull Requests of Open-source Software

Demystifying Software Release Note Issues on GitHub

Investigating and Recommending Co-Changed Entities for JavaScript Programs

Backports: Change Types, Challenges and Strategies

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

Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis


C library for high-throughput sequencing data formats

HTSlib: C library for reading/writing high-throughput sequencing data

Efficient in vitro and in vivo RNA editing via recruitment of endogenous ADARs using circular guide RNAs

htsget: a protocol for securely streaming genomic data

POPBAM: Tools for Evolutionary Analysis of Short Read Sequence Alignments

The Functional Significance of Common Polymorphisms in Zinc Finger Transcription Factors

Clinical utility of the low-density Infinium QC genotyping Array in a genomics-based diagnostics laboratory

Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data

Protocol for unbiased, consolidated variant calling from whole exome sequencing data

Protocol for detecting rare and common genetic associations in whole-exome sequencing studies using MAGICpipeline