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

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

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


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

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

Nationwide rollout reveals efficacy of epidemic control through digital contact tracing

Listening to Bluetooth Beacons for Epidemic Risk Mitigation

Bluetooth-based COVID-19 Proximity Tracing Proposals: An Overview

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

Risk Model of German Corona Warning App - Reloaded


The Ethereum Wiki

Bitcoin-NG: A Scalable Blockchain Protocol

Blockchain distributed ledger technologies for biomedical and health care applications

Journal of the American Medical Informatics Association : JAMIA

Untangling Blockchain: A Data Processing View of Blockchain Systems

BLOCKBENCH: A Framework for Analyzing Private Blockchains

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

An overview on smart contracts: Challenges, advances and platforms

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

Smart Contract-Based Access Control for the Internet of Things

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

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

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids


Mesh TensorFlow: Model Parallelism Made Easier

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

ST-MoE: Designing Stable and Transferable Sparse Expert Models

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

NeurIPS - Mesh-TensorFlow: Deep Learning for Supercomputers

HyperPrompt: Prompt-based Task-Conditioning of Transformers


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

Heat pumps for all? Distributions of the costs and benefits of residential air-source heat pumps in the United States

Zenodo (CERN European Organization for Nuclear Research)


ECP-CANDLE Benchmarks

TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research

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

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems

Recombination of Artificial Neural Networks

AI-coupled HPC Workflow Applications, Middleware and Performance

GraphPipe: Improving Performance and Scalability of DNN Training with
  Graph Pipeline Parallelism

HPTMT Parallel Operators for High Performance Data Science and Data Engineering


Programmable CUDA/C++ GPU Graph Analytics

GraphR: Accelerating Graph Processing Using ReRAM

Multi-GPU Graph Analytics

Characterizing and Detecting CUDA Program Bugs

SURF: Direction-Optimizing Breadth-First Search Using Workload State on GPUs

BOBA: A Parallel Lightweight Graph Reordering Algorithm with Heavyweight Implications


An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

A novel fusion-based deep learning model for sentiment analysis of COVID-19 tweets

Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China

From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data

DEPTWEET: A typology for social media texts to detect depression severities

L3Cube-HingCorpus and HingBERT: A Code Mixed Hindi-English Dataset and BERT Language Models

SenWave: Monitoring the Global Sentiments under the COVID-19 Pandemic

Winds of Change: Impact of COVID-19 on Vaccine-related Opinions of Twitter users

Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter

Correction to: Disinformation in Open Online Media

Multidisciplinary International Symposium on Disinformation in Open Online Media

Rise and fall of the global conversation and shifting sentiments during the COVID-19 pandemic

Humanities and Social Sciences Communications


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

Master Transcription Factor Reprogramming Unleashes Selective Translation Promoting Castration Resistance and Immune Evasion in Lethal Prostate Cancer

An integrative proteomics approach identifies tyrosine kinase KIT as a therapeutic target for SPINK1-positive prostate cancer


M.I.T General Circulation Model master code and documentation repository

Antarctic Sea Ice Control on the Depth of North Atlantic Deep Water

Dynamic Europa ocean shows transient Taylor columns and convection driven by ice melting and salinity

Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica

Impact of icebergs on the seasonal submarine melt of Sermeq Kujalleq

Attractors and bifurcation diagrams in complex climate models

Ice‐Front Retreat Controls on Ocean Dynamics Under Larsen C Ice Shelf, Antarctica

Data for Decadal variability of ice-shelf melt in the Amundsen Sea driven by freshwater fluxes


fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols

Tracing Your Smart-Home Devices Conversations: A Real World IoT Traffic Data-Set

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

Hidden in Plain Sight: Exploring Encrypted Channels in Android apps

Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks


Python tools for obtaining and working with ICESat-2 data

How Are Under Ice Phytoplankton Related to Sea Ice in the Southern Ocean?

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments


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

Exploring the Use of WebAssembly in HPC

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

Performance Comparison of DAOS and Lustre for Object Data Storage Approaches

Capturing Periodic I/O Using Frequency Techniques


TEASER - Tool for Energy Analysis and Simulation for Efficient Retrofit

TEASER: an open tool for urban energy modelling of building stocks

Journal of Building Performance Simulation

Flexible Electricity Use for Heating in Markets with Renewable Energy

Connecting Dynamic Heat Demands of Buildings with Borehole Heat Exchanger Simulations for Realistic Monitoring and Forecast

EUROPEAN GEOSCIENCES UNION GENERAL ASSEMBLY 2021, EGU DIVISION ENERGY, RESOURCES & ENVIRONMENT, ERE


Workflow Description Language - Specification and Implementations

Towards complete and error-free genome assemblies of all vertebrate species

A simple guide to de novo transcriptome assembly and annotation

Accelerating bioinformatics implementation in public health

A comprehensive genomic and transcriptomic dataset of triple-negative breast cancers

Unifying package managers, workflow engines, and containers: Computational reproducibility with BioNix

A versatile workflow to integrate RNA-seq genomic and transcriptomic data into mechanistic models of signaling pathways

Global Alliance for Genomics and Health Meets Bioconductor: Toward Reproducible and Agile Cancer Genomics at Cloud Scale

Evaluation of tools for describing, reproducing and reusing scientific workflows

CRISPR/Cas9 generated PTCHD1 2489T>G stem cells recapitulate patient phenotype when undergoing neural induction

Ten simple rules for large-scale data processing


Barebone MQTT broker that can run on any stream server, the node way

Intelligent One-Class Classifiers for the Development of an Intrusion Detection System: The MQTT Case Study

Migrating from Microservices to Serverless: An IoT Platform Case Study

Evaluation of IoT Self-healing Mechanisms using Fault-Injection in Message Brokers

Proceedings of the 4th International Workshop on Software Engineering Research and Practice for the IoT

Security assessment of common open source MQTT brokers and clients


Production-Grade Container Scheduling and Management

Performance Evaluation of Microservices Architectures using Containers

About Microservices, Containers and their Underestimated Impact on Network Performance

Boundary-Aware Segmentation Network for Mobile and Web Applications

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

Development of the CMS detector for the CERN LHC Run 3

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

Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP

Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities

On Byzantine fault tolerance in multi-master Kubernetes clusters

Being a Mentor in Open Source Projects


WebAssembly (Wasm) interpreter.

Potential of WebAssembly for Embedded Systems

Mediterranean Conference on Embedded Computing

Characterizing and Detecting WebAssembly Runtime Bugs

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

A Low-Latency Optimization of a Rust-Based Secure Operating System for Embedded Devices


igraph R package

Breast tumor microenvironment structures are associated with genomic features and clinical outcome

Single-cell Transcriptome Profiling reveals Dermal and Epithelial cell fate decisions during Embryonic Hair Follicle Development

Research Front Detection and Topic Evolution Based on Topological Structure and the PageRank Algorithm

Identification of putative enhancer-like elements predicts regulatory networks active in planarian adult stem cells

Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens


bedtools - the swiss army knife for genome arithmetic

Intervene: a tool for intersection and visualization of multiple gene or genomic region sets

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

PRMD: an integrated database for plant RNA modifications

Curated variation benchmarks for challenging medically relevant autosomal genes

Whole genome characterization of sequence diversity of 15,220 Icelanders

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

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

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

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

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


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

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Continual Learning Through Synaptic Intelligence

Progressive Neural Networks

Continual Learning with Deep Generative Replay

Memory Aware Synapses: Learning what (not) to forget

Efficient Lifelong Learning with A-GEM

Large Scale Incremental Learning


Ongoing research training transformer language models at scale, including: BERT & GPT-2

ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers

MoESys: A Distributed and Efficient Mixture-of-Experts Training and Inference System for Internet Services

Simple and Scalable Strategies to Continually Pre-train Large Language
  Models

GeoGalactica: A Scientific Large Language Model in Geoscience

ChemDFM: A Large Language Foundation Model for Chemistry

CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters

Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers

Applications of Large Scale Foundation Models for Autonomous Driving

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results

Optimizing Distributed Training on Frontier for Large Language Models


State-of-the-art 2D and 3D Face Analysis Project

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

VGGFace2: A dataset for recognising faces across pose and age

MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition

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

RetinaFace: Single-stage Dense Face Localisation in the Wild

The 2021 NIST Speaker Recognition Evaluation

DataComp: In search of the next generation of multimodal datasets

Sub-center ArcFace: Boosting Face Recognition by Large-Scale Noisy Web Faces

ElasticFace: Elastic Margin Loss for Deep Face Recognition

Linkage Based Face Clustering via Graph Convolution Network


Compiler for Neural Network hardware accelerators

Glow: Graph Lowering Compiler Techniques for Neural Networks

Relay: A High-Level Compiler for Deep Learning

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

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

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

Optimising AI Training Deployments using Graph Compilers and Containers


scikit-learn: machine learning in Python

Scikit-learn: Machine Learning in Python

SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives

Accelerated Hierarchical Density Based Clustering

Unmasking Clever Hans predictors and assessing what machines really learn

Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

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

Prediction of Acute Kidney Injury after Liver Transplantation: Machine Learning Approaches vs. Logistic Regression Model

The Shape of Learning Curves: a Review

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction


A Python SDK for interacting with quantum devices on Amazon Braket

Mitiq: A software package for error mitigation on noisy quantum computers

qRobot: A Quantum Computing Approach in Mobile Robot Order Picking and Batching Problem Solver Optimization

QFaaS: A Serverless Function-as-a-Service Framework for Quantum Computing

Compiler Optimization for Quantum Computing Using Reinforcement Learning

Optimization of Robot-Trajectory Planning with Nature-Inspired and Hybrid Quantum Algorithms

A protocol for the use of cloud-based quantum computers for logical network analysis of biological systems


Streetmix makes it easy for people to design public spaces together.

Open access transport models: A leverage point in sustainable transport planning


The PubSub implementation for go-libp2p

GossipSub: Attack-Resilient Message Propagation in the Filecoin and ETH2.0 Networks

PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore

Formal Model-Driven Analysis of Resilience of GossipSub to Attacks from Misbehaving Peers

Verification of GossipSub in ACL2s

International Workshop on the ACL2 Theorem Prover and Its Applications


Official repo for the #tidytuesday project

GPT detectors are biased against non-native English writers

AfriSenti: A Twitter Sentiment Analysis Benchmark for African Languages

Integrating Random Effects in Deep Neural Networks

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

Ten simple rules for teaching yourself R

Neural Mixed Effects for Nonlinear Personalized Predictions

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

International Journal of Advanced Computer Science and Applications

Why is the prediction wrong? Towards underfitting case explanation via meta-classification

International Conference on Data Science and Advanced Analytics

TaBIIC: Taxonomy Building through Iterative and Interactive Clustering

Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs


a basic OpenSCENARIO player

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

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

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

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

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

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

Automatic Odometry-Less OpenDRIVE Generation From Sparse Point Clouds

2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC)

CARLA-Autoware-Bridge: Facilitating Autonomous Driving Research with a
  Unified Framework for Simulation and Module Development

Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad


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

PFLlib: Personalized Federated Learning Algorithm Library

Vertical Federated Learning: Taxonomies, Threats, and Prospects

A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design

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


Sparkling Water provides H2O functionality inside Spark cluster

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

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

Performance Evaluation of Apache Spark Vs MPI: A Practical Case Study on Twitter Sentiment Analysis


:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications

NNStreamer: Efficient and Agile Development of On-Device AI Systems

Toward Among-Device AI from On-Device AI with Stream Pipelines


Hexagonal hierarchical geospatial indexing system

EASE-DGGS: a hybrid discrete global grid system for Earth sciences

Efficient cell navigation methods and applications of an aperture 4 hexagonal discrete global grid system

International Journal of Geographical Information Science

Spatiotemporal variability of ride-pooling potential – Half a year New York City experiment

The Contact and Mobility Networks of Mexico City

BEAM: The Modeling Framework for Behavior, Energy, Autonomy & Mobility

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI

MobilityDL: A Review of Deep Learning From Trajectory Data

Will there be a construction? Predicting road constructions based on heterogeneous spatiotemporal data

Proceedings of the 30th International Conference on Advances in Geographic Information Systems

Fingerprinting New York City's Scaffolding Problem with Longitudinal
  Dashcam Data

Where You Are Is What You Do: On Inferring Offline Activities From Location Data


Universal grid map library for mobile robotic mapping

Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots

Towards Autonomous Robotic Precision Harvesting: Mapping, Localization, Planning and Control for a Legged Tree Harvester


GNU toolchain for RISC-V, including GCC

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

Test-driving RISC-V Vector hardware for HPC

Approximate CPU Design for IoT End-Devices with Learning Capabilities

RISC-V Instruction Set Extensions for Lightweight Symmetric Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

Backporting RISC-V Vector assembly

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

Is RISC-V ready for HPC prime-time: Evaluating the 64-core Sophon SG2042 RISC-V CPU

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis

RISC-Vlim, a RISC-V Framework for Logic-in-Memory Architectures

A Reconfigurable Approximate Computing RISC-V Platform for
  Fault-Tolerant Applications

HIVE: Scalable Hardware-Firmware Co-Verification Using Scenario-Based Decomposition and Automated Hint Extraction


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

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

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

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


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

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

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform

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

A Decreasing Scaling Transition Scheme from Adam to SGD

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

CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet

Meeting of the Association for Computational Linguistics

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

Visual Referential Games Further the Emergence of Disentangled Representations

Meta-Referential Games to Learn Compositional Learning Behaviours


Pseudo API for Google Trends

Comparing Social media and Google to detect and predict severe epidemics

COVID-19 Symptom-Related Google Searches and Local COVID-19 Incidence in Spain: Correlational Study

Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries

What We Read, What We Search: Media Attention and Public Attention Among 193 Countries

Calibration of Google Trends Time Series

International Conference on Information and Knowledge Management

AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

Google Trends for Pain Search Terms in the World’s Most Populated Regions Before and After the First Recorded COVID-19 Case: Infodemiological Study

Machine learning-based forecasting of firemen ambulances’ turnaround time in hospitals, considering the COVID-19 impact

Keeping Up with the Trends: Analyzing the Dynamics of Online Learning and Hiring Platforms in the Software Programming Domain

International Journal of Artificial Intelligence in Education

What are People Talking about in #BackLivesMatter and #StopAsianHate?

Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society


HiBench is a big data benchmark suite.

BLOCKBENCH: A Framework for Analyzing Private Blockchains

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

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

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

International Conference on Distributed Computing Systems

Spark Parameter Tuning via Trial-and-Error

Don't cry over spilled records: Memory elasticity of data-parallel applications and its application to cluster scheduling

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

Benchmarking Data Flow Systems for Scalable Machine Learning

International Conference on Management of Data

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

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

BayesPerf: minimizing performance monitoring errors using Bayesian statistics

International Conference on Architectural Support for Programming Languages and Operating Systems


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


Turi Create simplifies the development of custom machine learning models.

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

HybridSVD: When Collaborative Information is Not Enough

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Ten Quick Tips for Deep Learning in Biology

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

A Lightweight Approach to Localization for Blind and Visually Impaired Travelers

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

Variational Inference for Category Recommendation in E-Commerce platforms


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

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

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

A Survey on Data Augmentation for Text Classification

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

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

Controllable protein design with language models

RealTime QA: What's the Answer Right Now?

Algorithmic fairness datasets: the story so far

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

MuMiN: A Large-Scale Multilingual Multimodal Fact-Checked Misinformation Social Network Dataset


The Python Spectroscopic Data Reduction Pipeline

A Luminous Quasar at Redshift 7.642

Pōniuā‘ena: A Luminous z = 7.5 Quasar Hosting a 1.5 Billion Solar Mass Black Hole

The low density and magnetization of a massive galaxy halo exposed by a fast radio burst

A Significantly Neutral Intergalactic Medium Around the Luminous z = 7 Quasar J0252–0503

Probing Early Supermassive Black Hole Growth and Quasar Evolution with Near-infrared Spectroscopy of 37 Reionization-era Quasars at 6.3 < z ≤ 7.64

The X-SHOOTER/ALMA Sample of Quasars in the Epoch of Reionization. I. NIR Spectral Modeling, Iron Enrichment, and Broad Emission Line Properties

First Spectroscopic Study of a Young Quasar

EIGER. I. A Large Sample of [O iii]-emitting Galaxies at 5.3 < z < 6.9 and Direct Evidence for Local Reionization by Galaxies

Revealing the Accretion Physics of Supermassive Black Holes at Redshift z ∼ 7 with Chandra and Infrared Observations

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen


Caffe2 is a lightweight, modular, and scalable deep learning framework.

Feature Pyramid Networks for Object Detection

MMDetection: Open MMLab Detection Toolbox and Benchmark

A First Look at Deep Learning Apps on Smartphones

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

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

Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps

Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones.

What does fault tolerant Deep Learning need from MPI?

Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences


Reference models and tools for Cloud TPUs.

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

RandAugment: Practical automated data augmentation with a reduced search space

MnasNet: Platform-Aware Neural Architecture Search for Mobile

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Regularized Evolution for Image Classifier Architecture Search

Self-training with Noisy Student improves ImageNet classification

Unsupervised Data Augmentation for Consistency Training

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

AutoAugment: Learning Augmentation Policies from Data


Tools (written in C using htslib) for manipulating next-generation sequencing data

Twelve years of SAMtools and BCFtools

Local regulation of gene expression by lncRNA promoters, transcription and splicing

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

The Implication of Early Chromatin Changes in X Chromosome Inactivation

Fast and accurate alignment of long bisulfite-seq reads

Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

Genome-wide association mapping of date palm fruit traits

Ancient introgression drives adaptation to cooler and drier mountain habitats in a cypress species complex

De novo analysis of transcriptome reveals genes associated with leaf abscission in sugarcane (Saccharum officinarum L.)

Collapse of the mammoth-steppe in central Yukon as revealed by ancient environmental DNA


Integrated Software for Imagers and Spectrometers v3. ISIS3 is a digital image processing software package to manipulate imagery collected by current and past NASA and International planetary missions.

Overcoming the Challenges Associated with Image‐Based Mapping of Small Bodies in Preparation for the OSIRIS‐REx Mission to (101955) Bennu

Improving the Usability of Galileo and Voyager Images of Jupiter's Moon Europa

hical—The HiRISE radiometric calibration software developed within the ISIS3 planetary image processing suite


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

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

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

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

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

medRxiv : the preprint server for health sciences

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

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

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

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

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

The Lancet regional health. Southeast Asia

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


Simple and easily configurable grid world environments for reinforcement learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Recurrent Independent Mechanisms

BabyAI: A Platform to Study the Sample Efficiency of Grounded Language Learning

Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design

InfoBot: Transfer and Exploration via the Information Bottleneck

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck

The NetHack Learning Environment

Prioritized Level Replay


Java binary serialization and cloning: fast, efficient, automatic

GeoBroker: Leveraging geo-contexts for IoT data distribution

Choreographies as Objects.

scenery: Flexible Virtual Reality Visualization on the Java VM

scenery - Flexible Virtual Reality Visualisation on the Java VM

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

ACM Transactions on Software Engineering and Methodology

ChronoSphere: a graph-based EMF model repository for IT landscape models

A Survey of JSON-compatible Binary Serialization Specifications

Jarvis: Large-scale Server Monitoring with Adaptive Near-data Processing

Choral: Object-Oriented Choreographic Programming

Programming at the edge of synchrony

Proceedings of the ACM on Programming Languages


Distributed Evolutionary Algorithms in Python

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

Exploring the standard model EFT in
VH
 production with machine learning

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

Bad Smells in Software Analytics Papers

ZOOpt: a toolbox for derivative-free optimization

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

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

Parallel model exploration for tumor treatment simulations

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

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


OptiKey - Full computer control and speech with your eyes

Development of an Eye Tracking-Based Human-Computer Interface for Real-Time Applications

Assessing the Usability of Gaze-Adapted Interface against Conventional Eye-based Input Emulation

Zenodo (CERN European Organization for Nuclear Research)

