The Predictive Ecosystem Analyzer (PEcAn) is an integrated ecological bioinformatics toolbox.

Linking big models to big data: efficient ecosystem model calibration through Bayesian model emulation

Beyond greenness: Detecting temporal changes in photosynthetic capacity with hyperspectral reflectance data

Towards agricultural soil carbon monitoring, reporting, and verification through the Field Observatory Network (FiON)

Geoscientific instrumentation, methods and data systems

Capturing site-to-site variability through Hierarchical Bayesian calibration of a process-based dynamic vegetation model

Towards understanding predictability in ecology: A forest gap model case study

A novel model–data fusion approach to terrestrial carbon cycle reanalysis across the contiguous U.S using SIPNET and PEcAn state data assimilation system v. 1.7.2

Trends in the risk of heat stress to Canadian dairy cattle in a changing climate

Towards agricultural soil carbon monitoring, reporting and verification through Field Observatory Network (FiON)


Rayon: A data parallelism library for Rust

Fusion Blossom: Fast MWPM Decoders for QEC

rustworkx: A High-Performance Graph Library for Python

Temporal Regular Path Queries

Engineering Shared-Memory Parallel Shuffling to Generate Random Permutations In-Place

The Renoir Dataflow Platform: Efficient Data Processing without Complexity


oneAPI Deep Neural Network Library (oneDNN)

AI Benchmark: All About Deep Learning on Smartphones in 2019

CosmoFlow: Using Deep Learning to Learn the Universe at Scale

FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks

IEEE Transactions on Parallel and Distributed Systems

Accelerating Data Loading in Deep Neural Network Training

International Conference on High Performance Computing

Bolt: Bridging the Gap between Auto-tuners and Hardware-native Performance

Efficient Execution of Quantized Deep Learning Models: A Compiler Approach

High-Performance Deep Learning via a Single Building Block

Flashlight: Enabling Innovation in Tools for Machine Learning

Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks

SparseTrain: Leveraging Dynamic Sparsity in Software for Training DNNs on General-Purpose SIMD Processors


The wolfSSL library is a small, fast, portable implementation of TLS/SSL for embedded devices to the cloud.  wolfSSL supports up to TLS 1.3 and DTLS 1.3!

CopyCat: Controlled Instruction-Level Attacks on Enclaves

Util::Lookup: Exploiting key decoding in cryptographic libraries

Remote attestation of confidential VMs using ephemeral vTPMs

Online Template Attacks: Revisited

IACR Transactions on Cryptographic Hardware and Embedded Systems

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

WitheredLeaf: Finding Entity-Inconsistency Bugs with LLMs

Implementation of Elliptical Curve Cryptography Based Diffie-Hellman Key Exchange Mechanism in Contiki Operating System for Internet of Things

International journal of electrical and electronics research

NestedSGX: Bootstrapping Trust to Enclaves within Confidential VMs


The source repository for the Trusted Platform Module (TPM2.0) tools

TPM-FAIL: TPM meets Timing and Lattice Attacks

TPMScan: A wide-scale study of security-relevant properties of TPM 2.0 chips


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

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

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

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

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

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

Proceedings of the 16th ACM Conference on Recommender Systems

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing

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

Physics analysis for the HL-LHC: concepts and pipelines in practice with the Analysis Grand Challenge

Packrat: Automatic Reconfiguration for Latency Minimization in CPU-based DNN Serving

Hydro: Adaptive Query Processing of ML Queries


Official Python client library for kubernetes

The Dark Energy Survey Data Release 2

The Astrophysical Journal Supplement Series

Kafka-ML: connecting the data stream with ML/AI frameworks

Enabling the Orchestration of IoT Slices through Edge and Cloud Microservice Platforms

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

PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications

Astronomical source finding services for the CIRASA visual analytic platform

Testing GitHub projects on custom resources using unprivileged Kubernetes runners

Multi-Level ML Based Burst-Aware Autoscaling for SLO Assurance and Cost
  Efficiency


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

Multi-class Support Vector Machine with Maximizing Minimum Margin

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

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


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


A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

PathVQA: 30000+ Questions for Medical Visual Question Answering

Net2Vis – A Visual Grammar for Automatically Generating Publication-Tailored CNN Architecture Visualizations

IEEE transactions on visualization and computer graphics

Towards Visual Question Answering on Pathology Images

Meeting of the Association for Computational Linguistics

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

The impact of peer review on the contribution potential of scientific papers

AmPyfier: Test amplification in Python

Automated Refugee Case Analysis: An NLP Pipeline for Supporting Legal Practitioners

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

JHU IWSLT 2023 Multilingual Speech Translation System Description

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

The Rise and Fall of the Note


Static Analyzer for Solidity and Vyper

Slither: A Static Analysis Framework for Smart Contracts

International Workshop on Emerging Trends in Software Engineering for Blockchain

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Zenodo (CERN European Organization for Nuclear Research)

Formal Specification and Verification of Smart Contracts for Azure Blockchain

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

IEEE Communications Surveys and Tutorials

Security of Blockchain-Based Supply Chain Management Systems: Challenges and Opportunities

A Framework and DataSet for Bugs in Ethereum Smart Contracts

Oracle-Supported Dynamic Exploit Generation for Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey

MPro: Combining Static and Symbolic Analysis for Scalable Testing of Smart Contract

International Symposium on Software Reliability Engineering

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions


Python library & console tool for controlling Xiaomi smart appliances

Vulnerabilities in IoT Devices for Smart Home Environment

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

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


OpenMC Monte Carlo Code

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

Fast regression of the tritium breeding ratio in fusion reactors

The Monte Carlo Computational Summit -- October 25 & 26, 2023 -- Notre
  Dame, Indiana, USA


DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

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

Common Voice: A Massively-Multilingual Speech Corpus

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems

Targeted Adversarial Examples for Black Box Audio Systems

Robust Audio Adversarial Example for a Physical Attack

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

The Discriminative Lexicon: A Unified Computational Model for the Lexicon and Lexical Processing in Comprehension and Production Grounded Not in (De)Composition but in Linear Discriminative Learning

Speaker Anonymization Using X-vector and Neural Waveform Models

Universal Adversarial Perturbations for Speech Recognition Systems


A collective list of free APIs

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

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

OpenAgents: An Open Platform for Language Agents in the Wild

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

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

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


RDFLib is a Python library for working with RDF, a simple yet powerful language for representing information.

OTM Conferences - Creating a Vocabulary for Data Privacy

ON THE MOVE TO MEANINGFUL INTERNET SYSTEMS: OTM 2019 CONFERENCES

Trusty URIs: Verifiable, Immutable, and Permanent Digital Artifacts for Linked Data

Meaningful Integration of Data from Heterogeneous Health Services and Home Environment Based on Ontology

Making Digital Artifacts on the Web Verifiable and Reliable

IEEE Transactions on Knowledge and Data Engineering

The role of software in science: a knowledge graph-based analysis of software mentions in PubMed Central

Knowledge-infused Learning for Entity Prediction in Driving Scenes

RDFFrames: Knowledge Graph Access for Machine Learning Tools

GeoSPARQL 1.1: Motivations, Details and Applications of the Decadal Update to the Most Important Geospatial LOD Standard

ISPRS International Journal of Geo-Information

PROVIDING GEOGRAPHIC DATASETS AS LINKED DATA IN SDI

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

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications


ModelScope: bring the notion of Model-as-a-Service to life.

