Machine learning on FPGAs using HLS

Fast inference of deep neural networks in FPGAs for particle physics

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

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

Fast convolutional neural networks on FPGAs with hls4ml

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

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

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Graph Neural Networks for Charged Particle Tracking on FPGAs

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

QONNX: Representing Arbitrary-Precision Quantized Neural Networks


Main Sigma Rule Repository

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI

Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments

Asia-Pacific Computer Systems Architecture Conference

On the Integration of Course of Action Playbooks into Shareable Cyber Threat Intelligence

Key Requirements for the Detection and Sharing of Behavioral Indicators of Compromise

ChatIDS: Explainable Cybersecurity Using Generative AI

Time-Window Based Group-Behavior Supported Method for Accurate Detection of Anomalous Users

Building Machine Learning-based Threat Hunting System from Scratch

VloGraph: A Virtual Knowledge Graph Framework for Distributed Security Log Analysis

Machine Learning and Knowledge Extraction

SoK: The MITRE ATT&CK Framework in Research and Practice

Modelling Indicators of Behaviour for Cyber Threat Hunting via Sysmon

PROCEEDINGS OF THE 2024 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2024


Public development project of the LAMMPS MD software package

Assessment and optimization of the fast inertial relaxation engine (fire) for energy minimization in atomistic simulations and its implementation in lammps

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

Better Data Labelling With EMBLEM (and how that Impacts Defect Prediction)

Scaling the Leading Accuracy of Deep Equivariant Models to Biomolecular Simulations of Realistic Size

Nano-topology optimization for materials design with atom-by-atom control

Rapid Exploration of Optimization Strategies on Advanced Architectures using TestSNAP and LAMMPS

The Anomalous Behavior of Thermodynamic Parameters in the Three Widom Deltas of Carbon Dioxide-Ethanol Mixture

International journal of molecular sciences

Anisotropic molecular coarse-graining by force and torque matching with neural networks

Hydrogen Diffusion in the Lower Mantle Revealed by Machine Learning Potentials

Instantaneous normal modes of glass-forming liquids during the athermal relaxation process of the steepest descent algorithm


This coq library aims to formalize a substantial body of mathematics using the univalent point of view.

The Simplicial Model of Univalent Foundations (after Voevodsky)

Heterogeneous substitution systems revisited

On the homotopy groups of spheres in homotopy type theory

Displayed Categories

Internalizing Representation Independence with Univalence

Formalizing category theory in Agda

Developments in Formal Proofs

Formal metatheory of second-order abstract syntax

Proceedings of the ACM on programming languages

Bicategories in Univalent Foundations

Domain Theory in Constructive and Predicative Univalent Foundations


Hyperledger Aries is infrastructure for blockchain-rooted, peer-to-peer interactions

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

Self-Sovereign Identity: A Systematic Review, Mapping and Taxonomy

Privacy and Trust Redefined in Federated Machine Learning

A Distributed Trust Framework for Privacy-Preserving Machine Learning

Full-text Search for Verifiable Credential Metadata on Distributed Ledgers

Self-Sovereign Identity als Grundlage für universell einsetzbare digitale Identitäten

A Decentralized Identity-Based Blockchain Solution for Privacy-Preserving Licensing of Individual-Controlled Data to Prevent Unauthorized Secondary Data Usage

A Tutorial on the Interoperability of Self-sovereign Identities

DID Link: Authentication in TLS with Decentralized Identifiers and
  Verifiable Credentials

Interoperable Selbstsouveräne Identitäten: Ein Digital Markets Act für Endnutzer?


REMIND - REgional Model of INvestments and Development

Combining ambitious climate policies with efforts to eradicate poverty

Zenodo (CERN European Organization for Nuclear Research)

REMIND2.1: Transformation and innovation dynamics of the energy-economic system within climate and sustainability limits

Alternative carbon price trajectories can avoid excessive carbon removal

Air quality co-benefits of ratcheting up the NDCs

Deep decarbonisation of buildings energy services through demand and supply transformations in a 1.5°C scenario

Long-term economic benefits of stabilizing warming without overshoot – the ENGAGE model intercomparison

The Resource Demand of Terawatt-Scale Perovskite Tandem Photovoltaics

Bidirectional coupling of a long-term integrated assessment model REMIND v3.0.0 with an hourly power sector model DIETER v1.0.2


Validator for the Brain Imaging Data Structure

A 204-subject multimodal neuroimaging dataset to study language processing

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

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

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

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

The Past, Present, and Future of the Brain Imaging Data Structure (BIDS)

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

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

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

Hierarchical Event Descriptor library schema for EEG data annotation


Seamless operability between C++11 and Python

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

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

Qulacs: a fast and versatile quantum circuit simulator for research purpose

starry: Analytic Occultation Light Curves

The gem5 Simulator: Version 20.0+

A parallel global multiobjective framework for optimization: pagmo

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

The DUNE Framework: Basic Concepts and Recent Developments

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

Deeptime: a Python library for machine learning dynamical models from time series data


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

Agents: An Open-source Framework for Autonomous Language Agents

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

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

Prompting Frameworks for Large Language Models: A Survey

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

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

Differential Privacy of Cross-Attention with Provable Guarantee


Benchmarks of approximate nearest neighbor libraries in Python

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

Visualizing Large-scale and High-dimensional Data

Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

IEEE Transactions on Knowledge and Data Engineering

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

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

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Collaborative Similarity Embedding for Recommender Systems

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Learning to Route in Similarity Graphs

Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement (v1.0)


Guice (pronounced 'juice') is a lightweight dependency injection framework for Java 11 and above, brought to you by Google.

AutoAnnotate: A Cytoscape app for summarizing networks with semantic annotations

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

TermGenie – a web-application for pattern-based ontology class generation

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

mUzima Mobile Electronic Health Record (EHR) System: Development and Implementation at Scale

Integrating formal specifications into applications: the ProB Java API

Dependency Injection for Programming by Optimization

CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations

Engineering testable and maintainable software with Spring Boot and React

How Testable is Business Software?


NLTK Source

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

On the Evaluation of Neural Code Summarization

Proceedings of the 44th International Conference on Software Engineering

Generating Expressions that Refer to Visible Objects

North American Chapter of the Association for Computational Linguistics

Jointly Learning to Align and Summarize for Neural Cross-Lingual Summarization

Meeting of the Association for Computational Linguistics

Udapi: Universal API for Universal Dependencies

FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning

BNLP: Natural language processing toolkit for Bengali language

DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network

Text with Knowledge Graph Augmented Transformer for Video Captioning

Position-guided Text Prompt for Vision-Language Pre-training


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

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

End-to-End Speech Recognition: A Survey

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


fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

fMRIPrep: a robust preprocessing pipeline for functional MRI

Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis

IEEE transactions on bio-medical engineering

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Vagus nerve stimulation increases stomach-brain coupling via a vagal afferent pathway

The control of tonic pain by active relief learning

Pain-related fear – Dissociable neural sources of different fear constructs

3D Deformable Convolutions for MRI classification

Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation

Brain signaling dynamics after vagus nerve stimulation

Brain Modelling as a Service: The Virtual Brain on EBRAINS


RAJA Performance Portability Layer (C++)