Cue-bot: A Conversational Agent for Assistive Technology

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations

CueBot: Cue-Controlled Response Generation for Assistive Interaction Usages

Workshop on Speech and Language Processing for Assistive Technologies


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


A Kademlia DHT implementation on go-libp2p

Content Censorship in the InterPlanetary File System

Kadabra: Adapting Kademlia for the Decentralized Web


Simple Python style checker in one Python file

Pretraining Language Models with Human Preferences

Controlling Conditional Language Models without Catastrophic Forgetting

Energy-Based Models for Code Generation under Compilability Constraints

On Code Reuse from StackOverflow: An Exploratory Study on Jupyter Notebook


matplotlib: plotting with Python

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

Accurate structure prediction of biomolecular interactions with AlphaFold 3

A foundation model for generalizable disease detection from retinal images

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

SWE-agent: Agent-Computer Interfaces Enable Automated Software
  Engineering

DisCoPy: Monoidal Categories in Python

Atmospheric Reconnaissance of TRAPPIST-1 b with JWST/NIRISS: Evidence for Strong Stellar Contamination in the Transmission Spectra

PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

Updated constraints on amplitude and tilt of the tensor primordial spectrum


music21 is a Toolkit for Computational Musicology

Establishing Human-Robot Trust through Music-Driven Robotic Emotion Prosody and Gesture

BacHMMachine: An Interpretable and Scalable Model for Algorithmic Harmonization for Four-part Baroque Chorales


Example models using DeepSpeed

DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs

AceGPT, Localizing Large Language Models in Arabic

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

ARGS: Alignment as Reward-Guided Search

Can AI Assistants Know What They Don't Know?

A Hybrid Tensor-Expert-Data Parallelism Approach to Optimize Mixture-of-Experts Training

AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning

Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models


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

Attention Is All You Need

LLaMA: Open and Efficient Foundation Language Models

Longformer: The Long-Document Transformer

Big Bird: Transformers for Longer Sequences

DINOv2: Learning Robust Visual Features without Supervision

Rethinking Attention with Performers

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

MetaFormer is Actually What You Need for Vision

On Layer Normalization in the Transformer Architecture

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


Add-on agent to generate and expose cluster-level metrics.

Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis

PBScaler: A Bottleneck-Aware Autoscaling Framework for Microservice-Based Applications

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


Online machine learning in Python

Green AI

River: machine learning for streaming data in Python

pyWATTS: Python Workflow Automation Tool for Time Series

PySAD: A Streaming Anomaly Detection Framework in Python

Incremental Learning Techniques for Online Human Activity Recognition

SAM-kNN Regressor for Online Learning in Water Distribution Networks

German Text Embedding Clustering Benchmark

Modelling the transition to a low-carbon energy supply


Optimized C library for EC operations on curve secp256k1

CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives

IA-CCF: Individual Accountability for Permissioned Ledgers

Frugal Byzantine Computing

Cloak: Transitioning States on Legacy Blockchains Using Secure and Publicly Verifiable Off-Chain Multi-Party Computation

PAC: Practical Accountability for CCF.

NetShaper: A Differentially Private Network Side-Channel Mitigation System

CryptOpt: Automatic Optimization of Straightline Code


Compile your Julia Package

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

NetworkDynamics.jl-Composing and simulating complex networks in Julia

Chaos An Interdisciplinary Journal of Nonlinear Science

Productivity meets Performance: Julia on A64FX

Forecasting local hospital bed demand for COVID-19 using on-request simulations


Metadata database for ENCODE project

Principles of metadata organization at the ENCODE data coordination center

Database : the journal of biological databases and curation

Ontology application and use at the ENCODE DCC

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

Data navigation on the ENCODE portal

Long Non-Coding RNA Regulation of Epigenetics in Vascular Cells

Prevention of data duplication for high throughput sequencing repositories


The RWTH extensible training framework for universal recurrent neural networks

Improved training of end-to-end attention models for speech recognition

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention

End-to-End Speech Recognition: A Survey

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

Meeting of the Association for Computational Linguistics

A Comparative Study on End-to-end Speech to Text Translation

RETURNN: The RWTH Extensible Training framework for Universal Recurrent Neural Networks

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

International Congress on Image and Signal Processing

Albayzin 2018 Evaluation: The IberSpeech-RTVE Challenge on Speech Technologies for Spanish Broadcast Media

Tight Integrated End-to-End Training for Cascaded Speech Translation

Librispeech Transducer Model with Internal Language Model Prior Correction


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

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

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


A Python library for the Docker Engine API

Security Measures in Automated Assessment System for Programming Courses

RV-TEE-Based Trustworthy Secure Shell Deployment: An Empirical Evaluation.


The rewritten engine, originally for tensorflow. Now all other backends have been ported here.

Accelerating Self-Play Learning in Go

Evaluating Superhuman Models with Consistency Checks

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

Representation Matters for Mastering Chess: Improved Feature Representation in AlphaZero Outperforms Switching to Transformers

MiniZero: Comparative Analysis of AlphaZero and MuZero on Go, Othello, and Atari Games

Neural Networks for Chess


Intel SGX for Linux*

Software Grand Exposure: SGX Cache Attacks Are Practical

Towards Scaling Blockchain Systems via Sharding

Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts

SgxPectre: Stealing Intel Secrets From SGX Enclaves via Speculative Execution

Chiron: Privacy-preserving Machine Learning as a Service

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

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

SGX-LKL: Securing the Host OS Interface for Trusted Execution

An Off-Chip Attack on Hardware Enclaves via the Memory Bus

Single Trace Attack Against RSA Key Generation in Intel SGX SSL

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

MAGE: Mutual Attestation for a Group of Enclaves without Trusted Third Parties


Interchain Standards (ICS) for the Cosmos network & interchain ecosystem.

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

A New Consensus Protocol for Blockchain Interoperability Architecture

The Interblockchain Communication Protocol: An Overview

Distributed Edge Computing with Blockchain Technology to Enable Ultra -Reliable Low-Latency v2x Communications

TrustBoost: Boosting Trust among Interoperable Blockchains

Analyzing the Performance of the Inter-Blockchain Communication Protocol

Interchain Timestamping for Mesh Security

Drawing the Boundaries Between Blockchain and Blockchain-Like Systems: A Comprehensive Survey on Distributed Ledger Technologies

A Circuit Approach to Constructing Blockchains on Blockchains


Reverse engineering and pentesting for Android applications

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection

IEEE Transactions on Information Forensics and Security

StoryDroid: Automated Generation of Storyboard for Android Apps

An Analysis of Pre-installed Android Software

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware

IEEE Transactions on Network Science and Engineering

A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis


HACL*, a formally verified cryptographic library written in F*

Verified Low-Level Programming Embedded in F*

CT-wasm: type-driven secure cryptography for the web ecosystem

Binsec/Rel: Efficient Relational Symbolic Execution for Constant-Time at Binary-Level

CryptOpt: Verified Compilation with Randomized Program Search for Cryptographic Primitives


Stable Diffusion web UI

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

4M: Massively Multimodal Masked Modeling

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

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

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

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

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

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

New Job, New Gender? Measuring the Social Bias in Image Generation Models

Fake or JPEG? Revealing Common Biases in Generated Image Detection
  Datasets

Revisiting Permutation Symmetry for Merging Models between Different Datasets


LLM training code for Databricks foundation models

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

Efficient Large Language Models: A Survey

LoRA Learns Less and Forgets Less

SlimPajama-DC: Understanding Data Combinations for LLM Training

DsDm: Model-Aware Dataset Selection with Datamodels

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

DataComp-LM: In search of the next generation of training sets for
  language models

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

Zero-Resource Hallucination Prevention for Large Language Models

Perplexed by Perplexity: Perplexity-Based Data Pruning With Small
  Reference Models


Kubernetes Native Edge Computing Framework (project under CNCF)

Fog Function: Serverless Fog Computing for Data Intensive IoT Services

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

MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum

Computing Power Network: A Survey

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

Named Data Networking Based Disaster Response Support System over Edge Computing Infrastructure

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing

An empirical study of vulnerabilities in edge frameworks to support security testing improvement

Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network

Oakestra white paper: An Orchestrator for Edge Computing


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

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

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

Convolutional Pose Machines

Hand Keypoint Detection in Single Images using Multiview Bootstrapping

Whole-Body Human Pose Estimation in the Wild

Neural Sign Language Translation based on Human Keypoint Estimation

A Survey of Deep Learning for Scientific Discovery

A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

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

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


The code coverage tool for Python

Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

Large Language Models are Edge-Case Fuzzers: Testing Deep Learning Libraries via FuzzGPT

Fuzzing Automatic Differentiation in Deep-Learning Libraries

WhiteFox: White-Box Compiler Fuzzing Empowered by Large Language Models

Integration of Structured Biological Data Sources using Biological Expression Language

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions

Modular software for real-time quantum control systems

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation

AmPyfier: Test amplification in Python


A data standard to enable right-of-way regulation and two-way communication between mobility companies and local governments.

Digital Twins From Smart Manufacturing to Smart Cities: A Survey


TURTLEDOVE

Differentially Private Continual Releases of Streaming Frequency Moment Estimations

Masked LARk: Masked Learning, Aggregation and Reporting worKflow

Differentially Private Stream Processing at Scale

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)

About evaluation metrics for contextual uplift modeling


G+Smo (pronounced gismo or gizmo) is a C++ library for isogeometric analysis (IGA). Geometry plus simulation modules aims at the seamless integration of Computer-aided Design (CAD) and Finite Element Analysis (FEA).

Inexact IETI-DP for conforming isogeometric multi-patch discretizations

Stable discretizations and IETI-DP solvers for the Stokes system in multi-patch IgA

Multigrid solvers for isogeometric discretizations of the second biharmonic problem

Dual-Primal Isogeometric Tearing and Interconnecting methods for the Stokes problem

IETI-DP for Conforming Multi-Patch Isogeometric Analysis in Three Dimensions


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

Theano: A Python framework for fast computation of mathematical expressions

Theano: new features and speed improvements

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

On Deep Learning-Based Channel Decoding

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

Abstractive Document Summarization with a Graph-Based Attentional Neural Model

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

Online and Linear-Time Attention by Enforcing Monotonic Alignments

Modeling Multi-turn Conversation with Deep Utterance Aggregation

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

Biomedical Signal Processing and Control

Deep learning in electron microscopy

Machine Learning: Science and Technology


The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models

InstructPipe: Building Visual Programming Pipelines with Human Instructions

Bilateral Reference for High-Resolution Dichotomous Image Segmentation

Jigsaw: Supporting Designers to Prototype Multimodal Applications by Chaining AI Foundation Models

GenAgent: Build Collaborative AI Systems with Automated Workflow
  Generation -- Case Studies on ComfyUI

OmniGen: Unified Image Generation


Dockerfile linter, validate inline bash, written in Haskell

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

International Conference on Software Engineering

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

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

Revisiting Dockerfiles in Open Source Software Over Time

A Dataset of Dockerfiles

Fixing Dockerfile Smells: An Empirical Study

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

DRIVE: Dockerfile Rule Mining and Violation Detection

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

Wireless Communications and Mobile Computing

Empirical Study of the Docker Smells Impact on the Image Size


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

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

Arthritis & rheumatology (Hoboken, N.J.)

Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size

Global patterns and drivers of soil total phosphorus concentration

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

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

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

International journal of medical sciences

Feature Interaction in Terms of Prediction Performance

Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula

Selecting the Suitable Resampling Strategy for Imbalanced Data Classification Regarding Dataset Properties. An Approach Based on Association Models

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


K Semantics of the Ethereum Virtual Machine (EVM)

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Raziel: Private and Verifiable Smart Contracts on Blockchains

Smart Contract Vulnerability Detection Technique: A Survey

Ethereum's Recursive Length Prefix in ACL2

Making Tezos smart contracts more reliable with Coq

Leveraging Applications of Formal Methods


Apache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics

A high-resolution transcriptomic and spatial atlas of cell types in the whole mouse brain

bioRxiv : the preprint server for biology

Unified Training of Universal Time Series Forecasting Transformers

Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats

An Empirical Evaluation of Columnar Storage Formats

The O2 software framework and GPU usage in ALICE online and offline
  reconstruction in Run 3

Data Analysis using ALICE Run 3 Framework

Optimizing Dataflow Systems for Scalable Interactive Visualization

Proceedings of the ACM on Management of Data

audb -- Sharing and Versioning of Audio and Annotation Data in Python

Architecting Intermediate Layers for Efficient Composition of Data Management and Machine Learning Systems


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

Analyzing Leakage of Personally Identifiable Information in Language Models

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

Meeting of the Association for Computational Linguistics

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

FairCLIP: Harnessing Fairness in Vision-Language Learning

Hero: On the Chaos When PATH Meets Modules

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

Privacy-Preserving Redaction of Diagnosis Data through Source Code Analysis

International Conference on Statistical and Scientific Database Management

Large Language Models are Advanced Anonymizers


ApsimX is the next generation of APSIM

Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning

Nitrate Uptake from an Aquifer by Two Plantation Forests: Plausibility Strengthened by Process-Based Modelling


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

Darts: User-Friendly Modern Machine Learning for Time Series

Merlion: A Machine Learning Library for Time Series

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

A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model


Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

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

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Bag of Tricks for Image Classification with Convolutional Neural Networks

BSN: Boundary Sensitive Network for Temporal Action Proposal Generation

BMN: Boundary-Matching Network for Temporal Action Proposal Generation

PyramidBox: A Context-assisted Single Shot Face Detector

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

Towards Conversational Recommendation over Multi-Type Dialogs

Proactive Human-Machine Conversation with Explicit Conversation Goals


Iroha - A simple, enterprise-grade decentralized ledger

Blockchain Consensus Protocols in the Wild

ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems

YAC: BFT Consensus Algorithm for Blockchain

Towards Global Asset Management in Blockchain Systems

An In-Depth Review on Blockchain Simulators for IoT Environments

AdaChain: A Learned Adaptive Blockchain

Blockchains' federation for integrating distributed health data using a patient-centered approach

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

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


Logistics & marketplace platform. Only for worker-owned business.


Sui, a next-generation smart contract platform with high throughput, low latency, and an asset-oriented programming model powered by the Move programming language

Shoal: Improving DAG-BFT Latency And Robustness

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Mysticeti: Low-Latency DAG Consensus with Fast Commit Path

HammerHead: Leader Reputation for Dynamic Scheduling

Mitigation of liveness attacks in DAG-based ledgers

Fairness Notions in DAG-based DLTs

Teaching Machines to Code: Smart Contract Translation with LLMs

Pilotfish: Distributed Transaction Execution for Lazy Blockchains

Order but Not Execute in Order


BOLT: Basis of Lightning Technology (Lightning Network Specifications)

Discharged Payment Channels: Quantifying the Lightning Network's Resilience to Topology-Based Attacks

Interledger Approaches

Congestion Attacks in Payment Channel Networks

A Survey of Layer-Two Blockchain Protocols

An Empirical Analysis of Privacy in the Lightning Network

Flood & Loot: A Systemic Attack On The Lightning Network

Hijacking Routes in Payment Channel Networks: A Predictability Tradeoff

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

The evolving topology of the Lightning Network: Centralization, efficiency, robustness, synchronization, and anonymity

How to profit from payments channels


AWS ParallelCluster is an AWS supported Open Source cluster management tool to deploy and manage HPC clusters in the AWS cloud.

GROMACS in the Cloud: A Global Supercomputer to Speed Up Alchemical Drug Design

Journal of chemical information and modeling

Improving Neural Topic Models using Knowledge Distillation

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

Journal of Advances in Modeling Earth Systems

Comprehensive identification of somatic nucleotide variants in human brain tissue

Development of a High Throughput Cloud-Based Data Pipeline for 21 cm Cosmology


Java DSL for easy testing of REST services

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

Testing RESTful APIs: A Survey

Will Dependency Conflicts Affect My Program's Semantics?

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs


Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Decoupled Weight Decay Regularization

Automatic differentiation in PyTorch

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Spectral Normalization for Generative Adversarial Networks

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

SMASH: One-Shot Model Architecture Search through HyperNetworks

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

Explainable Prediction of Medical Codes from Clinical Text

Quicksilver: Fast predictive image registration – A deep learning approach


Useful extensions to the standard Python datetime features

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

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning

Expiry date recognition using deep neural networks

International Joural of User-System Interaction

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Formalizing Date Arithmetic and Statically Detecting Ambiguities for the Law


21st century AD

Differentiable Programming Tensor Networks

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Automatic differentiation of dominant eigensolver and its applications in quantum physics

Universal Adversarial Examples and Perturbations for Quantum Classifiers

Enhancing Quantum Adversarial Robustness by Randomized Encodings

Differentiable Physics: A Position Piece

NeuralFMU: Presenting a workflow for integrating hybrid NeuralODEs into real world applications

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models

Symplectic Autoencoders for Model Reduction of Hamiltonian Systems

variPEPS -- a versatile tensor network library for variational ground state simulations in two spatial dimensions


FlatBuffers: Memory Efficient Serialization Library

A Survey of JSON-compatible Binary Serialization Specifications

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

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Annual International Computer Software and Applications Conference

Analysis of Include Dependencies in C++ Source Code

Federated Conference on Computer Science and Information Systems

The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression

Static analysis of functors’ mathematical properties in C++ source code

Az Eszterházy Károly Tanárképző Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Az Eszterházy Károly Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Annales mathematicae et informaticae

Generating High-Performance FPGA Accelerator Designs for Big Data Analytics with Fletcher and Apache Arrow


Core repository for Sawtooth Distributed Ledger

Blockchain Consensus Protocols in the Wild

Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric

The Gap Game

SYSTOR'18: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence

International Journal of Interactive Multimedia and Artificial Intelligence

Distributed service‐level agreement management with smart contracts and blockchain

Concurrency and Computation: Practice and Experience

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains

Research Perspectives and Challenges of Blockchain for Data-Intensive and Resource-Constrained Devices

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering


Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Attention-based LSTM for Aspect-level Sentiment Classification

Empirical Methods in Natural Language Processing

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

TabNet: Attentive Interpretable Tabular Learning

Stock Price Prediction via Discovering Multi-Frequency Trading Patterns

AdaRNN: Adaptive Learning and Forecasting of Time Series

Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport

Qlib: An AI-oriented Quantitative Investment Platform

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

HIST: A Graph-based Framework for Stock Trend Forecasting via Mining Concept-Oriented Shared Information

MetaTrader: An Reinforcement Learning Approach Integrating Diverse Policies for Portfolio Optimization

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


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

Development of 3-D Rift Heterogeneity Through Fault Network Evolution

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

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

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

Changes in core-mantle boundary heat flux patterns throughout the supercontinent cycle

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

Trench migration and slab buckling control the formation of the Central Andes

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


Graphical Java application for managing BibTeX and biblatex (.bib) databases

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

User Interface Design Smell: Automatic Detection and Refactoring of Blob Listeners

Warm-Starting and Quantum Computing: A Systematic Mapping Study

Software publications with rich metadata: state of the art, automated workflows and HERMES concept

Internal Quality Evolution of Open-Source Software Systems

Designing for Cognitive Diversity: Improving the GitHub Experience for Newcomers

Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies


High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

Determining cross sections from transport coefficients using deep neural networks

An examination of school reopening strategies during the SARS-CoV-2 pandemic

medRxiv : the preprint server for health sciences

Self-consistent electron–THF cross sections derived using data-driven swarm analysis with a neural network model

Construction of Rosenbrock–Wanner method Rodas5P and numerical benchmarks within the Julia Differential Equations package

Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations


Bitcoin Core integration/staging tree

Majority is not Enough: Bitcoin Mining is Vulnerable

Bitcoin-NG: A Scalable Blockchain Protocol

Deanonymisation of clients in Bitcoin P2P network

The Miner's Dilemma

Security Services Using Blockchains: A State of the Art Survey

IEEE Communications Surveys and Tutorials

Decentralization in Bitcoin and Ethereum Networks

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

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

Scaling Nakamoto Consensus to Thousands of Transactions per Second


LAPACK development repository

Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software

Extended and improved criss-cross algorithms for computing the spectral value set abscissa and radius

Proposed Consistent Exception Handling for the BLAS and LAPACK

Vectorization of a Thread-Parallel Jacobi Singular Value Decomposition Method

Tightening I/O Lower Bounds through the Hourglass Dependency Pattern

PyTracer: Automatically Profiling Numerical Instabilities in Python

Numerical analysis of Givens rotation


State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Wide & Deep Learning for Recommender Systems

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

ACM Transactions on Computing for Healthcare

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

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

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation


State-of-the-Art Text Embeddings

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation

ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

On the Sentence Embeddings from Pre-trained Language Models

Text Embeddings by Weakly-Supervised Contrastive Pre-training

Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring Tasks

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

SelfDoc: Self-Supervised Document Representation Learning

Inductive Entity Representations from Text via Link Prediction

SciSight: Combining faceted navigation and research group detection for COVID-19 exploratory scientific search


Your window into the Elastic Stack

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

On the Generation of Medical Question-Answer Pairs

Scholarly knowledge graphs through structuring scholarly communication: a review

Duplicate Bug Report Detection: How Far Are We?