Adding Conditional Control to Text-to-Image Diffusion Models

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

OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation

Composer: Creative and Controllable Image Synthesis with Composable Conditions

ModelScope Text-to-Video Technical Report

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

AnyDoor: Zero-shot Object-level Image Customization

One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video


The COnstraint-Based Reconstruction and Analysis Toolbox.              Documentation:

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

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

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

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

Generalized framework for context-specific metabolic model extraction methods

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

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

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

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

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection


The C based gRPC (C++, Python, Ruby, Objective-C, PHP, C#)

P4-MACsec: Dynamic Topology Monitoring and Data Layer Protection With MACsec in P4-Based SDN

Multi-representation knowledge distillation for audio classification

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

Automatic Pull Request Title Generation

Bringing IoT to the Lab: SiLA2 and Open-Source-Powered Gateway Module for Integrating Legacy Devices into the Digital Laboratory

Residue-based Label Protection Mechanisms in Vertical Logistic Regression

Runtime Software Patching: Taxonomy, Survey and Future Directions

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

Implementing a digital infrastructure for the lab using a central laboratory server and the SiLA2 communication standard

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA


QuTiP: Quantum Toolbox in Python

The SLH framework for modeling quantum input-output networks

QuTiP-BoFiN: A bosonic and fermionic numerical hierarchical-equations-of-motion library with applications in light-harvesting, quantum control, and single-molecule electronics

Accurate Methods for the Analysis of Strong-Drive Effects in Parametric Gates

QuantumFed: A Federated Learning Framework for Collaborative Quantum Training

On the Unraveling of Open Quantum Dynamics

Bug Characteristics in Quantum Software Ecosystem


Single-cell analysis in Python. Scales to >1M cells.

SCANPY: large-scale single-cell gene expression data analysis

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

PAGA: graph abstraction reconciles clustering with trajectory inference through a topology preserving map of single cells

Reconstructing cell cycle and disease progression using deep learning

Squidpy: a scalable framework for spatial omics analysis

Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis

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

Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

Embryo model completes gastrulation to neurulation and organogenesis

SARS-CoV-2 exacerbates proinflammatory responses in myeloid cells through C-type lectin receptors and Tweety family member 2


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


Rocket Chip Generator

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

IACR Transactions on Cryptographic Hardware and Embedded Systems

ISA Extensions for Finite Field Arithmetic

Zipper Stack: Shadow Stacks Without Shadow

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

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

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

NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report


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

SSD: Single Shot MultiBox Detector

Open Images V5 Text Annotation and Yet Another Mask Text Spotter

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

ASL Recognition with Metric-Learning based Lightweight Network

Deploying a smart queuing system on edge with Intel OpenVINO toolkit

Soft Computing - A Fusion of Foundations, Methodologies and Applications

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

Global Context for Convolutional Pose Machines

LIGAR: Lightweight General-purpose Action Recognition

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

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


World's fastest and most advanced password recovery utility

PassGAN: A Deep Learning Approach for Password Guessing

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

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

Generative Deep Learning Techniques for Password Generation

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

A Systematic Review on Password Guessing Tasks


WebAssembly Micro Runtime (WAMR)

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Isolation Without Taxation: Near Zero Cost Transitions for SFI

A fast in-place interpreter for WebAssembly

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


Distributed Task Queue (development branch)

LitSuggest: a web-based system for literature recommendation and curation using machine learning

The Gravitational-wave Optical Transient Observer (GOTO): prototype performance and prospects for transient science

G2PDeep: a web-based deep-learning framework for quantitative phenotype prediction and discovery of genomic markers

Realized ecological forecast through an interactive Ecological Platform for Assimilating Data (EcoPAD, v1.0) into models

Mendel,MD: A user-friendly open-source web tool for analyzing WES and WGS in the diagnosis of patients with Mendelian disorders

DeepNeuropePred: A robust and universal tool to predict cleavage sites from neuropeptide precursors by protein language model

ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations


The Web framework for perfectionists with deadlines.

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

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond

Towards Automatically Generating Release Notes using Extractive Summarization Technique

Software Engineering and Knowledge Engineering

AutoCodeRover: Autonomous Program Improvement

MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

BEERE: a web server for biomedical entity expansion, ranking and explorations

Simmate: a framework for materials science

Tweaking Association Rules to Optimize Software Change Recommendations

XXXI BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2017)

Exploring Security Commits in Python

SBFT Tool Competition 2024 -- Python Test Case Generation Track


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

4-OGC: Catalog of Gravitational Waves from Compact Binary Mergers


cBioPortal for Cancer Genomics

Integration and Analysis of CPTAC Proteomics Data in the Context of Cancer Genomics in the cBioPortal

Requirements Analysis and Specification for a Molecular Tumor Board Platform Based on cBioPortal

Computational Analysis of Phosphoproteomics Data in Multi‐Omics Cancer Studies

Abstract 5277: The cBioPortal for cancer genomics and its application in precision oncology

Integrated molecular profiling of patient‐derived ovarian cancer models identifies clinically relevant signatures and tumor vulnerabilities


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

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

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


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

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

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


Google core libraries for Java

RefDiff: Detecting Refactorings in Version Histories

JGraphT -- A Java library for graph data structures and algorithms

Learning Quick Fixes from Code Repositories

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

Incremental Consistency Guarantees for Replicated Objects

Darwinian data structure selection

An empirical study on the impact of refactoring activities on evolving client-used APIs

Timed k-Tail: Automatic Inference of Timed Automata

NullAway: Practical Type-Based Null Safety for Java

Early Life Cycle Software Defect Prediction. Why? How?


The MATLAB toolbox for MEG, EEG and iEEG analysis

The Human Connectome Project: A retrospective

A 204-subject multimodal neuroimaging dataset to study language processing

Enhancing reproducibility in developmental EEG research: BIDS, cluster-based permutation tests, and effect sizes

Good scientific practice in EEG and MEG research: Progress and perspectives

Characterization of the Stages of Creative Writing With Mobile EEG Using Generalized Partial Directed Coherence

Caulking the Leakage Effect in MEEG Source Connectivity Analysis

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

A framework for quantifying the coupling between brain connectivity and heartbeat dynamics: Insights into the disrupted network physiology in Parkinson's disease

Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts

Classification of Parkinson’s disease with dementia using phase locking factor of event-related oscillations to visual and auditory stimuli


indy-sdk

Designing a Framework for Digital KYC Processes Built on Blockchain-Based Self-Sovereign Identity

A blockchain empowered and privacy preserving digital contact tracing platform

Towards a Blockchain-based Identity and Trust Management Framework for the IoV Ecosystem

Zenodo (CERN European Organization for Nuclear Research)

Decentralized Cross-Network Identity Management for Blockchain Interoperation

DIIA: Blockchain-Based Decentralized Infrastructure for Internet Accountability

Extending Expressive Access Policies with Privacy Features

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

ExaWind: A multifidelity modeling and simulation environment for wind energy

LFRic: Meeting the challenges of scalability and performance portability in Weather and Climate models

Journal of Parallel and Distributed Computing

Performance Assessment of OpenMP Compilers Targeting NVIDIA V100 GPUs

Evaluation of performance portability frameworks for the implementation of a particle-in-cell code

Performance portability of lattice Boltzmann methods for two-phase flows with phase change

Computer Methods in Applied Mechanics and Engineering

mdspan in C++: A Case Study in the Integration of Performance Portable Features into International Language Standards

PROCEEDINGS OF P3HPC 2019: 2019 IEEE/ACM INTERNATIONAL WORKSHOP ON PERFORMANCE, PORTABILITY AND PRODUCTIVITY IN HPC (P3HPC)

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

Simulating Stellar Merger using HPX/Kokkos on A64FX on Supercomputer Fugaku

Tusas: A fully implicit parallel approach for coupled phase-field equations

High-speed turbulent flows towards the exascale: STREAmS-2 porting and performance


A simple, yet elegant, HTTP library.

RESCRIPt: Reproducible sequence taxonomy reference database management

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

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

PyNose: A Test Smell Detector For Python

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

GIRT-Data: Sampling GitHub Issue Report Templates

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

A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns

CoSearchAgent: A Lightweight Collaborative Search Agent with Large
  Language Models

CC-GPX: Extracting High-Quality Annotated Geospatial Data from Common Crawl


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

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Interactive Widgets for the Jupyter Notebook

mage: Fluid Moves Between Code and Graphical Work in Computational Notebooks

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

Simulation and evaluation of sustainable climate trajectories for aviation

Vizic: A Jupyter-based interactive visualization tool for astronomical catalogs

RaDMaX online: a web-based program for the determination of strain and damage profiles in irradiated crystals using X-ray diffraction

Interactive (statistical) visualisation and exploration of a billion objects with vaex

Proceedings of the International Astronomical Union

ModInterv: An automated online software for modeling epidemics

Integrating GRASS GIS and Jupyter Notebooks to facilitate advanced geospatial modeling education

A Matched Survey for the Enigmatic Low Radio Frequency Transient ILT J225347+862146

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt


[Project ended] rkt is a pod-native container engine for Linux. It is composable, secure, and built on standards.

Internet of Things: An Overview

Performance Evaluation of Microservices Architectures using Containers

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

Kliko - The Scientific Compute Container Format

A Qualitative and Quantitative Analysis of Container Engines


ChakraCore is an open source Javascript engine with a C API.

Speculative Buffer Overflows: Attacks and Defenses

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

JSForce: A Forced Execution Engine for Malicious JavaScript Detection

A fast in-place interpreter for WebAssembly

libmpk: Software Abstraction for Intel Memory Protection Keys

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

SOK: On the Analysis of Web Browser Security

Hidden inheritance: an inline caching design for TypeScript performance

Proceedings of the ACM on Programming Languages


:mag: ScanCode detects licenses, copyrights, dependencies by "scanning code" ... to discover and inventory open source and third-party packages used in your code. Sponsored by NLnet project https://nlnet.nl/project/vulnerabilitydatabase, the Google Summer of Code, Azure credits, nexB and others generous sponsors!

StarCoder 2 and The Stack v2: The Next Generation

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

Sorrel: an IDE Plugin for Managing Licenses and Detecting License Incompatibilities

FQL: An Extensible Feature Query Language and Toolkit on Searching Software Characteristics for HPC Applications

S3LLM: Large-Scale Scientific Software Understanding with LLMs using
  Source, Metadata, and Document


A game theoretic approach to explain the output of any machine learning model.

A Unified Approach to Interpreting Model Predictions

Axiomatic Attribution for Deep Networks

Learning Important Features Through Propagating Activation Differences

SmoothGrad: removing noise by adding noise

Consistent Individualized Feature Attribution for Tree Ensembles

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

Explainable AI Methods - A Brief Overview

Explaining by Removing: A Unified Framework for Model Explanation

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Improving performance of deep learning models with axiomatic attribution priors and expected gradients


kaldi-asr/kaldi is the official location of the Kaldi project.

AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines

SpeechBrain: A General-Purpose Speech Toolkit

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

TED-LIUM 3: Twice as Much Data and Corpus Repartition for Experiments on Speaker Adaptation

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019


flannel is a network fabric for containers, designed for Kubernetes

A Comparative Study of Containers and Virtual Machines in Big Data Environment

About Microservices, Containers and their Underestimated Impact on Network Performance

ClouNS - a Cloud-Native Application Reference Model for Enterprise Architects

A Black-box Monitoring Approach to Measure Microservices Runtime Performance

ACM Transactions on Architecture and Code Optimization (TACO)

Context-Aware Kubernetes Scheduler for Edge-native Applications on 5G

Journal of communications software and systems

CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services

International Green and Sustainable Computing Conference

UMBRELLA: A One-Stop Shop Bridging the Gap From Lab to Real-World IoT Experimentation

A Pragmatical Approach to Anomaly Detection Evaluation in Edge Cloud Systems

TSoR: TCP Socket over RDMA Container Network for Cloud Native Computing

A Portable Load Balancer with ECMP Redundancy for Container Clusters

IEICE Transactions on Information and Systems


Repository for OpenCV's extra modules

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

International Conference on Robotics and Automation

Meta-Interpretive Learning from noisy images

A Vision-Based Odometer for Localization of Omnidirectional Indoor Robots

Resource Management in Edge and Fog Computing using FogBus2 Framework

IMouse: Eyes Gesture Control System

International Journal of Advanced Computer Science and Applications

Smart glasses for blind people

Reflection-Aware Generation and Identification of Square Marker Dictionaries

Depth Image Selection Based on Posture for Calf Body Weight Estimation

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

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


A browser automation framework and ecosystem.

Learning Semantic Program Embeddings with Graph Interval Neural Network

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

Journal of community & applied social psychology

GooAQ: Open Question Answering with Diverse Answer Types

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

Automating Program Transformation for Java Using Semantic Patches

HAL (Le Centre pour la Communication Scientifique Directe)

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

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

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

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

Heterogeneous Value Alignment Evaluation for Large Language Models


An incremental parsing system for programming tools

GraphCodeBERT: Pre-training Code Representations with Data Flow

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

The Stack: 3 TB of permissively licensed source code

SynCoBERT: Syntax-Guided Multi-Modal Contrastive Pre-Training for Code Representation

Code Structure Guided Transformer for Source Code Summarization

CCTEST: Testing and Repairing Code Completion Systems

Multimodal Representation for Neural Code Search

CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

Execution-based Code Generation using Deep Reinforcement Learning

Neural Code Search Revisited: Enhancing Code Snippet Retrieval through Natural Language Intent


Spring Security

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

How well does LLM generate security tests?

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases


An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

WizardLM: Empowering Large Language Models to Follow Complex Instructions

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Multimodal Foundation Models: From Specialists to General-Purpose Assistants


The Go programming language

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

Symposium on Principles of Programming Languages

We don't need another hero?

Fast Random Integer Generation in an Interval

ACM Transactions on Modeling and Computer Simulation

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

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

Trojan Source: Invisible Vulnerabilities

Blade: A Data Center Garbage Collector

A study of real-world data races in Golang

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

Potential of the Julia Programming Language for High Energy Physics Computing

Hero: On the Chaos When PATH Meets Modules


A free and strong UCI chess engine

Chess AI: Competing Paradigms for Machine Intelligence

Emergent World Models and Latent Variable Estimation in Chess-Playing
  Language Models

Neural Networks for Chess


Count your code, quickly.

Validating static warnings via testing code fragments

International Symposium on Software Testing and Analysis

Reinforcement Learning from Automatic Feedback for High-Quality Unit Test Generation

Tooling for time- and space-efficient git repository mining

Proceedings of the 19th International Conference on Mining Software Repositories

FuzzerAid: Grouping Fuzzed Crashes Based On Fault Signatures

Bao-Enclave: Virtualization-based Enclaves for Arm


JavaScript player library / DASH & HLS client / MSE-EME player

Internet-Scale Video Streaming over NDN

Evaluation of the Performance of Adaptive HTTP Streaming Systems

The simulation study on the multipath adaptive video transmission

Adaptive Bitrate Streaming Over Cellular Networks: Rate Adaptation and Data Savings Strategies

Looney Tunes: Exposing the Lack of DRM Protection in Indian Music Streaming Services

Unveiling ChatGPT's Usage in Open Source Projects: A Mining-based Study


Graph Neural Network Library for PyTorch

Inductive Representation Learning on Large Graphs

Translating Embeddings for Modeling Multi-relational Data

Graph Neural Networks: A Review of Methods and Applications

Fast Graph Representation Learning with PyTorch Geometric

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

PointCNN: Convolution On ��-Transformed Points

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties.

Order Matters: Sequence to sequence for sets


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

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

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

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

Impact of differences in acute respiratory distress syndrome randomised controlled trial inclusion and exclusion criteria: systematic review and meta-analysis


EDK II

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

UTTOS: A Tool for Testing UEFI Code in OS Environment

TESTING SOFTWARE AND SYSTEMS, ICTSS 2016

UEFI virtual machine firmware hardening through snapshots and attack surface reduction


Hyperledger Fabric is an enterprise-grade permissioned distributed ledger framework for developing solutions and applications. Its modular and versatile design satisfies a broad range of industry use cases. It offers a unique approach to consensus that enables performance at scale while preserving privacy.

Santa Claus Algorithm: Agent-Based Consensus Preprocessing Method for Scalability Improvement in Private Blockchain Environment

Blockchain Consensus Protocols in the Wild

Trust Evaluation Mechanism for User Recruitment in Mobile Crowd-Sensing in the Internet of Things

Rethinking Permissioned Blockchains

Zenodo (CERN European Organization for Nuclear Research)

Smart Contract Templates: foundations, design landscape and research directions

Blockchain for drug traceability: Architectures and open challenges

Smart Contract Templates: essential requirements and design options

Non-determinism in Byzantine Fault-Tolerant Replication

Why Do My Blockchain Transactions Fail?

Blockchains vs. Distributed Databases: Dichotomy and Fusion


VIC-Res: Representation of water reservoir storage and operations in the Variable Infiltration Capacity (VIC) model

On the representation of water reservoir storage and operations in large-scale hydrological models: implications on model parameterization and climate change impact assessments

Solar energy and regional coordination as a feasible alternative to large hydropower in Southeast Asia


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


Meta-Storms 2 is the standalone implementation of the Microbiome Search Engine (MSE; http://mse.ac.cn).  This is the official software repository of Meta-Storms 2.

Multiple-Disease Detection and Classification across Cohorts via Microbiome Search

Microbiome Search Engine 2: a Platform for Taxonomic and Functional Search of Global Microbiomes on the Whole-Microbiome Level

A Scale-Free, Fully Connected Global Transition Network Underlies Known Microbiome Diversity


Image Splicing Localization using a Multi-task Fully Convolutional Network (MFCN)

Journal of Visual Communication and Image Representation

Scene Classification Based on Multiscale Convolutional Neural Network

PROCEEDINGS OF THE 6TH ACM WORKSHOP ON INFORMATION HIDING AND MULTIMEDIA SECURITY (IH&MMSEC'18)

Image forgery detection using steerable pyramid transform and local binary pattern

Detection and Localization of Image Forgeries using Resampling Features and Deep Learning

Double JPEG compression forensics based on a convolutional neural network


Code of structural entropy minimisation for TAD identification of Hic matrix

Decoding topologically associating domains with ultra-low resolution Hi-C data by graph structural entropy


Draw phylogenetic trees of tumor evolution

Single-cell analysis reveals new evolutionary complexity in uveal melanoma

Uphyloplot2: visualizing phylogenetic trees from single-cell RNA-seq data

Expression of PD-1 mitigates phagocytic activities TAM in osteosarcoma


Mamba-UNet Zoo

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for
  Scribble-based Medical Image Segmentation

A Survey on Visual Mamba

Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual
  Mamba-based UNet for Semi-Supervised Medical Image Segmentation


An open-source platform for light propagation in birefringent media

Ferroelectric nematic liquid crystalline phases

Control of Light by Topological Solitons in Soft Chiral Birefringent Media

Surface Stabilized Topological Solitons in Nematic Liquid Crystals

Physics-based multistep beam propagation in inhomogeneous birefringent media

Ray-based optical visualisation of complex birefringent structures including energy transport

Photoaligned Liquid Crystal Devices with Switchable Hexagonal Diffraction Patterns


Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

A systematic literature review on source code similarity measurement and clone detection: techniques, applications, and challenges

Towards Using Data-Influence Methods to Detect Noisy Samples in Source Code Corpora

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering


Source Code for the ICML Paper "Curriculum Reinforcement Learning via Constrained Optimal Transport"

Outcome-directed Reinforcement Learning by Uncertainty & Temporal Distance-Aware Curriculum Goal Generation

CQM: Curriculum Reinforcement Learning with a Quantized World Model


Fast Matrix Factorization for Online Recommendation with Implicit Feedback

Dynamic Matrix Factorization with Priors on Unknown Values

Fast Matrix Factorization With Nonuniform Weights on Missing Data

LSTM Networks for Online Cross-Network Recommendations


Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

OPERA: Alleviating Hallucination in Multi-Modal Large Language Models via Over-Trust Penalty and Retrospection-Allocation

Mitigating Hallucinations in Large Vision-Language Models with
  Instruction Contrastive Decoding


ANDES has been transferred to the CURENT organization account. Please post questions to https://github.com/curent/andes. Maintenance and development will continue. Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis

Hybrid Symbolic-Numeric Framework for Power System Modeling and Analysis

Tools for modelling and simulating the Smart Grid

Control and limit enforcements for VSC multi-terminal HVDC in newton power flow

Power and Energy Society General Meeting

Hybrid Symbolic-Numeric Library for Power System Modeling and Analysis


Data-driven reduced order modeling for nonlinear dynamical systems

Data-driven modeling and prediction of non-linearizable dynamics via spectral submanifolds

Data-driven nonlinear model reduction to spectral submanifolds in mechanical systems

Nonlinear model reduction to fractional and mixed-mode spectral submanifolds

Dynamics-based machine learning of transitions in Couette flow

Data-Assisted Non-Intrusive Model Reduction for Forced Nonlinear Finite Elements Models

Nonlinear Model Reduction to Temporally Aperiodic Spectral Submanifolds

Data-driven modelling of the regular and chaotic dynamics of an inverted flag from experiments

Data-driven linearization of dynamical systems


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


Unofficial implementation of "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"

Anomaly Detection via Reverse Distillation from One-Class Embedding

Student-Teacher Feature Pyramid Matching for Anomaly Detection

IEEE International Conference on Computer Vision


Nested Graph Neural Networks

Graph Augmentation Learning

State of the Art and Potentialities of Graph-level Learning


STEM: Unleashing the Power of Embeddings for Multi-task Recommendation

On the Embedding Collapse when Scaling up Recommendation Models

Temporal Interest Network for User Response Prediction

Ads Recommendation in a Collapsed and Entangled World


HERitAge by point CLoud procESsing for Matlab

Virtual Disassembling of Historical Edifices: Experiments and Assessments of an Automatic Approach for Classifying Multi-Scalar Point Clouds into Architectural Elements

Automatic Workflow for Roof Extraction and Generation of 3D CityGML Models from Low-Cost UAV Image-Derived Point Clouds

ISPRS International Journal of Geo-Information

AUTOMATIC HERITAGE BUILDING POINT CLOUD SEGMENTATION AND CLASSIFICATION USING GEOMETRICAL RULES

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

AUTOMATIC TRAINING DATA GENERATION IN DEEP LEARNING-AIDED SEMANTIC SEGMENTATION OF HERITAGE BUILDINGS

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II


Codebase for INVASE: Instance-wise Variable Selection - 2019 ICLR

Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations

Bayesian Importance of Features (BIF)

Copula for Instance-wise Feature Selection and Ranking


A federated clustering approach with the corresponding unlearning mechanism (ICLR 2023)

Making AI Forget You: Data Deletion in Machine Learning

Heterogeneity for the Win: One-Shot Federated Clustering

Machine Unlearning of Federated Clusters

Privacy-preserving Continual Federated Clustering via Adaptive Resonance Theory


Classifier based mutual information, conditional mutual information estimation; conditional independence testing

CCMI : Classifier based Conditional Mutual Information Estimation

Diffeomorphic Information Neural Estimation

Inferring functional connectivity through graphical directed information


Beyond Low-frequency Information in Graph Convolutional Networks

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Simple Truncated SVD based Model for Node Classification on Heterophilic Graphs

Simplifying Node Classification on Heterophilous Graphs with Compatible Label Propagation

A Piece-wise Polynomial Filtering Approach for Graph Neural Networks

MarkovGNN: Graph Neural Networks on Markov Diffusion

On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks


This repository contains the code for "Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP".

Using In-Context Learning to Improve Dialogue Safety

ROBBIE: Robust Bias Evaluation of Large Generative Language Models

Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization


Edge YOLO paper

YOLOv3: An Incremental Improvement

YOLOv4: Optimal Speed and Accuracy of Object Detection

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

Scaled-YOLOv4: Scaling Cross Stage Partial Network


Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept


INCREASE: Inductive Graph Representation Learning for Spatio-Temporal Kriging

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy


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?


research the 2019-nCov and design the inhibitors with AI

AI-aided design of novel targeted covalent inhibitors against SARS-CoV-2

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

De novo design and bioactivity prediction of SARS-CoV-2 main protease inhibitors using recurrent neural network-based transfer learning

Artificial Intelligence Against COVID-19: A Meta-analysis of Current Research

Data-Driven Analytics Leveraging Artificial Intelligence in the Era of COVID-19: An Insightful Review of Recent Developments

Artificial intelligence-driven drug repurposing and structural biology for SARS-CoV-2


COLING2016: Table Filling Multi-Task Recurrent Neural Network for Joint Entity and Relation Extraction

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

International Conference on Computational Linguistics

End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models

Let's Stop Incorrect Comparisons in End-to-end Relation Extraction!


This repository provides details of the experimental code in the paper: Instance-based Counterfactual Explanations for Time Series Classification.

Instance-Based Counterfactual Explanations for Time Series Classification

TSInterpret: A unified framework for time series interpretability

Counterfactual Explanations for Multivariate Time-Series without
  Training Datasets


This is the development fork - Stable code has been moved to ==>

Lollipops in the Clinic: Information Dense Mutation Plots for Precision Medicine

Detection of Low Frequency Multi-Drug Resistance and Novel Putative Maribavir Resistance in Immunocompromised Pediatric Patients with Cytomegalovirus

Morphologic and molecular study of lung cancers associated with idiopathic pulmonary fibrosis and other pulmonary fibroses

γ2 GABAAR Trafficking and the Consequences of Human Genetic Variation

The Saccharomyces Genome Database Variant Viewer

Development of a rapid functional assay that predicts GLUT1 disease severity

Human genetic variants disrupt RGS14 nuclear shuttling and regulation of LTP in hippocampal neurons

Profiling lung adenocarcinoma by liquid biopsy: can one size fit all?

Carolina Digital Repository (University of North Carolina at Chapel Hill)

Novel Missense CNTNAP2 Variant Identified in Two Consanguineous Pakistani Families With Developmental Delay, Epilepsy, Intellectual Disability, and Aggressive Behavior


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

Soft Actor-Critic Algorithms and Applications

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

IEEE transactions on neural networks and learning systems

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past


Official implementation of "Open-set Label Noise Can Improve Robustness Against Inherent Label Noise" (NeurIPS 2021)

Learning from Noisy Labels with Deep Neural Networks: A Survey

Combating noisy labels by agreement: A joint training method with co-regularization

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

GearNet: Stepwise Dual Learning for Weakly Supervised Domain Adaptation


PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation


SNP and indel calls from multiple sequence alignment (MSA)

Evaluation of Five Mammalian Models for Human Disease Research Using Genomic and Bioinformatic Approaches

Ultraconserved bacteriophage genome sequence identified in 1300-year-old human palaeofaeces

Dynamics of accessible chromatin regions and subgenome dominance in octoploid strawberry


phenoscanner allows users to query the PhenoScanner database of genotype-phenotype associations from inside R

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Genome-Wide Association Analyses Identify Variants in IRF4 Associated With Acute Myeloid Leukemia and Myelodysplastic Syndrome Susceptibility

Multiple functional variants in the IL1RL1 region are pretransplant markers for risk of GVHD and infection deaths

Identification of potential drug targets for varicose veins: a Mendelian randomization analysis


Code for the AVLnet (Interspeech 2021) and Cascaded Multilingual (Interspeech 2021) papers.

HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos

Cross-Modal Discrete Representation Learning

Cascaded Multilingual Audio-Visual Learning from Videos


Communication-efficient MARL for CACC

Neural Message Passing for Quantum Chemistry

Learning Multiagent Communication with Backpropagation

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents

Communication-Efficient Decentralized Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control


[ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications

Provable Training for Graph Contrastive Learning


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


Dataset citeulike-a for 'Collaborative Topic Regression with Social Regularization' (CTRSR)

SVD-GCN: A Simplified Graph Convolution Paradigm for Recommendation

Scientific paper recommendation systems: a literature review of recent publications

Feature Selection for Recommender Systems with Quantum Computing

Less is More: Reweighting Important Spectral Graph Features for Recommendation

Large Language Model Interaction Simulator for Cold-Start Item
  Recommendation

An Academic Text Recommendation Method Based on Graph Neural Network

Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model

Tag-Aware Document Representation for Research Paper Recommendation


IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control

IEEE Transactions on Intelligent Transportation Systems

Reinforcement learning on graphs: A survey

Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control


The official implementation of ACL 2023 paper "Label-Aware Hyperbolic Embeddings for Fine-grained Emotion Classification."

Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

GoEmotions: A Dataset of Fine-Grained Emotions

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of
  Persuasion Techniques in Memes


Graph Neural Network for Traffic Forecasting: A Survey

Bike Flow Prediction with Multi-Graph Convolutional Networks

Bike sharing usage prediction with deep learning: a survey


a samplers scheduler for stable diffusion webui

Elucidating the Design Space of Diffusion-Based Generative Models

Restart Sampling for Improving Generative Processes

Improved Order Analysis and Design of Exponential Integrator for Diffusion Models Sampling

Sampler Scheduler for Diffusion Models


Span Model for Open Information Extraction on Accurate Corpus

OIE@OIA: an Adaptable and Efficient Open Information Extraction Framework

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

Constrained Tuple Extraction with Interaction-Aware Network

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

Open Information Extraction via Chunks


Tools for analysis of climate model data

Deriving the operational procedure for the Universal Thermal Climate Index (UTCI)

Probing the Fast and Slow Components of Global Warming by Returning Abruptly to Preindustrial Forcing

Transient Climate Response in a Two-Layer Energy-Balance Model. Part I: Analytical Solution and Parameter Calibration Using CMIP5 AOGCM Experiments

Transient Climate Response in a Two-Layer Energy-Balance Model. Part II: Representation of the Efficacy of Deep-Ocean Heat Uptake and Validation for CMIP5 AOGCMs

Quantifying components of aerosol-cloud-radiation interactions in climate models

Journal of Geophysical Research: Atmospheres

Extending CMIP5 projections of global mean temperature change and sea level rise due to thermal expansion using a physically-based emulator


Calculate your carbon footprint easily using a command line interface (10+ metrics, .PDF report).


Logiqa2.0 dataset - logical reasoning in MRC and NLI tasks

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Transforming Question Answering Datasets Into Natural Language Inference Datasets


[TNSRE 2023] Self-supervised Learning for Label-Efficient Sleep Stage Classification: A Comprehensive Evaluation

Representation Learning with Contrastive Predictive Coding

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

Self-Supervised Learning for Label- Efficient Sleep Stage Classification: A Comprehensive Evaluation


Make quick mechanical turk HTML/Javascript interfaces and launch them with Python functions

Giving commands to a self-driving car: How to deal with uncertain situations?

Engineering applications of artificial intelligence

Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows

Predicting Physical World Destinations for Commands Given to Self-Driving Cars


A toolbox for the construction and assessment of subgrid-scale models for large-eddy simulations

Using singular values to build a subgrid-scale model for large eddy simulations

Physical consistency of subgrid-scale models for large-eddy simulation of incompressible turbulent flows

Building proper invariants for eddy-viscosity subgrid-scale models

A nonlinear subgrid-scale model for large-eddy simulations of rotating turbulent flows


Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

Efficient Multi-agent Reinforcement Learning by Planning


Codes to process and train LIMUC dataset

Class Distance Weighted Cross-Entropy Loss for Ulcerative Colitis Severity Estimation

Improving the Computer-Aided Estimation of Ulcerative Colitis Severity According to Mayo Endoscopic Score by Using Regression-Based Deep Learning

Labeled Images for Ulcerative Colitis (LIMUC) Dataset

Zenodo (CERN European Organization for Nuclear Research)


3-D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising

A Trainable Spectral-Spatial Sparse Coding Model for Hyperspectral Image Restoration

Spatial-Spectral Transformer for Hyperspectral Image Denoising

Spectral Enhanced Rectangle Transformer for Hyperspectral Image Denoising

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved
  Diffusion Models


Source code for the Self-Paced Deep Reinforcement Learning Experiments

Self-Paced Deep Reinforcement Learning

TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL

A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement Learning


Deep Music Analogy Via Latent Representation Disentanglement

Learning Interpretable Representation for Controllable Polyphonic Music Generation

PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Audio-to-symbolic Arrangement via Cross-modal Music Representation Learning


Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"

Synthetic CT Skull Generation for Transcranial MR Imaging-Guided Focused Ultrasound Interventions with Conditional Adversarial Networks

Evaluation of synthetically generated computed tomography for use in transcranial focused ultrasound procedures

Journal of medical imaging (Bellingham, Wash.)

Evaluation of Synthetically Generated CT for use in Transcranial Focused Ultrasound Procedures


Computing with Eigenvalue Distributions of Large Random Matrices of the Covariance Type

Efficient Computation of Limit Spectra of Sample Covariance Matrices

Random Matrices: Theory and Applications

How to Reduce Dimension With PCA and Random Projections?

PCA from noisy, linearly reduced data: the diagonal case


Sponge Examples: Energy-Latency Attacks on Neural Networks

Energy-Latency Attacks via Sponge Poisoning

Minimizing Energy Consumption of Deep Learning Models by Energy-Aware Training


A large dataset of 4.2m Java source code and parallel data of their description from code search, and code summarization studies.

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

A Transformer-based Approach for Source Code Summarization

Unsupervised Translation of Programming Languages

Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit


Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation

Malware Detection by Eating a Whole EXE

Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations

Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection


[ICIP 2023 (oral)] Team DETR: Guide Queries as a Professional Team in Detection Transformers

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising


Cyclic-permutation invariant networks for classifying periodic time-series

Classification of periodic variable stars with novel cyclic-permutation invariant neural networks

Monthly notices of the Royal Astronomical Society


Code to compute and test structural decoupling index (Preti & Van De Ville 2019)

Decoupling of brain function from structure reveals regional behavioral specialization in humans

A synergistic core for human brain evolution and cognition

Age-Related Trajectories of Brain Structure–Function Coupling in Female Roller Derby Athletes


Fisher forecasting code for Large Scale Structure surveys using Lagrangian Perturbation Theory.

Cosmology at high redshift -- a probe of fundamental physics

Snowmass2021 Cosmic Frontier White Paper: Cosmology and Fundamental Physics from the three-dimensional Large Scale Structure

Optical depth to reionization from perturbative 21 cm clustering

Journal of Cosmology and Astroparticle Physics

Unveiling Dark Forces with Measurements of the Large Scale Structure of the Universe

Improved modeling of the kinematic Sunyaev-Zel’dovich projected-fields signal and its cosmological dependence

Cosmology before noon with multiple galaxy populations


Apply a clustering tool based on self-organizing-map to identify open clusters

3D Morphology of Open Clusters in the Solar Neighborhood with Gaia EDR 3. II. Hierarchical Star Formation Revealed by Spatial and Kinematic Substructures

Disruption of Hierarchical Clustering in the Vela OB2 Complex and the Cluster Pair Collinder 135 and UBC 7 with Gaia EDR3: Evidence of Supernova Quenching

Cluster aggregates surrounding Pismis 5 in the Vela molecular ridge

On the Roles of Stellar Rotation and Binarity in NGC 2423's Main-sequence Turnoff Region

Dynamical Origin for the Collinder 132–Gulliver 21 Stream: A Mixture of Three Comoving Populations with an Age Difference of 250 Myr


ACL'2022: Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

Learning How to Ask: Querying LMs with Mixtures of Soft Prompts

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction


(MICCAI 2021) Automatic Polyp Segmentation via Multi-scale Subtraction Network

Suppress and Balance: A Simple Gated Network for Salient Object Detection

M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation


Creative Commons Attribution 4.0 International

Notebooks to calculate tree diversity indices (Shannon and Simpson) for planners, foresters, and ecologists!


Code release for ICLR 2024 paper: Exploring Diffusion Time-steps for Unsupervised Representation Learning

Unsupervised Representation Learning from Pre-trained Diffusion Probabilistic Models


[ICML 2022] Code and data for our paper "IGLUE: A Benchmark for Transfer Learning across Modalities, Tasks, and Languages"

mCLIP: Multilingual CLIP via Cross-lingual Transfer

Translation-Enhanced Multilingual Text-to-Image Generation


Component-based Attention for Large-scale Trademark Retrieval

IEEE Transactions on Information Forensics and Security

A Large-scale Dataset and Benchmark for Similar Trademark Retrieval


BioTorch is a PyTorch framework specializing in biologically plausible learning algorithms

Direct Feedback Alignment Provides Learning in Deep Neural Networks

How Important Is Weight Symmetry in Backpropagation?

Random feedback weights support learning in deep neural networks

Biologically-plausible learning algorithms can scale to large datasets

Benchmarking the Accuracy and Robustness of Feedback Alignment Algorithms

Deep Learning without Weight Symmetry


Axiomatic Attribution for Deep Networks

Sparse Feature Circuits: Discovering and Editing Interpretable Causal
  Graphs in Language Models

Attribution Patching Outperforms Automated Circuit Discovery

Have Faith in Faithfulness: Going Beyond Circuit Overlap When Finding
  Model Mechanisms


A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

BYOL works even without batch statistics


This repository holds the code for my master thesis entitles "The Association of Gender Bias with BERT - Measuring, Mitigating and Cross-lingual portability"

Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Bias.

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies


OpenGAN: Open Set Generative Adversarial Networks

Combining Deep Metric Learning Approaches for Aerial Scene Classification


A Fast Parallel Algorithm for HDBSCAN* Clustering

Hierarchical Density Estimates for Data Clustering, Visualization, and Outlier Detection

ACM Transactions on Knowledge Discovery from Data

Fast Parallel Algorithms for Euclidean Minimum Spanning Tree and Hierarchical Spatial Clustering

A single-tree algorithm to compute the Euclidean minimum spanning tree on GPUs


When LLMs Meet Cybersecurity: A Systematic Literature Review

CTIBench: A Benchmark for Evaluating LLMs in Cyber Threat Intelligence

SECURE: Benchmarking Large Language Models for Cybersecurity Advisory


A Python3-base pipeline for translated circular RNA(circRNA) identification

Circular RNAs in human cancer

circRNAs Signature as Potential Diagnostic and Prognostic Biomarker for Diabetes Mellitus and Related Cardiovascular Complications

CircCode: A Powerful Tool for Identifying circRNA Coding Ability

Disease-Associated Circular RNAs: From Biology to Computational Identification

Pervasive translation of small open reading frames in plant long non-coding RNAs

Advances in peptides encoded by non-coding RNAs: A cargo in exosome


Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... please get in touch if interested!!

A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization

Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy

AdaDGS: An adaptive black-box optimization method with a nonlocal directional Gaussian smoothing gradient


The official GitHub page for ''Evaluating Object Hallucination in Large Vision-Language Models''

Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning

Don't Miss the Forest for the Trees: Attentional Vision Calibration for
  Large Vision Language Models


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

Recipes for building an open-domain chatbot

Retrieve and Refine: Improved Sequence Generation Models For Dialogue


End-to-End learning framework for circular RNA classification from other long non-coding RNA using multimodal deep learning

circDeep: deep learning approach for circular RNA classification from other long non-coding RNA

Pretraining model for biological sequence data

Identifying Circular RNA and Predicting Its Regulatory Interactions by Machine Learning


[ICCV 2021] Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. A self-supervised learning way for low-light image object detection.

Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

Kindling the Darkness: A Practical Low-light Image Enhancer

PE-YOLO: Pyramid Enhancement Network for Dark Object Detection


Repository for the QDgym code. A framework for Quality Diversity optimization benchmark tasks based OpenAI Gym.

Quality and Diversity Optimization: A Unifying Modular Framework

Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing


[TMLR23] FedDAG: Federated DAG Structure Learning

Masked Gradient-Based Causal Structure Learning

gCastle: A Python Toolbox for Causal Discovery

Towards Federated Bayesian Network Structure Learning with Continuous Optimization

Federated Causal Discovery from Heterogeneous Data


Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

Unsupervised Visual Representation Learning by Context Prediction

Revisiting Self-Supervised Visual Representation Learning


LISA for ICML 2022

Improving Out-of-Distribution Robustness via Selective Augmentation

Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization

Sufficient Invariant Learning for Distribution Shift


Scaleogram plot for Continuous Wavelet Transform made easy

Classifying Be star variability with TESS I: the southern ecliptic

A comparison of three heart rate detection algorithms over ballistocardiogram signals

Biomedical Signal Processing and Control

Short-term variability and mass loss in Be stars - VI. Frequency groups in gamma Cas detected by TESS

Monthly Notices of the Royal Astronomical Society

DMPP-4: Candidate sub-Neptune mass planets orbiting a naked-eye star


inferring sequence-structure motifs using deep learning

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data


Adaptive Nearest Neighbor Machine Translation

Efficient Cluster-Based k-Nearest-Neighbor Machine Translation

INK: Injecting kNN Knowledge in Nearest Neighbor Machine Translation

What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain Adaptation


A Pytroch Implementation of Some Backdoor Attack Algorithms, Including BadNets, SIG, FIBA, FTrojan ...

BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

A new Backdoor Attack in CNNs by training set corruption without label poisoning

FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis


This is a implementation of DRGCN

DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks


SIAN (Structural Identifiability ANalyser) is a software for assessing structural identifiability of ODE models.

SIAN: software for structural identifiability analysis of ODE models

Global Identifiability of Differential Models

Communications on Pure and Applied Mathematics

Web-based Structural Identifiability Analyzer

SIAN: a tool for assessing structural identifiability of parametric ODEs


Graph Neural Networks for Intelligent Transportation Systems: A Survey

IEEE Transactions on Intelligent Transportation Systems

TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning

Graph Lifelong Learning: A Survey


Python Soccer Simulation 2D Base

Improving Dribbling, Passing, and Marking Actions in Soccer Simulation 2D Games Using Machine Learning

CYRUS Soccer Simulation 2D Team Description Paper 2022

Observation Denoising in CYRUS Soccer Simulation 2D Team For RoboCup 2023


A multi-reference network annotation tool to support omics analysis

HMDB 4.0: the human metabolome database for 2018

The MetaCyc database of metabolic pathways and enzymes - a 2019 update

UniFuncNet: a flexible network annotation framework


Command-line driven tool to create dust opacities

Accreting protoplanets: Spectral signatures and magnitude of gas and dust extinction at H alpha

Large gaps and high accretion rates in photoevaporative transition disks with a dead zone

Razor-thin dust layers in protoplanetary disks: Limits on the vertical shear instability

LIDA: The Leiden Ice Database for Astrochemistry

A multiwavelength analysis of the spiral arms in the protoplanetary disk around WaOph 6

The halo around HD 32297: μm-sized cometary dust

Apocenter pile-up and arcs: a narrow dust ring around HD 129590

The impact of dynamic pressure bumps on the observational properties of protoplanetary disks

Streaming instability in a global patch simulation of protoplanetary disks

Accreting luminous low-mass planets escape from migration traps at pressure bumps


Surgical Visual Question Answering. A transformer-based surgical VQA model. Offical Implementation of "Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformers", MICCAI 2022.

VisualBERT: A Simple and Performant Baseline for Vision and Language

ResMLP: Feedforward networks for image classification with data-efficient training

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery


Simulate sequences of earthquake and slow slip driven by long-term geodetic loading on 3D geometrically-complex fault

Modeling slow-slip segmentation in Cascadia subduction zone constrained by tremor locations and gravity anomalies

Journal of Geophysical Research: Solid Earth

3D modeling of long-term slow slip events along the flat slab segment in the Guerrero Seismic Gap, Mexico

Community-Driven Code Comparisons for Three-Dimensional Dynamic Modeling of Sequences of Earthquakes and Aseismic Slip (SEAS)


Personalized PageRank Estimation and Search: A Bidirectional Approach

FREDE: Anytime Graph Embeddings

Fast Randomized PCA for Sparse Data


Simple scripts for concatenate alignments and rename terminals for phylogenetics

Support for a clade of Placozoa and Cnidaria in genes with minimal compositional bias

In-depth phylogenomic analysis of arbuscular mycorrhizal fungi based on a comprehensive set of de novo genome assemblies

The terrestrial isopod symbiont ‘Candidatus Hepatincola porcellionum’ is a potential nutrient scavenger related to Holosporales symbionts of protists

Placozoans are eumetazoans related to Cnidaria

Ecophysiology of the cosmopolitan OM252 bacterioplankton (Gammaproteobacteria)

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla


Spectroscopy Made Easy

The GALAH Survey: non-LTE departure coefficients for large spectroscopic surveys

Measuring precise radial velocities on individual spectral lines

Atomic diffusion and mixing in old stars VII. Abundances of Mg, Ti, and Fe in M30

Convective characteristics of Fe I lines across the solar disc

Probing atmospheric escape through metastable He I triplet lines in 15 exoplanets observed with SPIRou


This is the official implementation of Multi-Agent PPO.

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Neural Graph Control Barrier Functions Guided Distributed Collision-avoidance Multi-agent Control

Dealing with Non-Stationarity in MARL via Trust-Region Decomposition

Safe Multi-agent Reinforcement Learning with Natural Language
  Constraints


This repository contains data pre-processing and visualization scripts used in GENEA Challenge 2022 and 2023. Check the repository's README.md file for instructions on how to use scripts yourself.

The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation

Proceedings of the 2022 International Conference on Multimodal Interaction

The GENEA Challenge 2023: A large-scale evaluation of gesture generation models in monadic and dyadic settings

Evaluating gesture generation in a large-scale open challenge: The GENEA Challenge 2022


This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how the datasets can be loaded.

Polyconvex anisotropic hyperelasticity with neural networks

Anisotropic hyperelastic constitutive models for finite deformations combining material theory and data-driven approaches with application to cubic lattice metamaterials

Material modeling for parametric, anisotropic finite strain hyperelasticity based on machine learning with application in optimization of metamaterials

International Journal for Numerical Methods in Engineering

Finite electro-elasticity with physics-augmented neural networks

Computer Methods in Applied Mechanics and Engineering

Numerical homogenization of second gradient, linear elastic constitutive models for cubic 3D beam-lattice metamaterials

International Journal of Solids and Structures

Nonlinear isogeometric multiscale simulation for design and fabrication of functionally graded knitted textiles

Advanced discretization techniques for hyperelastic physics-augmented neural networks

Parametrised polyconvex hyperelasticity with physics-augmented neural networks

Nonlinear electro-elastic finite element analysis with neural network constitutive models


Sign Language Segmentation with Temporal Convolutional Networks (ICASSP'21) and Sign Segmentation with Changepoint-Modulated Pseudo-Labelling (CVPRW'21)

Sign language segmentation with temporal convolutional networks

A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages


A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

MoleculeNet: A Benchmark for Molecular Machine Learning

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

One for All: Towards Training One Graph Model for All Classification Tasks

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural
  Language


[MICCAI'21 & TMI'23] RibSeg Dataset and Point Cloud Baselines for Rib Segmentation from CT Scans

RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT Scans

Zenodo (CERN European Organization for Nuclear Research)

RibSeg v2: A Large-scale Benchmark for Rib Labeling and Anatomical Centerline Extraction

Skeleton Graph-based Ultrasound-CT Non-rigid Registration

Thoracic Cartilage Ultrasound-CT Registration Using Dense Skeleton Graph

Class-Aware Cartilage Segmentation for Autonomous US-CT Registration in Robotic Intercostal Ultrasound Imaging


Zhu et al., So2Sat LCZ42: A Benchmark Dataset for Global Local Climate Zones Classification, IEEE Geoscience and Remote Sensing Magazine, in press, 2020.

Current Trends in Deep Learning for Earth Observation: An Open-source Benchmark Arena for Image Classification

TorchGeo: Deep Learning With Geospatial Data

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


Generate videos that interpolate between two given images

DiffMorpher: Unleashing the Capability of Diffusion Models for Image Morphing

Interpolating between Images with Diffusion Models

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models


Create and processing emissions for numeric air quality models

Emissions Database for Global Atmospheric Research


[CVPR 2024] EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Network Analysis: An Integrative Approach to the Structure of Psychopathology

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

A survey of best practices for RNA-seq data analysis

Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation

LUMPY: a probabilistic framework for structural variant discovery

Visualizing the effects of predictor variables in black box supervised learning models


Data Consistency Toolbox for Magnetic Resonance Imaging

U-Net: Convolutional Networks for Biomedical Image Segmentation

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Recurrent inference machines for reconstructing heterogeneous MRI data

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction

A unified model for reconstruction and R2* mapping of accelerated 7T data using the quantitative recurrent inference machine


GluonTS - Probabilistic Time Series Modeling in Python

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series Forecasting

Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

The Rise of Diffusion Models in Time-Series Forecasting


Epidemiological agent-based modelling packages in both python and C++. Published at: https://doi.org/10.5334/jors.449.

Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England

Epidemiological Agent-Based Modelling Software (Epiabm)

EpiGeoPop: A Tool for Developing Spatially Accurate Country-level Epidemiological Models


COCO-Text: Dataset and Benchmark for Text Detection and Recognition in Natural Images

ICDAR2017 Competition on Reading Chinese Text in the Wild (RCTW-17)

End-to-End Interpretation of the French Street Name Signs Dataset

Chinese Text in the Wild


Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing

Rational Recurrences

Recurrently Controlled Recurrent Networks

Refined Gate: A Simple and Effective Gating Mechanism for Recurrent Units


How Powerful are Spectral Graph Neural Networks

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Rethinking Spectral Graph Neural Networks with Spatially Adaptive Filtering


Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Stochastic Iterative Graph Matching

Unsupervised Manifold Alignment with Joint Multidimensional Scaling

Adaptive Softassign via Hadamard-Equipped Sinkhorn


Learning Deep Features for Discriminative Localization

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

Multi-Scale Convolutional Neural Networks for Time Series Classification


A TensorFlow implementation of Graph Wavelet Neural Network

Deep Learning on Graphs: A Survey

ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network


This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning"

Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

International Conference on Multimodal Interfaces

Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data

Transformer Networks for Data Augmentation of Human Physical Activity Recognition


[IJCAI2022] Type-aware Embeddings for Multi-Hop Reasoning over Knowledge Graphs

Embedding Logical Queries on Knowledge Graphs

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Logic Embeddings for Complex Query Answering


[ICML 2022 / ICLR 2024]  Source code for our papers  "Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks" and "Be Careful What You Smooth For".

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

Class Attribute Inference Attacks: Inferring Sensitive Class Information by Diffusion-Based Attribute Manipulations


Tunisian Sentiment Analysis Corpus.

A review of sentiment analysis research in Arabic language

Arabic natural language processing: An overview

Journal of King Saud University: Computer and Information Sciences

Sentiment Analysis of Tunisian Dialects: Linguistic Ressources and Experiments

Proceedings of the Third Arabic Natural Language Processing Workshop

Learning Word Representations for Tunisian Sentiment Analysis

ONE: Toward ONE model, ONE algorithm, ONE corpus dedicated to sentiment analysis of Arabic/Arabizi and its dialects

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

COTA 2.0: an Automatic Corrector of Tunisian Arabic Social Media Texts

Jordanian Journal of Computers and Information Technology


Extract the PAE & pLDDT value of Alphafold2 from .pkl to .png, .csv & .pdb file.

Invasive Californian death caps develop mushrooms unisexually and bisexually

bioRxiv : the preprint server for biology

The two Gtsf paralogs in silkworms orthogonally activate their partner PIWI proteins for target cleavage

Comparative transcriptomic analysis delineates adaptation strategies of Rana kukunoris toward cold stress on the Qinghai-Tibet Plateau


A python wrapper for Henk Spruit's doppler tomography software

New observations of DW Cnc: where is the 38 min signal?

Monthly notices of the Royal Astronomical Society

Evidence of intra-binary shock emission from the redback pulsar PSR J1048+2339

New radial velocity observations of AH Her: evidence for material outside the tidal radius

Monthly Notices of the Royal Astronomical Society

NEW PHOTOMETRY AND SPECTROSCOPY OF DW CANCRI

Revista Mexicana de Astronomía y Astrofísica

Structure of the accretion flow of IX Velorum as revealed by high-resolution spectroscopy


The official repository of the paper: COLD: A Benchmark for Chinese Offensive Language Detection

Enhancing Psychological Counseling with Large Language Model: A Multifaceted Decision-Support System for Non-Professionals


A space-efficient compressor based on the Re-Pair grammar

MR-RePair: Grammar Compression based on Maximal Repeats

RePair in Compressed Space and Time

Compression-Based Methods of Time Series Forecasting


modified aa.bst with clickable url link in the bibliography

Polarimetric investigation of selected cloud compositions in exoplanetary atmospheres

The impact of the presence of water ice on the analysis of debris disk observations

Using debris disk observations to infer substellar companions orbiting within or outside a parent planetesimal belt

How much large dust could be present in hot exozodiacal dust systems?


Get E(B-V) values from SFD dust map data

Illuminating Low Surface Brightness Galaxies with the Hyper Suprime-Cam Survey

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

HELP: a catalogue of 170 million objects, selected at 0.36-4.5 μm, from 1270 deg 2 of prime extragalactic fields

Think Global, Act Local: The Influence of Environment Age and Host Mass on Type Ia Supernova Light Curves

Cosmological measurements from angular power spectra analysis of BOSS DR12 tomography

Serendipitous discoveries of kilonovae in the LSST main survey: maximizing detections of sub-threshold gravitational wave events

Stellar substructures in the periphery of the Magellanic Clouds with the VISTA hemisphere survey from the red clump and other tracers

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

Random Forests as a Viable Method to Select and Discover High-redshift Quasars

A Chemo-dynamical Link between the Gjöll Stream and NGC 3201


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

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


Python implementation of Geometric Dataset Distances via Optimal Transport

Robust Optimal Transport with Applications in Generative Modeling and Domain Adaptation

Benchmarking Self-Supervised Contrastive Learning Methods for Image-Based Plant Phenotyping


[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Learning the Unlearnable: Adversarial Augmentations Suppress Unlearnable Example Attacks

The Devil's Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models


Religious Hate Speech Detection for Arabic Tweets

A Deep Learning Approach for Automatic Hate Speech Detection in the Saudi Twittersphere

Hate Speech Detection in Saudi Twittersphere: A Deep Learning Approach

Workshop on Arabic Natural Language Processing

Toxic language detection: A systematic review of Arabic datasets