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

Domain-Specific Multi-Level IR Rewriting for GPU

Efficient exascale discretizations: High-order finite element methods

The international journal of high performance computing applications

Grid: OneCode and FourAPIs

Modeling of advanced accelerator concepts

A Theoretical Model for Global Optimization of Parallel Algorithms

Portability: A Necessary Approach for Future Scientific Software

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

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

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

Challenges Porting a C++ Template-Metaprogramming Abstraction Layer to Directive-based Offloading


Modelica Buildings library


A model generator for energy system modelling and optimisation (LP/MILP).

oemof.solph—A model generator for linear and mixed-integer linear optimisation of energy systems


hydra

Sparks of Artificial General Intelligence: Early experiments with GPT-4

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT

PROCEEDINGS OF THE 2021 IEEE 7TH INTERNATIONAL CONFERENCE ON NETWORK SOFTWARIZATION (NETSOFT 2021): ACCELERATING NETWORK SOFTWARIZATION IN THE COGNITIVE AGE

Vulnerabilities in IoT Devices for Smart Home Environment

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security


Automatic extraction of relevant features from time series:

Distributed and parallel time series feature extraction for industrial big data applications

Use of machine-learning algorithms to determine features of systolic blood pressure variability that predict poor outcomes in hypertensive patients

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems

Dataset: Rare Event Classification in Multivariate Time Series

Explorative Data Analysis of Time Series based AlgorithmFeatures of CMA-ES Variants

Feature engineering workflow for activity recognition from synchronized inertial measurement units

Communications in computer and information science

Who is Charging My Phone? Identifying Wireless Chargers via Fingerprinting

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


clarin-dspace digital repository based on DSpace and LINDAT/CLARIN DSpace

Inforex --- a collaborative system for text corpora annotation and analysis

Recent Advances in Natural Language Processing

CLARIN: Distributed Language Resources and Technology in a European Infrastructure

Exploring Reusability and Reproducibility for a Research Infrastructure for L1 and L2 Learner Corpora

FLAT: Constructing a CLARIN Compatible Home for Language Resources

The Public License Selector: Making Open Licensing Easier

Creating a learner corpus infrastructure: Experiences from making learner corpora available


Intel® Performance Counter Monitor (Intel® PCM)

Exploiting Near-Data Processing to Accelerate Time Series Analysis

To Partition, or Not to Partition, That is the Join Question in a Real System

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

FortuneTeller: Predicting Microarchitectural Attacks via Unsupervised Deep Learning

Parking Packet Payload with P4

DINOMO

GNNSampler: Bridging the Gap between Sampling Algorithms of GNN and Hardware

A Quantitative Analysis and Guidelines of Data Streaming Accelerator in Modern Intel Xeon Scalable Processors

Characterizing the Performance of Emerging Deep Learning, Graph, and High Performance Computing Workloads Under Interference

Legion: Automatically Pushing the Envelope of Multi-GPU System for Billion-Scale GNN Training

NFSlicer: Data Movement Optimization for Shallow Network Functions


DESC Core Cosmology Library: cosmology routines with validated numerical accuracy

KiDS+VIKING-450: Cosmic shear tomography with optical and infrared data

A unified pseudo-Cℓ framework

Monthly notices of the Royal Astronomical Society

Core Cosmology Library: Precision Cosmological Predictions for LSST

The Astrophysical Journal Supplement Series

The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev-Zel'dovich Galaxy Clusters

The impact of baryons on the matter power spectrum from the Horizon-AGN cosmological hydrodynamical simulation

Monthly Notices of the Royal Astronomical Society

Probing the Fundamental Nature of Dark Matter with the Large Synoptic Survey Telescope

The growth of density perturbations in the last ∼10 billion years from tomographic large-scale structure data

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Erratum: Tomographic measurement of the intergalactic gas pressure through galaxy-tSZ cross-correlations

Joint constraints on cosmology and the impact of baryon feedback: Combining KiDS-1000 lensing with the thermal Sunyaev–Zeldovich effect from Planck and ACT


Official git repository of Elmer FEM software

Sensitivity of centennial mass loss projections of the Amundsen basin to the friction law

Comparison of adjoint and nudging methods to initialise ice sheet model basal conditions

Assimilation of surface observations in a transient marine ice sheet model using an ensemble Kalman filter

Melt at grounding line controls observed and future retreat of Smith, Pope, and Kohler Glaciers

Quantifying the effect of ocean bed properties on ice sheet geometry over 40 000 years with a full-Stokes model

Dynamically coupling full Stokes and shallow shelf approximation for marine ice sheet flow using Elmer/Ice (v8.3)

Buoyant forces promote tidewater glacier iceberg calving through large basal stress concentrations

Numerical modeling of the dynamics of the Mer de Glace glacier, French Alps: comparison with past observations and forecasting of near-future evolution

A new open-source viscoelastic solid earth deformation module implemented in Elmer (v8.4)

Predicting the steady-state isochronal stratigraphy of ice shelves using observations and modeling


Open5GS is a C-language Open Source implementation for 5G Core and EPC, i.e. the core network of LTE/NR network (Release-17)

5G Campus Networks: A First Measurement Study

Tutorial on communication between access networks and the 5G core

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

Video on Demand Streaming Using RL-based Edge Caching in 5G Networks

FBSDetector: Fake Base Station and Multi Step Attack Detection in Cellular Networks using Machine Learning

P3LI5: Practical and confidEntial Lawful Interception on the 5G core


Survival analysis in Python

Development and validation of a deep learning algorithm for improving Gleason scoring of prostate cancer

Explainable AI for Trees: From Local Explanations to Global Understanding

RNA polymerase III limits longevity downstream of TORC1

Constraining the radio-loud fraction of quasars at z>5.5

ASTROPHYSICAL JOURNAL (ISSN 0004-637X) - Protoplanetary Disks in ρ Ophiuchus as Seen from ALMA

Contextual Explanation Networks

ALMA's Polarized View of 10 Protostars in the Perseus Molecular Cloud

A universal transcriptomic signature of age reveals the temporal scaling of Caenorhabditis elegans aging trajectories

Identification of Therapeutic Targets and Prognostic Biomarkers Among Integrin Subunits in the Skin Cutaneous Melanoma Microenvironment

Galaxies Probing Galaxies in PRIMUS. II. The Coherence Scale of the Cool Circumgalactic Medium


Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro

Rethinking Parameter Counting in Deep Models: Effective Dimensionality Revisited

Mobility trends provide a leading indicator of changes in SARS-CoV-2 transmission

tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware

Fast and robust parameter estimation with uncertainty quantification for the cardiac function

A constrained NILC method for CMB B mode observations

Real-time whole-heart electromechanical simulations using Latent Neural Ordinary Differential Equations

Adaptive Tuning for Metropolis Adjusted Langevin Trajectories

Climate & BCG: Effects on COVID-19 Death Growth Rates


OpenMMLab Text Detection, Recognition and Understanding Toolbox

Shape Robust Text Detection with Progressive Scale Expansion Network

Real-time Scene Text Detection with Differentiable Binarization

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network

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

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

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusion

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition


Spring Framework

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

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

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

Refactoring Graphs: Assessing Refactoring over Time

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

Towards a catalog of composite refactorings


A library for working with Bitcoin

Decentralized Applications: The Blockchain-Empowered Software System

Blockchain Evaluation Approaches: State-of-the-Art and Future Perspective

Dietcoin: Hardening Bitcoin Transaction Verification Process For Mobile Devices


The most advanced browser fingerprinting library.

User Tracking in the Post-cookie Era: How Websites Bypass GDPR Consent to Track Users

Web Runner 2049: Evaluating Third-Party Anti-bot Services

The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications

FP-Radar: Longitudinal Measurement and Early Detection of Browser Fingerprinting

A Large-scale Empirical Analysis of Browser Fingerprints Properties for Web Authentication

Steal Your Life Using 5 Cents: Hacking Android Smartphones with NFC Tags

Hfinger: Malware HTTP Request Fingerprinting

Taming The Shape Shifter: Detecting Anti-fingerprinting Browsers


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

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

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

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

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

Zenodo (CERN European Organization for Nuclear Research)

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

Oakestra white paper: An Orchestrator for Edge Computing


Alluxio, data orchestration for analytics and machine learning in the cloud

A comprehensive study of bloated dependencies in the Maven ecosystem

Big data analytics on traditional HPC infrastructure using two-level storage

Proceedings of the 2015 International Workshop on Data-Intensive Scalable Computing Systems

The nature of build changes

Using Information Flow to estimate interference between developers same
  method contributions

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

Study on Resource Efficiency of Distributed Graph Processing

Developing Big Data Infrastructure for Analyzing AIS Vessel Tracking Data on a Global Scale

Verifying temporal specifications of Java programs


Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices

Inference-Optimized AI and High Performance Computing for Gravitational Wave Detection at Scale

An Empirical Study of Challenges in Converting Deep Learning Models

Reusing Deep Learning Models: Challenges and Directions in Software Engineering

ModelObfuscator: Obfuscating Model Information to Protect Deployed ML-Based Systems

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

Edge Devices Inference Performance Comparison

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models


A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

Benchmark and Survey of Automated Machine Learning Frameworks

Automating biomedical data science through tree-based pipeline optimization

Scaling tree-based automated machine learning to biomedical big data with a feature set selector

Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

Proceedings of the ACM on Human-Computer Interaction

AutoML to Date and Beyond: Challenges and Opportunities

A machine learning Automated Recommendation Tool for synthetic biology

Benchmarking Automatic Machine Learning Frameworks

How Much Automation Does a Data Scientist Want?

Bayesian Optimization for Categorical and Category-Specific Continuous Inputs


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


Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

Data Augmentation for Skin Lesion Analysis

OR 2.0 CONTEXT-AWARE OPERATING THEATERS, COMPUTER ASSISTED ROBOTIC ENDOSCOPY, CLINICAL IMAGE-BASED PROCEDURES, AND SKIN IMAGE ANALYSIS, OR 2.0 2018

PiRank: Scalable Learning To Rank via Differentiable Sorting

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations

Sampling weights of deep neural networks

Visualizing and Explaining Language Models

Method and System for Image Analysis to Detect Cancer

DSL Approach to Deep Learning Lifecycle Data Management

mlf-core: a framework for deterministic machine learning

Predictive Uncertainty through Quantization


Platform for building access networks and modular network services

Building Flexible, Low-Cost Wireless Access Networks With Magma

Enabling Mobility in LTE-Compatible Mobile-edge Computing with Programmable Switches

Widening Blockchain Technology toward Access Control for Service Provisioning in Cellular Networks


WarpX is an advanced electromagnetic & electrostatic Particle-In-Cell code.

Particle-in-cell simulation of the neutrino fast flavor instability

Multi-GeV Electron Bunches from an All-Optical Laser Wakefield Accelerator

Porting WarpX to GPU-accelerated platforms

Modeling of a chain of three plasma accelerator stages with the WarpX electromagnetic PIC code on GPUs

Probing Strong-Field QED with Doppler-Boosted Petawatt-Class Lasers.

A particle-in-cell code comparison for ion acceleration: EPOCH, LSP, and WarpX

PICSAR-QED: a Monte Carlo module to simulate strong-field quantum electrodynamics in particle-in-cell codes for exascale architectures

Toward the modeling of chains of plasma accelerator stages with WarpX

Overcoming timestep limitations in boosted-frame Particle-In-Cell simulations of plasma-based acceleration

Snowmass21 Accelerator Modeling Community White Paper


Brotli compression format

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

Safer at any speed: automatic context-aware safety enhancement for Rust

Proceedings of the ACM on Programming Languages

Revisiting Data Compression in Column-Stores

Optimizing IoT and Web Traffic Using Selective Edge Compression

3D Compression Using Neural Fields

Complexity Scaling of Liquid Dynamics


Community maintained fork of pdfminer - we fathom PDF

PathVQA: 30000+ Questions for Medical Visual Question Answering

The Semantic Scholar Open Data Platform

Towards Visual Question Answering on Pathology Images

Meeting of the Association for Computational Linguistics

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions

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

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

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

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

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

The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction.


Zstandard - Fast real-time compression algorithm

FIRE6: Feynman Integral REduction with modular arithmetic

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

PACT '20: PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data

MGARD+: Optimizing Multilevel Methods for Error-bounded Scientific Data Reduction

Is it time to replace gzip? Comparison of modern compressors for molecular sequence databases

JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs


A QUIC implementation in pure Go

A Survey on Recent Advances in Transport Layer Protocols

IEEE Communications Surveys and Tutorials

A First Look at QUIC in the Wild

Passive and Active Network Measurement Conference

A QUIC Implementation for ns-3

rQUIC: Integrating FEC with QUIC for Robust Wireless Communications

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

Adding Forward Erasure Correction to QUIC

FALCON: Fast and Accurate Multipath Scheduling using Offline and Online Learning

Delay and Energy Consumption of MQTT over QUIC: An Empirical Characterization Using Commercial-Off-The-Shelf Devices

ECN with QUIC: Challenges in the Wild

Proceedings of the 2023 ACM on Internet Measurement Conference


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

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

Bilateral Reference for High-Resolution Dichotomous Image Segmentation


FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

Advances and Open Problems in Federated Learning

A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

FedML: A Research Library and Benchmark for Federated Machine Learning

Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Central Server Free Federated Learning over Single-sided Trust Social Networks

Federated Learning Meets Natural Language Processing: A Survey

FedEval: A Holistic Evaluation Framework for Federated Learning

Recent Advances on Federated Learning: A Systematic Survey

FedAudio: A Federated Learning Benchmark for Audio Tasks


Behavior Trees Library in C++. Batteries included.

Behavior Trees in Robotics and AI: An Introduction

A Survey of Behavior Trees in Robotics and AI

The Marathon 2: A Navigation System

On the Implementation of Behavior Trees in Robotics

International Conference on Robotics and Automation

Behavior trees in action: a study of robotics applications

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

Behavior Trees and State Machines in Robotics Applications

Reactive Task Allocation and Planning for Quadrupedal and Wheeled Robot Teaming

Replication package for article: Behavior Trees in Action: A Study of Robotics Applications

HuNavSim: A ROS 2 Human Navigation Simulator for Benchmarking Human-Aware Robot Navigation


Web-app for processing, logging and visualising energy, temperature and other environmental data

Dataset on electrical single-family house and heat pump load profiles in Germany


BCC - Tools for BPF-based Linux IO analysis, networking, monitoring, and more

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

User Space Network Drivers

The Art of CPU-Pinning: Evaluating and Improving the Performance of Virtualization and Containerization Platforms

Programmable Data Gathering for Detecting Stegomalware

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

TEEMon: A continuous performance monitoring framework for TEEs

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF

Dissecting Service Mesh Overheads

bccstego: A Framework for Investigating Network Covert Channels

Zenodo (CERN European Organization for Nuclear Research)

AnyCall: Fast and Flexible System-Call Aggregation

Programming Languages and Operating Systems

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


Marlin is an optimized firmware for RepRap 3D printers based on the Arduino platform. Many commercial 3D printers come with Marlin installed. Check with your vendor if you need source code for your specific machine.

Evolving software system families in space and time with feature revisions

Step-by-step assembly and testing of a low-cost bioprinting solution for research and educational purposes

CubeFactory2 – an Off-Grid and Circular 3D-Printing Mini-Factory

A low-cost open-source automated shot peen forming system


Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

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


The Ultimate program analysis framework.

Ultimate Automizer and the Search for Perfect Interpolants

Tools and Algorithms for Construction and Analysis of Systems

Ultimate Taipan with Symbolic Interpretation and Fluid Abstractions

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Btor2-Cert: A Certifying Hardware-Verification Framework Using Software Analyzers

Tools and Algorithms for the Construction and Analysis of Systems

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


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

Meeting of the Association for Computational Linguistics

Towards Conversational Recommendation over Multi-Type Dialogs

Proactive Human-Machine Conversation with Explicit Conversation Goals


Fast and Accurate ML in 3 Lines of Code

AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data

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

Model-based Asynchronous Hyperparameter and Neural Architecture Search

Benchmarking Multimodal AutoML for Tabular Data with Text Fields

Automatic Termination for Hyperparameter Optimization

Multi-objective Asynchronous Successive Halving

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

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

Convolution Meets LoRA: Parameter Efficient Finetuning for Segment
  Anything Model

AutoGluon-TimeSeries: AutoML for Probabilistic Time Series Forecasting

TabRepo: A Large Scale Repository of Tabular Model Evaluations and its AutoML Applications


Version of the carmen robot framework developed by LCAD for IARA - Intelligent Autonomous Robotic Autonomobile.

Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars

International Joint Conference on Neural Network

Mapping Road Lanes Using Laser Remission and Deep Neural Networks

What is the Best Grid-Map for Self-Driving Cars Localization? An Evaluation under Diverse Types of Illumination, Traffic, and Environment

Memory-like Map Decay for Autonomous Vehicles based on Grid Maps

Bio-Inspired Foveated Technique for Augmented-Range Vehicle Detection Using Deep Neural Networks


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


Python module for quantum chemistry

Gaussian-based coupled-cluster theory for the ground state and band structure of solids

Open source molecular modeling

Journal of molecular graphics & modelling

DMRG-CASPT2 study of the longitudinal static second hyperpolarizability of all-trans polyenes

A time-dependent formulation of multi-reference perturbation theory

Chemical Transformations Approaching Chemical Accuracy via Correlated Sampling in Auxiliary-Field Quantum Monte Carlo.

Journal of chemical theory and computation

A Hybrid Classical/Quantum Approach for Large-Scale Studies of Quantum Systems with Density Matrix Embedding Theory

Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates

Hilbert space renormalization for the many-electron problem

Density Matrix Embedding Theory and Strongly Correlated Lattice Systems


Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Accurate Clinical and Biomedical Named Entity Recognition at Scale

Mining Adverse Drug Reactions from Unstructured Mediums at Scale

Deeper Clinical Document Understanding Using Relation Extraction

Improving Clinical Document Understanding on COVID-19 Research with Spark NLP

Understanding COVID-19 News Coverage using Medical NLP


A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Bilinear Attention Networks

Towards VQA Models That Can Read

The Hateful Memes Challenge: Detecting Hate Speech in Multimodal Memes

How Much Can CLIP Benefit Vision-and-Language Tasks?

A-OKVQA: A Benchmark for Visual Question Answering using World Knowledge

TextCaps: a Dataset for Image Captioning with Reading Comprehension

UniT: Multimodal Multitask Learning with a Unified Transformer

Pythia v0.1: the Winning Entry to the VQA Challenge 2018

Cycle-Consistency for Robust Visual Question Answering


Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

In-Context Learning with Many Demonstration Examples

Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling

uBFT: Microsecond-Scale BFT using Disaggregated Memory

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

CAP-VMs: Capability-Based Isolation and Sharing for Microservices

Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions

HyperLogLog: Exponentially Bad in Adversarial Settings

Designing Interoperable Health Care Services Based on Fast Healthcare Interoperability Resources: Literature Review

xVDB: A High-Coverage Approach for Constructing a Vulnerability Database

Galleon: Reshaping the Square Peg of NFV

Using FLOSS for Storing, Processing and Linking Corpus Data


An optimized graphs package for the Julia programming language

Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy

Julia language in machine learning: Algorithms, applications, and open issues

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

Matrix Depot: an extensible test matrix collection for Julia

Towards Differential Privacy for Symbolic Systems

NetworkDynamics.jl—Composing and simulating complex networks in Julia

Chaos An Interdisciplinary Journal of Nonlinear Science

Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Computational Solutions Based on Bayesian Networks to Hierarchize and to Predict Factors Influencing Gender Fairness in the Transport System: Four Use Cases


Parsl - a Python parallel scripting library

Parsl: Pervasive Parallel Programming in Python

IEEE International Symposium on High-Performance Parallel Distributed Computing

A unified analysis of four cosmic shear surveys

Zenodo (CERN European Organization for Nuclear Research)


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


Tink is a multi-language, cross-platform, open source library that provides cryptographic APIs that are secure, easy to use correctly, and hard(er) to misuse.

"Do this! Do that!, And nothing will happen" Do specifications lead to securely stored passwords?

High-Level Cryptographic Abstractions

Proceedings of the 14th ACM SIGSAC Workshop on Programming Languages and Analysis for Security

OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics

ACM Transactions on Software Engineering and Methodology

CryptMPI: A Fast Encrypted MPI Library

Zur Benutzbarkeit und Verwendung von API-Dokumentationen

Zur Integration von Post-Quantum Verfahren in bestehende Softwareprodukte

cryptolib: Comparing and selecting cryptography libraries


MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

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

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

MNN: A Universal and Efficient Inference Engine

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

EdgeRec: Recommender System on Edge in Mobile Taobao

EasyQuant: Post-training Quantization via Scale Optimization

Satellite IoT Edge Intelligent Computing: A Research on Architecture

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition


OSS implementation of the TCG TPM2 Software Stack (TSS2)

TPM-FAIL: TPM meets Timing and Lattice Attacks

Cryptographic Considerations for Automation and SCADA Systems Using Trusted Platform Modules

Technical Report on a Virtual CTAP2 WebAuthn Authenticator


PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Accelerating 3D Deep Learning with PyTorch3D

Mesh R-CNN

SynSin: End-to-end View Synthesis from a Single Image

MeshSDF: Differentiable Iso-Surface Extraction

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering

Neural Mesh Flow: 3D Manifold Mesh Generation via Diffeomorphic Flows

GIF: Generative Interpretable Faces

Implicit Mesh Reconstruction from Unannotated Image Collections


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

Disentangling Adversarial Robustness and Generalization

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

A Deep Factorization of Style and Structure in Fonts

De-rendering Stylized Texts

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

Scalable Font Reconstruction with Dual Latent Manifolds

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

TrueType Transformer: Character and Font Style Recognition in Outline Format

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

Font Style Interpolation with Diffusion Models

Font Representation Learning via Paired-glyph Matching


The official git repository for Contiki, the open source OS for the Internet of Things

The 10 Research Topics in the Internet of Things

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

Secure Authentication and Credential Establishment in Narrowband IoT and 5G

A CoAP-Based Network Access Authentication Service for Low-Power Wide Area Networks: LO-CoAP-EAP

The Presence, Trends, and Causes of Security Vulnerabilities in Operating Systems of IoT’s Low-End Devices

Technical Report : ContikiMAC vs X-MAC performance analysis

An In-Depth Review on Blockchain Simulators for IoT Environments

A Novel, Highly Integrated Simulator for Parallel and Distributed Systems

ACM Transactions on Architecture and Code Optimization (TACO)

Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things

Framework of IoT Services over Unidirectional Visible Lights Communication Networks


The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Xception: Deep Learning with Depthwise Separable Convolutions

mixup: Beyond Empirical Risk Minimization

Searching for MobileNetV3

SGDR: Stochastic Gradient Descent with Warm Restarts

Training data-efficient image transformers & distillation through attention


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

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

TensorLayer: A Versatile Library for Efficient Deep Learning Development

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

A spatio-temporal recurrent network for salmon feeding action recognition from underwater videos in aquaculture

Computers and Electronics in Agriculture

A Tour of TensorFlow

Deep learning in electron microscopy

Machine Learning: Science and Technology

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

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

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

Learning Long Term Dependencies via Fourier Recurrent Units


python parser for human readable dates

Neural Module Networks for Reasoning over Text

Adaptable Closed-Domain Question Answering Using Contextualized CNN-Attention Models and Question Expansion

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums

LAPDoc: Layout-Aware Prompting for Documents

QuoteKG: A Multilingual Knowledge Graph of Quotes


Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

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

Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

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

International Conference on Control and Automation

Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning

Distributed traffic light control at uncoupled intersections with real-world topology by deep reinforcement learning

QarSUMO: A Parallel, Congestion-optimized Traffic Simulator

Advances in Geographic Information Systems

An Overview of the Drone Open-Source Ecosystem

Hybrid On/Off Blockchain Approach for Vehicle Data Management, Processing and Visualization Exemplified by the ADAPT Platform

A Multiclass Simulation-Based Dynamic Traffic Assignment Model for Mixed Traffic Flow of Connected and Autonomous Vehicles and Human-Driven Vehicles

Solvability of the power flow problem in DC overhead wire circuit modeling


Multicore OCaml

Retrofitting parallelism onto OCaml

Proceedings of the ACM on Programming Languages

Cosmo: a concurrent separation logic for multicore OCaml

Resource Polymorphism

Veracity: Declarative Multicore Programming with Commutativity

A Direct-Style Effect Notation for Sequential and Parallel Programs


Lightning Network Daemon ⚡

High Throughput Cryptocurrency Routing in Payment Channel Networks

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

Topological Analysis of Bitcoin's Lightning Network

Congestion Attacks in Payment Channel Networks

Interledger Approaches

A Cryptoeconomic Traffic Analysis of Bitcoin's Lightning Network

Privacy-Utility Tradeoffs in Routing Cryptocurrency over Payment Channel Networks

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

Toward Active and Passive Confidentiality Attacks On Cryptocurrency Off-Chain Networks

Counting Down Thunder: Timing Attacks on Privacy in Payment Channel Networks


The Browser Exploitation Framework Project

XSS-FP: Browser Fingerprinting using HTML Parser Quirks

Never Trust Your Victim: Weaponizing Vulnerabilities in Security Scanners

Eradicating Attacks on the Internal Network with Internal Network Policy

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


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

PyTracer: Automatically Profiling Numerical Instabilities in Python

Tightening I/O Lower Bounds through the Hourglass Dependency Pattern


Your window into the Elastic Stack

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

Evolutionary Survey on Robotic Process Automation and Artificial Intelligence

On the Generation of Medical Question-Answer Pairs

Scholarly knowledge graphs through structuring scholarly communication: a review

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report Detection

Duplicate Bug Report Detection: How Far Are We?

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

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

Backports: Change Types, Challenges and Strategies

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

Darknet Data Mining -- A Canadian Cyber-crime Perspective


A type-safe HTTP client for Android and the JVM

RefDiff: Detecting Refactorings in Version Histories

What Makes a Good Commit Message?

Proceedings of the 44th International Conference on Software Engineering

Does Technical Debt Lead to the Rejection of Pull Requests?

IDEAL: An Open-Source Identifier Name Appraisal Tool

Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running

Verifying Semantic Conflict-Freedom in Three-Way Program Merges

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions

Journal of the Brazilian Computer Society


Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.

Overview of Software Agent Platforms Available in 2023

Agent-based simulations for protecting nursing homes with prevention and vaccination strategies

Integrated Planning of Multi-energy Grids: Concepts and Challenges

A new formulation of compartmental epidemic modelling for arbitrary distributions of incubation and removal times

Modelling flocks of birds and colonies of ants from the bottom up

International Journal on Software Tools for Technology Transfer (STTT)

A simple formulation of non-Markovian SEIR

Hypothesis: a Plastically Produced Phenotype Predicts Host Specialization and Can Precede Subsequent Mutations in Bacteriophage

Growing the simulation ecosystem: introducing Mesa Data to provide transparent, accessible, and extensible data pipelines for simulation development

Modelling Opaque Bilateral Market Dynamics in Financial Trading:
  Insights from a Multi-Agent Simulation Study


The Agda standard library

Formalizing category theory in Agda

Intrinsically-typed definitional interpreters à la carte

Monotone recursive types and recursive data representations in Cedille

Symbolic and automatic differentiation of languages

One Monad to Prove Them All

Verified type checker for Jolie programming language

Type Theory with Explicit Universe Polymorphism

Coinductive Invertibility in Higher Categories

Building on the Diamonds between Theories: Theory Presentation Combinators

A Relaxation of Üresin and Dubois’ Asynchronous Fixed-Point Theory in Agda


Registry for Digital Public Goods


The USRP™ Hardware Driver Repository

Oscillator metrology with software defined radio

Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment

Ultrawideband USRP-Based Channel Sounding Utilizing the RFNoC Framework


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

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

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

International Journal of Information Security

InviCloak

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

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


SciPy library main repository

SciPy 1.0: fundamental algorithms for scientific computing in Python

Programming biological models in Python using PySB

Julia: A Fresh Approach to Numerical Computing

FLEX: Unifying Evaluation for Few-Shot NLP

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

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

Monthly notices of the Royal Astronomical Society

Forward Global Photometric Calibration of the Dark Energy Survey

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

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

Analyzing the fine structure of distributions

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


Twitter for Python!

A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration

CoVerifi: A COVID-19 news verification system

Elites Tweet to Get Feet Off the Streets: Measuring Regime Social Media Strategies During Protest

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction

A German Twitter Snapshot

An Experimental Analysis of Data Annotation Methodologies for Emotion Detection in Short Text Posted on Social Media

Zenodo (CERN European Organization for Nuclear Research)

Exploring the fine-grained analysis and automatic detection of irony on Twitter

Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations

We Usually Don’t Like Going to the Dentist: Using Common Sense to Detect Irony on Twitter

International Conference on Computational Logic

COVID-19: Social Media Sentiment Analysis on Reopening


Cross-platform IDE for C, C++, Python, QML/JavaScript and PHP


Creative Commons Attribution 4.0 International

RISC-V Instruction Set Manual

Bridging the gap between programming languages and hardware weak memory models

Symposium on Principles of Programming Languages

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

Energy hardware and workload aware job scheduling towards interconnected HPC environments

IEEE Transactions on Parallel and Distributed Systems

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

DuVisor: a User-level Hypervisor Through Delegated Virtualization

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

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

CoVE: Towards Confidential Computing on RISC-V Platforms

A Case for Speculative Strength Reduction

Cerberus

Trusted Hart for Mobile RISC-V Security


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


A topic-centric list of HQ open datasets.

Forecasting: theory and practice

Data stream clustering: a review

Event-based Failure Prediction in Distributed Business Processes

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Artificial Intelligence and Natural Language

Era of Intelligent Systems in Healthcare

Technology investigation on time series classification and prediction

Network Structures of Collective Intelligence: The Contingent Benefits of Group Discussion

Case Study on Privacy-Aware Social Media Data Processing in Disaster Management

ISPRS International Journal of Geo-Information

An investigation of licensing of datasets for machine learning based on the GQM model


Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

Large Language Models for Test-Free Fault Localization

User Space Network Drivers

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

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

Vulnerability Detection with Code Language Models: How Far Are We?

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection

Graph Convolutions Enrich the Self-Attention in Transformers!

Towards an Automated Unified Framework to Run Applications for Combinatorial Interaction Testing

QEMU-based hardware/software co-development for DAQ systems


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

Empirical Methods in Natural Language Processing

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


The public CGAL repository, see the README below

Laplacian Flow Dynamics on Geometric Graphs for Anatomical Modeling of Cerebrovascular Networks

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

Planar-Equirectangular Image Stitching

Minimum Coverage by Convex Polygons: The CG:SHOP Challenge 2023

Computing Voronoi Diagrams in the Polar-Coordinate Model of the Hyperbolic Plane


C Bounded Model Checker

CBMC: The C Bounded Model Checker

Model checking boot code from AWS data centers

Model Checking C++ Programs

YOGAR-CBMC: CBMC with Scheduling Constraint Based Abstraction Refinement

Tools and Algorithms for Construction and Analysis of Systems

Scheduling Constraint Based Abstraction Refinement for Multi-Threaded Program Verification

Benchmarking Software Model Checkers on Automotive Code

An Efficient Floating-Point Bit-Blasting API for Verifying C Programs

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

JBMC: A Bounded Model Checking Tool for Java Bytecode

ESBMC v7.3: Model Checking C++ Programs using Clang AST


Models and examples built with TensorFlow

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Going Deeper with Convolutions

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Mask R-CNN

Rethinking the Inception Architecture for Computer Vision

Focal Loss for Dense Object Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Image-to-Image Translation with Conditional Adversarial Networks


Adaptive Experimentation Platform

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

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

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

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

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

OpenBox: A Generalized Black-box Optimization Service

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

Emotion-Infused Models for Explainable Psychological Stress Detection

North American Chapter of the Association for Computational Linguistics

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

Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization


Deep universal probabilistic programming with Python and PyTorch

Pyro: Deep Universal Probabilistic Programming

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Doubly Stochastic Variational Inference for Deep Gaussian Processes

Pomegranate: fast and flexible probabilistic modeling in python

Mining gold from implicit models to improve likelihood-free inference

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

Convolutional Gaussian Processes

Pathwise Derivatives Beyond the Reparameterization Trick

Applications of statistical causal inference in software engineering

Towards Verified Stochastic Variational Inference for Probabilistic Programs

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting


URL testing lists intended for discovering website censorship

Encrypted DNS --> Privacy? A Traffic Analysis Perspective

ICLab: A Global, Longitudinal Internet Censorship Measurement Platform

The Web is Still Small After More Than a Decade

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

Automated Discovery of Internet Censorship by Web Crawling

Measuring and Evading Turkmenistan’s Internet Censorship

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

A First Look At NAT64 Deployment In-The-Wild

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

PTPerf: On the performance evaluation of Tor Pluggable Transports


A library for efficient similarity search and clustering of dense vectors.

Billion-scale similarity search with GPUs

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

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering

Multilingual Universal Sentence Encoder for Semantic Retrieval

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

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

Controllable Multi-Interest Framework for Recommendation

Intent Contrastive Learning for Sequential Recommendation


TensorFlow examples

Transport-Based Neural Style Transfer for Smoke Simulations

Can You Hear It? Backdoor Attacks via Ultrasonic Triggers

Litter Detection with Deep Learning: A Comparative Study

OpenBot: Turning Smartphones into Robots

Energy-aware adaptive offloading of soft real-time jobs in mobile edge clouds

Applying Artificial Intelligence to Classify the Maturity Level of Coffee Beans During Roasting

International Journal of Engineering, Science and Information Technology


Pyserini is a Python toolkit for reproducible information retrieval research with sparse and dense representations.

Holistic Evaluation of Language Models

Generate rather than Retrieve: Large Language Models are Strong Context Generators

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Fine-Grained Human Feedback Gives Better Rewards for Language Model Training

100,000 Podcasts: A Spoken English Document Corpus

International Conference on Computational Linguistics

What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations

Benchmarking Retrieval-Augmented Generation for Medicine

A Replication Study of Dense Passage Retriever

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval


Port of Google v8 engine to RISC-V.


Empire is a PowerShell and Python post-exploitation agent.

SoK: A Survey of Open-Source Threat Emulators

Automated Cyber Defence: A Review

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

Investigating the Ecosystem of Offensive Information Security Tools

ProblemChild: Discovering Anomalous Patterns based on Parent-Child Process Relationships

Prov2vec: Learning Provenance Graph Representation for Unsupervised APT Detection


The fastai deep learning library

Deep Residual Learning for Image Recognition

Universal Language Model Fine-tuning for Text Classification

Regularizing and Optimizing LSTM Language Models

fastai: A Layered API for Deep Learning

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

AI Feynman: a Physics-Inspired Method for Symbolic Regression

A Baseline for Few-Shot Image Classification

All You Need is "Love": Evading Hate-speech Detection

Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images


A mighty CSS linter that helps you avoid errors and enforce conventions.

Owl Eyes: Spotting UI Display Issues via Visual Understanding

International Conference on Automated Software Engineering

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Nighthawk: Fully Automated Localizing UI Display Issues via Visual Understanding

IEEE Transactions on Software Engineering

Guided Bug Crush: Assist Manual GUI Testing of Android Apps via Hint Moves

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

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

Replication Package for Article: GLIB: Towards Automated Test Oracle for Graphically-Rich Applications


Apache Spark - A unified analytics engine for large-scale data processing

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

MLlib: Machine Learning in Apache Spark

Matrix Computations and Optimization in Apache Spark

Cloud, Fog, or Edge: Where to Compute?

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

International Conference on Distributed Computing Systems

Automatically Leveraging MapReduce Frameworks for Data-Intensive Applications

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

CORE: Automating Review Recommendation for Code Changes

How to identify class comment types? A multi-language approach for class comment classification

Dimension Independent Matrix Square using MapReduce

Performance evaluation of job schedulers on Hadoop YARN

Concurrency and Computation: Practice and Experience


Models, data loaders and abstractions for language processing, powered by PyTorch

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

TorchGeo: Deep Learning With Geospatial Data

Reducing the variance in online optimization by transporting past gradients

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

RNSum: A Large-Scale Dataset for Automatic Release Note Generation via Commit Logs Summarization

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

CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

Zhestyatsky at SemEval-2021 Task 2: ReLU over Cosine Similarity for BERT Fine-tuning

Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling

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

Learning Sequence Representations by Non-local Recurrent Neural Memory


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


OpenFaaS - Serverless Functions Made Simple

Understanding Open Source Serverless Platforms: Design Considerations and Performance

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

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

Performance Evaluation of Serverless Edge Computing for Machine Learning Applications

Function-as-a-Service Benchmarking Framework

International Conference on Cloud Computing and Services Science

Performance Evaluation of Open-Source Serverless Platforms for Kubernetes

Intelligence-Endogenous Management Platform for Computing and Network Convergence


Modular data acquisition framework

A quantum engineer's guide to superconducting qubits

Quantum logic with spin qubits crossing the surface code threshold

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

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

Electron cascade for distant spin readout

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


The official sources for the RDKit library

Low Data Drug Discovery with One-Shot Learning

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Optimization of Molecules via Deep Reinforcement Learning

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Deep Generative Models for 3D Linker Design

Journal of chemical information and modeling

Large-scale chemical language representations capture molecular structure and properties

Improving Chemical Autoencoder Latent Space and Molecular De novo Generation Diversity with Heteroencoders

A unified drug–target interaction prediction framework based on knowledge graph and recommendation system

Molecular Generation with Recurrent Neural Networks (RNNs)


Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

A simple guide to de novo transcriptome assembly and annotation

A new paradigm for accelerating clinical data science at Stanford Medicine

Clonal hematopoiesis in sickle cell disease

Scalable Data Analysis in Proteomics and Metabolomics Using BioContainers and Workflows Engines

Building containerized workflows using the BioDepot-workflow-builder (Bwb)

uap: reproducible and robust HTS data analysis

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

Design and implementation of a hybrid cloud system for large-scale human genomic research

TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization


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

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

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

Federated Transfer Reinforcement Learning for Autonomous Driving

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

A Survey on Human-aware Robot Navigation

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

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

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

Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots

Overview of Software Agent Platforms Available in 2023


Apache Hadoop

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

Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt

On Preserving the Behavior in Software Refactoring: A Systematic Mapping Study

Behind the Scenes: On the Relationship Between Developer Experience and Refactoring

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

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

Tools and Algorithms for Construction and Analysis of Systems

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

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

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

The nature of build changes


Eclipse Jetty® - Web Container & Clients - supports HTTP/2, HTTP/1.1, HTTP/1.0, websocket, servlets, and more

Quantitative Mitigation of Timing Side Channels

Data-Driven Debugging for Functional Side Channels

QFuzz: Quantitative Fuzzing for Side Channels

International Symposium on Software Testing and Analysis

Cherry-Picking of Code Commits in Long-Running, Multi-release Software

Automated Identification of Performance Changes at Code Level

International Conference on Software Quality, Reliability and Security


Enabling PyTorch on XLA Devices (e.g. Google TPU)

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

A Light Recipe to Train Robust Vision Transformers

KinyaBERT: a Morphology-aware Kinyarwanda Language Model

Revisiting and Advancing Chinese Natural Language Understanding with Accelerated Heterogeneous Knowledge Pre-training

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion

IEEE Transactions on Parallel and Distributed Systems

Exploration of TPUs for AI Applications


Agda is a dependently typed programming language / interactive theorem prover.

Two-Level Type Theory and Applications

Internal Universes in Models of Homotopy Type Theory

Fitch-Style Modal Lambda Calculi

Internalizing Representation Independence with Univalence

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Elaborating dependent (co)pattern matching

Proceedings of the ACM on Programming Languages

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Normalization for Fitch-Style Modal Calculi

Synthetic Spectra via a Monadic and Comonadic Modality

Combinatorial Exploration: An algorithmic framework for enumeration


The leading Wasm Runtime supporting WASIX, WASI and Emscripten

A fast in-place interpreter for WebAssembly

Security risks of porting C programs to webassembly

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Characterizing and Detecting WebAssembly Runtime Bugs

Fuzzm: Finding Memory Bugs through Binary-Only Instrumentation and Fuzzing of WebAssembly

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

The Security Risk of Lacking Compiler Protection in WebAssembly

Whose baseline compiler is it anyway?

WRTester: Differential Testing of WebAssembly Runtimes via Semantic-aware Binary Generation

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

Stop Hiding The Sharp Knives: The WebAssembly Linux Interface


Your self-hosted, globally interconnected microblogging community

Challenges in the Decentralised Web: The Mastodon Case

Bluesky and the AT Protocol: Usable Decentralized Social Media

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications

Knowledge Boundary and Persona Dynamic Shape A Better Social Media Agent

Patterns of multi-container composition for service orchestration with Docker Compose


Deep Learning for humans

Xception: Deep Learning with Depthwise Separable Convolutions

A ConvNet for the 2020s

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

Deep Learning using Rectified Linear Units (ReLU)

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Theano: A Python framework for fast computation of mathematical expressions

An Introduction to Deep Learning for the Physical Layer

Road Extraction by Deep Residual U-Net

IEEE Geoscience and Remote Sensing Letters

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline


Official ECMAScript Conformance Test Suite

Montage: A Neural Network Language Model-Guided JavaScript Engine Fuzzer

Learning a Static Analyzer from Data

JaVerT 2.0: compositional symbolic execution for JavaScript

Gillian, Part II: Real-World Verification for JavaScript and C

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

EMME: a formal tool for ECMAScript Memory Model Evaluation

Gillian: Compositional Symbolic Execution for All

Linear Matching of JavaScript Regular Expressions


Making large AI models cheaper, faster and more accessible

Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

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

A Survey on Efficient Training of Transformers

Understanding LLMs: A Comprehensive Overview from Training to Inference

A Survey on Mixture of Experts

Elixir: Train a Large Language Model on a Small GPU Cluster

Colossal-Auto: Unified Automation of Parallelization and Activation Checkpoint for Large-scale Models

Possibilities of Using De Novo Design for Generating Diverse Functional Food Enzymes

International journal of molecular sciences

Enhancing Role-playing Systems through Aggressive Queries: Evaluation
  and Improvement

EventRL: Enhancing Event Extraction with Outcome Supervision for Large
  Language Models


Style and Grammar Checker for 25+ Languages

Improving Conditional Sequence Generative Adversarial Networks by Stepwise Evaluation

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

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

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

RLens: A Computer-aided Visualization System for Supporting Reflection on Language Learning under Distributed Tutorship

ALaRM: Align Language Models via Hierarchical Rewards Modeling


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

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

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

Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation

Dynamic Matrix Factorization with Priors on Unknown Values

Optimal and Adaptive Algorithms for Online Boosting

Online Gradient Boosting

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

Meeting of the Association for Computational Linguistics

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

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

How Many Folders Do You Really Need?

International Conference on Information and Knowledge Management


Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

Quantum Chemistry in the Age of Quantum Computing

Quantum information processing with superconducting circuits: a review

Reports on progress in physics. Physical Society (Great Britain)

An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures

Software Mitigation of Crosstalk on Noisy Intermediate-Scale Quantum Computers

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

Mapping Quantum Circuits to IBM QX Architectures Using the Minimal Number of SWAP and H Operations

Overview and Comparison of Gate Level Quantum Software Platforms

Challenges and Opportunities of Near-Term Quantum Computing Systems

Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

Compiling SU(4) Quantum Circuits to IBM QX Architectures

A verified optimizer for Quantum circuits

Symposium on Principles of Programming Languages


Lightweight Java and Android library for integration with Ethereum clients

A Fog Computing-Based Architecture for Medical Records Management

Wireless Communications and Mobile Computing

A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust

SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT

SmartExchange: Decentralised Trustless Cryptocurrency Exchange

Lecture notes in business information processing

Blockchain-Based Transaction Manager for Ontology Databases

Providing reliability and auditability to the IoT LwM2M protocol through Blockchain

Wood traceability system using blockchain and zero-knowledge proof

A Decentralized Solution for Epidemiological Surveillance in Campus Scenarios


General data-binding package for Jackson (2.x): works on streaming API (core) implementation(s)

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

Putting the Semantics into Semantic Versioning

Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions

How well does LLM generate security tests?

How do developers deal with security issue reports on GitHub?


Apache Cassandra®

Probabilistically Bounded Staleness for Practical Partial Quorums

Hardening Cassandra Against Byzantine Failures

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study

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

Study on Resource Efficiency of Distributed Graph Processing

InK: In-Kernel Key-Value Storage with Persistent Memory


Continuous Inspection

Example-Based Vulnerability Detection and Repair in Java Code

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite

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

JavaDL: automatically incrementalizing Java bug pattern detection


Structured, pluggable logging for Go.

Hero: On the Chaos When PATH Meets Modules

ZTSFC: A Service Function Chaining-Enabled Zero Trust Architecture

SecDocker: Hardening the Continuous Integration Workflow


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

MC^2: Multi-concept Guidance for Customized Multi-concept Generation


A high-throughput and memory-efficient inference and serving engine for LLMs

Efficient Memory Management for Large Language Model Serving with PagedAttention

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

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

Large Language Models: A Survey

SqueezeLLM: Dense-and-Sparse Quantization

Splitwise: Efficient generative LLM inference using phase splitting

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

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Learning From Mistakes Makes LLM Better Reasoner

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve


Tickets for the MPI Forum

How I Learned to Stop Worrying About User-Visible Endpoints and Love MPI

Proceedings of the 34th ACM International Conference on Supercomputing

Towards blood flow in the virtual human: efficient self-coupling of HemeLB

MPIs Language Bindings are Holding MPI Back

Extending the Message Passing Interface (MPI) with User-Level Schedules

MPI Application Binary Interface Standardization

Proceedings of the 30th European MPI Users' Group Meeting

KaMPIng: Flexible and (Near) Zero-overhead C++ Bindings for MPI

A C++20 Interface for MPI 4.0


This repository contains a PyTorch implementation of "AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis".

DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder

MI-NeRF: Learning a Single Face NeRF from Multiple Identities


PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Mnemonics Training: Multi-Class Incremental Learning without Forgetting

Adaptive Aggregation Networks for Class-Incremental Learning


Towards Total Recall in Industrial Anomaly Detection

WinCLIP: Zero-/Few-Shot Anomaly Classification and Segmentation

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

Reversing the Abnormal: Pseudo-Healthy Generative Networks for Anomaly Detection

Component-aware anomaly detection framework for adjustable and logical industrial visual inspection

PKU-GoodsAD: A Supermarket Goods Dataset for Unsupervised Anomaly Detection and Segmentation

Hard Nominal Example-aware Template Mutual Matching for Industrial Anomaly Detection


Density-aware Single Image De-raining using a Multi-stream Dense Network  (CVPR 2018)

Rain Streaks Removal for Single Image via Kernel-Guided Convolutional Neural Network

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


A clean and readable Pytorch implementation of CycleGAN

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

AI for radiographic COVID-19 detection selects shortcuts over signal

medRxiv : the preprint server for health sciences

Mutually Improved Endoscopic Image Synthesis and Landmark Detection in Unpaired Image-to-Image Translation

IEEE journal of biomedical and health informatics

Domain Adaptation via CycleGAN for Retina Segmentation in Optical Coherence Tomography


The Pytorch implementation for "Semantic Graph Convolutional Networks for 3D Human Pose Regression" (CVPR 2019).

A simple yet effective baseline for 3d human pose estimation

3D human pose estimation in video with temporal convolutions and semi-supervised training

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective


A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Teaching Machines to Read and Comprehend

Convolutional Sequence to Sequence Learning

Reading Wikipedia to Answer Open-Domain Questions

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

Deep Reinforcement Learning: An Overview

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Key-Value Memory Networks for Directly Reading Documents

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Recipes for building an open-domain chatbot


Strategies for Pre-training Graph Neural Networks

Graph Self-Supervised Learning: A Survey

Graph-based Molecular Representation Learning

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

Graph Self-supervised Learning with Accurate Discrepancy Learning

SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Structure-Enhanced Meta-Learning For Few-Shot Graph Classification

Accurate prediction of molecular targets using a self-supervised image representation learning framework

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


A comprehensive, global, open source database of power plants


image scene graph generation benchmark

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Graph R-CNN for Scene Graph Generation

Graphical Contrastive Losses for Scene Graph Parsing

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

Image Scene Graph Generation (SGG) Benchmark

ALADIN: Distilling Fine-grained Alignment Scores for Efficient Image-Text Matching and Retrieval

Universal Vision-Language Dense Retrieval: Learning A Unified Representation Space for Multi-Modal Retrieval


Memory-Efficient Pipeline-Parallel DNN Training

A Linear Algebraic Approach to Model Parallelism in Deep Learning

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


web documentation for Trinotate

Soil Metatranscriptomes Under Long-Term Experimental Warming and Drying: Fungi Allocate Resources to Cell Metabolic Maintenance Rather Than Decay

Comparative transcriptomics in Syllidae (Annelida) indicates that posterior regeneration and regular growth are comparable, while anterior regeneration is a distinct process

Shared up-regulation and contrasting down-regulation of gene expression distinguish desiccation-tolerant from intolerant green algae

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

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches

Ultrafast functional profiling of RNA-seq data for nonmodel organisms

Microbiota Perturbation or Elimination Can Inhibit Normal Development and Elicit a Starvation-Like Response in an Omnivorous Model Invertebrate

A crustacean annotated transcriptome (CAT) database

Pearl Sac Gene Expression Profiles Associated With Pearl Attributes in the Silver-Lip Pearl Oyster, Pinctada maxima

Deinococcus radiodurans UWO298 Dependence on Background Radiation for Optimal Growth

Deciphering triterpenoid saponin biosynthesis by leveraging transcriptome response to methyl jasmonate elicitation in Saponaria vaccaria