VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

A Complete VADER-Based Sentiment Analysis of Bitcoin (BTC) Tweets during the Era of COVID-19

Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media

Sentiment Analysis and Topic Modeling for COVID-19 Vaccine Discussions

Attention and Lexicon Regularized LSTM for Aspect-based Sentiment Analysis

Meeting of the Association for Computational Linguistics

Over a Decade of Social Opinion Mining: A Systematic Review

Sexist Slurs: Reinforcing Feminine Stereotypes Online

The Revival of the Notes Field: Leveraging the Unstructured Content in Electronic Health Records


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

Datacenter Traffic Control: Understanding Techniques and Tradeoffs

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


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

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

Computers and Electronics in Agriculture

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

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

Towards Large-Scale Small Object Detection: Survey and Benchmarks

Tomato detection based on modified YOLOv3 framework

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


The Standard DAO Framework, including Whitepaper

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

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

On the Feasibility of Decentralized Derivatives Markets

Learning Inputs in Greybox Fuzzing


Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

A global database of COVID-19 vaccinations

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

A cross-country database of COVID-19 testing

Predicting the growth and trend of COVID-19 pandemic using machine learning and cloud computing

Collectivism predicts mask use during COVID-19

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

Consumer Responses to the COVID-19 Crisis: Evidence from Bank Account Transaction Data

Quantifying the effects of the COVID-19 pandemic on gender equality on health, social, and economic indicators: a comprehensive review of data from March, 2020, to September, 2021

Are We There Yet? Big Data Significantly Overestimates COVID-19 Vaccination in the US

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

The effect of mandatory COVID-19 certificates on vaccine uptake: synthetic-control modelling of six countries


A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.

DRAPS: Dynamic and Resource-Aware Placement Scheme for Docker Containers in a Heterogeneous Cluster

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

A Container Service Chain Placement Greedy Algorithm Based on Heuristic Information

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

Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds


Optimized primitives for collective multi-GPU communication

TensorFlow: A system for large-scale machine learning

UNITER: UNiversal Image-TExt Representation Learning

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent

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

UNITER: Learning UNiversal Image-TExt Representations

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect

IEEE Transactions on Parallel and Distributed Systems

wav2letter++: The Fastest Open-source Speech Recognition System

International Conference on Acoustics, Speech, and Signal Processing

Loss Max-Pooling for Semantic Image Segmentation

Reducing Communication in Graph Neural Network Training

Fast Object Learning and Dual-arm Coordination for Cluttered Stowing, Picking, and Packing

International Conference on Robotics and Automation


Compiler for Neural Network hardware accelerators

Glow: Graph Lowering Compiler Techniques for Neural Networks

Relay: A High-Level Compiler for Deep Learning

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

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

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

Optimising AI Training Deployments using Graph Compilers and Containers


We are building an open database of COVID-19 cases with chest X-ray or CT images.

Covid-19: automatic detection from X-ray images utilizing transfer learning with convolutional neural networks

Physical and engineering sciences in medicine

Can AI Help in Screening Viral and COVID-19 Pneumonia?

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

Computer methods and programs in biomedicine

COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray Images

COVID-19 Image Data Collection

U-Net and Its Variants for Medical Image Segmentation: A Review of Theory and Applications

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Deep Learning COVID-19 Features on CXR using Limited Training Data Sets

CovidGAN: Data Augmentation Using Auxiliary Classifier GAN for Improved Covid-19 Detection

IEEE access : practical innovations, open solutions

COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images


The C-based Firmware Patching Framework for Broadcom/Cypress WiFi Chips that enables Monitor Mode, Frame Injection and much more

Human Activity Recognition Using CSI Information with Nexmon

WiFi-based Human Activity Recognition using Raspberry Pi

International Conference on Tools with Artificial Intelligence

Accurate ubiquitous localization with off-the-shelf IEEE 802.11ac devices

International Conference on Mobile Systems, Applications, and Services

QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices

Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints

A Case Study on the Monitor Mode Passive Capturing of WLAN Packets in an On-the-Move Setup

Motion Detection using CSI from Raspberry Pi 4


Code for the paper "On First-Order Meta-Learning Algorithms"

On First-Order Meta-Learning Algorithms

Meta-Learning of Neural Architectures for Few-Shot Learning

Provable Guarantees for Gradient-Based Meta-Learning

Meta-Learning Initializations for Image Segmentation

Chameleon: Learning Model Initializations Across Tasks With Different Schemas

Disentangling Task Relations for Few-shot Text Classification via Self-Supervised Hierarchical Task Clustering


Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

h2oGPT: Democratizing Large Language Models

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

H2O Open Ecosystem for State-of-the-art Large Language Models


ShellCheck, a static analysis tool for shell scripts

preCICE v2: A sustainable and user-friendly coupling library

Learning from, Understanding, and Supporting DevOps Artifacts for Docker

International Conference on Software Engineering

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

Executable formal semantics for the POSIX shell

A Dataset of Dockerfiles

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

DRIVE: Dockerfile Rule Mining and Violation Detection

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


This repository is for the legacy Mixed Reality Toolkit (MRTK) v2.  For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

Co-Designing a Real-Time Classroom Orchestration Tool to Support Teacher-AI Complementarity

Augmented Reality as a Telemedicine Platform for Remote Procedural Training

Mobile Augmented Reality: User Interfaces, Frameworks, and Intelligence

Retargetable AR: Context-aware Augmented Reality in Indoor Scenes based on 3D Scene Graph

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

Accuracy and Repeatability Tests on HoloLens 2 and HTC Vive

The Identification, Development, and Evaluation of BIM-ARDM: A BIM-Based AR Defect Management System for Construction Inspections

HoloLens 1 vs. HoloLens 2: Improvements in the New Model for Orthopedic Oncological Interventions

PerfVis: Pervasive Visualization in Immersive Augmented Reality for Performance Awareness

International Conference on Performance Engineering

Merging real and virtual worlds: An analysis of the state of the art and practical evaluation of Microsoft Hololens


Chinese version of GPT2 training code, using BERT tokenizer.

An fMRI Dataset for Concept Representation with Semantic Feature Annotations

Information Extraction and Human-Robot Dialogue towards Real-life Tasks A Baseline Study with the MobileCS Dataset

HkAmsters at CMCL 2022 Shared Task: Predicting Eye-Tracking Data from a Gradient Boosting Framework with Linguistic Features

Workshop on Cognitive Modeling and Computational Linguistics

Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors

Research on user granularity-level personalized social text generation technology

Multi-Modal Experience Inspired AI Creation

Proceedings of the 30th ACM International Conference on Multimedia

Modern Distributed Data-Parallel Large-Scale Pre-training Strategies For NLP models

Mining Error Templates for Grammatical Error Correction

Edit As You Wish: Video Caption Editing with Multi-grained User Control

Zero-shot domain paraphrase with unaligned pre-trained language models


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

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

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

Computing Environments for Reproducibility: Capturing the "Whole Tale"

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

High Velocity Kernel File Systems with Bento

CFS: A Distributed File System for Large Scale Container Platforms

A quantitative review of data formats for HEP analyses

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

Proceedings of the 2022 International Conference on Management of Data

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

Proceedings of the Practice and Experience on Advanced Research Computing

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

Accessing Data Federations with CVMFS


pygame (the library) is a Free and Open Source python programming language library for making multimedia applications like games built on top of the excellent SDL library. C, Python, Native, OpenGL.

Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models

Improving Language Understanding from Screenshots

DRAST -- A Deep Learning and AST Based Approach for Bug Localization

SMAClite: A Lightweight Environment for Multi-Agent Reinforcement Learning


This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces from Video using Pose and Lighting Normalization

Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text

Visual Speech Enhancement Without A Real Visual Stream

Cut Inner Layers: A Structured Pruning Strategy for Efficient U-Net GANs

DF40: Toward Next-Generation Deepfake Detection

Exposing Lip-syncing Deepfakes from Mouth Inconsistencies

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes


Rekall Memory Forensic Framework

A Forensic Audit of the Tor Browser Bundle

Edinburgh Napier Research Repository (Edinburgh Napier University)

The Evolution of Volatile Memory Forensics

Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

Memory Layout Extraction and Verification Method for Reliable Physical Memory Acquisition


Clone a voice in 5 seconds to generate arbitrary speech in real-time

Tacotron: Towards End-to-End Speech Synthesis

Generalized End-to-End Loss for Speaker Verification

Efficient Neural Audio Synthesis

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis

Preech: A System for Privacy-Preserving Speech Transcription

Learning Efficient Representations for Fake Speech Detection

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

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

Conference on Computer and Communications Security

A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis

DuTa-VC: A Duration-aware Typical-to-atypical Voice Conversion Approach with Diffusion Probabilistic Model

Voice Cloning: a Multi-Speaker Text-to-Speech Synthesis Approach based on Transfer Learning


BOLT: Basis of Lightning Technology (Lightning Network Specifications)

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

Interledger Approaches

Congestion Attacks in Payment Channel Networks

A Survey of Layer-Two Blockchain Protocols

An Empirical Analysis of Privacy in the Lightning Network

Flood & Loot: A Systemic Attack On The Lightning Network

Hijacking Routes in Payment Channel Networks: A Predictability Tradeoff

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

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

How to profit from payments channels


Model-based design and verification for robotics.

Footstep Planning on Uneven Terrain with Mixed-Integer Convex Optimization

IEEE-RAS International Conference on Humanoid Robots

Finding and Optimizing Certified, Collision-Free Regions in Configuration Space for Robot Manipulators

Certified polyhedral decompositions of collision-free configuration space

Understanding URDF: A Dataset and Analysis

Locosim: an Open-Source Cross-Platform Robotics Framework

Some Applications of Polynomial Optimization in Operations Research and Real-Time Decision Making


FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Mask R-CNN

Squeeze-and-Excitation Networks

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

Fast R-CNN

Non-local Neural Networks

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

R-FCN: Object Detection via Region-based Fully Convolutional Networks


Fast and flexible AutoML with learning guarantees.

AutoML to Date and Beyond: Challenges and Opportunities

Gradient Boosting Neural Networks: GrowNet

Techniques for Automated Machine Learning

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Sub-Architecture Ensemble Pruning in Neural Architecture Search

Improving Neural Architecture Search Image Classifiers via Ensemble Learning

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

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International Journal of Artificial Intelligence and Machine Learning


Veil 3.1.X (Check version info in Veil at runtime)

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

Against The Achilles' Heel: A Survey on Red Teaming for Generative
  Models

Antiforensic techniques deployed by custom developed malware in evading anti-virus detection

Generative AI in Cybersecurity


COLMAP - Structure-from-Motion and Multi-View Stereo

Structure-from-Motion Revisited

VideoDex: Learning Dexterity from Internet Videos

A COMPARISON BETWEEN 3D RECONSTRUCTION USING NERF NEURAL NETWORKS AND MVS ALGORITHMS ON CULTURAL HERITAGE IMAGES

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

Multi view stereo with semantic priors

Ātea Presence—Enabling Virtual Storytelling, Presence, and Tele-Co-Presence in an Indigenous Setting

FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Eiffel Tower: A deep-sea underwater dataset for long-term visual localization

The International Journal of Robotics Research

Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets

Event-Based Dense Reconstruction Pipeline


Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection

PAL: Proxy-Guided Black-Box Attack on Large Language Models

Large Language Models Can Be Good Privacy Protection Learners

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM
  Experts

MatChat: A large language model and application service platform for materials science

Can AI Assistants Know What They Don't Know?

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Navigating the Safety Landscape: Measuring Risks in Finetuning Large
  Language Models


Optimizer and compiler/toolchain library for WebAssembly

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

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

Next-generation Web Applications with WebAssembly and TruffleWasm

International Convention on Information and Communication Technology, Electronics and Microelectronics

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

WASMixer: Binary Obfuscation for WebAssembly

Empowering In-Browser Deep Learning Inference on Edge Devices with Just-in-Time Kernel Optimizations


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

Expectations Versus Reality: Evaluating Intrusion Detection Systems in
  Practice


A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Self-Attention Generative Adversarial Networks

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

The Creation and Detection of Deepfakes: A Survey

Deep Learning for Deepfakes Creation and Detection: A Survey

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

IEEE transactions on pattern analysis and machine intelligence

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

Detecting Deep-Fake Videos from Appearance and Behavior

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


SoftVC VITS Singing Voice Conversion

The Singing Voice Conversion Challenge 2023

SingFake: Singing Voice Deepfake Detection

FSD: An Initial Chinese Dataset for Fake Song Detection

Detecting Voice Cloning Attacks via Timbre Watermarking

CoMoSVC: Consistency Model-based Singing Voice Conversion

Using Joint Training Speaker Encoder With Consistency Loss to Achieve Cross-Lingual Voice Conversion and Expressive Voice Conversion

VITS-Based Singing Voice Conversion Leveraging Whisper and multi-scale F0 Modeling

BiSinger: Bilingual Singing Voice Synthesis

VITS-Based Singing Voice Conversion System with DSPGAN Post-Processing for SVCC2023

Leveraging Content-based Features from Multiple Acoustic Models for Singing Voice Conversion


Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Convolutional Sequence to Sequence Learning

Model compression via distillation and quantization

SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

A Neural Model for Generating Natural Language Summaries of Program Subroutines

Compositionality decomposed: how do neural networks generalise?

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Reformulating Unsupervised Style Transfer as Paraphrase Generation

Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing


Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

Image-to-Image Translation with Conditional Adversarial Networks

Exploring Speech Enhancement with Generative Adversarial Networks for Robust Speech Recognition

Distort-and-Recover: Color Enhancement using Deep Reinforcement Learning

cellSTORM—Cost-effective super-resolution on a cellphone using dSTORM

Human segmentation in surveillance video with deep learning

Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging

Deep Learning of Cancer Stem Cell Morphology Using Conditional Generative Adversarial Networks

Predicting 21 cm-line map from Lyman-α emitter distribution with generative adversarial networks

Monthly Notices of the Royal Astronomical Society

DragonPaint: Rule based bootstrapping for small data with an application to cartoon coloring

Indoor Network Generation Using Building Evacuation Maps


MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Deep Learning on Mobile Devices - A Review

MLModelCI: An Automatic Cloud Platform for Efficient MLaaS

An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms

CAAD 2018: Powerful None-Access Black-Box Attack Based on Adversarial Transformation Network


Open Location Code is a library to generate short codes, called "plus codes", that can be used as digital addresses where street addresses don't exist.

A Network Sensor Fusion Approach for a Behaviour-Based Smart Energy Environment for Co-Making Spaces

QuietPlace: An Ultrasound-Based Proof of Location Protocol with Strong Identities

Semantic Identifiers and DNS Names for IoT


Open standard for machine learning interoperability

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

MLPerf Inference Benchmark

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

Deep Learning and its Application to LHC Physics

Annual Review of Nuclear and Particle Science

MobileOne: An Improved One millisecond Mobile Backbone

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

The Deep Learning Compiler: A Comprehensive Survey

IEEE Transactions on Parallel and Distributed Systems

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention


Open-Sora: Democratizing Efficient Video Production for All

CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective

OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

GenAI Arena: An Open Evaluation Platform for Generative Models

TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation

VideoPhy: Evaluating Physical Commonsense for Video Generation

Video-Infinity: Distributed Long Video Generation

Efficiently Training 7B LLM with 1 Million Sequence Length on 8 GPUs


Heritrix is the Internet Archive's open-source, extensible, web-scale, archival-quality web crawler project.

Text mining for social science - The state and the future of computational text analysis in sociology.

JuriBERT: A Masked-Language Model Adaptation for French Legal Text

A Systematic Approach Towards Web Preservation

Natural Language Processing Pipeline to Annotate Bulgarian Legislative Documents

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

The Online Sale of Antibiotics for Veterinary Use

Animals : an open access journal from MDPI

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

Evaluation Of Word Embeddings From Large-Scale French Web Content

Impact of HTTP Cookie Violations in Web Archives


Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Searching for MobileNetV3

Pruning Filters for Efficient ConvNets

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

EAST: An Efficient and Accurate Scene Text Detector

Bag of Tricks for Image Classification with Convolutional Neural Networks

Synthetic Data for Text Localisation in Natural Images

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration


A collection of pre-trained, state-of-the-art models in the ONNX format

Serving DNNs like Clockwork: Performance Predictability from the Bottom Up

Surgical Data Science -- from Concepts toward Clinical Translation

The Deep Learning Compiler: A Comprehensive Survey

Deep learning in electron microscopy

Machine Learning: Science and Technology

Provable Repair of Deep Neural Networks

Compiling ONNX Neural Network Models Using MLIR

情報処理学会論文誌プログラミング（PRO）

An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry

ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter

Promoting High Diversity Ensemble Learning with EnsembleBench

FairCal: Fairness Calibration for Face Verification


AngularJS - HTML enhanced for web apps!

We don't need another hero?

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

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

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

The significance of bug report elements

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

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

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


Distributed Evolutionary Algorithms in Python

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

Exploring SMEFT in VH with Machine Learning

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

Bad Smells in Software Analytics Papers

ZOOpt: a toolbox for derivative-free optimization

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

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

Parallel model exploration for tumor treatment simulations

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

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


Inference Llama 2 in one file of pure C

Training Compute-Optimal Large Language Models

Mechanistically analyzing the effects of fine-tuning on procedurally defined tasks

How Far Have We Gone in Stripped Binary Code Understanding Using Large
  Language Models

LLamol: A Dynamic Multi-Conditional Generative Transformer for De Novo Molecular Design


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

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

Frisbee: A Suite for Benchmarking Systems Recovery

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

A Framework for Consistency Algorithms

ViSearch: Weak Consistency Measurement for Replicated Data Types

Event-Driven Testing For Edge Applications

Smart Casual Verification of CCF's Distributed Consensus and Consistency
  Protocols


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

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

Challenges and Opportunities of Near-Term Quantum Computing Systems

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

Yao.jl: Extensible, Efficient Framework for Quantum Algorithm Design


PX4 Autopilot Software

The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony

Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles

Model-driven engineering for mobile robotic systems: a systematic mapping study

Avis: In-Situ Model Checking for Unmanned Aerial Vehicles

Search Planning of a UAV/UGV Team with Localization Uncertainty in a Subterranean Environment

An UAV-Based Experimental Setup for Propagation Characterization in Urban Environment

IEEE Transactions on Instrumentation and Measurement

Position and Attitude Estimation Method Integrating Visual Odometer and GPS

Research on Event Accumulator Settings for Event-Based SLAM

Hardware-In-the-Loop Simulation of Time-Delayed Anti-Swing Controller for Quadrotor with Suspended Load

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping


syzkaller is an unsupervised coverage-guided kernel fuzzer

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

SlowFuzz: Automated Domain-Independent Detection of Algorithmic Complexity Vulnerabilities

Conference on Computer and Communications Security

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

Fuzzing Hardware Like Software

Fuzz4All: Universal Fuzzing with Large Language Models

Automated Detection, Exploitation, and Elimination of Double-Fetch Bugs using Modern CPU Features

STADS: Software Testing as Species Discovery

An Empirical Study of OSS-Fuzz Bugs

SyzScope: Revealing High-Risk Security Impacts of Fuzzer-Exposed Bugs in Linux kernel

SiliFuzz: Fuzzing CPUs by proxy


Open3D: A Modern Library for 3D Data Processing

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

A Multi-modal Garden Dataset and Hybrid 3D Dense Reconstruction Framework Based on Panoramic Stereo Images for a Trimming Robot

Initialization and Alignment for Adversarial Texture Optimization

Stress-Testing Point Cloud Registration on Automotive LiDAR


Official Kaggle API

Vamsa: Automated Provenance Tracking in Data Science Scripts

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data

Can Deep Neural Networks Predict Data Correlations from Column Names?

What is my data worth? From data properties to data value

Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data

UniPredict: Large Language Models are Universal Tabular Classifiers

Unleashing the Potential of Large Language Models for Predictive Tabular
  Tasks in Data Science


StableLM: Stability AI Language Models

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

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications

Unpacking the Ethical Value Alignment in Big Models

A Survey on Data Augmentation in Large Model Era

A Survey on Vision-Language-Action Models for Embodied AI

Isolating Compiler Bugs by Generating Effective Witness Programs with Large Language Models

Test-Case-Driven Programming Understanding in Large Language Models for Better Code Generation

Scaling Down to Scale Up: A Cost-Benefit Analysis of Replacing OpenAI's LLM with Open Source SLMs in Production


The Open Images dataset

Efficient Processing of Deep Neural Networks: A Tutorial and Survey

ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

Learning Intelligent Dialogs for Bounding Box Annotation

CT-SRCNN: Cascade Trained and Trimmed Deep Convolutional Neural Networks for Image Super Resolution

Learning Sparse Low-Precision Neural Networks With Learnable Regularization

Virtual-reality-based digital twin of office spaces with social distance measurement feature

The Deep Convolutional Neural Network Role in the Autonomous Navigation of Mobile Robots (SROBO)

VSE-ens: Visual-Semantic Embeddings with Efficient Negative Sampling


Python-based tools for document analysis and OCR

Fully Convolutional Neural Networks for Page Segmentation of Historical Document Images

International Workshop on Document Analysis Systems

Calamari - A High-Performance Tensorflow-based Deep Learning Package for Optical Character Recognition

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

OCR of historical printings with an application to building diachronic corpora: A case study using the RIDGES herbal corpus

Optical character recognition with neural networks and post-correction with finite state methods

International Journal on Document Analysis and Recognition (IJDAR)

Fooling OCR Systems with Adversarial Text Images

Ground Truth for training OCR engines on historical documents in German Fraktur and Early Modern Latin

Benchmarking of Document Image Analysis Tasks for Palm Leaf Manuscripts from Southeast Asia

Improving OCR Accuracy on Early Printed Books by Utilizing Cross Fold Training and Voting

OCR and post-correction of historical Finnish texts

Nordic Conference of Computational Linguistics


Define and run multi-container applications with Docker

An empirical study on self-admitted technical debt in Dockerfiles

Toward a Complete Software Stack to Integrate Quantum Key Distribution in a Cloud Environment

Using Docker Compose for the Simple Deployment of an Integrated Drug Target Screening Platform

ADO: An open digital end-to-end tank based aquaculture platform

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

minimo: a linked data and metadata storage system for small labs


Vagrant is a tool for building and distributing development environments.

preCICE v2: A sustainable and user-friendly coupling library

APR: Architectural Pattern Recommender

State of the Practice for GIS Software


The Scala 3 compiler, also known as Dotty.

A TASTY Alternative

Scoped Capabilities for Polymorphic Effects

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

Type-Preserving Compilation of Class-Based Languages

Formalizing Box Inference for Capture Calculus

A theory of higher-order subtyping with type intervals

Proceedings of the ACM on Programming Languages

The optics of language-integrated query


Parallel computing with task scheduling

Wepy: A Flexible Software Framework for Simulating Rare Events with Weighted Ensemble Resampling

The Research Software Encyclopedia: A Community Framework to Define Research Software

Simmate: a framework for materials science

POGEMA: A Benchmark Platform for Cooperative Multi-Agent Navigation

Optimizing High-Throughput Inference on Graph Neural Networks at Shared Computing Facilities with the NVIDIA Triton Inference Server


Unicorn CPU emulator framework (ARM, AArch64, M68K, Mips, Sparc, PowerPC, RiscV, S390x, TriCore, X86)

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

On the effectiveness of binary emulation in malware classification


Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

WER we are and WER we think we are

Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition

The History of Speech Recognition to the Year 2030

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability

Text-To-Speech Data Augmentation for Low Resource Speech Recognition

Ten Hard Problems in Artificial Intelligence We Must Get Right


VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator

Online Temporal Calibration for Monocular Visual-Inertial Systems

R ^2 LIVE: A Robust, Real-Time, LiDAR-Inertial-Visual Tightly-Coupled State Estimator and Mapping

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

Visual-Inertial Odometry of Aerial Robots

Relocalization, Global Optimization and Map Merging for Monocular Visual-Inertial SLAM

VIR-SLAM: visual, inertial, and ranging SLAM for single and multi-robot systems

Optimization-Based Online Initialization and Calibration of Monocular Visual-Inertial Odometry Considering Spatial-Temporal Constraints

Research on Event Accumulator Settings for Event-Based SLAM


Faker is a Python package that generates fake data for you.

KLUE: Korean Language Understanding Evaluation

GitTables: A Large-Scale Corpus of Relational Tables

Lux: Always-on Visualization Recommendations for Exploratory Dataframe Workflows

KART: Privacy Leakage Framework of Language Models Pre-trained with Clinical Records

Rapid Adaptation of BERT for Information Extraction on Domain-Specific Business Documents

Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks

Federated and Privacy-Preserving Learning of Accounting Data in Financial Statement Audits

Maintainable Log Datasets for Evaluation of Intrusion Detection Systems

Feedback Learning: Automating the Process of Correcting and Completing the Extracted Information

International Conference on Document Analysis and Recognition

Key Information Extraction From Documents: Evaluation And Generator


Image restoration with neural networks but without learning.

Deep Image Prior

International Journal of Computer Vision

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey

IEEE transactions on pattern analysis and machine intelligence

Early Stopping for Deep Image Prior

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

Deep Long Audio Inpainting

PatchNR: learning from very few images by patch normalizing flow regularization

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery

Deep Gaussian Markov Random Fields

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution


An educational resource to help anyone learn deep reinforcement learning.

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

International Conference on Robotics and Automation

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Identifying optimal cycles in quantum thermal machines with reinforcement-learning

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

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

Learning Off-Policy with Online Planning

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning


Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

Deep Learning for Sentiment Analysis : A Survey

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

On the Dimensionality of Word Embedding

Equalizing Gender Biases in Neural Machine Translation with Word Embeddings Techniques

Incorporating Glosses into Neural Word Sense Disambiguation

Learning Chinese Word Representations From Glyphs Of Characters

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Local word vectors guiding keyphrase extraction


The uncompromising Python code formatter

jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

PyThaiNLP: Thai Natural Language Processing in Python

Learning Transformer Programs

CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

cmaes : A Simple yet Practical Python Library for CMA-ES

MaD GUI: An Open-Source Python Package for Annotation and Analysis of Time-Series Data

diagNNose: A Library for Neural Activation Analysis

PyXAB – A Python Library for ��-Armed Bandit and Online Blackbox Optimization Algorithms

KiSSim: Predicting off-targets from structural similarities in the kinome

Zenodo (CERN European Organization for Nuclear Research)


A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Ten simple rules and a template for creating workflows-as-applications

Integration of Structured Biological Data Sources using Biological Expression Language

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face

mlf-core: a framework for deterministic machine learning

Councils in Action: Automating the Curation of Municipal Governance Data for Research

Hecatomb: an integrated software platform for viral metagenomics


Scapy: the Python-based interactive packet manipulation program & library.

AALpy: an active automata learning library

Sonata: Query-Driven Network Telemetry

SROS2: Usable Cyber Security Tools for ROS 2

Python Crypto Misuses in the Wild

Proceedings of the 15th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

ShieldRNN: A Distributed Flow-Based DDoS Detection Solution for IoT Using Sequence Majority Voting

Network Coding for Critical Infrastructure Networks

IoT-Scan: Network Reconnaissance for the Internet of Things

Distributed Function Chaining with Anycast Routing

DynamiQ: Planning for Dynamics in Network Streaming Analytics Systems

Experimental Validation of the Attack-Detection Capability of Encrypted Control Systems Using Man-in-the-Middle Attacks


LibRec: A Leading Java Library for Recommender Systems, see

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

Sampling-Decomposable Generative Adversarial Recommender

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Recipe Recommendation With Hierarchical Graph Attention Network

Improving Accountability in Recommender Systems Research Through Reproducibility

A User's Guide to CARSKit

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF


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

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

Weakly Supervised Adversarial Domain Adaptation for Semantic Segmentation in Urban Scenes

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

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


ASIC and FPGA miner in c for bitcoin

Diversification Across Mining Pools: Optimal Mining Strategies under PoW

Deep Differentiable Logic Gate Networks

Bitcoin Mining Decentralization via Cost Analysis

Implementation of an efficient, portable and platform-agnostic cryptocurrency mining algorithm for Internet of Things devices


Creative Commons Attribution 4.0 International

Community-curated topic and collection pages on GitHub

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms

HybridRec: A recommender system for tagging GitHub repositories

Center for Code Excellence Trends – Eine Plattform für Trends in Softwaretechnologien


TiDB is an open-source, cloud-native, distributed, MySQL-Compatible database for elastic scale and real-time analytics. Try AI-powered Chat2Query free at : https://www.pingcap.com/tidb-serverless/

Blockchains vs. Distributed Databases: Dichotomy and Fusion

RULF: Rust Library Fuzzing via API Dependency Graph Traversal

Blockchains and Distributed Databases: a Twin Study.

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Hero: On the Chaos When PATH Meets Modules

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

Coo: Consistency Check for Transactional Databases


Hexagonal hierarchical geospatial indexing system

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

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

International Journal of Geographical Information Science

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

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

The Contact and Mobility Networks of Mexico City

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash

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

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

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

MobilityDL: A Review of Deep Learning From Trajectory Data

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


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

Decentralized Applications: The Blockchain-Empowered Software System

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

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


LlamaIndex is a data framework for your LLM applications

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

RA-DIT: Retrieval-Augmented Dual Instruction Tuning

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

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities

Augmented Large Language Models with Parametric Knowledge Guiding

Privacy-Preserving In-Context Learning for Large Language Models

BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials

PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models

ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent


The Python programming language

SciPy 1.0: fundamental algorithms for scientific computing in Python

PESummary: The code agnostic Parameter Estimation Summary page builder

AALpy: an active automata learning library

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Pythia: Grammar-Based Fuzzing of REST APIs with Coverage-guided Feedback and Learning-based Mutations

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

Using fuzzy string matching for automated assessment of listener transcripts in speech intelligibility studies

Prevalence and comparisons of alcohol, candy, energy drink, snack, soda, and restaurant brand and product marketing on Twitch, Facebook Gaming and YouTube Gaming

Detecting and Understanding Real-World Differential Performance Bugs in Machine Learning Libraries

An Empirical Analysis of the Python Package Index (PyPI)


Face recognition with deep neural networks.

OpenFace: A general-purpose face recognition library with mobile applications

Deep Identity-aware Transfer of Facial Attributes

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition


Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

ServerMix: Tradeoffs and Challenges of Serverless Data Analytics

On Distribution Shift in Learning-based Bug Detectors

Quant 4.0: Engineering Quantitative Investment with Automated, Explainable and Knowledge-driven Artificial Intelligence

Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

Interpersonal Trust in OSS: Exploring Dimensions of Trust in GitHub Pull Requests

2023 IEEE/ACM 45th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER)

dagger: A Python Framework for Reproducible Machine Learning Experiment Orchestration

Empirically evaluating flaky test detection techniques combining test case rerunning and machine learning models

Arteria: An automation system for a sequencing core facility

An Empirical Study of Challenges in Machine Learning Asset Management

When conversations turn into work: a taxonomy of converted discussions and issues in GitHub


TLS/SSL and crypto library

How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits

ASSURED: Architecture for Secure Software Update of Realistic Embedded Devices

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

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

Stateful Greybox Fuzzing

An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing

Adversarial Symbolic Execution for Detecting Concurrency-Related Cache Timing Leaks

Finding real bugs in big programs with incorrectness logic

Proceedings of the ACM on Programming Languages

The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL

CANAL: A Cache Timing Analysis Framework via LLVM Transformation

Symbolic Verification of Cache Side-channel Freedom


An open-source C++ library developed and used at Facebook.

Concurrent Hash Tables: Fast and General?(!)

Jointly Optimizing Preprocessing and Inference for DNN-based Visual Analytics

Malthusian Locks

StreamBox-HBM: Stream Analytics on High Bandwidth Hybrid Memory

Exploiting Parallelism Opportunities with Deep Learning Frameworks

Towards understanding the costs of avoiding out-of-thin-air results

FELIX based readout of the Single-Phase ProtoDUNE detector

DAQling: an open-source data acquisition framework

Is Parallel Programming Hard, And, If So, What Can You Do About It? (Second Edition)


Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Resolution-robust Large Mask Inpainting with Fourier Convolutions

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

DeepLoc 2.0: multi-label subcellular localization prediction using protein language models

TEMOS: Generating diverse human motions from textual descriptions

NeMo: a toolkit for building AI applications using Neural Modules

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

Chemformer: a pre-trained transformer for computational chemistry

Machine Learning: Science and Technology

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

Objaverse-XL: A Universe of 10M+ 3D Objects

Avalanche: an End-to-End Library for Continual Learning


Produces persistent, respawning "super" cookies in a browser, abusing over a dozen techniques. Its goal is to identify users after they've removed standard cookies and other privacy data such as Flash cookies (LSOs), HTML5 storage, SilverLight storage, and others.

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

Mobile IMUs Reveal Driver's Identity From Vehicle Turns

Taming The Shape Shifter: Detecting Anti-fingerprinting Browsers


TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

The tensorflow partitioning and scheduling problem: it's the critical path!

Ariadne: analysis for machine learning programs

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

Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads

vWitness: Certifying Web Page Interactions with Computer Vision


A starter agent that can solve a number of universe environments.

Asynchronous Methods for Deep Reinforcement Learning

Value Prediction Network

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

IEEE transactions on neural networks and learning systems

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning


A standalone Java Decompiler GUI

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Providing Real-time Assistance for Repairing Runtime Exceptions using Stack Overflow Posts

So {U} R CERER: Developer-Driven Security Testing Framework for Android Apps

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem