This repository contains implementations and illustrative code to accompany DeepMind publications

Bootstrap your own latent: A new approach to self-supervised Learning

Learning to Simulate Complex Physics with Graph Networks

Perceiver: General Perception with Iterative Attention

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Learning Mesh-Based Simulation with Graph Networks

Perceiver IO: A General Architecture for Structured Inputs & Outputs

High-Performance Large-Scale Image Recognition Without Normalization

Multi-Object Representation Learning with Iterative Variational Inference

Self-Supervised MultiModal Versatile Networks

Are Labels Required for Improving Adversarial Robustness?


⚖ The CNCF Technical Oversight Committee (TOC) is the technical governing body of the CNCF Foundation.

A configurable method for benchmarking scalability of cloud-native applications

Cloud Native Privacy Engineering through DevPrivOps

Dynamics of Research into Modeling the Power Consumption of Virtual Entities Used in the Telco Cloud

Measuring the Business Value of Infrastructure Migration to the Cloud

Palgrave studies in digital business & enabling technologies

Cloud-Native Architectural Characteristics and their Impacts on Software Quality: A Validation Survey

Hawk: DevOps-driven Transparency and Accountability in Cloud Native Systems

K-ONE Playground: Reconfigurable Clusters for a Cloud-Native Testbed

Application Layer Cyber Deception Without Developer Interaction


hydra

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

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

Intrusion Detection using Network Traffic Profiling and Machine Learning for IoT

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

Vulnerabilities in IoT Devices for Smart Home Environment

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

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

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


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

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

Recent Advances in Natural Language Processing

CLARIN: Distributed Language Resources and Technology in a European Infrastructure

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

The Public License Selector: Making Open Licensing Easier

FLAT: Constructing a CLARIN Compatible Home for Language Resources

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

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

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

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

Detecting QT prolongation From a Single-lead ECG With Deep Learning

Unveiling emotion dynamics in problem-solving: a comprehensive analysis with an intelligent tutoring system using facial expressions and electrodermal activities

International Journal of Educational Technology in Higher Education

Wuthering heights: gauging fear at altitude in virtual reality

3DA: Assessing 3D-Printed Electrodes for Measuring Electrodermal Activity


HydroShare is a collaborative website for better access to data and models in the hydrologic sciences.


Distributed Asynchronous Hyperparameter Optimization in Python

CatBoost: unbiased boosting with categorical features

NewsQA: A Machine Comprehension Dataset

Hyperopt: A Python Library for Optimizing the Hyperparameters of Machine Learning Algorithms

Proceedings of the Python in Science Conferences

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Higgs Physics at the HL-LHC and HE-LHC

Regularisation of Neural Networks by Enforcing Lipschitz Continuity

Benchmark and Survey of Automated Machine Learning Frameworks

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

An Emotional Analysis of False Information in Social Media and News Articles


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

What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

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

Journal of the American Chemical Society

DeepMood: Modeling Mobile Phone Typing Dynamics for Mood Detection

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


Computing with Python functions.

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

SBI -- A toolkit for simulation-based inference

FISH-quant v2: a scalable and modular tool for smFISH image analysis

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

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

Large-scale correlation network construction for unraveling the coordination of complex biological systems

Accurate somatic variant detection using weakly supervised deep learning

Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study

Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

High Order Singular Value Decomposition for Plant Biodiversity Estimation


A library that provides an embeddable, persistent key-value store for fast storage.

Optuna: A Next-generation Hyperparameter Optimization Framework

Interleaved Sequence RNNs for Fraud Detection

Constructing and analyzing the LSM compaction design space

Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store

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

Near-Memory Address Translation

Enabling Efficient Updates in KV Storage via Hashing: Design and Performance Evaluation

BRAVO -- Biased Locking for Reader-Writer Locks

Proteus: A Self-Designing Range Filter

Proceedings of the 2022 International Conference on Management of Data

Closing the B-tree vs. LSM-tree Write Amplification Gap on Modern Storage Hardware with Built-in Transparent Compression

Toward a Better Understanding and Evaluation of Tree Structures on Flash SSDs


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

Combining Citizen Science and Deep Learning to Amplify Expertise in Neuroimaging

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

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

Overall Survival Prediction of Glioma Patients With Multiregional Radiomics

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

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

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


Tool Shed repositories maintained by the Intergalactic Utilities Commission

The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Zenodo (CERN European Organization for Nuclear Research)

Genomic Diversity across Candida auris Clinical Isolates Shapes Rapid Development of Antifungal Resistance In Vitro and In Vivo

MetaDEGalaxy: Galaxy workflow for differential abundance analysis of 16s metagenomic data

The automated Galaxy-SynBioCAD pipeline for synthetic biology design and engineering

The Complete Mitochondrial Genome of Two Armored Catfish Populations of the Genus Hypostomus (Siluriformes, Loricariidae, Hypostominae)

Impact of Porcine Arterivirus, Influenza B, and Their Coinfection on Antiviral Response in the Porcine Lung

Dynamics of maternal gene expression in Rhodnius prolixus

Chromosome-level genome assembly of Lilford’s wall lizard, Podarcis lilfordi (Günther, 1874) from the Balearic Islands (Spain)

A SARS-CoV-2 sequence submission tool for the European Nucleotide Archive


OpenMMLab Text Detection, Recognition and Understanding Toolbox

Shape Robust Text Detection with Progressive Scale Expansion Network

Real-time Scene Text Detection with Differentiable Binarization

TextSnake: A Flexible Representation for Detecting Text of Arbitrary Shapes

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

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

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

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

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

RobustScanner: Dynamically Enhancing Positional Clues for Robust Text Recognition


A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Solo-learn: A Library of Self-supervised Methods for Visual Representation Learning

Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution

Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters

INFaaS: Managed & Model-less Inference Serving

Improving the Perceptual Quality of 2D Animation Interpolation

Lightning Pose: improved animal pose estimation via semi-supervised learning, Bayesian ensembling, and cloud-native open-source tools

bioRxiv : the preprint server for biology

Importance of Data Loading Pipeline in Training Deep Neural Networks

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

EdgeFace: Efficient Face Recognition Model for Edge Devices

Progressive Compressed Records: Taking a Byte out of Deep Learning Data


Pretrained models for TensorFlow.js

PromptChainer: Chaining Large Language Model Prompts through Visual Programming

The "Shut the f**k up" Phenomenon: Characterizing Incivility in Open Source Code Review Discussions

Proceedings of the ACM on Human-Computer Interaction

The Effect of Moderation on Online Mental Health Conversations

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)

Pose Estimation for Facilitating Movement Learning from Online Videos

Proceedings of the International Conference on Advanced Visual Interfaces

Let me join you! Real-time F-formation recognition by a socially aware robot

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing

Clood CBR: Towards Microservices Oriented Case-Based Reasoning

Adaptive Accessible AR/VR Systems

Deep Learning for Computer Vision based Activity Recognition and Fall Detection of the Elderly: a Systematic Review


Bandit is a tool designed to find common security issues in Python code.

A Large-Scale Security-Oriented Static Analysis of Python Packages in PyPI

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks

A Systematic Literature Review on Large Language Models for Automated
  Program Repair

Can LLMs Patch Security Issues?

Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection

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

DeVAIC: A Tool for Security Assessment of AI-generated Code

Malicious Source Code Detection Using Transformer

AutoSafeCoder: A Multi-Agent Framework for Securing LLM Code Generation through Static Analysis and Fuzz Testing


Official GitHub repository for netCDF-C libraries and utilities.

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

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea

RGB image-based data analysis via discrete Morse theory and persistent homology


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

Cost-Effective Hyperparameter Optimization for Large Language Model Generation Inference

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

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

ChaCha for Online AutoML

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 Framework for Modeling Behavior, Energy, Autonomy, and Mobility in Transportation Systems

Multi-Criteria, Co-Evolutionary Charging Behavior: An Agent-Based Simulation of Urban Electromobility

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


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

Data Augmentation for Skin Lesion Analysis

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

PiRank: Scalable Learning To Rank via Differentiable Sorting

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations

Sampling weights of deep neural networks

Visualizing and Explaining Language Models

Method and System for Image Analysis to Detect Cancer

DSL Approach to Deep Learning Lifecycle Data Management

mlf-core: a framework for deterministic machine learning

Predictive Uncertainty through Quantization


Multi-user server for Jupyter notebooks

Computing Environments for Reproducibility: Capturing the "Whole Tale"

Teaching Data Science

Teaching Creative and Practical Data Science at Scale

Journal of Statistics and Data Science Education

Neurophysiological analytics for all! Free open-source software tools for documenting, analyzing, visualizing, and sharing using electronic notebooks

JOVIAL: Notebook-based astronomical data analysis in the cloud

Evolution of the VISPA-project

Towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: The Essen Medical Computing Platform (EMCP)

International Conference on Cognitive Machine Intelligence

Kooplex: collaborative data analytics portal for advancing sciences

Decentralized Virtual Research Environment: Empowering Peer-to-Peer Trustworthy Data Sharing and Collaboration


A fast image processing library with low memory needs.

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

H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images

ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology

Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images

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

Learn to Estimate Genetic Mutation and Microsatellite Instability with Histopathology H&E Slides in Colon Carcinoma


OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)

OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs

How do developers deal with security issue reports on GitHub?

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

Frost: A Platform for Benchmarking and Exploring Data Matching Results


Universal LLM Deployment Engine with ML Compilation

MiniCPM: Unveiling the Potential of Small Language Models with Scalable
  Training Strategies

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Efficient Large Language Models: A Survey

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

AutoDroid: LLM-powered Task Automation in Android

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

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Interactive Natural Language Processing

A Survey on Efficient Inference for Large Language Models

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM Inference with Transferable Prompt


An electronic structure package based on either plane wave basis or numerical atomic orbitals.

Open-Source Machine Learning in Computational Chemistry

Journal of chemical information and modeling

DeePKS+ABACUS as a Bridge between Expensive Quantum Mechanical Models and Machine Learning Potentials

Plane-wave-based stochastic-deterministic density functional theory for extended systems

Combining stochastic density functional theory with deep potential molecular dynamics to study warm dense matter


The official repository for the AiiDA code

AiiDA: automated interactive infrastructure and database for computational science

AiiDA 1.0, a scalable computational infrastructure for automated reproducible workflows and data provenance

Workflows in AiiDA: Engineering a high-throughput, event-based engine for robust and modular computational workflows

A posteriori metadata from automated provenance tracking: integration of AiiDA and TCOD


Brave browser for Android, iOS, Linux, macOS, Windows.

Improving Web Content Blocking With Event-Loop-Turn Granularity
  JavaScript Signatures

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection

Challenges and approaches to privacy preserving post-click conversion prediction

Blocked or Broken? Automatically Detecting When Privacy Interventions Break Websites

There's No Trick, Its Just a Simple Trick: A Web-Compat and Privacy Improving Approach to Third-party Web Storage.


A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

DRIVE: One-bit Distributed Mean Estimation

Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation

A Programmable Approach to Neural Network Compression

A Programmable Approach to Model Compression.

QUIC-FL: Quick Unbiased Compression for Federated Learning


Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Attention Is All You Need

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

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Language Models are Unsupervised Multitask Learners

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

End-to-End Object Detection with Transformers

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

Improving Language Understanding by Generative Pre-Training


Parameterize, execute, and analyze notebooks

ColabFold - Making protein folding accessible to all

Ten simple rules for writing and sharing computational analyses in Jupyter Notebooks

Integrated Visualization Editing via Parameterized Declarative Templates

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Code Duplication and Reuse in Jupyter Notebooks

Ten Simple Rules for Reproducible Research in Jupyter Notebooks

Eliciting Best Practices for Collaboration with Computational Notebooks

One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions


historical code from reddit.com

The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources

Quantifying social organization and political polarization in online platforms

Incremental Consistency Guarantees for Replicated Objects

Studies of Depression and Anxiety Using Reddit as a Data Source: Scoping Review

Averaging Gone Wrong: Using Time-Aware Analyses to Better Understand Behavior

Style Matters! Investigating Linguistic Style in Online Communities

A Reddit Dataset for the Russo-Ukrainian Conflict in 2022

Reddit and Radiation Therapy: A Descriptive Analysis of Posts and Comments Over 7 Years by Patients and Health Care Professionals

Controversial information spreads faster and further than non-controversial information in Reddit

Quantifying the Suicidal Tendency on Social Media: A Survey


Behavior Trees Library in C++. Batteries included.

Behavior Trees in Robotics and AI: An Introduction

A Survey of Behavior Trees in Robotics and AI

The Marathon 2: A Navigation System

On the Implementation of Behavior Trees in Robotics

International Conference on Robotics and Automation

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

Behavior Trees and State Machines in Robotics Applications

Reactive Task Allocation and Planning for Quadrupedal and Wheeled Robot Teaming

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

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


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

LUCID: A Framework for Reducing False Positives and Inconsistencies
  Among Container Scanning Tools


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

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


The Ultimate program analysis framework.

Ultimate Automizer and the Search for Perfect Interpolants

Tools and Algorithms for Construction and Analysis of Systems

Ultimate Taipan with Symbolic Interpretation and Fluid Abstractions

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

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

Tools and Algorithms for the Construction and Analysis of Systems

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


Netty project - an event-driven asynchronous network application framework

An automatically created novel bug dataset and its validation in bug prediction

AUGER: Automatically Generating Review Comments with Pre-training Models

The significance of bug report elements

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Do code refactorings influence the merge effort?

Accelerating covering array generation by combinatorial join for industry scale software testing


The Classical Language Toolkit

"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

The Classical Language Toolkit: An NLP Framework for Pre-Modern Languages

Meeting of the Association for Computational Linguistics

Non-Literal Text Reuse in Historical Texts: An Approach to Identify Reuse Transformations and its Application to Bible Reuse

Empirical Methods in Natural Language Processing

Auceps syllabarum: A Digital Analysis of Latin Prose Rhythm

Syllabic quantity patterns as rhythmic features for Latin authorship attribution

Evaluating Word Embeddings on Low-Resource Languages

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures
  and Languages

Data-driven Choices in Neural Part-of-Speech Tagging for Latin

Lexical and Semantic Features for Cross-lingual Text Reuse Classification: an Experiment in English and Latin Paraphrases

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Annotating Speech, Attitude and Perception Reports


Fast C++ logging library.

A Survey on Automated Log Analysis for Reliability Engineering

Alchemist: An Apache Spark ⇔ MPI interface

APTSHIELD: A Stable, Efficient and Real-Time APT Detection System for Linux Hosts

KERN

Versatile Configuration and Control Framework for Real-Time Data Acquisition Systems

Efficient Source Finding for Radio Interferometric Images

Taming Metadata-intensive HPC Jobs Through Dynamic, Application-agnostic QoS Control

IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing

Running on Raygun

Improvements in charged lepton and photon propagation for the software PROPOSAL


Refine high-quality datasets and visual AI models

ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes

E-Scooter Rider Detection and Classification in Dense Urban Environments

CPPE-5: Medical Personal Protective Equipment Dataset

The 5th Recognizing Families in the Wild Data Challenge: Predicting Kinship from Faces

SniffyArt: The Dataset of Smelling Persons

Proceedings of the 5th Workshop on analySis, Understanding and proMotion of heritAge Contents

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

LSA-T: The first continuous Argentinian Sign Language dataset for Sign Language Translation

Adversarial Detection: Attacking Object Detection in Real Time

Task Bias in Vision-Language Models

Multi-label Video Classification for Underwater Ship Inspection


FinRL:  Financial Reinforcement Learning.

Practical Deep Reinforcement Learning Approach for Stock Trading

FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

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

DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook

Dynamic Datasets and Market Environments for Financial Reinforcement Learning


An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

PettingZoo: Gym for Multi-Agent Reinforcement Learning

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

SuperSuit: Simple Microwrappers for Reinforcement Learning Environments

Learning Altruistic Behaviours in Reinforcement Learning without External Rewards

Diverse Policy Optimization for Structured Action Space


D2Go is a toolkit for efficient deep learning

Neuro-Symbolic AI: An Emerging Class of AI Workloads and their Characterization

FBNetV5: Neural Architecture Search for Multiple Tasks in One Run

PupilSense: Detection of Depressive Episodes through Pupillary Response in the Wild


Fast and flexible physics-based battery models in Python

Python Battery Mathematical Modelling (PyBaMM)

An asymptotic derivation of a single particle model with electrolyte

Degradation model of high-nickel positive electrodes: Effects of loss of active material and cyclable lithium on capacity fade

A Computationally Informed Realisation Algorithm for Lithium-Ion Batteries Implemented with LiiBRA.jl

A million cycles in a day: Enabling high-throughput computing of lithium-ion battery degradation with physics-based models

DREAM: Decentralized Reinforcement Learning for Exploration and Efficient Energy Management in Multi-Robot Systems


Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.

BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms

The μTOSCA toolchain: Mining, analyzing, and refactoring microservice‐based architectures

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

Apiary: A DBMS-Integrated Transactional Function-as-a-Service Framework

KubeHound: Detecting Microservices' Security Smells in Kubernetes Deployments

Predicting resource consumption of Kubernetes container systems using resource models

DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning

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

LWS: A Framework for Log-based Workload Simulation in Session-based SUT

The Vision of Autonomic Computing: Can LLMs Make It a Reality?


Primary repository for the Trilinos Project

MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

Zenodo (CERN European Organization for Nuclear Research)

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

A Flexible, Parallel, Adaptive Geometric Multigrid Method for FEM

ACM Transactions on Mathematical Software

Characterizing the Roles of Contributors in Open-source Scientific Software Projects

Task Parallel Incomplete Cholesky Factorization using 2D Partitioned-Block Layout

Canonical and Noncanonical Hamiltonian Operator Inference

Sphynx: A parallel multi-GPU graph partitioner for distributed-memory systems

Preconditioned least‐squares Petrov–Galerkin reduced order models

Asynchronous One-Level and Two-Level Domain Decomposition Solvers

SpDISTAL: Compiling Distributed Sparse Tensor Computations


Open-source, non-custodial, privacy preserving Bitcoin wallet for Windows, Linux, and Mac.

Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin

Pinpointing and Measuring Wasabi and Samourai CoinJoins in the Bitcoin Ecosystem.

Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain


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

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

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Xception: Deep Learning with Depthwise Separable Convolutions

mixup: Beyond Empirical Risk Minimization

Searching for MobileNetV3

SGDR: Stochastic Gradient Descent with Warm Restarts

Training data-efficient image transformers & distillation through attention


Cloud native networking and network security

Performance Analysis of Zero-Trust multi-cloud

Enabling P4 Network Telemetry in Edge Micro Data Centers With Kubernetes Orchestration

bypass4netns: Accelerating TCP/IP Communications in Rootless Containers


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

Towards Poisoning of Deep Learning Algorithms with Back-gradient Optimization

TensorLayer: A Versatile Library for Efficient Deep Learning Development

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

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

Computers and Electronics in Agriculture

Deep learning in electron microscopy

Machine Learning: Science and Technology

A Tour of TensorFlow

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

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

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

Learning Long Term Dependencies via Fourier Recurrent Units


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

RootInteractive tool for multidimensional statistical analysis, machine learning and analytical model validation


Scalable and efficient source of container resource metrics for Kubernetes built-in autoscaling pipelines.

Centralized and Federated Learning for Predictive VNF Autoscaling in Multi-Domain 5G Networks and Beyond

IEEE Transactions on Network and Service Management

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

CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Load-Balancing of Kubernetes-Based Edge Computing Infrastructure Using Resource Adaptive Proxy

Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions

A Study on the Aging and Fault Tolerance of Microservices in Kubernetes


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

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

UTMOS: UTokyo-SaruLab System for VoiceMOS Challenge 2022

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

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

ESPnet2-TTS: Extending the Edge of TTS Research

Ab Antiquo: Neural Proto-language Reconstruction

ByT5 model for massively multilingual grapheme-to-phoneme conversion

The IMS Toucan System for the Blizzard Challenge 2023

Revisiting NMT for Normalization of Early English Letters

North American Chapter of the Association for Computational Linguistics

Simple and Effective Unsupervised Speech Translation


On the Impact of Memory Allocation on High-Performance Query Processing

International Workshop on Data Management on New Hardware

Implementing Software Resiliency in HPX for Extreme Scale Computing

Async-fork: Mitigating Query Latency Spikes Incurred by the Fork-based Snapshot Mechanism from the OS Level

Is Parallel Programming Hard, And, If So, What Can You Do About It? (Release v2023.06.11a)

Concurrent Robin Hood Hashing

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


the TCPdump network dissector

Large Language Models for Code: Security Hardening and Adversarial Testing

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

How Far Have We Gone in Vulnerability Detection Using Large Language Models

VGX: Large-Scale Sample Generation for Boosting Learning-Based Software Vulnerability Analyses

Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation

International Symposium on Software Testing and Analysis

A Quantitative Study of Security Bug Fixes of GitHub Repositories


PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

A Survey of Large Language Models

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

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

Aligning Large Language Models with Human: A Survey

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

Platypus: Quick, Cheap, and Powerful Refinement of LLMs

LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition


Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Attention Is All You Need

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

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

Conformer: Convolution-augmented Transformer for Speech Recognition

Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions

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

Tacotron: Towards End-to-End Speech Synthesis

Deep Speech: Scaling up end-to-end speech recognition


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


Soot - A Java optimization framework

Graph Backdoor

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

IEEE Transactions on Information Forensics and Security

StoryDroid: Automated Generation of Storyboard for Android Apps

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

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

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

Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network


PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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

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

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy

nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data

PP-YOLOE: An evolved version of YOLO

The Deep Learning Compiler: A Comprehensive Survey

IEEE Transactions on Parallel and Distributed Systems

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

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems


Supercharge Your Model Training

DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome

Efficient Large Language Models: A Survey

FFCV: Accelerating Training by Removing Data Bottlenecks

LoRA Learns Less and Forgets Less

A Survey on Efficient Training of Transformers

Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling Laws

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities

Stop Wasting My Time! Saving Days of ImageNet and BERT Training with Latest Weight Averaging

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

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text


An adversarial example library for constructing attacks, building defenses, and benchmarking both

Explaining and Harnessing Adversarial Examples

Towards Deep Learning Models Resistant to Adversarial Attacks

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

Generating Adversarial Examples with Adversarial Networks

Adversarial Patch

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Machine Learning Testing: Survey, Landscapes and Horizons

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation


Optional static typing for Python

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

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

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

Generative Type Inference for Python

PyLabRobot: An Open-Source, Hardware Agnostic Interface for Liquid-Handling Robots and Accessories

bioRxiv : the preprint server for biology

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

EagerPy: Writing Code That Works Natively with PyTorch, TensorFlow, JAX, and NumPy

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


VOLTTRON Distributed Control System Platform


Aleth – Ethereum C++ client, tools and libraries

Decentralized Applications: The Blockchain-Empowered Software System

sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Empirically Analyzing Ethereum's Gas Mechanism

SPOC: Secure Payments for Outsourced Computations

TopoShot: uncovering Ethereum's network topology leveraging replacement transactions

PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021

Aquareum: A Centralized Ledger Enhanced with Blockchain and Trusted Computing

Ethereum's Recursive Length Prefix in ACL2

Vulnerability Analysis of Smart Contracts

Learning to Encode and Classify Test Executions


Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.

A First Look at Ad Blocking Apps on Google Play

WitheredLeaf: Finding Entity-Inconsistency Bugs with LLMs


Dynamic Instrumentation Tool Platform

Sydr: Cutting Edge Dynamic Symbolic Execution

2020 Ivannikov Ispras Open Conference (ISPRAS)

The Taint Rabbit: Optimizing Generic Taint Analysis with Dynamic Fast Path Generation

Dynamic Binary Translation for SGX Enclaves

Efficient Binary-Level Coverage Analysis

Evaluating Dynamic Binary Instrumentation Systems for Conspicuous Features and Artifacts


Mirror of Apache Kafka

AUGER: Automatically Generating Review Comments with Pre-training Models

A programming model for Hybrid Workflows: Combining task-based workflows and dataflows all-in-one

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

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

How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective

IoT Cloud Computing Middleware for Crowd Monitoring and Evacuation

International Journal of Circuits, Systems and Signal Processing

Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels


Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai

Deep Lake: a Lakehouse for Deep Learning

SCONNA: A Stochastic Computing Based Optical Accelerator for Ultra-Fast, Energy-Efficient Inference of Integer-Quantized CNNs

An Overview of the Data-Loader Landscape: Comparative Performance Analysis

Multi-class Support Vector Machine with Maximizing Minimum Margin

Video Pre-trained Transformer: A Multimodal Mixture of Pre-trained Experts


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?

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

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

Detection of Intermittent Claudication from Smartphone Inertial Data in Community Walks Using Machine Learning Classifiers

Epileptic seizure detection using CHB-MIT dataset: The overlooked perspectives

Harnessing Large Language Model to collect and analyze Metal-organic
  framework property dataset


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

Proximal Policy Optimization Algorithms

Continuous control with 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

Dueling Network Architectures for Deep Reinforcement Learning

A Contextual-Bandit Approach to Personalized News Article Recommendation

A Distributional Perspective on Reinforcement Learning

Distributional Reinforcement Learning with Quantile Regression

Doubly Robust Off-policy Value Evaluation for Reinforcement Learning

Data-Efficient Off-Policy Policy Evaluation for Reinforcement Learning


Protect and discover secrets using Gitleaks

Semantic Similarity-Based Clustering of Findings From Security Testing Tools

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

A Comparative Study of Software Secrets Reporting by Secret Detection Tools


Models and examples built with TensorFlow

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Going Deeper with Convolutions

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

Mask R-CNN

Rethinking the Inception Architecture for Computer Vision

Focal Loss for Dense Object Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Image-to-Image Translation with Conditional Adversarial Networks


SDK for developing enclaves

Precision health data: Requirements, challenges and existing techniques for data security and privacy

On The Performance of ARM TrustZone

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

Verifiable Fully Homomorphic Encryption

Machine Learning with Confidential Computing: A Systematization of Knowledge

FairCs—Blockchain-Based Fair Crowdsensing Scheme using Trusted Execution Environment

Enclave-Aware Compartmentalization and Secure Sharing with Sirius

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

Private Delegated Computations Using Strong Isolation

SCL: A Secure Concurrency Layer For Paranoid Stateful Lambdas


The math library of Lean 4

Process-Driven Autoformalization in Lean 4

TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts

Multiple-Inheritance Hazards in Dependently-Typed Algebraic Hierarchies

Guided Equality Saturation

Proceedings of the ACM on programming languages

Leveraging Compositional Methods for Modeling and Verification of an Autonomous Taxi System


The Prometheus monitoring system and time series database.

Development of the CMS detector for the CERN LHC Run 3

Rise of the Planet of Serverless Computing: A Systematic Review

Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes

CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications

Intelligent Performance Prediction: The Use Case of a Hadoop Cluster

Frisbee: A Suite for Benchmarking Systems Recovery

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

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

IEEE Transactions on Software Engineering

Hero: On the Chaos When PATH Meets Modules

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

Benefits, Challenges, and Research Topics: A Multi-vocal Literature Review of Kubernetes


Autoware - the world's leading open-source software project for autonomous driving

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

EU Long-term Dataset with Multiple Sensors for Autonomous Driving

LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR

Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform

You Can't See Me: Physical Removal Attacks on LiDAR-based Autonomous Vehicles Driving Frameworks

An Autonomous Parking System of Optimally Integrating Bidirectional Rapidly-Exploring Random Trees* and Parking-Oriented Model Predictive Control

SoK: On the Semantic AI Security in Autonomous Driving

Detecting multi-sensor fusion errors in advanced driver-assistance systems

Autonomous vehicles for micro-mobility

TiEV: The Tongji Intelligent Electric Vehicle in the Intelligent Vehicle Future Challenge of China


WebAssembly Micro Runtime (WAMR)

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

A fast in-place interpreter for WebAssembly

Isolation Without Taxation: Near Zero Cost Transitions for SFI

Characterizing and Detecting WebAssembly Runtime Bugs

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

A Comprehensive Trusted Runtime for WebAssembly with Intel SGX

IEEE Transactions on Dependable and Secure Computing

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security

Enabling Security-Oriented Orchestration of Microservices


GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.

Unified Multi-Modal Landmark Tracking for Tightly Coupled Lidar-Visual-Inertial Odometry

International Conference on Robotics and Automation

Outlier-Robust Estimation: Hardness, Minimally Tuned Algorithms, and Applications

Large-Scale LiDAR Consistent Mapping Using Hierarchical LiDAR Bundle Adjustment

Globally Consistent 3D LiDAR Mapping With GPU-Accelerated GICP Matching Cost Factors

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research

On-Orbit Inspection of an Unknown, Tumbling Target using NASA’s Astrobee Robotic Free-Flyers

The Complex-Step Derivative Approximation on Matrix Lie Groups

Under the Sand: Navigation and Localization of a Micro Aerial Vehicle for Landmine Detection with Ground-Penetrating Synthetic Aperture Radar

Locally Optimal Estimation and Control of Cable Driven Parallel Robots using Time Varying Linear Quadratic Gaussian Control

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds


Dash - Reinventing Cryptocurrency

Blockchain distributed ledger technologies for biomedical and health care applications

Journal of the American Medical Informatics Association : JAMIA

Comparison of blockchain platforms: a systematic review and healthcare examples

SoK of Used Cryptography in Blockchain

Distributed Ledger Technology Review and Decentralized Applications Development Guidelines

Decrypting distributed ledger design—taxonomy, classification and blockchain community evaluation

Defining Blockchain Governance Principles: A Comprehensive Framework

Multi-Party Timed Commitments

A Pattern Language for Blockchain Governance

Blockchain based Decentralized Applications: Technology Review and
  Development Guidelines

On the Vital Aspects and Characteristics of Cryptocurrency – A Survey


Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.

GW170104: Observation of a 50-Solar-Mass Binary Black Hole Coalescence at Redshift 0.2

GW170814: A Three-Detector Observation of Gravitational Waves from a Binary Black Hole Coalescence

Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger

Binary Black Hole Mergers in the First Advanced LIGO Observing Run

The PyCBC search for gravitational waves from compact binary coalescence

Open data from the first and second observing runs of Advanced LIGO and Advanced Virgo

Stringent constraints on neutron-star radii from multimessenger observations and nuclear theory

Summary of Tests of General Relativity with the Binary Black Hole Signals from the LIGO-Virgo Catalog GWTC-1

2-OGC: Open Gravitational-wave Catalog of Binary Mergers from Analysis of Public Advanced LIGO and Virgo Data

1-OGC: The First Open Gravitational-wave Catalog of Binary Mergers from Analysis of Public Advanced LIGO Data


Official code repository for GATK versions 4 and up

Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis

Spatially resolved clonal copy number alterations in benign and malignant tissue

Benchmarking challenging small variants with linked and long reads

A first-generation pediatric cancer dependency map

Genomic data in the All of Us Research Program

GATK PathSeq: a customizable computational tool for the discovery and identification of microbial sequences in libraries from eukaryotic hosts

Genomic and transcriptomic profiling reveals distinct molecular subsets associated with outcomes in mantle cell lymphoma

Whole Genome Sequencing in the Evaluation of Fetal Structural Anomalies: A Parallel Test with Chromosomal Microarray Plus Whole Exome Sequencing

Exome Sequencing Identifies Genes and Gene Sets Contributing to Severe Childhood Obesity, Linking PHIP Variants to Repressed POMC Transcription

Clonal Hematopoiesis Before, During, and After Human Spaceflight


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

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

TorchGeo: Deep Learning With Geospatial Data

Reducing the variance in online optimization by transporting past gradients

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

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

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

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

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

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

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

Learning Sequence Representations by Non-local Recurrent Neural Memory


OpenFaaS - Serverless Functions Made Simple

Understanding Open Source Serverless Platforms: Design Considerations and Performance

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

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

Performance Evaluation of Serverless Edge Computing for Machine Learning Applications

Function-as-a-Service Benchmarking Framework

International Conference on Cloud Computing and Services Science

Performance Evaluation of Open-Source Serverless Platforms for Kubernetes

Intelligence-Endogenous Management Platform for Computing and Network Convergence

FunLess: Functions-as-a-Service for Private Edge Cloud Systems


Guides, papers, lecture, notebooks and resources for prompt engineering

Clinical Text Summarization: Adapting Large Language Models Can Outperform Human Experts

Software Testing With Large Language Models: Survey, Landscape, and Vision

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Rephrase and Respond: Let Large Language Models Ask Better Questions for Themselves

Assessing Language Model Deployment with Risk Cards

Performance of the Large Language Model ChatGPT on the National Nurse Examinations in Japan: Evaluation Study (Preprint)

Making Them Ask and Answer: Jailbreaking Large Language Models in Few
  Queries via Disguise and Reconstruction

Demystifying RCE Vulnerabilities in LLM-Integrated Apps

LMs: Understanding Code Syntax and Semantics for Code Analysis

Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection


AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Qwen Technical Report

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

ChatDev: Communicative Agents for Software Development

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Tool Learning with Foundation Models

Multi-Agent Collaboration: Harnessing the Power of Intelligent LLM Agents

TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usage

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics


The pattern matching swiss knife

Large Language Models for Code: Security Hardening and Adversarial Testing

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

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web

Robust PDF Files Forensics Using Coding Style

Cyberattack Graph Modeling for Visual Analytics

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


A framework for few-shot evaluation of language models.

Language Models are Few-Shot Learners

Holistic Evaluation of Language Models

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

Datasets: A Community Library for Natural Language Processing

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

Instruction Tuning for Large Language Models: A Survey

LLM-Pruner: On the Structural Pruning of Large Language Models

Evaluating Large Language Models: A Comprehensive Survey

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions

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


Pytorch domain library for recommendation systems

BARS: Towards Open Benchmarking for Recommender Systems

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

BagPipe: Accelerating Deep Recommendation Model Training

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

Recent Advances in RecBole: Extensions with more Practical Considerations

Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models

A Frequency-aware Software Cache for Large Recommendation System Embeddings

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation


Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Deep Depth Completion of a Single RGB-D Image

vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design

Analyzing complex single-molecule emission patterns with deep learning

Keystone: An Open Framework for Architecting TEEs

Privado: Practical and Secure DNN Inference with Enclaves

rnn : Recurrent Library for Torch

An Instrumenting Compiler for Enforcing Confidentiality in Low-Level Code

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs


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


Data and software for building the ACL Anthology.

Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations

Examining Citations of Natural Language Processing Literature

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature

Analyzing Dataset Annotation Quality Management in the Wild

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences

Findings of the Association for Computational Linguistics: ACL 2022


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

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

Challenges and Opportunities of Near-Term Quantum Computing Systems

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


PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

A First Look at Deep Learning Apps on Smartphones

Deep Learning on Mobile Devices - A Review

PP-PicoDet: A Better Real-Time Object Detector on Mobile Devices

LFFD: A Light and Fast Face Detector for Edge Devices

From Server-Based to Client-Based Machine Learning: A Comprehensive Survey

A First Look at On-device Models in iOS Apps


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


Machine learning metrics for distributed, scalable PyTorch applications.

TorchGeo: Deep Learning With Geospatial Data

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

Unifying GANs and Score-Based Diffusion as Generative Particle Models

Comparing Hallucination Detection Metrics for Multilingual Generation

Concept-centric Personalization with Large-scale Diffusion Priors

YAMLE: Yet Another Machine Learning Environment

Continuous, Subject-Specific Attribute Control in T2I Models by
  Identifying Semantic Directions

Perturbation-Assisted Sample Synthesis: A Novel Approach for Uncertainty Quantification

Latte: Cross-framework Python package for evaluation of latent-based generative models

Comics Datasets Framework: Mix of Comics datasets for detection
  benchmarking


The OpenAPI Specification Repository

Multi-access Edge Computing: The driver behind the wheel of 5G-connected cars

Open Geospatial Software and Data: A Review of the Current State and A Perspective into the Future

ISPRS International Journal of Geo-Information

QuickREST: Property-based Test Generation of OpenAPI-Described RESTful APIs

The Smart Device Specification for Remote Labs

Specification and Automated Analysis of Inter-Parameter Dependencies in Web APIs

Enabling Automatic Discovery and Querying of Web APIs at Web Scale using Linked Data Standards

Generating GraphQL-Wrappers for REST(-like) APIs

TIRA: An OpenAPI Extension and Toolbox for GDPR Transparency in RESTful Architectures

OBA: An Ontology-Based Framework for Creating REST APIs for Knowledge Graphs

Exploiting Input Sanitization for Regex Denial of Service


Secure and fast microVMs for serverless computing.

Benchmarking, analysis, and optimization of serverless function snapshots

International Conference on Architectural Support for Programming Languages and Operating Systems

SeBS: A Serverless Benchmark Suite for Function-as-a-Service Computing

n-m-Variant Systems: Adversarial-Resistant Software Rejuvenation for Cloud-Based Web Applications


Pythonic Smart Contract Language for the EVM

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

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

HyperService: Interoperability and Programmability Across Heterogeneous Blockchains

Challenges and Common Solutions in Smart Contract Development

Precise Attack Synthesis for Smart Contracts

Vyper: A Security Comparison with Solidity Based on Common Vulnerabilities

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

Patch Transporter: Incentivized, Decentralized Software Patch System for WSN and IoT Environments

Verifiable Smart Contract Portability

Towards Distributed Clouds


Automated upstream mirror for libbpf stand-alone build.

BPFContain: Fixing the Soft Underbelly of Container Security

MiddleNet: A Unified, High-Performance NFV and Middlebox Framework With eBPF and DPDK

EndWatch: A Practical Method for Detecting Non-Termination in Real-World Software


Google Research

PaLM: Scaling Language Modeling with Pathways

DARTS: Differentiable Architecture Search

Supervised Contrastive Learning

Efficient Neural Architecture Search via Parameter Sharing

Self-Consistency Improves Chain of Thought Reasoning in Language Models

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

Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift

Rethinking Attention with Performers

Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

Stand-Alone Self-Attention in Vision Models


dplyr: A grammar of data manipulation

Oscillatory brain activity in spontaneous and induced sleep stages in flies

Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Accelerated SARS-CoV-2 intrahost evolution leading to distinct genotypes during chronic infection

medRxiv : the preprint server for health sciences

A New Tidy Data Structure to Support Exploration and Modeling of Temporal Data

Emergence and diversification of a highly invasive chestnut pathogen lineage across southeastern Europe

Dynamic Changes in Uterine NK Cell Subset Frequency and Function Over the Menstrual Cycle and Pregnancy

Multi–Cell Line Analysis of Lysosomal Proteomes Reveals Unique Features and Novel Lysosomal Proteins

Analysis of the polycystin complex (PCC) in human urinary exosome–like vesicles (ELVs)

Identification of Specific Circular RNA Expression Patterns and MicroRNA Interaction Networks in Mesial Temporal Lobe Epilepsy

Inhibition of Soluble Epoxide Hydrolase Is Protective against the Multiomic Effects of a High Glycemic Diet on Brain Microvascular Inflammation and Cognitive Dysfunction


The Scala 3 compiler, also known as Dotty.

A TASTY Alternative

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

Scoped Capabilities for Polymorphic Effects

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


Language Savant. If your repository's language is being reported incorrectly, send us a pull request!

SciPy 1.0: fundamental algorithms for scientific computing in Python

A novel approach for estimating Truck Factors

International Conference on Program Comprehension

Preprocessor-based variability in open-source and industrial software systems: An empirical study

Detecting and Characterizing Bots that Commit Code

Zenodo (CERN European Organization for Nuclear Research)

On the Impact of Programming Languages on Code Quality

ACM Transactions on Programming Languages and Systems

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

Are Game Engines Software Frameworks? A Three-perspective Study

Measuring The Impact Of Programming Language Distribution

A Study of Bug Resolution Characteristics in Popular Programming Languages

How is Open Source Software Development Different in Popular IoT Projects?


Official code for "Decoding-Time Language Model Alignment with Multiple Objectives".

Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Rewards-in-Context: Multi-objective Alignment of Foundation Models with
  Dynamic Preference Adjustment

PAD: Personalized Alignment at Decoding-Time


Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Altschuler, Jonathan Weed, and Philippe Rigollet. Full paper available at: https://papers.nips.cc/paper/6792-near-linear-time-approximation-algorithms-for-optimal-transport-via-sinkhorn-iteration.

Screening Sinkhorn Algorithm for Regularized Optimal Transport

A Graph Theoretic Additive Approximation of Optimal Transport

Optimal Transport for Stationary Markov Chains via Policy Iteration


Nested Graph Neural Networks

Graph Augmentation Learning

State of the Art and Potentialities of Graph-level Learning


A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filters

A Comprehensive Survey on Community Detection With Deep Learning

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Open-Source Toolkit for End-to-End Speech Recognition leveraging PyTorch-Lightning and Hydra.

Speech Recognition with Deep Recurrent Neural Networks

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

Conformer: Convolution-augmented Transformer for Speech Recognition

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Joint CTC-Attention based End-to-End Speech Recognition using Multi-task Learning

Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

Advances in Joint CTC-Attention based End-to-End Speech Recognition with a Deep CNN Encoder and RNN-LM

Listen, Attend and Spell

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


TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification

ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for
  Multivariate Time Series Analysis

Learning Transferable Time Series Classifier with Cross-Domain
  Pre-training from Language Model

Advancing Time Series Classification with Multimodal Language Modeling


TrafficBots V1.5: TrafficBots + HPTR. 3rd place solution for Waymo Open Sim Agent Challenge 2024.

Scene Transformer: A unified architecture for predicting multiple agent trajectories

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding

TrafficBots V1.5: Traffic Simulation via Conditional VAEs and
  Transformers with Relative Pose Encoding


A GPU accelerated branch of presto, open source pulsar search and analysis toolkit. http://www.cv.nrao.edu/~sransom/presto/

Enabling pulsar and fast transient searches using coherent dedispersion

Discoveries and timing of pulsars in NGC 6440

Monthly notices of the Royal Astronomical Society

Improved Acceleration of the GPU Fourier Domain Acceleration Search Algorithm

Coherent search for binary pulsars across all Five Keplerian parameters in radio observations using the template-bank algorithm

Monthly Notices of the Royal Astronomical Society

A GPU implementation of the harmonic sum algorithm

Discovery and timing of ten new millisecond pulsars in the globular cluster Terzan 5

The TRAPUM Small Magellanic Cloud pulsar survey with MeerKAT:I. Discovery of seven new pulsars and two Pulsar Wind Nebula associations


Compressing Large Language Models using Low Precision and Low Rank Decomposition

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

QuIP#: Even Better LLM Quantization with Hadamard Incoherence and
  Lattice Codebooks

Compressing Large Language Models using Low Rank and Low Precision
  Decomposition


MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

MOGONET integrates multi-omics data using graph convolutional networks allowing patient classification and biomarker identification

Dynamic Multimodal Information Bottleneck for Multimodality Classification

Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes

Supervised Multiple Kernel Learning approaches for multi-omics data integration


Library for Jacobian descent with PyTorch. It enables optimization of neural networks with multiple losses (e.g. multi-task learning).

Gradient Episodic Memory for Continual Learning

Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent

Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates

Multi-Task Learning as Multi-Objective Optimization

Gradient Surgery for Multi-Task Learning

Conflict-Averse Gradient Descent for Multi-task Learning

Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout

Towards Impartial Multi-task Learning

International Conference on Learning Representations

Federated Learning Meets Multi-Objective Optimization

Multi-Task Learning as a Bargaining Game


NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

Evolutionary Multi Objective Optimization Algorithm for Community Detection in Complex Social Networks

Composite Adversarial Attacks

Bayesian Optimization with High-Dimensional Outputs

Multi-objective Scheduling of Electric Vehicle Charging/Discharging with Time of Use Tariff


[NeurIPS 2024] NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video Editing

RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models

Upscale-A-Video: Temporal-Consistent Diffusion Model for Real-World Video Super-Resolution


Align your LM to express calibrated verbal statements of confidence in its long-form generations.

Proximal Policy Optimization Algorithms

Training language models to follow instructions with human feedback

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Linguistic Calibration of Long-Form Generations


Official code for Generative Marginalization Models [ICML 2024] [SPGIM 2023 Workshop Oral]

MADE: Masked Autoencoder for Distribution Estimation

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

A Deep and Tractable Density Estimator

Autoregressive Diffusion Models


Code for "Discovering Non-monotonic Autoregressive Orderings with Variational Inference" (paper and code updated from ICLR 2021)

Sequence-Level Knowledge Distillation


Circumventing the defense in "Ensemble Adversarial Training: Attacks and Defenses"

Intriguing properties of neural networks

Towards Deep Learning Models Resistant to Adversarial Attacks

Query-Efficient Black-box Adversarial Examples (superceded)


Dataset generation scripts for “Path Planning using Neural A* Search” presented in ICML-21

Gated Path Planning Networks

Path Planning using Neural A* Search

Learning Heuristic Search via Imitation

OpenTraj: Assessing Prediction Complexity in Human Trajectories Datasets

[Reproducibility Report] Path Planning using Neural A* Search


Skeleton-based action segmentation with multi-stage spatial-temporal graph convolutional neural networks (MS-GCN)

Skeleton-Based Action Segmentation With Multi-Stage Spatial-Temporal Graph Convolutional Neural Networks

Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks

Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion


Code release for "Supported Policy Optimization for Offline Reinforcement Learning" (NeurIPS 2022), https://arxiv.org/abs/2202.06239

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Beyond OOD State Actions: Supported Cross-Domain Offline Reinforcement Learning

A Simple Unified Uncertainty-Guided Framework for Offline-to-Online Reinforcement Learning


code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22

A Survey of Machine Unlearning

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

CaMU: Disentangling Causal Effects in Deep Model Unlearning


[ICML 2022] Official implementation of "Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems".

Compressed Sensing using Generative Models

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models


A library for static attributed graph outlier detection. 静态属性图节点的异常检测模型集。

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

AnomalyDAE: Dual autoencoder for anomaly detection on attributed networks

One-class graph neural networks for anomaly detection in attributed networks

Outlier Aware Network Embedding for Attributed Networks


Scripts and sources of the block-based reconstruction/refinement in cryo-EM

Pushing the resolution limit by correcting the Ewald sphere effect in single-particle Cryo-EM reconstructions

Assembly of complex viruses exemplified by a halophilic euryarchaeal virus

Cryo-EM structure of the varicella-zoster virus A-capsid


[ICML 2022] The official implementation of DWBC in "Discriminator-Weighted Offline Imitation Learning from Suboptimal Demonstrations"

Versatile Offline Imitation from Observations and Examples via Regularized State-Occupancy Matching

Theoretical Analysis of Offline Imitation With Supplementary Dataset

How to Leverage Diverse Demonstrations in Offline Imitation Learning


This repository contains the initial implementation of pre-processing for the VITON dataset, which is the most commonly utilized dataset for virtual try-on tasks.

VITON: An Image-based Virtual Try-on Network

Style-Based Global Appearance Flow for Virtual Try-On

CP-VTON+: Clothing Shape and Texture Preserving Image-Based Virtual Try-On

C-VTON: Context-Driven Image-Based Virtual Try-On Network

IEEE Workshop/Winter Conference on Applications of Computer Vision

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on

Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On


A web application for playing 20 Questions to crowdsource common sense.

CommonsenseQA 2.0: Exposing the Limits of AI through Gamification

Leap-Of-Thought: Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge

Teaching Pre-Trained Models to Systematically Reason Over Implicit Knowledge.

Editing Common Sense in Transformers

Do Large Language Models have Problem-Solving Capability under Incomplete Information Scenarios?

Teaching Smaller Language Models To Generalise To Unseen Compositional Questions

20Q: Overlap-Free World Knowledge Benchmark for Language Models

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)


MEXPRESS is a data visualization tool designed for the visualization of TCGA expression, DNA methylation and clinical data.

MEXPRESS: visualizing expression, DNA methylation and clinical TCGA data

MEXPRESS update 2019

Multi-omics analyses of tumor-associated immune-infiltrating cells with the novel immune checkpoint protein tyrosine phosphatase 1B (PTP1B) in extracellular matrix of brain-lower-grade-glioma (LGG) and uveal-melanoma (UVM)


[ACL'24] Beyond One-Preference-Fits-All Alignment: Multi-Objective Direct Preference Optimization

Disentangling Length from Quality in Direct Preference Optimization

Decoding-Time Language Model Alignment with Multiple Objectives


Source code and datasets of "RapidMatch: A Holistic Approach to Subgraph Query Processing", accepted by VLDB'21 - By Shixuan Sun, Xibo Sun, Yulin Che, Prof. Qiong Luo, and Prof. Bingsheng He

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on Management of Data

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on Hypergraphs

Evaluating Hybrid Graph Pattern Queries Using Runtime Index Graphs


BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Learning to Train a Binary Neural Network


Python routines for computing Navarro-Frenk-White halo properties

Measuring the Circumgalactic and Intergalactic Baryon Contents with Fast Radio Bursts

Weak-lensing calibration of a stellar mass-based mass proxy for redMaPPer and Voronoi Tessellation clusters in SDSS Stripe 82

Velocity dispersion and dynamical masses for 388 galaxy clusters and groups

CLUSTER-LENSING: A PYTHON PACKAGE FOR GALAXY CLUSTERS AND MISCENTERING

NFW: NFW v0.1


Implementation for NATv2.

DARTS: Differentiable Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

Towards Accurate and Compact Architectures via Neural Architecture Transformer


[ACMMM 2021] PyTorch implementation for "Mining Latent Structures for Multimedia Recommendation"

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021

Large Multi-modal Encoders for Recommendation


Forward and Reverse Mode Automatic Differentiation (AD) in R6RS Scheme plus extensions to support nondeterministic and stochastic programming

Automatic differentiation in machine learning: a survey

SO(8) supergravity and the magic of machine learning

Divide-and-conquer checkpointing for arbitrary programs with no user annotation

Perturbation confusion in forward automatic differentiation of higher-order functions

Proceedings of the 2020 Scheme and Functional Programming Workshop


A continually expanding collection of RNA-seq tools

fastp: an ultra-fast all-in-one FASTQ preprocessor

Metascape provides a biologist-oriented resource for the analysis of systems-level datasets

miRDB: an online database for prediction of functional microRNA targets

rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq data

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

Analysis and design of RNA sequencing experiments for identifying isoform regulation

Multi-omics Data Integration, Interpretation, and Its Application

ComBat-seq: batch effect adjustment for RNA-seq count data

ANOVA-Like Differential Expression (ALDEx) Analysis for Mixed Population RNA-Seq

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

A Highly Conserved Program of Neuronal Microexons Is Misregulated in Autistic Brains


Collection of scientific publications that explore, model and predict customer churn and lifetime value (CLV)

Predicting Customer Value Using Clumpiness: From RFM to RFMC

A Joint Model of Usage and Churn in Contractual Settings

Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity

Modeling Purchasing Behavior with Sudden “Death”: A Flexible Customer Lifetime Model

Leveraging purchase regularity for predicting customer behavior the easy way

International Journal of Research in Marketing

“How to Project Customer Retention” Revisited: The Role of Duration Dependence

The Role of Time-Varying Contextual Factors in Latent Attrition Models for Customer Base Analysis


Inferring multi-scale neural mechanisms with brain network modelling

Modeling brain dynamics in brain tumor patients using The Virtual Brain

Modeling brain dynamics after tumor resection using The Virtual Brain


Code release to accompany paper "Geometry-Aware Gradient Algorithms for Neural Architecture Search."

Rethinking Neural Operations for Diverse Tasks

Approximate Neural Architecture Search via Operation Distribution Learning

Delve into the Performance Degradation of Differentiable Architecture Search

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021


MindSpore implementations of Generative Adversarial Networks.

Conditional Generative Adversarial Nets

Improved Training of Wasserstein GANs

Wasserstein GAN

Conditional Image Synthesis With Auxiliary Classifier GANs

Adversarial Autoencoders

BEGAN: Boundary Equilibrium Generative Adversarial Networks

ClusterGAN : Latent Space Clustering in Generative Adversarial Networks

Boundary-Seeking Generative Adversarial Networks


Code and datasets for the paper "Deepfake Text Detection: Limitations and Opportunities"

Neural Deepfake Detection with Factual Structure of Text

GRUEN for Evaluating Linguistic Quality of Generated Text

Authorship Obfuscation in Multilingual Machine-Generated Text Detection


Graph Neural Networks with Heterophily

Is Homophily a Necessity for Graph Neural Networks?

How does Heterophily Impact the Robustness of Graph Neural Networks?

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation


Stochastic PDHG with Arbitrary Sampling and Imaging Applications

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

Faster PET reconstruction with non-smooth priors by randomization and preconditioning

A New Randomized Primal-Dual Algorithm for Convex Optimization with Optimal Last Iterate Rates


FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods.

fairret: a Framework for Differentiable Fairness Regularization Terms


Easy-first dependency parser based on Hierarchical Tree LSTMs

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

DyNet: The Dynamic Neural Network Toolkit

Increasing Return on Annotation Investment: The Automatic Construction of a Universal Dependency Treebank for Dutch

LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)

Multi-Model and Crosslingual Dependency Analysis

Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from
          Raw Text to Universal Dependencies


Algorithm for detecting alternative splicing in a population of single cells. See details in Welch et al., Nucleic Acids Research 2016: http://nar.oxfordjournals.org/content/early/2016/01/05/nar.gkv1525.full

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

An Introduction to the Analysis of Single-Cell RNA-Sequencing Data

Molecular therapy. Methods & clinical development

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


A paper list of the papers on ridesharing

Optimization for dynamic ride-sharing: A review

European Journal of Operational Research

Ridesharing: The state-of-the-art and future directions

Transportation Research Part B: Methodological

Route Planning in Transportation Networks

Vehicle Routing

T-share: A large-scale dynamic taxi ridesharing service

International Conference on Data Engineering

50th Anniversary Invited Article—City Logistics: Challenges and Opportunities

Visual Exploration of Big Spatio-Temporal Urban Data: A Study of New York City Taxi Trips

IEEE transactions on visualization and computer graphics

Traffic prediction in a bike-sharing system

Advances in Geographic Information Systems

A survey of dial-a-ride problems: Literature review and recent developments

Addressing the minimum fleet problem in on-demand urban mobility


AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM

Universal and Transferable Adversarial Attacks on Aligned Language Models

Catastrophic Jailbreak of Open-source LLMs via Exploiting Generation

AmpleGCG: Learning a Universal and Transferable Generative Model of
  Adversarial Suffixes for Jailbreaking Both Open and Closed LLMs


Author implementations for VL4Pose, EGL++ and LearningLoss++, and "unofficial" implementations of various active learning algorithms for human pose estimation!

Active Learning for Convolutional Neural Networks: A Core-Set Approach

A Mathematical Analysis of Learning Loss for Active Learning in Regression

VL4Pose: Active Learning Through Out-Of-Distribution Detection For Pose Estimation

Bayesian Uncertainty and Expected Gradient Length - Regression: Two Sides Of The Same Coin?


MATLAB Code for Iterative Robust Graph for Unsupervised Change Detection of Heterogeneous Remote Sensing Images

Unsupervised Image Regression for Heterogeneous Change Detection

IEEE Transactions on Geoscience and Remote Sensing

Structure Consistency-Based Graph for Unsupervised Change Detection With Homogeneous and Heterogeneous Remote Sensing Images

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

A Fractal Projection and Markovian Segmentation-Based Approach for Multimodal Change Detection

Exploiting variational inequalities for generalized change detection on graphs

COMIC: An Unsupervised Change Detection Method for Heterogeneous Remote Sensing Images Based on Copula Mixtures and Cycle-Consistent Adversarial Networks


Official implementation of "Weakly-supervised positional contrastive learning: application to cirrhosis classification", MICCAI 2023

A Simple Framework for Contrastive Learning of Visual Representations

Supervised Contrastive Learning

Contrastive Learning with Continuous Proxy Meta-Data for 3D MRI Classification


Generative networks as inverse problems with Scattering transforms

Fractional Wavelet-Based Generative Scattering Networks

Generative networks as inverse problems with fractional wavelet scattering networks


the Great Automatic Nomenclator — The Next Million Names for Archaea and Bacteria

Addressing the sublime scale of the microbial world: reconciling an appreciation of microbial diversity with the need to describe species

Nomenclature of prokaryotic ‘Candidatus’ taxa: establishing order in the current chaos


Pansharpening Dataset

Unsupervised Hyperspectral Pansharpening via Low-rank Diffusion Model

FusionMamba: Efficient Image Fusion with State Space Model


Collection of tools and resources for linked-reads

Haplotyping germline and cancer genomes with high-throughput linked-read sequencing

Efficient and unique cobarcoding of second-generation sequencing reads from long DNA molecules enabling cost-effective and accurate sequencing, haplotyping, and de novo assembly

Resolving the full spectrum of human genome variation using Linked-Reads

Haplotype-resolved whole-genome sequencing by contiguity-preserving transposition and combinatorial indexing

Ultralow-input single-tube linked-read library method enables short-read second-generation sequencing systems to routinely generate highly accurate and economical long-range sequencing information

Haplotype tagging reveals parallel formation of hybrid races in two butterfly species

Haplotype phasing of whole human genomes using bead-based barcode partitioning in a single tube

High throughput barcoding method for genome-scale phasing


S3GRL is a scalable SGRL method for faster link prediction using efficient precomputations.

Revisiting Semi-Supervised Learning with Graph Embeddings

Link Prediction Based on Graph Neural Networks

Simplifying Subgraph Representation Learning for Scalable Link Prediction


PyTorch Implementation for Neural Graph Collaborative Filtering

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

TimeKit: A Time-series Forecasting-based Upgrade Kit for Collaborative Filtering

Spatial Autoregressive Coding for Graph Neural Recommendation


Digital Image Correlation using a Fast Fourier Transform approach

Quantitative Assessment of Digital Image Correlation Methods to Detect and Monitor Surface Displacements of Large Slope Instabilities

From Toppling to Sliding: Progressive Evolution of the Moosfluh Landslide, Switzerland

Journal of Geophysical Research: Earth Surface

Monitoring and analysis of active rockslide-glacier interactions (Moosfluh, Switzerland)

Present-day gully activity in Sisyphi Cavi, Mars - Flow-like features and block movements

Recharge response and kinematics of an unusual earthflow in Liechtenstein

Potential of multisensor assessment using digital image correlation for landslide detection and monitoring


Iso-Seq reads simulator for PacBio and ONT full-length isoform sequencing technologies

Accurate isoform discovery with IsoQuant using long reads

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data

Sequencing of individual barcoded cDNAs using Pacific Biosciences and Oxford Nanopore Technologies reveals platform-specific error patterns


Fast Laplacian estimation

Overcoming the curse of dimensionality with Laplacian regularization in semi-supervised learning

On minimal variations for unsupervised representation learning

Kernelized Diffusion maps

The Galerkin method beats Graph-Based Approaches for Spectral Algorithms


Unsupervised Differentiable Multi-aspect Network Embedding (asp2vec) (KDD2020)

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Multi-Aspect Temporal Network Embedding: A Mixture of Hawkes Process View


A Mathematica package for generating gravitational waveforms for nonspinning eccentric binary black hole mergers

Eccentric binary black hole inspiral-merger-ringdown gravitational waveform model from numerical relativity and post-Newtonian theory

Adding eccentricity to quasicircular binary-black-hole waveform models

Generalized quasi-Keplerian solution for eccentric, nonspinning compact binaries at 4PN order and the associated inspiral-merger-ringdown waveform

Study of eccentric binary black hole mergers using numerical relativity
  and an inspiral-merger-ringdown model


Simulating Neutron And X-ray Scans; a tool for condensed-matter scientists studying phonons using neutron scattering

Reinvestigation of crystal symmetry and fluctuations in La2CuO4

Phonon spectrum of underdoped HgBa_2CuO_4+δ
  investigated by neutron scattering