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

From one to hundreds: multi-licensing in the JavaScript ecosystem

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

Backports: Change Types, Challenges and Strategies

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

Darknet Data Mining -- A Canadian Cyber-crime Perspective


Find, verify, and analyze leaked credentials

What are the Practices for Secret Management in Software Artifacts?

SecretBench: A Dataset of Software Secrets

Secrets Revealed in Container Images: An Internet-wide Study on Occurrence and Impact

Proceedings of the ACM Asia Conference on Computer and Communications Security

Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry

What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts?

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

A Comparative Study of Software Secrets Reporting by Secret Detection Tools


Lean 4 programming language and theorem prover

The Lean 4 Theorem Prover and Programming Language

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

Tabled Typeclass Resolution

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

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

Proceedings of the ACM on programming languages

Multiple-Inheritance Hazards in Dependently-Typed Algebraic Hierarchies


An open source library for deep learning end-to-end dialog systems and chatbots.

Neural Architectures for Named Entity Recognition

Pre-trained models for natural language processing: A survey

LSTM-based Deep Learning Models for Non-factoid Answer Selection

Hybrid Code Networks: practical and efficient end-to-end dialog control with supervised and reinforcement learning

Adaptation of Deep Bidirectional Multilingual Transformers for Russian Language

Application of a Hybrid Bi-LSTM-CRF model to the task of Russian Named Entity Recognition

Pre-training Polish Transformer-based Language Models at Scale

WikiBERT models: deep transfer learning for many languages

Cross-lingual alignments of ELMo contextual embeddings

Evaluation of contextual embeddings on less-resourced languages


OpenMMLab Pose Estimation Toolbox and Benchmark.

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

Microsoft COCO: Common Objects in Context

Squeeze-and-Excitation Networks

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Aggregated Residual Transformations for Deep Neural Networks

ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices

Searching for MobileNetV3


Spring Boot helps you to create Spring-powered, production-grade applications and services with absolute minimum fuss.

RefDiff: Detecting Refactorings in Version Histories

Learning Semantic Program Embeddings with Graph Interval Neural Network

What Makes a Good Commit Message?

Proceedings of the 44th International Conference on Software Engineering

Towards a catalog of composite refactorings

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing
  Tool and a Benchmark for Evaluating the Accuracy of Diff Tools

On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study

Verifying Semantic Conflict-Freedom in Three-Way Program Merges

SPViz: A DSL-Driven Approach for Software Project Visualization Tooling


The Fast Cross-Platform Package Manager

Streamlining data-intensive biology with workflow systems

AutoEFT: Automated operator construction for effective field theories

The seeker R package: simplified fetching and processing of transcriptome data

Snaq: A Dynamic Snakemake Pipeline for Microbiome Data Analysis With QIIME2

Whole-genome bisulfite sequencing data analysis learning module on Google Cloud Platform


Generic programming for Scala

System FR: formalized foundations for the stainless verifier

Proceedings of the ACM on Programming Languages

Typesafe abstractions for tensor operations (short paper)

Scala implicits are everywhere: a large-scale study of the use of Scala implicits in the wild


R's data.table package extends data.frame:

Consortia of low-abundance bacteria drive sulfate reduction-dependent degradation of fermentation products in peat soil microcosms

Cardiovascular screening to reduce the burden from cardiovascular disease: microsimulation study to quantify policy options

Dissecting OCT4 defines the role of nucleosome binding in pluripotency

Quantifying the impact of the Public Health Responsibility Deal on salt intake, cardiovascular disease and gastric cancer burdens: interrupted time series and microsimulation study

Journal of epidemiology and community health

Characterization of degradation and heterozygote balance by simulation of the forensic DNA analysis process

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Mendelian Randomization Analysis Identifies Blood Tyrosine Levels as a Biomarker of Non-Alcoholic Fatty Liver Disease

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

m6A reader Pho92 is recruited co-transcriptionally and couples translation efficacy to mRNA decay to promote meiotic fitness in yeast

FDA Sodium Reduction Targets and the Food Industry: Are There Incentives to Reformulate? Microsimulation Cost‐Effectiveness Analysis


Eclipse Mosquitto - An open source MQTT broker

SlowITe, a Novel Denial of Service Attack Affecting MQTT

SlowTT: A Slow Denial of Service against IoT Networks

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols

MUP: Simplifying Secure Over-The-Air Update with MQTT for Constrained IoT Devices

A Performance Study on the Throughput and Latency of Zenoh, MQTT, Kafka, and DDS

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

Protocol State Machine Reverse Engineering with a Teaching-Learning Approach


Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Attention Is All You Need

RoBERTa: A Robustly Optimized BERT Pretraining Approach

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Neural Machine Translation of Rare Words with Subword Units

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

BERTScore: Evaluating Text Generation with BERT

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Convolutional Sequence to Sequence Learning

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Dissecting Contextual Word Embeddings: Architecture and Representation


AutoML library for deep learning

Auto-Keras: An Efficient Neural Architecture Search System

AutoML to Date and Beyond: Challenges and Opportunities

Techniques for Automated Machine Learning

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of Network and Computer Applications

Data-driven geophysics: from dictionary learning to deep learning

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

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

Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning

AutoM3L: An Automated Multimodal Machine Learning Framework with Large
  Language Models


Topic Modelling for Humans

Software Framework for Topic Modelling with Large Corpora

Recurrent Neural Network for Text Classification with Multi-Task Learning

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Statistically Significant Detection of Linguistic Change

Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Neural Vector Spaces for Unsupervised Information Retrieval

ACM transactions on office information systems

TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network

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

Computing inter-document similarity with Context Semantic Analysis

ATR4S: toolkit with state-of-the-art automatic terms recognition methods in Scala


Google's Operations Research tools:

Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

International Journal of Production Research

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

A Constraint Programming Approach to Simultaneous Task Allocation and Motion Scheduling for Industrial Dual-Arm Manipulation Tasks

Learning Variable Ordering Heuristics for Solving Constraint Satisfaction Problems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale Generalization

Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B

On the Impact of Open Parcel Lockers on Traffic

Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX

Keeping Less is More: Point Sparsification for Visual SLAM

Synergistic Team Composition


A collective list of free APIs

ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases

API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

OpenAgents: An Open Platform for Language Agents in the Wild

Granite-Function Calling Model: Introducing Function Calling Abilities
  via Multi-task Learning of Granular Tasks

You Can REST Now: Automated Specification Inference and Black-Box
  Testing of RESTful APIs with Large Language Models

Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning


The COnstraint-Based Reconstruction and Analysis Toolbox.              Documentation:

Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease

Personalized whole‐body models integrate metabolism, physiology, and the gut microbiome

Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0

Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease

CHRR: coordinate hit-and-run with rounding for uniform sampling of constraint-based models

Generalized framework for context-specific metabolic model extraction methods

MetaboTools: A comprehensive toolbox for analysis of genome-scale metabolic models

Model-based assessment of mammalian cell metabolic functionalities using omics data

Identification of Conserved Moieties in Metabolic Networks by Graph Theoretical Analysis of Atom Transition Networks

Microbiome Modelling Toolbox 2.0: efficient, tractable modelling of microbiome communities


Open Energy Dashboard (OED)


Production First and Production Ready End-to-End Speech Recognition Toolkit

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

Conformer: Convolution-augmented Transformer for Speech Recognition

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

WeNet: Production oriented Streaming and Non-streaming End-to-End Speech Recognition Toolkit

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech Recognition

Self-supervised Learning with Random-projection Quantizer for Speech Recognition

WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit

FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech Recognition

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition


Solidity, the Smart Contract Programming Language

Metaverse for Social Good: A University Campus Prototype

Beh-Raft-Chain: A Behavior-Based Fast Blockchain Protocol for Complex Networks

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

Decentralized Applications: The Blockchain-Empowered Software System

MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Vandal: A Scalable Security Analysis Framework for Smart Contracts

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Workshop in Information Security Theory and Practice

Defining Smart Contract Defects on Ethereum

A Concurrent Perspective on Smart Contracts


Optimizer and compiler/toolchain library for WebAssembly

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

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

Next-generation Web Applications with WebAssembly and TruffleWasm

International Convention on Information and Communication Technology, Electronics and Microelectronics

Madvex: Instrumentation-based Adversarial Attacks on Machine Learning Malware Detection

Accelerating In-Browser Deep Learning Inference on Diverse Edge Clients through Just-in-Time Kernel Optimizations

WASMixer: Binary Obfuscation for WebAssembly


The reference implementation of the Linux FUSE (Filesystem in Userspace) interface

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

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

Computing Environments for Reproducibility: Capturing the "Whole Tale"

Threat Detection and Investigation with System-level Provenance Graphs: A Survey

High Velocity Kernel File Systems with Bento

A quantitative review of data formats for HEP analyses

CFS: A Distributed File System for Large Scale Container Platforms

Where Is My Training Bottleneck? Hidden Trade-Offs in Deep Learning Preprocessing Pipelines

Proceedings of the 2022 International Conference on Management of Data

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

Proceedings of the Practice and Experience on Advanced Research Computing

Agility in Software 2.0 -- Notebook Interfaces and MLOps with Buttresses and Rebars

Secure Cloud Storage with Client-side Encryption using a Trusted Execution Environment

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND SERVICES SCIENCE (CLOSER)


World's fastest and most advanced password recovery utility

PassGAN: A Deep Learning Approach for Password Guessing

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

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

Generative Deep Learning Techniques for Password Generation

A Systematic Review on Password Guessing Tasks

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


SOTA low-bit LLM quantization (INT8/FP8/INT4/FP4/NF4) & sparsity; leading model compression techniques on TensorFlow, PyTorch, and ONNX Runtime

Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs

Efficient Post-training Quantization with FP8 Formats

Model Compression in Practice: Lessons Learned from Practitioners Creating On-device Machine Learning Experiences

Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference

Proceedings of the CHI Conference on Human Factors in Computing Systems

TEQ: Trainable Equivalent Transformation for Quantization of LLMs

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

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on
  Edge

QuaLA-MiniLM: a Quantized Length Adaptive MiniLM

Fast DistilBERT on CPUs

torchdistill Meets Hugging Face Libraries for Reproducible, Coding-Free Deep Learning Studies: A Case Study on NLP


JDK main-line development https://openjdk.org/projects/jdk

Adaptive Shivers Sort: An Alternative Sorting Algorithm

Tell-Tale Tail Latencies: Pitfalls and Perils in Database Benchmarking

Profiling and Optimizing Java Streams

SBOM.EXE: Countering Dynamic Code Injection based on Software Bill of
  Materials in Java

Pattern-Based Peephole Optimizations with Java JIT Tests

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

Galloping in fast-growth natural merge sorts

Java JIT Testing with Template Extraction

Sound Atomicity Inference for Data-Centric Synchronization

Verifying C++ Dynamic Binding


Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.

A comprehensive study of bloated dependencies in the Maven ecosystem

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction

Mutation testing in the wild: findings from GitHub

Zenodo (CERN European Organization for Nuclear Research)

Alleviating Merge Conflicts with Fine-grained Visual Awareness

State‐of‐the‐practice in quality assurance in Java‐based open source software development

A Novel Refactoring and Semantic Aware Abstract Syntax Tree Differencing
  Tool and a Benchmark for Evaluating the Accuracy of Diff Tools

Understanding and Detecting Annotation-Induced Faults of Static
  Analyzers

Long Method and Long Parameter List Code Smells Detection using Functional and Semantic Characteristics

International Journal of Recent Technology and Engineering (IJRTE)


Qt Base (Core, Gui, Widgets, Network, ...)

Code smells detection via modern code review: a study of the OpenStack and Qt communities

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

Demystifying Code Snippets in Code Reviews: A Study of the OpenStack and Qt Communities and A Practitioner Survey


Official repository for WebPageTest

Demystifying TCP Initial Window Configurations of Content Distribution Networks

Who Watches the Watchmen: Exploring Complaints on the Web

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

Oh, What a Fragile Web We Weave: Third-party Service Dependencies In Modern Webservices and Implications


:microscope::books: Galaxy Tool wrappers

Open source molecular modeling

Journal of molecular graphics & modelling

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

antaRNA – Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization

Differences in activity and stability drive transposable element variation in tropical and temperate maize

The RNA workbench 2.0: next generation RNA data analysis

GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering

Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine

Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries

Distinct mechanisms mediate X chromosome dosage compensation in Anopheles and Drosophila

Role of Staphylococcus agnetis and Staphylococcus hyicus in the Pathogenesis of Buffalo Fly Skin Lesions in Cattle


State of the Art Natural Language Processing

Spark NLP: Natural Language Understanding at Scale

Machine Learning Meets Natural Language Processing -- The story so far

Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment

Extraction of Medication and Temporal Relation from Clinical Text using Neural Language Models


Modular data acquisition framework

A quantum engineer's guide to superconducting qubits

Computing with spin qubits at the surface code error threshold

Multiplexed quantum transport using commercial off-the-shelf CMOS at sub-kelvin temperatures

Electron cascade for distant spin readout

Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features

Magnetic-field dependence of a Josephson traveling-wave parametric amplifier and integration into a high-field setup


JavaScript library for mobile-friendly interactive maps

TriatoKey: a web and mobile tool for biodiversity identification of Brazilian triatomine species

Database : the journal of biological databases and curation

Machine learning for automatic detection of historic stone walls using LiDAR data

The Temporality of Disaster: Data, the Emergency, and Climate Change

FitsMap: A simple, lightweight tool for displaying interactive astronomical image and catalog data

Impact of geolocation data on augmented reality usability: A comparative user test

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

CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles