Pseudo API for Google Trends

Comparing Social media and Google to detect and predict severe epidemics

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

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

Calibration of Google Trends Time Series

International Conference on Information and Knowledge Management

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

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

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

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

International journal of artificial intelligence in education

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

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

High variability in model performance of Google relative search volumes in spatially clustered COVID-19 areas of the USA

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases


tools for working with genome variation graphs

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Computational pan-genomics: status, promises and challenges

Major improvements to the Heliconius melpomene genome assembly used to confirm 10 chromosome fusion events in 6 million years of butterfly evolution

Indexing Variation Graphs

Workshop on Algorithm Engineering and Experimentation

Haplotype-aware graph indexes

Computational aspects underlying genome to phenome analysis in plants

The Plant journal : for cell and molecular biology

Bovine breed-specific augmented reference graphs facilitate accurate sequence read mapping and unbiased variant discovery

A pangenome reference of 36 Chinese populations

Sequence Alignment on Directed Graphs

seq-seq-pan: building a computational pan-genome data structure on whole genome alignment


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

Demystifying Software Release Note Issues on GitHub

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

Backports

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

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

Investigating and recommending co-changed entities for JavaScript programs


A non-validating SQL parser module for Python

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

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

Smelly Relations: Measuring and Understanding Database Schema Quality

International Conference on Software Engineering

SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Byte-Pair Encoding for Text-to-SQL Generation

Spinner: Automated Dynamic Command Subsystem Perturbation

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness


A leading-edge control system for quantum information experiments

Dynamical low-noise microwave source for cold-atom experiments

Bug Characteristics in Quantum Software Ecosystem


An enterprise friendly way of detecting and preventing secrets in code.

StarCoder: may the source be with you!

SantaCoder: don't reach for the stars!

Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research

What Do Code Models Memorize? An Empirical Study on Large Language
  Models of Code

Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry.

A Comparative Study of Software Secrets Reporting by Secret Detection Tools

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


HAPI FHIR - Java API for HL7 FHIR Clients and Servers

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

No Transfer Without Validation: A Data Sharing Framework Use Case

Studies in health technology and informatics

A cloud-based pipeline for analysis of FHIR and long-read data


Main repository of SageMath. Now open for Issues and Pull Requests.

Symbolic tensor calculus on manifolds: a SageMath implementation

Twists of Elliptic Curves

Symmetry, integrability and geometry: methods and applications

Topologically Regularized Data Embeddings

Computing nonsurjective primes associated to Galois representations of
  genus 2 curves

A Note on the Relation between Recognisable Series and Regular
  Sequences, and their Minimal Linear Representations


Automatically exported from code.google.com/p/netmap

Datacenter Traffic Control: Understanding Techniques and Tradeoffs

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

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

Benchmarking NFV Software Dataplanes.

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

International Conference on Cloud Computing and Services Science


Computational toolbox for large scale Calcium Imaging Analysis, including movie handling, motion correction, source extraction, spike deconvolution and result visualization.

Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Qualitative Treatment of Contact Problems – Normal Contact without Adhesion

Nontoxic, double-deletion-mutant rabies viral vectors for retrograde targeting of projection neurons

OnACID: Online Analysis of Calcium Imaging Data in Real Time

Differences in the Electrophysiological Properties of Mouse Somatosensory Layer 2/3 Neurons In Vivo and Slice Stem from Intrinsic Sources Rather than a Network-Generated High Conductance State

Converting an allocentric goal into an egocentric steering signal

Sound generation in zebrafish with Bio-Opto-Acoustics

Complementary lateral hypothalamic populations resist hunger pressure to balance nutritional and social needs

Rapid detection of neurons in widefield calcium imaging datasets after training with synthetic data

Elucidating a locus coeruleus-dentate gyrus dopamine pathway for operant reinforcement


Quantum assembly language for extended quantum circuits

t|ket⟩: a retargetable compiler for NISQ devices

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation

Observation of topological Uhlmann phases with superconducting qubits

Projection-based runtime assertions for testing and debugging Quantum programs

Proceedings of the ACM on programming languages

A Generic Compilation Strategy for the Unitary Coupled Cluster Ansatz

Comparisons of performance between quantum-enhanced and classical machine learning algorithms on the IBM Quantum Experience

SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System.

Quantum Hoare Type Theory

Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer

Qunity: A Unified Language for Quantum and Classical Computing


Scenic: A Jax Library for Computer Vision Research and Beyond

ViViT: A Video Vision Transformer

Attention Bottlenecks for Multimodal Fusion

Simple Open-Vocabulary Object Detection with Vision Transformers

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?

Multiview Transformers for Video Recognition

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

SCENIC: A JAX Library for Computer Vision Research and Beyond

Learning with Neighbor Consistency for Noisy Labels

Instruction-Following Agents with Multimodal Transformer

Pyramid Adversarial Training Improves ViT Performance


Randomized testing for Go

The Art, Science, and Engineering of Fuzzing: A Survey

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

Testing RESTful APIs: A Survey

Static Race Detection and Mutex Safety and Liveness for Go Programs (extended version)

REST API Fuzzing by Coverage Level Guided Blackbox Testing

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

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC
  Compilers


Java binary serialization and cloning: fast, efficient, automatic

Choral: Object-Oriented Choreographic Programming

scenery: Flexible Virtual Reality Visualization on the Java VM

GeoBroker: Leveraging geo-contexts for IoT data distribution

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

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

ACM transactions on software engineering and methodology

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

A Survey of JSON-compatible Binary Serialization Specifications

Programming at the edge of synchrony


Mirror of Apache Struts

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

Refactoring Debt: Myth or Reality? An Exploratory Study on the
  Relationship Between Technical Debt and Refactoring

On the Use of Mutation in Injecting Test Order-Dependency

Internal Quality Evolution of Open-Source Software Systems

VFFINDER: A Graph-Based Approach for Automated Silent Vulnerability-Fix Identification

Executable Trigger-Action Comments


Plenum Byzantine Fault Tolerant Protocol

Blockchain Consensus Algorithms: A Survey

Full-text Search for Verifiable Credential Metadata on Distributed Ledgers

Key Event Receipt Infrastructure (KERI)

A Note on the Blockchain Trilemma for Decentralized Identity: Learning
  from Experiments with Hyperledger Indy


:book::microscope::coffee: BioJava is an open-source project dedicated to providing a Java library for processing biological data.

Influenza Research Database: An integrated bioinformatics resource for influenza virus research

BioJava 5: A community driven open-source bioinformatics library

Detection of circular permutations within protein structures using CE-CP

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank

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


An open API for epidemiological data.

Nowcasting by Bayesian Smoothing: A flexible, generalizable model for real-time epidemic tracking

Developing Teacher Competencies in Multicultural Societies : A Case of Initial Teacher Education in Australia

Technology to advance infectious disease forecasting for outbreak management

Even a good influenza forecasting model can benefit from internet-based nowcasts, but those benefits are limited

Near-term forecasts of influenza-like illness An evaluation of autoregressive time series approaches

The impact of online misinformation on U.S. COVID-19 vaccinations

The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research

Fast and accurate influenza forecasting in the United States with Inferno

Can vaccine prioritization reduce disparities in COVID-19 burden for historically marginalized populations?

Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach


Toolkit for creating, sharing and using natural language prompts.

Finetuned Language Models Are Zero-Shot Learners

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

Multitask Prompted Training Enables Zero-Shot Task Generalization

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

Holistic Evaluation of Language Models

PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts

Discovering Latent Knowledge in Language Models Without Supervision

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Rationale-Augmented Ensembles in Language Models

How to Prompt? Opportunities and Challenges of Zero- and Few-Shot
  Learning for Human-AI Interaction in Creative Applications of Generative
  Models


matplotlib: plotting with Python

Highly accurate protein structure prediction with AlphaFold

DisCoPy: Monoidal Categories in Python

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

Updated constraints on amplitude and tilt of the tensor primordial spectrum

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

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

Synthesis, Molecular Docking, and Dynamic Simulation Targeting Main Protease (Mpro) of New, Thiazole Clubbed Pyridine Scaffolds as Potential COVID-19 Inhibitors

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

Loading and plotting of cortical surface representations in Nilearn

Evolving climate network perspectives on global surface air temperature effects of ENSO and strong volcanic eruptions

The European physical journal. Special topics


Example models using DeepSpeed

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

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs

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

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

AceGPT, Localizing Large Language Models in Arabic

DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via
  Multi-Modal Causal Attention

Exploiting Sparsity in Pruned Neural Networks to Optimize Large Model Training

Direct Preference-based Policy Optimization without Reward Modeling

Benchmark Assessment for DeepSpeed Optimization Library

Selective Guidance: Are All the Denoising Steps of Guided Diffusion
  Important?


PyTorch extensions for high performance and large scale training.

On the Opportunities and Risks of Foundation Models

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Beyond English-Centric Multilingual Machine Translation

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

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

ZeRO-Offload: Democratizing Billion-Scale Model Training

SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum

A Cookbook of Self-Supervised Learning

Scaling Up Models and Data with  and


An analysis and visualization platform for 'omics data

Functional repertoire convergence of distantly related eukaryotic plankton lineages abundant in the sunlit ocean

Uncultured Microbial Phyla Suggest Mechanisms for Multi-Thousand-Year Subsistence in Baltic Sea Sediments

Candidatus Alkanophaga archaea from Guaymas Basin hydrothermal vent sediment oxidize petroleum alkanes

Revealing the chassis-effect on a broad-host-range genetic switch and its concordance with interspecies bacterial physiologies


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

SoK: Design Tools for Side-Channel-Aware Implementations

Composite Enclaves: Towards Disaggregated Trusted Execution

Don't CWEAT It

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

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

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

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

Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source
  Processors


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

TacticToe: Learning to Prove with Tactics

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

Deep Reinforcement Learning for Synthesizing Functions in Higher-Order Logic

A Mechanised Semantics for HOL with Ad-hoc Overloading

Logic Programming and Automated Reasoning

Tree Neural Networks in HOL4

Beyond games: a systematic review of neural Monte Carlo tree search applications

Further Formalization of the Process Algebra CCS in HOL4

A Formalization of Unique Solutions of Equations in Process Algebra

Unique Solutions of Contractions, CCS, and their HOL Formalisation


WebAssembly Design Documents

Retrofitting Effect Handlers onto OCaml

Programming Language Design and Implementation

Browsix

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

libsbmljs — Enabling Web–Based SBML Tools

The Risks of WebGL: Analysis, Evaluation and Detection


Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.

Decaying Indicators of Compromise

Taxonomy driven indicator scoring in MISP threat intelligence platforms.

Multimodal Classification of Onion Services for Proactive Cyber Threat Intelligence Using Explainable Deep Learning

Fingerpointing False Positives

Open Dataset of Phishing and Tor Hidden Services Screen-captures


NLP made easy

Attention Is All You Need

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

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

Efficient Estimation of Word Representations in Vector Space

Convolutional Neural Networks for Sentence Classification

Deep contextualized word representations

Enriching Word Vectors with Subword Information

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

Bag of Tricks for Efficient Text Classification

A Structured Self-attentive Sentence Embedding


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

FLAT: Constructing a CLARIN Compatible Home for Language Resources

The Public License Selector: Making Open Licensing Easier

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

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


NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

CardioGAN: Attentive Generative Adversarial Network with Dual Discriminators for Synthesis of ECG from PPG

Enhancing self-management in type 1 diabetes with wearables and deep learning

EvoMBN: Evolving Multi-Branch Networks on Myocardial Infarction Diagnosis Using 12-Lead Electrocardiograms

Comprehensive HRV estimation pipeline in Python using Neurokit2: Application to sleep physiology

Encoding Time-Series Explanations through Self-Supervised Model Behavior
  Consistency

An Improved Subject-Independent Stress Detection Model Applied to Consumer-grade Wearable Devices

Wuthering heights: gauging fear at altitude in virtual reality


Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.

Diagnosing Gender Bias in Image Recognition Systems

Socius : sociological research for a dynamic world

Mask-Wearing as a Partisan Issue: Social Identity and Communication of Party Norms on Social Media Among Political Elites

COVID, BLM, and the polarization of US politicians on Twitter

Exploring the Ideological Nature of Journalists' Social Networks on Twitter and Associations with News Story Content.

Photographic home styles in Congress: a computer vision approach

Sporting the government: Twitter as a window into sportspersons'
  engagement with causes in India and USA

How Do US Congress Members Advertise Climate Change: An Analysis Of Ads
  Run On Meta's Platforms

Self Promotion in US Congressional Tweets

North American Chapter of the Association for Computational Linguistics


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

Evaluating FPGA Accelerator Performance with a Parameterized OpenCL Adaptation of Selected Benchmarks of the HPCChallenge Benchmark Suite

Parking Packet Payload with P4

DINOMO: An Elastic, Scalable, High-Performance Key-Value Store for
  Disaggregated Persistent Memory (Extended Version)

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

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

NFSlicer: Data Movement Optimization for Shallow Network Functions

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


Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

XGBoost: A Scalable Tree Boosting System

MoleculeNet: a benchmark for molecular machine learning

A comparative analysis of gradient boosting algorithms

pdp: An R Package for Constructing Partial Dependence Plots

SecureBoost: A Lossless Federated Learning Framework

Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

Accelerated Discovery of Organic Polymer Photocatalysts for Hydrogen Evolution from Water through the Integration of Experiment and Theory

Journal of the American Chemical Society

EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction

Fake News Early Detection: An Interdisciplinary Study


AMD ROCm™ Software - GitHub Home

Adaptive Computing in Robotics, Leveraging ROS 2 to Enable Software-Defined Hardware for FPGAs.

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

ECP SOLLVE: Validation and Verification Testsuite Status Update and Compiler Insight for OpenMP

SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation

BitGNN: Unleashing the Performance Potential of Binary Graph Neural Networks on GPUs


Open Source Computer Vision Library

DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars

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

Machine Learning Testing: Survey, Landscapes and Horizons

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Fast Face-swap Using Convolutional Neural Networks

On the "steerability" of generative adversarial networks

Automatic classification of defective photovoltaic module cells in electroluminescence images

On Face Segmentation, Face Swapping, and Face Perception

Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects

Neural Code Comprehension: A Learnable Representation of Code Semantics


Python package to access a cacophony of neuro-imaging file formats

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging

Altered functional connectivity differs in stroke survivors with impaired touch sensation following left and right hemisphere lesions

Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms

Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding

Glioblastoma Surgery Imaging–Reporting and Data System: Validation and Performance of the Automated Segmentation Task

Preoperative brain tumor imaging: models and software for segmentation
  and standardized reporting

Correlated Resting-State Functional MRI Activity of Frontostriatal, Thalamic, Temporal, and Cerebellar Brain Regions Differentiates Stroke Survivors with High Compared to Low Depressive Symptom Scores

Overall Survival Prediction of Glioma Patients With Multiregional Radiomics


Extremely fast non-cryptographic hash algorithm

Data Poisoning Attacks to Local Differential Privacy Protocols

Dynamic Feature Induction: The Last Gist to the State-of-the-Art

COBS: a Compact Bit-Sliced Signature Index

BagMinHash - Minwise Hashing Algorithm for Weighted Sets

To Petabytes and beyond: recent advances in probabilistic and signal processing algorithms and their application to metagenomics

Hash Adaptive Bloom Filter

Peeling Close to the Orientability Threshold: Spatial Coupling in
  Hashing-Based Data Structures

uBFT: Microsecond-Scale BFT using Disaggregated Memory

copMEM: Finding maximal exact matches via sampling both genomes

A Software Framework and Datasets for the Analysis of Graph Measures on RDF Graphs


A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

FLAML: A Fast and Lightweight AutoML Library

Frugal Optimization for Cost-related Hyperparameters

An Empirical Study on Hyperparameter Optimization for Fine-Tuning Pre-trained Language Models

Cost-Effective Hyperparameter Optimization for Large Language Model
  Generation Inference

ChaCha for Online AutoML

Adv3D: Generating Safety-Critical 3D Objects through Closed-Loop
  Simulation

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

Mining Robust Default Configurations for Resource-constrained AutoML


The Python package installer

Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion

Flexible and Optimal Dependency Management via Max-SMT

causalgraph: A Python Package for Modeling, Persisting and Visualizing
  Causal Graphs Embedded in Knowledge Graphs

Using Answer Set Programming for HPC Dependency Solving


Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Null-text Inversion for Editing Real Images using Guided Diffusion Models

Fast Sampling of Diffusion Models with Exponential Integrator

RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large
  Vision-Language Model for Remote Sensing

Diffusion in Diffusion: Cyclic One-Way Diffusion for
  Text-Vision-Conditioned Generation


Browser fingerprinting library. Accuracy of this version is 40-60%, accuracy of the commercial Fingerprint Identification is 99.5%. V4 of this library is BSL licensed.

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

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

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

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

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

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

Taming The Shape Shifter: Detecting Anti-fingerprinting Browsers

Hfinger: Malware HTTP Request Fingerprinting


ClosedXML is a .NET library for reading, manipulating and writing Excel 2007+ (.xlsx, .xlsm) files. It aims to provide an intuitive and user-friendly interface to dealing with the underlying OpenXML API.

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

TableSense: Spreadsheet Table Detection with Convolutional Neural Networks

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Structure and Design of HoloGen


Static Type Checker for Python

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python

Proceedings of the 44th International Conference on Software Engineering

Static inference meets deep learning

CodePlan: Repository-level Coding using LLMs and Planning

Data Leakage in Notebooks: Static Detection and Better Processes

Gradual Soundness: Lessons from Static Python

HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction.

Refinement type contracts for verification of scientific investigative software

Verified Software: Theories, Tools, Experiments

Knowledge Transfer from High-Resource to Low-Resource Programming
  Languages for Code LLMs

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference
  Tools

Generative Type Inference for Python


Specify what you want it to build, the AI asks for clarification, and then builds it.

The Rise and Potential of Large Language Model Based Agents: A Survey

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based
  Task-oriented Coordination via Collaborative Generative Agents

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language
  Model as an Agent

Personal LLM Agents: Insights and Survey about the Capability,
  Efficiency and Security

An In-depth Survey of Large Language Model-based Artificial Intelligence
  Agents

Experiential Co-Learning of Software-Developing Agents

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

Large Language Models as Subpopulation Representative Models: A Review


Nim implementation of the Ethereum Beacon Chain

Resource Analysis of Ethereum 2.0 Clients

Security Review of Ethereum Beacon Clients


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

Visualizing and Explaining Language Models

Method and System for Image Analysis to Detect Cancer

DSL Approach to Deep Learning Lifecycle Data Management

Sampling weights of deep neural networks

Predictive Uncertainty through Quantization

mlf-core: a framework for deterministic machine learning


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

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

Porting WarpX to GPU-accelerated platforms

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

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

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

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

Toward the modeling of chains of plasma accelerator stages with WarpX

Snowmass21 Accelerator Modeling Community White Paper


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

IETI-DP for conforming multi-patch Isogeometric Analysis in three
  dimensions

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

Inexact IETI-DP for conforming isogeometric multi-patch discretizations

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

Multigrid solvers for isogeometric discretizations of the second biharmonic problem


Dafny is a verification-aware programming language

Refinement Reflection: Complete Verification with SMT

Symposium on Principles of Programming Languages

Verus: Verifying Rust Programs using Linear Ghost Types

Formal Verification of the Ethereum 2.0 Beacon Chain

Better Counterexamples for Dafny

Tools and Algorithms for the Construction and Analysis of Systems

Verification of the Incremental Merkle Tree Algorithm with Dafny

Robustness Testing of Intermediate Verifiers

More Programming Than Programming: Teaching Formal Methods in a Software Engineering Programme

Formal and Executable Semantics of the Ethereum Virtual Machine in Dafny

Case studies of development of verified programs with Dafny for
  accessibility assessment

SafeRESTScript: Statically Checking REST API Consumers.


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

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

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

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

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

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

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

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

Compression with the tudocomp Framework


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

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

Computers and electronics in agriculture

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

Tomato detection based on modified YOLOv3 framework

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

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

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

RADIATE: A Radar Dataset for Automotive Perception in Bad Weather

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

Fully automatic wound segmentation with deep convolutional neural networks

Artificial intelligence detection of distal radius fractures: a comparison between the convolutional neural network and professional assessments


Caffe: a fast open framework for deep learning.

SSD: Single Shot MultiBox Detector

Mixed Precision Training

ParseNet: Looking Wider to See Better

Pelee: A Real-Time Object Detection System on Mobile Devices

Extremely Low Bit Neural Network: Squeeze the Last Bit Out with ADMM

Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

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

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction

Dynamic Zoom-in Network for Fast Object Detection in Large Images

R^3-Net: A Deep Network for Multi-oriented Vehicle Detection in Aerial Images and Videos

IEEE transactions on geoscience and remote sensing


MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

MIMIC-III, a freely accessible critical care database

Prognostic accuracy of the serum lactate level, the SOFA score and the qSOFA score for mortality among adults with Sepsis

Scandinavian journal of trauma, resuscitation and emergency medicine

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

PPGAN: Privacy-preserving Generative Adversarial Network

International Conference on Parallel and Distributed Systems

Association between elevated central venous pressure and outcomes in critically ill patients

Red blood cell distribution width predicts long-term mortality in critically ill patients with acute kidney injury: a retrospective database study

Machine Learning Prediction Models for Mechanically Ventilated Patients: Analyses of the MIMIC-III Database

Prognosis predictive value of the Oxford Acute Severity of Illness Score for sepsis: a retrospective cohort study

Serum anion gap on admission predicts intensive care unit mortality in patients with aortic aneurysm

Healthsheet: Development of a Transparency Artifact for Health Datasets


A QUIC implementation in pure Go

A Survey on Recent Advances in Transport Layer Protocols

IEEE Communications surveys and tutorials/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

Adding Forward Erasure Correction to QUIC

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

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

2023 IFIP Networking Conference (IFIP Networking)

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


A modern, portable, easy to use crypto library.

Constant-Time Foundations for the New Spectre Era

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

Proceedings of the ACM on programming languages

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Password-authenticated searchable encryption

International journal of information security

Binsec/Rel: Symbolic Binary Analyzer for Security with Applications to Constant-Time and Secret-Erasure

Util::Lookup: Exploiting key decoding in cryptographic libraries

A Tutorial on the Interoperability of Self-sovereign Identities

Improving type information inferred by decompilers with supervised
  machine learning

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

Binary Diffing as a Network Alignment Problem via Belief Propagation

International Conference on Automated Software Engineering


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

A First Look at Commercial 5G Performance on Smartphones

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

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

Beyond socket options: making the Linux TCP stack truly extensible

Kollaps: Decentralized and Dynamic Topology Emulation

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

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

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

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

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

A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers


LLM inference in C/C++

Training language models to follow instructions with human feedback

LLaMA: Open and Efficient Foundation Language Models

A Survey of Large Language Models

Extending Context Window of Large Language Models via Positional
  Interpolation

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

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

A Simple and Effective Pruning Approach for Large Language Models

Efficient Methods for Natural Language Processing: A Survey

Understanding Social Reasoning in Language Models with Language Models


Context Broker and CEF building block for context data management, providing NGSI interfaces.

Providing Personalized Energy Management and Awareness Services for Energy Efficiency in Smart Buildings

Embracing the Future Internet of Things

Advancing Experimentation-as-a-Service Through Urban IoT Experiments

Efficient Execution of Complex Context Queries to Enable Near Real-Time Smart IoT Applications

Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration

Exploiting the Internet Resources for Autonomous Robots in Agriculture

From Traditional Adaptive Data Caching to Adaptive Context Caching: A
  Survey

Adaptive Context Caching for IoT-Based Applications: A Reinforcement Learning Approach

LearningCity: Knowledge Generation for Smart Cities

Smart Cities Performability, Cognition, & Security

VirIoT: A Cloud of Things That Offers IoT Infrastructures as a Service


Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more

Practical guide for managing large-scale human genome data in research

Towards a Security Stress-Test for Cloud Configurations

Machine Learning Systems are Bloated and Vulnerable

Semantic Similarity-Based Clustering of Findings From Security Testing
  Tools


GraalVM compiles Java applications into native executables that start instantly, scale fast, and use fewer compute resources

Duet Benchmarking: Improving Measurement Accuracy in the Cloud

PROCEEDINGS OF THE ACM/SPEC INTERNATIONAL CONFERENCE ON PERFORMANCE ENGINEERING (ICPE'20)

AUGER: Automatically Generating Review Comments with Pre-training Models

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5

Exploring Aspects of Polyglot High-Performance Virtual Machine GraalVM

Next-generation Web Applications with WebAssembly and TruffleWasm

International Convention on Information and Communication Technology, Electronics and Microelectronics

Graalvisor: Virtualized Polyglot Runtime for Serverless Applications

Verifying Term Graph Optimizations using Isabelle/HOL

Proceedings of the 12th ACM SIGPLAN International Conference on Certified Programs and Proofs


Linux kernel source tree

Holistic Evaluation of Language Models

CacheOut: Leaking Data on Intel CPUs via Cache Evictions

Deep Learning for Source Code Modeling and Generation

V0LTpwn: Attacking x86 Processor Integrity from Software

An experience report on applying software testing academic results in industry: we need usable automated test generation

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE)

MVD: Memory-Related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks

Proceedings of the 44th International Conference on Software Engineering

Enabling rootless Linux Containers in multi-user environments: the udocker tool

Influence analysis of Github repositories

Foundation Models and Fair Use

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering


Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

PaLM: Scaling Language Modeling with Pathways

PaLM 2 Technical Report

VeLO: Training Versatile Learned Optimizers by Scaling Up

Efficient Large Language Models: A Survey

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in
  Transformer Models

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

Instruct-Imagen: Image Generation with Multi-modal Instruction

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering

USM-Lite: Quantization and Sparsity Aware Fine-tuning for Speech
  Recognition with Universal Speech Models

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


A framework for distributed systems verification, with fault injection

Elle: Inferring Isolation Anomalies from Experimental Observations

On the Complexity of Checking Transactional Consistency

Enhancing Failure Propagation Analysis in Cloud Computing Systems

Frisbee: A Suite for Benchmarking Systems Recovery

Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems

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

A Framework for Consistency Algorithms

Event-Driven Testing For Edge Applications


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

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

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

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

Data Analysis using ALICE Run 3 Framework

Unified Training of Universal Time Series Forecasting Transformers


ApsimX is the next generation of APSIM

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

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


Go ahead and axolotl questions

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

NEFTune: Noisy Embeddings Improve Instruction Finetuning

Continual Pre-Training of Large Language Models: How to (re)warm your
  model?

Medusa: Simple LLM Inference Acceleration Framework with Multiple
  Decoding Heads

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks


Python library for audio and music analysis

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition

A Joint Detection-Classification Model for Audio Tagging of Weakly
  Labelled Data

UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

Masked Conditional Neural Networks for sound classification

Multi-Task Self-Supervised Pre-Training for Music Classification

Language Impairment in Alzheimer’s Disease—Robust and Explainable Evidence for AD-Related Deterioration of Spontaneous Speech Through Multilingual Machine Learning

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

Deep Learning-Based Automatic Downbeat Tracking: A Brief Review

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Attention-based hybrid CNN-LSTM and spectral data augmentation for COVID-19 diagnosis from cough sound

Journal of intelligent information systems


TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

Computation-efficient Deep Learning for Computer Vision: A Survey

Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices.

Automation Slicing and Testing for in-App Deep Learning Models


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


Swarm: Censorship resistant storage and communication infrastructure for a truly sovereign digital society

Blockchain and Property in 2018: At the End of the Beginning

Innovations: Technology, Governance, Globalization

Incentivized Delivery Network of IoT Software Updates Based on Trustless Proof-of-Distribution

An empirical study of blockchain system vulnerabilities: modules, types, and patterns

Secure Modular Smart Contract Platform for Multi-Tenant 5G Applications


NL-Augmenter  →  A Collaborative Repository of Natural Language Transformations

Holistic Evaluation of Language Models

NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation

Multi-lingual Evaluation of Code Generation Models

ReCode: Robustness Evaluation of Code Generation Models

Automatic Construction of Evaluation Suites for Natural Language Generation Datasets

Bias Mitigation in Machine Translation Quality Estimation

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

AugCSE: Contrastive Sentence Embedding with Diverse Augmentations

Multimodal Robustness for Neural Machine Translation

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Causally Estimating the Sensitivity of Neural NLP Models to Spurious Features


Reference implementations of MLPerf™ inference benchmarks

MLPerf Inference Benchmark

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

LazyBatching: An SLA-aware Batching System for Cloud Machine Learning Inference

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs

NeuMMU: Architectural Support for Efficient Address Translations in Neural Processing Units

On the Accuracy of Analog Neural Network Inference Accelerators

Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization

Exploring the Impact of Virtualization on the Usability of Deep Learning Applications

ECRM: Efficient Fault Tolerance for Recommendation Model Training via Erasure Coding.


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.

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

uBFT: Microsecond-Scale BFT using Disaggregated Memory

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

In-Context Learning with Many Demonstration Examples

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

Zenodo (CERN European Organization for Nuclear Research)

HyperLogLog: Exponentially Bad in Adversarial Settings

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

Galleon: Reshaping the Square Peg of NFV

The evolution of the CMS monitoring infrastructure

Improving Efficiency and Scalability of Formula-based Debugging


OpenVPN  is  an open source VPN daemon

Client-side Vulnerabilities in Commercial VPNs

Evaluating Susceptibility of VPN Implementations to DoS Attacks Using Adversarial Testing


The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

The Cost of Application-Class Processing: Energy and Performance Analysis of a Linux-Ready 1.7-GHz 64-Bit RISC-V Core in 22-nm FDSOI Technology

IEEE transactions on very large scale integration (VLSI) systems

Agile SoC Development with Open ESP : Invited Paper

Proceedings of the 39th International Conference on Computer-Aided Design

FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing

ESP4ML: Platform-Based Design of Systems-on-Chip for Embedded Machine Learning

PROCEEDINGS OF THE 2020 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2020)

A RISC-V Post Quantum Cryptography Instruction Set Extension for Number Theoretic Transform to Speed-Up CRYSTALS Algorithms

Analysis of Single Board Architectures Integrating Sensors Technologies

Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications

Optimizing Design Verification using Machine Learning: Doing better than
  Random

Assessment of Reinforcement Learning for Macro Placement

Using LLMs to Facilitate Formal Verification of RTL


Event-based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence

Event-Based, 6-DOF Camera Tracking from Photometric Depth Maps

v2e: From Video Frames to Realistic DVS Events

Globally Optimal Contrast Maximisation for Event-based Motion Estimation

Event-based Star Tracking via Multiresolution Progressive Hough Transforms

Tight Fusion of Events and Inertial Measurements for Direct Velocity Estimation

Event-based Background-Oriented Schlieren


A PyTorch Extension:  Tools for easy mixed precision and distributed training in Pytorch

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Longformer: The Long-Document Transformer

MMDetection: Open MMLab Detection Toolbox and Benchmark

UNITER: UNiversal Image-TExt Representation Learning

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

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

HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training

UNITER: Learning UNiversal Image-TExt Representations

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


the LIBpcap interface to various kernel packet capture mechanism

Early Detection of Network Attacks Using Deep Learning

A dataset of full-stack ITS-G5 DSRC communications over licensed and unlicensed bands using a large-scale urban testbed

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


A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images.

Deep Learning in Forestry Using UAV-Acquired RGB Data: A Practical Review

CNN-Based Tree Species Classification Using High Resolution RGB Image Data from Automated UAV Observations

Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry

The self-supervised spectral-spatial attention-based transformer network
  for automated, accurate prediction of crop nitrogen status from UAV imagery

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained

Detecting and Counting Oysters

Mapping of Rumex obtusifolius in nature conservation areas using very high resolution UAV imagery and deep learning

International journal of applied earth observation and geoinformation

End-to-end Precision Agriculture UAV-Based Functionalities Tailored to Field Characteristics

Journal of intelligent & robotic systems

A Structure-from-Motion Pipeline for Generating Digital Elevation Models for Surface-Runoff Analysis

PatchMatch-Stereo-Panorama, a fast dense reconstruction from 360° video images


Algorand's official implementation in Go.

Prism: Scaling Bitcoin by 10, 000x.

Practical Low Latency Proof of Work Consensus

A Study of MEV Extraction Techniques on a First-Come-First-Served
  Blockchain


PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

Rethinking the Inception Architecture for Computer Vision

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

MobileNetV2: Inverted Residuals and Linear Bottlenecks

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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


democratize access to car decoder rings

CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data

Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection

CANMatch: A Fully Automated Tool for CAN Bus Reverse Engineering Based on Frame Matching

IEEE transactions on vehicular technology

TTIDS: Transmission-Resuming Time-Based Intrusion Detection System for Controller Area Network (CAN)

Bit-Level Automotive Controller Area Network Message Reverse Framework Based on Linear Regression

X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network

CA-CRE: Classification Algorithm-Based Controller Area Network Payload Format Reverse-Engineering Method


Dynamic Documents for R

IUCNN – Deep learning approaches to approximate species' extinction risk

ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R

STR: Seasonal-Trend Decomposition Using Regression

Cancer Predisposition Sequencing Reporter (CPSR): a flexible variant report engine for germline screening in cancer

Biodose Tools: an R shiny application for biological dosimetry

International journal of radiation biology

Does the maturation of early sleep patterns predict language ability at school entry? A Born in Bradford study

A database of handwriting samples for applications in forensic statistics

Opinionated Practices for Teaching Reproducibility: Motivation, Guided Instruction and Practice

dataquieR: assessment of data quality in epidemiological research

Seasonal lead release to drinking water and the effect of aluminum


python parser for human readable dates

Neural Module Networks for Reasoning over Text

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

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

QuoteKG: A Multilingual Knowledge Graph of Quotes


Modin: Scale your Pandas workflows by changing a single line of code

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

Towards Scalable Dataframe Systems


Cuckoo Sandbox is an automated dynamic malware analysis system

Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network


RFCs for changes to Rust

Leveraging Rust Types for Modular Specification and Verification

Proceedings of the ACM on programming languages

Suspending OpenMP Tasks on Asynchronous Events: Extending the Taskwait Construct

OpenMP: Advanced Task-Based, Device and Compiler Programming

Putting the Semantics into Semantic Versioning

Rusty Variation: Deadlock-free Sessions with Failure in Rust

The Usability of Ownership.

Rust Distilled: An Expressive Tower of Languages

Knowing when to ask: sound scheduling of name resolution in type checkers derived from declarative specifications

Dependent type systems as macros

An Empirical Study of Yanked Releases in the Rust Package Registry

IEEE transactions on software engineering

Borrowing Safe Pointers from Rust in SPARK


The official repository for the Weather Research and Forecasting (WRF) model

Sensitivity of organized convective storms to model grid spacing in current and future climates

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

A case study of wind farm effects using two wake parameterizations in the Weather Research and Forecasting (WRF) model (V3.7.1) in the presence of low-level jets

Improving dust simulations in WRF-Chem v4.1.3 coupled with the GOCART aerosol module

Resolving the influence of local flows on urban heat amplification during heatwaves

WRF-TEB: Implementation and Evaluation of the Coupled Weather Research and Forecasting (WRF) and Town Energy Balance (TEB) Model

Journal of advances in modeling earth systems

Impact of model improvements on 80 m wind speeds during the second Wind Forecast Improvement Project (WFIP2)

Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5

Microphysical processes producing high ice water contents (HIWCs) in tropical convective clouds during the HAIC-HIWC field campaign: evaluation of simulations using bulk microphysical schemes

Large-Eddy Simulations of Marine Boundary Layer Clouds Associated with Cold-Air Outbreaks during the ACTIVATE Campaign. Part I: Case Setup and Sensitivities to Large-Scale Forcings

Evaluation of idealized large-eddy simulations performed with the Weather Research and Forecasting model using turbulence measurements from a 250 m meteorological mast


eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Toward a realistic model of speech processing in the brain with
  self-supervised learning

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

ESPnet2-TTS: Extending the Edge of TTS Research

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

Ab Antiquo: Neural Proto-language Reconstruction

ByT5 model for massively multilingual grapheme-to-phoneme conversion

Revisiting NMT for Normalization of Early English Letters

North American Chapter of the Association for Computational Linguistics

Simple and Effective Unsupervised Speech Translation

Using IPA-Based Tacotron for Data Efficient Cross-Lingual Speaker
  Adaptation and Pronunciation Enhancement


Display and control your Android device

BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices

PROCEEDINGS OF THE EIGHTEENTH ACM WORKSHOP ON HOT TOPICS IN NETWORKS (HOTNETS '19)

Dashlet: Taming Swipe Uncertainty for Robust Short Video Streaming

BatteryLab: A Collaborative Platform for Power Monitoring

Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues

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

Rapid assessment of hand reaching using virtual reality and application in cerebellar stroke

The Open Perimetry Initiative: A framework for cross-platform development for the new generation of portable perimeters

ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices

Proceedings on Privacy Enhancing Technologies

PaRUS: A Virtual Reality Shopping Method Focusing on Context between
  Products and Real Usage Scenes


ShellCheck, a static analysis tool for shell scripts

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

International Conference on Software Engineering

preCICE v2: A sustainable and user-friendly coupling library

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

Executable formal semantics for the POSIX shell

A Dataset of Dockerfiles

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution.

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


Soot - A Java optimization framework

Graph Backdoor

StoryDroid: Automated Generation of Storyboard for Android Apps

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

IEEE transactions on information forensics and security

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

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

funcGNN: A Graph Neural Network Approach to Program Similarity

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

FrUITeR: A Framework for Evaluating UI Test Reuse

deGraphCS: Embedding Variable-based Flow Graph for Neural Code Search

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction


An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling

A Systematic Evaluation of Large Language Models of Code

Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Can Machines Learn Morality? The Delphi Experiment

Llemma: An Open Language Model For Mathematics

Emergent and Predictable Memorization in Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

KERPLE: Kernelized Relative Positional Embedding for Length
  Extrapolation

Datasheet for the Pile


A fast and secure runtime for WebAssembly

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Isolation Without Taxation: Near Zero Cost Transitions for SFI

TEMPOS: QoS Management Middleware for Edge Cloud Computing FaaS in the Internet of Things

A fast in-place interpreter for WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

On (the Lack of) Code Confidentiality in Trusted Execution Environments

On the Use of Web Assembly in a Serverless Context

Lecture notes in business information processing

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

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


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

The scientific world journal/TheScientificWorldjournal

InviCloak

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

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

International journal of information security


SciPy library main repository

SciPy 1.0: fundamental algorithms for scientific computing in Python

Julia: A Fresh Approach to Numerical Computing

Programming biological models in Python using PySB

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

Monthly notices of the Royal Astronomical Society

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

Forward Global Photometric Calibration of the Dark Energy Survey

FLEX: Unifying Evaluation for Few-Shot NLP

Analyzing the fine structure of distributions

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

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

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


VOLTTRON Distributed Control System Platform


Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

An Empirical Study on Deployment Faults of Deep Learning Based Mobile Applications

Towards Using Police Officers’ Business Smartphones for Contactless Fingerprint Acquisition and Enabling Fingerprint Comparison against Contact-Based Datasets

An Empirical Study of Challenges in Converting Deep Learning Models

Adaptive Frequency Filters As Efficient Global Token Mixers

Autonomous and Real-time Rock Image Classification using Convolutional Neural Networks

Prediction of Kinetic Product Ratios: Investigation of a Dynamically Controlled Case

The journal of physical chemistry. A/The journal of physical chemistry. A.


The Triton Inference Server provides an optimized cloud and edge inferencing solution.

iGniter: Interference-Aware GPU Resource Provisioning for Predictable
  DNN Inference in the Cloud

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

Active-Learning-as-a-Service: An Automatic and Efficient MLOps System
  for Data-Centric AI

A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models

Proceedings of the 16th ACM Conference on Recommender Systems

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud
  Scale Production

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing

Service Orchestration for Object Detection on Edge and Cloud in Dependable Industrial Vehicles


A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Conservative Q-Learning for Offline Reinforcement Learning

Habitat: A Platform for Embodied AI Research

Decision Transformer: Reinforcement Learning via Sequence Modeling

Dream to Control: Learning Behaviors by Latent Imagination


Topic Modelling for Humans

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

Neural Vector Spaces for Unsupervised Information Retrieval

ACM transactions on office information systems

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

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

Identification of Protein Subcellular Localization With Network and Functional Embeddings


An open-source, low-code machine learning library in Python

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method

How the Outliers Influence the Quality of Clustering?

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


A Java serialization/deserialization library to convert Java Objects into JSON and back

IoFClime: The fuzzy logic and the Internet of Things to control indoor temperature regarding the outdoor ambient conditions

Recommending API Function Calls and Code Snippets to Support Software Development

Mining API Usage Scenarios from Stack Overflow

Understanding How and Why Developers Seek and Analyze API-Related Opinions

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems

A comprehensive study of pseudo-tested methods

ChatUniTest: a ChatGPT-based automated unit test generation tool

Spatial Indexing for Data Searching in Mobile Sensing Environments

Automating Program Transformation for Java Using Semantic Patches

HAL (Le Centre pour la Communication Scientifique Directe)


A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Deep Reinforcement Learning with Double Q-learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

A Contextual-Bandit Approach to Personalized News Article Recommendation

Rainbow: Combining Improvements in Deep Reinforcement Learning

A Distributional Perspective on Reinforcement Learning

Distributional Reinforcement Learning with Quantile Regression


Ethereum Proof-of-Stake Consensus Specifications

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

Survey: Sharding in Blockchains

Blockchain for Decentralized Multi-Drone to Combat COVID-19

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

Sidechains and interoperability.

Three Attacks on Proof-of-Stake Ethereum

Blockchain-Powered Collaboration in Heterogeneous Swarms of Robots

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

The Availability-Accountability Dilemma and its Resolution via
  Accountability Gadgets

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


Python library & console tool for controlling Xiaomi smart appliances

Vulnerabilities in IoT Devices for Smart Home Environment

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

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities


Yahoo! Cloud Serving Benchmark

Clio: A Hardware-Software Co-Designed Disaggregated Memory System

Blockchains vs. Distributed Databases: Dichotomy and Fusion

Learning Semantic Program Embeddings with Graph Interval Neural Network

On Performance Stability in LSM-based Storage Systems

Understanding and optimizing persistent memory allocation

Bottlenecks in Blockchain Consensus Protocols

Security, Performance and Energy Trade-Offs of Hardware-Assisted Memory Protection Mechanisms

Symposium on Reliable Distributed Systems

Don't Trust the Cloud, Verify: Integrity and Consistency for Cloud Object Stores

How to Databasify a Blockchain: the Case of Hyperledger Fabric

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


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

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

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Controllable Multi-Interest Framework for Recommendation

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


A C++ library for interacting with JSON.

Parsing gigabytes of JSON per second

CppTransport: a platform to automate calculation of inflationary
  correlation functions

Optimising PICCANTE - an Open Source Particle-in-Cell Code for Advanced
  Simulations on Tier-0 Systems

Open chemistry: RESTful web APIs, JSON, NWChem and the modern web application

HAEC-SIM: A Simulation Framework for Highly Adaptive Energy-Efficient Computing Platforms

Simulation Tools and Techniques for Communications, Networks and System

Xu: An Automated Query Expansion and Optimization Tool

SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM
  Bitcode

MAUS: The MICE Analysis User Software


Command-line program to download videos from YouTube.com and other video sites

VISION: a video and image dataset for source identification

V3C - a Research Video Collection

DALI: a large Dataset of synchronized Audio, LyrIcs and notes, automatically created using teacher-student machine learning paradigm.

Deepfake Videos in the Wild: Analysis and Detection

D-vlog: Multimodal Vlog Dataset for Depression Detection

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

Sound of guns: digital forensics of gun audio samples meets artificial intelligence

Contrastive Learning with Positive-Negative Frame Mask for Music Representation

Understanding video streaming algorithms in the wild

Comparing Learning Methodologies for Self-Supervised Audio-Visual Representation Learning

On the Performance of Cloud-Based mHealth Applications: A Methodology on Measuring Service Response Time and a Case Study


Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™

SSD: Single Shot MultiBox Detector

Open Images V5 Text Annotation and Yet Another Mask Text Spotter

Building Computationally Efficient and Well-Generalizing Person Re-Identification Models with Metric Learning

ASL Recognition with Metric-Learning based Lightweight Network

Why You Should Try the Real Data for the Scene Text Recognition

Global Context for Convolutional Pose Machines

Deploying a smart queuing system on edge with Intel OpenVINO toolkit

LIGAR: Lightweight General-purpose Action Recognition

How to Train an Accurate and Efficient Object Detection Model on Any
  Dataset

Towards Efficient and Data Agnostic Image Classification Training Pipeline for Embedded Systems


Rocket Chip Generator

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

IACR transactions on cryptographic hardware and embedded systems

ISA Extensions for Finite Field Arithmetic

Zipper Stack: Shadow Stacks Without Shadow

Automatic Conversion from Flip-flop to 3-phase Latch-based Designs

X-HEEP: An Open-Source, Configurable and Extendible RISC-V
  Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators

Node Monitoring as a Fault Detection Countermeasure against Information Leakage within a RISC-V Microprocessor


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


ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.

The mPower study, Parkinson disease mobile data collected using ResearchKit

The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit

Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study

The asthma mobile health study, smartphone data collected using ResearchKit

Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners

Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study

Therapeutic advances in endocrinology and metabolism


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

MLlib: Machine Learning in Apache Spark

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

Matrix Computations and Optimization in Apache Spark

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

International Conference on Distributed Computing Systems

Cloud, Fog, or Edge: Where to Compute?

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

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

Performance evaluation of job schedulers on Hadoop YARN

Dimension Independent Matrix Square using MapReduce


ESMValTool: A community diagnostic and performance metrics tool for routine evaluation of Earth system models in CMIP

Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6

Quantifying Progress Across Different CMIP Phases With the ESMValTool

Journal of geophysical research. Atmospheres

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Observationally-constrained projections of an ice-free Arctic even under a low emission scenario

BGC-val: a model- and grid-independent Python toolkit to evaluate marine biogeochemical models

ERA5 and ERA-Interim Data Processing for the GlobWat Global Hydrological Model


An IPFS implementation in Go

Blockchain-Based Distributed Patient-Centric Image Management System

Security Architecture for Defining and Enforcing Security Profiles in DLT/SDN-Based IoT Systems

Passively Measuring IPFS Churn and Network Size

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers

DClaims: A Censorship Resistant Web Annotations System using IPFS and Ethereum

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports

What's inside a node? Malicious IPFS nodes under the magnifying glass

Improving Bitswap Privacy with Forwarding and Source Obfuscation


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

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

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

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


Extremely Fast Compression algorithm

Fast and Precise Type Checking for JavaScript

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

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

Hadoop Perfect File: A fast and memory-efficient metadata access archive file to face small files problem in HDFS

Journal of parallel and distributed computing

Fast OLAP Query Execution in Main Memory on Large Data in a Cluster

EIGER2 hybrid-photon-counting X-ray detectors for advanced synchrotron diffraction experiments

R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors

MRCZ – A proposed fast compressed MRC file format and direct detector normalization strategies

Validating UTF‐8 in less than one instruction per byte

FASTA/Q data compressors for MapReduce-Hadoop genomics: space and time savings made easy


Official repository for WebPageTest

Demystifying TCP Initial Window Configurations of Content Distribution Networks

Who Watches the Watchmen: Exploring Complaints on the Web

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

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


Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Deep Residual Learning for Image Recognition

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Microsoft COCO: Common Objects in Context

You Only Look Once: Unified, Real-Time Object Detection

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

YOLO9000: Better, Faster, Stronger


Suricata is a network Intrusion Detection System, Intrusion Prevention System and Network Security Monitoring engine developed by the OISF and the Suricata community.

A Comparative Analysis of Honeypots on Different Cloud Platforms

ChatIDS: Explainable Cybersecurity Using Generative AI

Honeypot Implementation in a Cloud Environment


Nix Packages collection & NixOS

Explainable Software Bot Contributions: Case Study of Automated Bug Fixes

International Workshop on Bots in Software Engineering

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

Backports

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

Self-Scaling Clusters and Reproducible Containers to Enable Scientific Computing

Software packaging and distribution for LHCb using Nix

A Quantitative Study of Security Bug Fixes of GitHub Repositories


An interactive TLS-capable intercepting HTTP proxy for penetration testers and software developers.

Discovering Vulnerabilities in COTS IoT Devices through Blackbox Fuzzing Web Management Interface

SIoTFuzzer: Fuzzing Web Interface in IoT Firmware via Stateful Message Generation

Reproducible and Adaptable Log Data Generation for Sound Cybersecurity Experiments

Asia-Pacific Computer Systems Architecture Conference


AngularJS - HTML enhanced for web apps!

We Don't Need Another Hero? The Impact of "Heroes" on Software Development

What is the Connection Between Issues, Bugs, and Enhancements?

Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects

Proceedings of the 4th ACM SIGSOFT International Workshop on Software Analytics

A Search for Improved Performance in Regular Expressions

Anomalicious: Automated Detection of Anomalous and Potentially Malicious Commits on GitHub

The significance of bug report elements

Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy

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

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


Emscripten: An LLVM-to-WebAssembly Compiler

Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8

Symposium on Principles of Programming Languages

WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web

Superoptimization of WebAssembly Bytecode

International Conference on the Art, Science and Engineering of Programming

SurfBraid: A concept tool for preparing and resource estimating quantum circuits protected by the surface code.

Wasmizer: Curating WebAssembly-driven Projects on GitHub


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

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

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

A Survey on Human-aware Robot Navigation

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

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

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


Abseil Common Libraries (C++)

Number Parsing at a Gigabyte per Second

Fine-Tuning Data Structures for Analytical Query Processing

GraphTango: A Hybrid Representation Format for Efficient Streaming Graph
  Updates and Analysis


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

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

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


PennyLane is a cross-platform Python library for differentiable programming of quantum computers.  Train a quantum computer the same way as a neural network.

PennyLane: Automatic differentiation of hybrid quantum-classical computations

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

A Quantum Computing View on Unitary Coupled Cluster Theory

Using the Parameterized Quantum Circuit combined with Variational-Quantum-Eigensolver (VQE) to create an Intelligent social workers' schedule problem solver.

Quantum Algorithms for solving Hard Constrained Optimisation Problems

Secure quantum computing for healthcare sector: A short analysis

Faking and Discriminating the Navigation Data of a Micro Aerial Vehicle Using Quantum Generative Adversarial Networks

Bug Characteristics in Quantum Software Ecosystem


Your self-hosted, globally interconnected microblogging community

Challenges in the Decentralised Web: The Mastodon Case

Integrating citizen experiences in cultural heritage archives: requirements, state of the art, and challenges

Zenodo (CERN European Organization for Nuclear Research)

Leveraging Application Data Constraints to Optimize Database-Backed Web Applications


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)

Theano: A Python framework for fast computation of mathematical expressions

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

Road Extraction by Deep Residual U-Net

IEEE geoscience and remote sensing letters

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

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


Samples for Hyperledger Fabric

Towards a Mechanism for Protecting Seller’s Interest of Cash on Delivery by using Smart Contract in Hyperledger

International journal of advanced computer science and applications/International journal of advanced computer science & applications

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains

Evaluating Blockchain Application Requirements and their Satisfaction in
  Hyperledger Fabric

Sustainable Health-Related Quality of Life in Older Adults as Supported by the vINCI Technology

Facing to Latency of Hyperledger Fabric for Blockchain-enabled IoT:
  Modeling and Analysis

A Scalable Multi-Layered Blockchain Architecture for Enhanced EHR Sharing and Drug Supply Chain Management


A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

Quantum Chemistry in the Age of Quantum Computing

A quantum engineer's guide to superconducting qubits

Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

Exponential suppression of bit or phase errors with cyclic error correction

Simulating quantum many-body dynamics on a current digital quantum computer

Efficient and noise resilient measurements for quantum chemistry on near-term quantum computers

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)

Overview and Comparison of Gate Level Quantum Software Platforms

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

Variational Quantum Generators: Generative Adversarial Quantum Machine Learning for Continuous Distributions


Repository for OpenCV's extra modules

Three-Filters-to-Normal: An Accurate and Ultrafast Surface Normal Estimator

International Conference on Robotics and Automation

Meta-Interpretive Learning from noisy images

A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots

Resource Management in Edge and Fog Computing using FogBus2 Framework

IMouse: Eyes Gesture Control System

Smart glasses for blind people

Depth Image Selection Based on Posture for Calf Body Weight Estimation

Reflection-Aware Generation and Identification of Square Marker Dictionaries

MT3S: Mobile Turkish Scene Text-to-Speech System for the Visually Impaired.

Development of a Vision System for an Intelligent Robotic Hand Prosthesis Using Neural Network Technology


A browser automation framework and ecosystem.

Learning Semantic Program Embeddings with Graph Interval Neural Network

Domestic violence during COVID-19 pandemic: The case for Indian women

Journal of community & applied social psychology

GooAQ: Open Question Answering with Diverse Answer Types

Automating Program Transformation for Java Using Semantic Patches

HAL (Le Centre pour la Communication Scientifique Directe)

Leveraging Social Media Activity and Machine Learning for HIV and Substance Abuse Risk Assessment: Development and Validation Study (Preprint)

What is the Commons Worth? Estimating the Value of Wikimedia Imagery by Observing Downstream Use

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

A First Look at COVID-19 Domain Names: Origin and Implications

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization


Spring Security

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

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases

How well does LLM generate security tests?


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

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

Quantum classifier with tailored quantum kernel

Challenges and Opportunities of Near-Term Quantum Computing Systems

Qiskit Backend Specifications for OpenQASM and OpenPulse Experiments

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation


Apache OpenWhisk is an open source serverless cloud platform

Serverless Computing: Current Trends and Open Problems

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Formal foundations of serverless computing

Proceedings of the ACM on programming languages

The Serverless Computing Survey: A Technical Primer for Design Architecture

Function delivery network: Extending serverless computing for heterogeneous platforms

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

No more, no less - A formal model for serverless computing

AQUATOPE: QoS-and-Uncertainty-Aware Resource Management for Multi-stage Serverless Workflows

TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes

Groundhog: Efficient Request Isolation in FaaS


The Go programming language

Distributed programming using role-parametric session types in go: statically-typed endpoint APIs for dynamically-instantiated communication structures

We Don't Need Another Hero? The Impact of "Heroes" on Software Development

Fast Random Integer Generation in an Interval

ACM transactions on modeling and computer simulation

What is the Connection Between Issues, Bugs, and Enhancements?

Trojan Source: Invisible Vulnerabilities

Blade: A Data Center Garbage Collector

Open or Sneaky? Fast or Slow? Light or Heavy?: Investigating Security Releases of Open Source Packages

A study of real-world data races in Golang

Proceedings of the 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation

Hero: On the Chaos When PATH Meets Modules

Breaking Type Safety in Go: An Empirical Study on the Usage of the unsafe Package

IEEE transactions on software engineering