The codebase of the OpenMS project

Feature-based Molecular Networking in the GNPS Analysis Environment

Ten Simple Rules for Taking Advantage of Git and GitHub

Fast and Efficient XML Data Access for Next-Generation Mass Spectrometry

DIAMetAlyzer allows automated false-discovery rate-controlled analysis for data-independent acquisition in metabolomics

MSLibrarian: Optimized Predicted Spectral Libraries for Data-Independent Acquisition Proteomics

DIA-NN: Neural networks and interference correction enable deep coverage in high-throughput proteomics

OpenMS 3 enables reproducible analysis of large-scale mass spectrometry data


Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL

Performance Testing on Vector vs. Raster Map Tiles—Comparative Study on Load Metrics

ISPRS International Journal of Geo-Information

Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina’s Life Quality Index

Choriented Maps: Visualizing SDG Data on Mobile Devices

NetworkNarratives: Data Tours for Visual Network Exploration and Analysis

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

How WebGL vector maps work


A toolkit for making real world machine learning and data analysis applications in C++

What makes fake images detectable? Understanding properties that generalize

On the Reconstruction of Face Images from Deep Face Templates

A Comprehensive Performance Evaluation of Deformable Face Tracking "In-the-Wild"

International journal of computer vision

Deep learning in electron microscopy

Machine Learning: Science and Technology

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

Deep Learning Based Computer Generated Face Identification Using Convolutional Neural Network

Self-supervised learning for audio-visual speaker diarization

Near Perfect GAN Inversion

Small, sparse, but substantial: techniques for segmenting small agricultural fields using sparse ground data

GAIA: Zero-shot Talking Avatar Generation


The Ethereum Improvement Proposal repository

A Survey on the Security of Blockchain Systems

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

Decentralization in Bitcoin and Ethereum Networks

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Optimized Execution of Business Processes on Blockchain

Blockchain for Cities—A Systematic Literature Review

Identity Management Systems for the Internet of Things: A Survey Towards Blockchain Solutions

Performance Evaluation of the Quorum Blockchain Platform

The ICO Phenomenon and Its Relationships with Ethereum Smart Contract Environment

Defining Smart Contract Defects on Ethereum


Fork of E3SM used to develop exascale global atmosphere model written in C++

An Assessment of Nonhydrostatic and Hydrostatic Dynamical Cores at Seasonal Time Scales in the Energy Exascale Earth System Model (E3SM)

Journal of Advances in Modeling Earth Systems


JavaScript library for mobile-friendly interactive maps

TriatoKey: a web and mobile tool for biodiversity identification of Brazilian triatomine species

Database : the journal of biological databases and curation

Machine learning for automatic detection of historic stone walls using LiDAR data

The Temporality of Disaster: Data, the Emergency, and Climate Change

FitsMap: A simple, lightweight tool for displaying interactive astronomical image and catalog data

Impact of geolocation data on augmented reality usability: A comparative user test

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

CoronaViz: Visualizing Multilayer Spatiotemporal COVID-19 Data with Animated Geocircles


A permissioned implementation of Ethereum supporting data privacy

Untangling Blockchain: A Data Processing View of Blockchain Systems

Blockchain Consensus Protocols in the Wild

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

HotStuff: BFT Consensus in the Lens of Blockchain

Privacy-Preserving Transactive Energy Management for IoT-Aided Smart Homes via Blockchain

Blockchain-based Supply Chain Traceability: Token Recipes model Manufacturing Processes

The Attack of the Clones Against Proof-of-Authority

Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (industry track)


Swarm Classic: a container clustering system. Not to be confused with Docker Swarm which is at https://github.com/docker/swarmkit

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

λ-NIC: Interactive Serverless Compute on Programmable SmartNICs

On Byzantine fault tolerance in multi-master Kubernetes clusters

Performance Evaluation of Container Orchestration Tools in Edge Computing Environments

Intelligent Task Dispatching and Scheduling Using a Deep Q-Network in a Cluster Edge Computing System

A Blockchain-Based Decentralized Self-balancing Architecture for the Web of Things

Symposium on Advances in Databases and Information Systems

i2kit: A Tool for Immutable Infrastructure Deployments based on Lightweight Virtual Machines specialized to run Containers

A Blockchain Protocol for Real-Time Application Migration on the Edge


AMReX: Software Framework for Block Structured AMR

Simulating mixed fuzzy and cold dark matter

MAESTROeX: A Massively Parallel Low Mach Number Astrophysical Solver

A weighted state redistribution algorithm for embedded boundary grids

FerroX : A GPU-accelerated, 3D Phase-Field Simulation Framework for Modeling Ferroelectric Devices

Kinetic and internal energy transfer in forced compressible turbulence

A moving embedded boundary approach for the compressible Navier-Stokes equations in a block-structured adaptive refinement framework

Characterization of Transmission Lines in Microelectronic Circuits Using the ARTEMIS Solver

Neural Networks for Nuclear Reactions in MAESTROeX

Metadata for Sensitivity of He Flames in X-ray Bursts to Nuclear Physics

Zenodo (CERN European Organization for Nuclear Research)


A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

A Survey on Neural Speech Synthesis

Quartznet: Deep Automatic Speech Recognition with 1D Time-Channel Separable Convolutions

NeMo: a toolkit for building AI applications using Neural Modules

BioMegatron: Larger Biomedical Domain Language Model

Correction of Automatic Speech Recognition with Transformer Sequence-to-sequence Model

TitaNet: Neural Model for Speaker Representation with 1D Depth-Wise Separable Convolutions and Global Context

Hi-Fi Multi-Speaker English TTS Dataset

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

GatorTron: A Large Clinical Language Model to Unlock Patient Information from Unstructured Electronic Health Records

Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition


Creative Commons Attribution 4.0 International

Open source documentation of Microsoft Azure

SCARFF: A scalable framework for streaming credit card fraud detection with spark

InternLM2 Technical Report

Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering

Robust Sewer Defect Detection With Text Analysis Based on Deep Learning

QuickFaaS: Providing Portability and Interoperability between FaaS Platforms

How Far Can In-Context Alignment Go? Exploring the State of In-Context
  Alignment


GoogleTest - Google Testing and Mocking Framework

iHixs 2 — Inclusive Higgs cross sections

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric

CRIMSON: An open-source software framework for cardiovascular integrated modelling and simulation

Ginkgo: A Modern Linear Operator Algebra Framework for High Performance Computing

Mull It Over: Mutation Testing Based on LLVM

International Conference on Software Testing, Verification and Validation Workshops

Report of the HPC Correctness Summit, Jan 25--26, 2017, Washington, DC

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods

Efficient Lazy Theta* Path Planning over a Sparse Grid to Explore Large 3D Volumes with a Multirotor UAV

Ginkgo: A high performance numerical linear algebra library

Advances in Xmipp for Cryo–Electron Microscopy: From Xmipp to Scipion


RIOT -  The friendly OS for IoT

Information centric networking in the IoT

Workshop in Information Security Theory and Practice

Survey of Operating Systems for the IoT Environment

Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve Cryptography

Old Wine in New Skins? Revisiting the Software Architecture for IP Network Stacks on Constrained IoT Devices

PHiLIP on the HiL: Automated Multi-Platform OS Testing With External Reference Devices

A Lesson in Scaling 6LoWPAN – Minimal Fragment Forwarding in Lossy Networks

PROCEEDINGS OF THE IEEE LCN: 2019 44TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2019)

Dynamic Clock Reconfiguration for the Constrained IoT and its Application to Energy-efficient Networking

Design Considerations for Low Power Internet Protocols

A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT


Cross-platform .NET sample microservices and container based application that runs on Linux Windows and macOS. Powered by .NET 7, Docker Containers and Azure Kubernetes Services. Supports Visual Studio, VS for Mac and CLI based environments with Docker CLI, dotnet CLI, VS Code or any other code editor. Moved to https://github.com/dotnet/eShop.

Data Management in Microservices: State of the Practice, Challenges, and Research Directions

On the Nature of Issues in Five Open Source Microservices Systems: An Empirical Study

PROCEEDINGS OF EVALUATION AND ASSESSMENT IN SOFTWARE ENGINEERING (EASE 2021)

Detector-based component model abstraction for microservice-based systems

An Empirical Study of Security Practices for Microservices Systems

Identifying Domain-Based Cyclic Dependencies in Microservice APIs Using Source Code Detectors

Avoiding Excessive Data Exposure Through Microservice APIs

Event-Based Customization of Multi-tenant SaaS Using Microservices

Evaluating Microservice Organizational Coupling based on Cross-service Contribution

Benchmarks for End-to-End Microservices Testing

Assessing Architecture Conformance to Coupling-Related Infrastructure-as-Code Best Practices: Metrics and Case Studies


An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

AutoML: A survey of the state-of-the-art

Hyper-Parameter Optimization: A Review of Algorithms and Applications

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

Vulnerability detection with fine-grained interpretations

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

Automated Machine Learning: State-of-The-Art and Open Challenges

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe

Neural Architecture Search: Insights from 1000 Papers

Convcast: An embedded convolutional LSTM based architecture for precipitation nowcasting using satellite data

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural Networks

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis


MinIO is a high-performance, S3 compatible object store, open sourced under GNU AGPLv3 license.

Oobleck: Resilient Distributed Training of Large Models Using Pipeline Templates

Symposium on Operating Systems Principles

Deep Lake: a Lakehouse for Deep Learning

Hyper: Distributed Cloud Processing for Large-Scale Deep Learning Tasks

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

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


Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.

BigDL: A Distributed Deep Learning Framework for Big Data

Deep learning in electron microscopy

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models

Benchmarking Contemporary Deep Learning Hardware and Frameworks:A Survey of Qualitative Metrics

ReLoRA: High-Rank Training Through Low-Rank Updates

Accurate Differentially Private Deep Learning on the Edge

IEEE Transactions on Parallel and Distributed Systems

Designing a Micro-Benchmark Suite to Evaluate gRPC for TensorFlow: Early Experiences

BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster

Two Neural Models for Multilingual Grammatical Error Detection

Linköping electronic conference proceedings


Samples for Hyperledger Fabric

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

International Journal of Advanced Computer Science and Applications

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains

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

Evaluating Blockchain Application Requirements and their Satisfaction in Hyperledger Fabric

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

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


A very fast and expressive template engine.

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

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb

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

SymForce: Symbolic Computation and Code Generation for Robotics

Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim

BioVisReport: A Markdown-based lightweight website builder for reproducible and interactive visualization of results from peer-reviewed publications

Computational and structural biotechnology journal

SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature

Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results


Industrial-strength Natural Language Processing (NLP) in Python

Dice Loss for Data-imbalanced NLP Tasks

Scaling Up Vision-Language Pre-training for Image Captioning

Align and Prompt: Video-and-Language Pre-training with Entity Prompts

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Content Selection in Deep Learning Models of Summarization

Training Classifiers with Natural Language Explanations

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

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


Playwright is a framework for Web Testing and Automation. It allows testing Chromium, Firefox and WebKit with a single API.

ChessGPT: Bridging Policy Learning and Language Modeling

Unlocking the conversion of Web Screenshots into HTML Code with the
  WebSight Dataset

Enhancing Vision-Language Pre-training with Rich Supervisions


Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Asynchronous Methods for Deep Reinforcement Learning

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

Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

A Contextual-Bandit Approach to Personalized News Article Recommendation

Curiosity-driven Exploration by Self-supervised Prediction

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning


Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Collective knowledge: organizing research projects as a database of reusable components and portable workflows with common interfaces

CodeReef: an open platform for portable MLOps, reusable automation actions and reproducible benchmarking

The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps

ZnTrack -- Data as Code


Apache CXF

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

How well does LLM generate security tests?

Multi-Granularity Detector for Vulnerability Fixes

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


The Moby Project - a collaborative project for the container ecosystem to assemble container-based systems

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

Checkpointing and Migration of IoT Edge Functions

PROCEEDINGS OF THE 2ND ACM INTERNATIONAL WORKSHOP ON EDGE SYSTEMS, ANALYTICS AND NETWORKING (EDGESYS '19)

The Ideal Versus the Real

Mitigating Docker Security Issues

Use of Docker for deployment and testing of astronomy software

Agile Network Access Control in the Container Age

IEEE Transactions on Network and Service Management

Revisiting Dockerfiles in Open Source Software Over Time

Programmable System Call Security with eBPF

Hero: On the Chaos When PATH Meets Modules

Kliko - The Scientific Compute Container Format


The Julia Programming Language

Julia: A Fresh Approach to Numerical Computing

Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages

Evaluating performance and portability of high-level programming models: Julia, Python/Numba, and Kokkos on exascale nodes

Quality gatekeepers: investigating the effects of code review bots on pull request activities

Potential of the Julia Programming Language for High Energy Physics Computing

Productivity meets Performance: Julia on A64FX

ComPile: A Large IR Dataset from Production Sources

The Influence of Air Pollution on the Development of Allergic Inflammation in the Airways in Krakow’s Atopic and Non-Atopic Residents

Clinical Characteristics and Management of Angioedema Attacks in Polish Adult Patients with Hereditary Angioedema Due to C1-Inhibitor Deficiency

Backports: Change Types, Challenges and Strategies

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


Data manipulation and transformation for audio signal processing, powered by PyTorch

SpeechBrain: A General-Purpose Speech Toolkit

fairseq S2T: Fast Speech-to-Text Modeling with fairseq

Asteroid: the PyTorch-based audio source separation toolkit for researchers

TorchAudio: Building Blocks for Audio and Speech Processing

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Reducing Barriers to Self-Supervised Learning: HuBERT Pre-training with Academic Compute

B2T Connection: Serving Stability and Performance in Deep Transformers

TorchAudio 2.1: Advancing Speech Recognition, Self-Supervised Learning, and Audio Processing Components for Pytorch

Improving Low Resource Speech Translation with Data Augmentation and Ensemble Strategies

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


Language, engine, and tooling for expressing, testing, and evaluating composable language rules on input strings.

Dark Web Marketplaces and COVID-19: before the vaccine

MTab: Matching Tabular Data to Knowledge Graph using Probability Models

DisBot: A Portuguese Disaster Support Dynamic Knowledge Chatbot

Upon Improving the Performance of Localized Healthcare Virtual Assistants

TabEAno: Table to Knowledge Graph Entity Annotation

Jaco: An Offline Running Privacy-aware Voice Assistant

Flowstorm: Open-Source Platform with Hybrid Dialogue Architecture

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


FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

The Llama 3 Herd of Models

Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Scaling Up Online Speech Recognition Using ConvNets

RecShard: Statistical Feature-Based Memory Optimization for Industry-Scale Neural Recommendation

FastFormers: Highly Efficient Transformer Models for Natural Language Understanding

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks

FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference

BiQGEMM: Matrix Multiplication with Lookup Table for Binary-Coding-Based Quantized DNNs

AutoShard: Automated Embedding Table Sharding for Recommender Systems


very currency

Retrofitting a two-way peg between blockchains

Analysis on Blockchain Consensus Mechanism Based on Proof of Work and Proof of Stake

Looking for related discussions on GitHub Discussions

Estimating Patch Propagation Times across (Blockchain) Forks


Scala 2 compiler and standard library. Scala 2 bugs at https://github.com/scala/bug; Scala 3 at https://github.com/scala/scala3

We don't need another hero?

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

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

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

Eliminating abstraction overhead of Java stream pipelines using ahead-of-time program optimization

Proceedings of the ACM on Programming Languages


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

SciPy 1.0: fundamental algorithms for scientific computing in Python

A novel approach for estimating Truck Factors

International Conference on Program Comprehension

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

Detecting and Characterizing Bots that Commit Code

Zenodo (CERN European Organization for Nuclear Research)

On the Impact of Programming Languages on Code Quality

ACM Transactions on Programming Languages and Systems

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

Are Game Engines Software Frameworks? A Three-perspective Study

A Study of Bug Resolution Characteristics in Popular Programming Languages

Measuring The Impact Of Programming Language Distribution

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


[NeurIPS 2024 Spotlight] Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them


Perl script for manipulating multiple sequence alignments for phylogenetic reconstruction

The genome sequence of Aloe vera reveals adaptive evolution of drought tolerance mechanisms

Genome sequencing of turmeric provides evolutionary insights into its medicinal properties

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity

Genome ofPhyllanthus emblica: the medicinal plant Amla with super antioxidant properties

Muntjac chromosome evolution and architecture

Genome sequencing of Syzygium cumini (Jamun) reveals adaptive evolution in secondary metabolism pathways associated with its medicinal properties

High-quality genome assemblies provide clues on the evolutionary advantage of blue peafowl over green peafowl


Benchmarking treewidth as a practical component of tensor network simulations

Positive-Instance Driven Dynamic Programming for Graph Searching

A Machine Learning Approach to Algorithm Selection for Exact Computation of Treewidth


ORF prediction of de novo transcriptome assemblies

Separating homeologs by phasing in the tetraploid wheat transcriptome

Brain transcriptomics of agonistic behaviour in the weakly electric fish Gymnotus omarorum, a wild teleost model of non-breeding aggression


A series of BERT and Albert model checkpoints trained to reduce gendered correlations in pre-training

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

Benchmarking Intersectional Biases in NLP

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

Co^2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning


General optimization technique for high-quality community detection in complex networks

Physical review. E, Statistical, nonlinear, and soft matter physics

Intra graph clustering using collaborative similarity measure

GMAC: A Seed-Insensitive Approach to Local Community Detection

COMPLEX NETWORKS - ComSim: A Bipartite Community Detection Algorithm Using Cycle and Node’s Similarity

Graph sketching-based Space-efficient Data Clustering

Self-Taught Spectral Clustering via Constraint Augmentation

SIAM International Conference on Data Mining

A community detection algorithm using network topologies and rule-based hierarchical arc-merging strategies

Community Detection in Multi-Partite Multi-Relational Networks Based on Information Compression


| Real Time Head Pose Estimation: Accurate head pose estimation using ResNet 18/34/50 and MobileNet V2/V3 models. Evaluate yaw, pitch, and roll with pre-trained weights for quick integration.

Deep Residual Learning for Image Recognition

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Searching for MobileNetV3

Fine-Grained Head Pose Estimation Without Keypoints

6D Rotation Representation For Unconstrained Head Pose Estimation

Sample and Computation Redistribution for Efficient Face Detection

Towards Robust and Unconstrained Full Range of Rotation Head Pose Estimation


Learning Transferable Visual Models From Natural Language Supervision

DINOv2: Learning Robust Visual Features without Supervision

Learning Vision from Models Rivals Learning Vision from Data


Ruby implementation of Boldyreva's order-preserving encryption scheme

Preserving the Location Privacy of Secondary Users in Cooperative Spectrum Sensing

IEEE Transactions on Information Forensics and Security

LPOS: Location Privacy for Optimal Sensing in Cognitive Radio Networks

An efficient technique for protecting location privacy of cooperative spectrum sensing users

Conference on Computer Communications Workshops


Unify and Simplify Discrete-time and Continuous-time Discrete Denoising Diffusion

A Continuous Time Framework for Discrete Denoising Models

Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution

Unified Discrete Diffusion for Categorical Data


Experimental GitHub read-only mirror of ns-3 development repository, will be kept in sync with original Mercurial repository; pull requests not accepted at the moment. http://www.nsnam.org/

Scalability analysis of large-scale LoRaWAN networks in ns-3


Keeping track of what is going on with the latest DiD innovations.

Two-way fixed effects estimators with heterogeneous treatment effects

Synthetic Difference in Differences

Pre-Event Trends in the Panel Event-Study Design

Working paper (Federal Reserve Bank of Philadelphia)

Identification Based on Difference‐in‐Differences Approaches with Multiple Treatments


Code for the paper - ConceptPrune: Concept Editing in Diffusion Models via Skilled Neuron Pruning

A Simple and Effective Pruning Approach for Large Language Models

Ring-A-Bell! How Reliable are Concept Removal Methods for Diffusion Models?


Official PyTorch implementation of "Learning with Memory-based Virtual Classes for Deep Metric Learning" (ICCV 2021)

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Proxy Synthesis: Learning with Synthetic Classes for Deep Metric Learning


SRDiff: Single image super-resolution with diffusion probabilistic models

HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery


CoT-BERT: Enhancing Unsupervised Sentence Representation through Chain-of-Thought

Simple Techniques for Enhancing Sentence Embeddings in Generative
  Language Models

Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss


Implementation of the segmentation task for ISIC 2017. https://arxiv.org/abs/1703.04819

RECOD Titans at ISIC Challenge 2017

Data, Depth, and Design: Learning Reliable Models for Skin Lesion Analysis

Data, Depth, and Design: Learning Reliable Models for Melanoma Screening

Convolutional Neural Networks for Skull-stripping in Brain MR Imaging using Consensus-based Silver standard Masks


Text databases of last names from various countries

Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports

Compositional Generalization for Natural Language Interfaces to Web APIs

MASK: A flexible framework to facilitate de-identification of clinical texts

Measuring the Effects of Bias in Training Data for Literary Classification


Official code for PixMamba

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

VMamba: Visual State Space Model

VM-UNet: Vision Mamba UNet for Medical Image Segmentation

PixMamba: Leveraging State Space Models in a Dual-Level Architecture for
  Underwater Image Enhancement


PDF Structure and Syntactic Analysis for Metadata Extraction and Tagging - https://code.google.com/p/pdfssa4met/

Machine Learning vs. Rules and Out-of-the-Box vs. Retrained: An Evaluation of Open-Source Bibliographic Reference and Citation Parsers

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

ParsRec: A Novel Meta-Learning Approach to Recommending Bibliographic Reference Parsers

A Hybrid Approach and Unified Framework for Bibliographic Reference Extraction

Structured references from PDF articles: assessing the tools for bibliographic reference extraction and parsing


Domain Aggregation Networks

Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation

Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers

Learning to Transfer with von Neumann Conditional Divergence


UCLANesl - NIST Differential Privacy Challenge (Match 3)

Differentially Private Synthetic Mixed-Type Data Generation For Unsupervised Learning

Synthetic Data: Methods, Use Cases, and Risks

Understanding how Differentially Private Generative Models Spend their Privacy Budget

A Unified View of Differentially Private Deep Generative Modeling

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing,
  Debugging


PyTorch implementation of DiracDeltaNet from paper Synetgy: Algorithm-hardware Co-design for ConvNet Accelerators on Embedded FPGAs

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

Label Refinery: Improving ImageNet Classification through Label Progression

Symposium on Field Programmable Gate Arrays


Official code, datasets and checkpoints for "Timer: Generative Pre-trained Transformers Are Large Time Series Models" (ICML 2024)

Timer: Transformers for Time Series Analysis at Scale

ROSE: Register Assisted General Time Series Forecasting with Decomposed
  Frequency Learning


RARR: Researching and Revising What Language Models Say, Using Language Models

FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Factcheck-GPT: End-to-End Fine-Grained Document-Level Fact-Checking and Correction of LLM Output

OpenFactCheck: A Unified Framework for Factuality Evaluation of LLMs


useful bits of code for programming and analysis in R

Sanitation, hookworm, anemia, stunting, and wasting in primary school children in southern Ethiopia: Baseline results from a study in 30 schools

Neural correlates of self-evaluation in relation to age and pubertal development in early adolescent girls

Collective close calling mediates group cohesion in foraging meerkats via spatially determined differences in call rates

Ellenberg's indicator values support prediction of suitable habitat for pre-diapause larvae of endangered butterfly Euphydryas aurinia

Engagement with narrative characters: the role of social-cognitive abilities and linguistic viewpoint

The missing-VP effect in readers of English as a second language

Laysan albatross exhibit complex behavioral plasticity in the subtropical and subarctic North Pacific Ocean


Caltech UCSD Binary Annotation Model (CUBAM)

Near-Optimally Teaching the Crowd to Classify

OpinionRank: Extracting Ground Truth Labels from Unreliable Expert Opinions with Graph-Based Spectral Ranking

Accurate inference of crowdsourcing properties when using efficient allocation strategies

Efficient crowdsourcing of crowd-generated microtasks


Detect doublets in single-cell RNA-seq data

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

Dynamics of Gene Expression in Single Root Cells of Arabidopsis thaliana

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Single-cell lineage tracing unveils a role for TCF15 in haematopoiesis

Targeted pharmacological therapy restores β-cell function for diabetes remission

Distinct molecular and immune hallmarks of inflammatory arthritis induced by immune checkpoint inhibitors for cancer therapy

Capillarized Liver Sinusoidal Endothelial Cells Undergo Partial Endothelial-Mesenchymal Transition to Actively Deposit Sinusoidal ECM in Liver Fibrosis

Frontiers in cell and developmental biology

Developmental and conditional dynamics of gene expression in single root cells of A. thaliana

A transcriptional cross species map of pancreatic islet cells

Protocol for Single-Nucleus Transcriptomics of Diploid and Tetraploid Cardiomyocytes in Murine Hearts


3D Point Cloud Generative Adversarial Network Based on Tree Structured Graph Convolutions

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Pushing Auto-regressive Models for 3D Shape Generation at Capacity and
  Scalability

Learning Versatile 3D Shape Generation with Improved Auto-regressive Models


Transductive Zero-Shot Learning with Visual Structure Constraint, in NeurIPS 2019

Zero-shot Node Classification with Decomposed Graph Prototype Network

Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning


An easy-to-use for large scale recommendation algorithms.

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Deep Interest Network for Click-Through Rate Prediction

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Progressive Layered Extraction (PLE): A Novel Multi-Task Learning (MTL) Model for Personalized Recommendations

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Learning Tree-based Deep Model for Recommender Systems

Deep Bayesian Multi-Target Learning for Recommender Systems

EasyRec: An easy-to-use, extendable and efficient framework for building industrial recommendation systems


Plot an interactive circular graph to illustrate connections in a network in MATLAB.

Processing Pipeline for Atlas-Based Imaging Data Analysis of Structural and Functional Mouse Brain MRI (AIDAmri)

Predicting Antidepressant Citalopram Treatment Response via Changes in Brain Functional Connectivity After Acute Intravenous Challenge

Functional Connectivity Analysis on Resting-State Electroencephalography Signals Following Chiropractic Spinal Manipulation in Stroke Patients

Development and Testing of SPIDER-NET: An Interactive Tool for Brain Connectogram Visualization, Sub-Network Exploration and Graph Metrics Quantification

Brain Imaging-to-Graph Generation using Adversarial Hierarchical Diffusion Models for MCI Causality Analysis

Geometric Partition Entropy: Coarse-Graining a Continuous State Space


R^2-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding (ECCV 2024)

Ego4D: Around the World in 3,000 Hours of Egocentric Video

TALL: Temporal Activity Localization via Language Query

QVHighlights: Detecting Moments and Highlights in Videos via Natural Language Queries


A fast speech-to-any translation model that supports simultaneous decoding and offers 28× speedup.

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

A Non-autoregressive Generation Framework for End-to-End Simultaneous Speech-to-Any Translation


PyTorch Implementation of InfoGAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Unsupervised Few-Shot Feature Learning via Self-Supervised Training

Techniques for Symbol Grounding with SATNet

k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension

Max-Sliced Mutual Information


Scripts and tutorials on how to assemble individual microbial genomes from metagenomes

The reconstruction of 2,631 draft metagenome-assembled genomes from the global oceans

Bioinformatics strategies for taxonomy independent binning and visualization of sequences in shotgun metagenomics

Computational and structural biotechnology journal

Metagenomic exploration of the marine sponge mycale hentscheli uncovers multiple polyketide-producing bacterial symbionts

Potential Mechanisms for Microbial Energy Acquisition in Oxic Deep-Sea Sediments

Metaviromics of Namib Desert Salt Pans: A Novel Lineage of Haloarchaeal Salterproviruses and a Rich Source of ssDNA Viruses

Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates

基因组蛋白质组与生物信息学报

In situ electrosynthetic bacterial growth using electricity generated by a deep-sea hydrothermal vent

Identification, Recovery, and Refinement of Hitherto Undescribed Population-Level Genomes from the Human Gastrointestinal Tract


PERFECT: Prompt-free and Efficient Few-shot Learning with Language Models

Making Pre-trained Language Models Better Few-shot Learners

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models


Bayesian optimization in high-dimensions via random embedding.

Bayesian Optimization in a Billion Dimensions via Random Embeddings

Decentralized High-Dimensional Bayesian Optimization with Factor Graphs

High Dimensional Bayesian Optimization via Supervised Dimension Reduction

High-Dimensional Simulation Optimization via Brownian Fields and Sparse Grids


DiG: Scalable and Efficient Diffusion Models with Gated Linear Attention

Scalable Diffusion Models with Transformers

Gated Linear Attention Transformers with Hardware-Efficient Training

Scalable Diffusion Models with State Space Backbone


Basic constrained RL agents used in experiments for the "Benchmarking Safe Exploration in Deep Reinforcement Learning" paper.

WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Penalized Proximal Policy Optimization for Safe Reinforcement Learning

Joint Synthesis of Safety Certificate and Safe Control Policy using Constrained Reinforcement Learning

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

Constrained Update Projection Approach to Safe Policy Optimization

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

Learn Zero-Constraint-Violation Policy in Model-Free Constrained Reinforcement Learning

FISAR: Forward Invariant Safe Reinforcement Learning with a Deep Neural Network-Based Optimizer

International Conference on Robotics and Automation


The NOX Controller

Programmable In-Network Security for Context-aware BYOD Policies

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

An SDN-Based Approach to Ward Off LAN Attacks

Journal of Computer Networks and Communications

Q-learning based distributed denial of service detection

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


hping network tool

An Investigation into the Application of Deep Learning in the Detection and Mitigation of DDOS Attack on SDN Controllers

Artificial Immune Systems and Fuzzy Logic to Detect Flooding Attacks in Software-Defined Networks

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

Down the Rabbit Hole: Fostering Active Learning through Guided Exploration of a SCADA Cyber Range

IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency


CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter) is a network traffic Bi-flow generator and analyzer for anomaly detection that has been used in many Cybersecurity datsets such as Android Adware-General Malware dataset (CICAAGM2017), IPS/IDS dataset (CICIDS2017), Android Malware dataset (CICAndMal2017) and Distributed Denial of Service (CICDDoS2019).

Explainable Artificial Intelligence in CyberSecurity: A Survey

Adv-Bot: Realistic adversarial botnet attacks against network intrusion detection systems

Physical Assessment of an SDN-Based Security Framework for DDoS Attack Mitigation: Introducing the SDN-SlowRate-DDoS Dataset

Attack vs Benign Network Intrusion Traffic Classification

Methodology for Collecting a Training Dataset for an Intrusion Detection Model

Труды Института системного программирования РАН

Zero-day DDoS Attack Detection


Evaluating progress in automatic chest X-ray radiology report generation

Progressive Transformer-Based Generation of Radiology Reports

Improving Chest X-Ray Report Generation by Leveraging Warm Starting

DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis

Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives

Radiology-Aware Model-Based Evaluation Metric for Report Generation


Training and Evaluation Code for Neural Volumes

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Sparse Voxel Fields

Neural Volumes: Learning Dynamic Renderable Volumes from Images

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control


Source code and checkpoints for legal pre-trained language models.

Lawformer: A Pre-trained Language Model for Chinese Legal Long Documents

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals


Checking that functions are constant time with Valgrind

Formal verification of a constant-time preserving C compiler

Proceedings of the ACM on Programming Languages

Iodine: Verifying Constant-Time Execution of Hardware

ct-fuzz: Fuzzing for Timing Leaks

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching

Towards Automated Detection of Single-Trace Side-Channel Vulnerabilities in Constant-Time Cryptographic Code

Testing side-channel security of cryptographic implementations against
  future microarchitectures

Solver-Aided Constant-Time Circuit Verification


Quake III Arena GPL Source Release

Referencing Source Code Artifacts: A Separate Concern in Software Citation

Modified Fast Inverse Square Root and Square Root Approximation Algorithms: The Method of Switching Magic Constants

Zipfian environments for Reinforcement Learning

Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers

How to use Software Heritage for archiving and referencing your source code: guidelines and walkthrough

Stateful Rotor for Continuity of Quaternion and Fast Sensor Fusion Algorithm Using 9-Axis Sensors

On the Functional and Extra-Functional Properties of IMU Fusion Algorithms for Body-Worn Smart Sensors


Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

Self-Attentive Sequential Recommendation

Turning Dross Into Gold Loss: is BERT4Rec really better than SASRec?

Proceedings of the 17th ACM Conference on Recommender Systems

Revisiting Neural Retrieval on Accelerators

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining


Overcoming catastrophic forgetting with hard attention to the task

Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting

Continual learning with hypernetworks

Alleviating catastrophic forgetting using context-dependent gating and synaptic stabilization

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

Generalized Variational Continual Learning

Bayesian Structure Adaptation for Continual Learning

Continual Learning Based on OOD Detection and Task Masking

Sequential Domain Adaptation through Elastic Weight Consolidation for Sentiment Analysis

Task Relation-aware Continual User Representation Learning


NIST_FRVT Top 1 Face Recognition, Liveness Detection(Face Anti-Spoof) Android SDK Demo ☑ Face Recognition ☑ Face Liveness Detection ☑ Face Pose Estimation

FaceNet: A Unified Embedding for Face Recognition and Clustering

ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

SphereFace: Deep Hypersphere Embedding for Face Recognition

VGGFace2: A dataset for recognising faces across pose and age

CosFace: Large Margin Cosine Loss for Deep Face Recognition

Deep Learning Face Representation from Predicting 10,000 Classes

Deep Learning Face Representation by Joint Identification-Verification

Additive Margin Softmax for Face Verification

Deep Face Recognition: A Survey

SIBGRAPI Conference on Graphics, Patterns and Images

A Light CNN for Deep Face Representation with Noisy Labels


Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"

Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Omnigrok: Grokking Beyond Algorithmic Data


Various utilities for processing the data.

Edition 1.2 of the PARSEME Shared Task on Semi-supervised Identification of Verbal Multiword Expressions

Resources for Turkish Dependency Parsing: Introducing the BOUN Treebank and the BoAT Annotation Tool

Parsing Universal Dependencies without training

Building minority dependency treebanks, dictionaries and computational grammars at the same time—an experiment in Karelian treebanking

Proceedings of the Third Workshop on Universal Dependencies (UDW, SyntaxFest 2019)

Two languages, one treebank: building a Turkish–German code-switching treebank and its challenges

A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing

Tree Rotations for Dependency Trees: Converting the Head-Directionality of Noun Phrases

Estimating POS Annotation Consistency of Different Treebanks in a Language

Proceedings of the 19th International Workshop on Treebanks and Linguistic Theories

Unifying the Treatment of Preposition-Determiner Contractions in German Universal Dependencies Treebanks

UDWiki: guided creation and exploitation of UD treebanks


This is a React web application designed to demonstrate common use cases of the DW TAP Computational Framework and API.


Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

Studying the Effects of Self-Attention for Medical Image Analysis

Automatic diagnosis of macular diseases from OCT volume based on its two-dimensional feature map and convolutional neural network with attention mechanism

Class Activation Map Generation by Representative Class Selection and Multi-Layer Feature Fusion

Class Activation Map generation by Multiple Level Class Grouping and Orthogonal Constraint


Simple Keras model that tackles the Stanford Natural Language Inference (SNLI) corpus using summation and/or recurrent neural networks

Generating Natural Language Adversarial Examples

Learning Natural Language Inference using Bidirectional LSTM model and Inner-Attention

InferLite: Simple Universal Sentence Representations from Natural Language Inference Data

Empirical Methods in Natural Language Processing


Winning SubNetwork (WSN), Fourier Subneural Operator (FSO), Video-Incremental Learning (VIL), Sequential Neural Implicit Representation (NIR)

NeRV: Neural Representations for Videos

Progressive Fourier Neural Representation for Sequential Video Compilation


To reveal the cellular heterogeneity within flow cytometry data, clustering and pseudotime analysis can be performed. Here, we demonstrate how to import (clustered) data, how to apply clustering and dimensionality reduction, and how to apply pseudotime analysis by Slingshot.

Murine Bone Marrow Erythroid Cells Have Two Branches of Differentiation Defined by the Presence of CD45 and a Different Immune Transcriptome Than Fetal Liver Erythroid Cells

International journal of molecular sciences

Exploring TCR-like CAR-Engineered Lymphocyte Cytotoxicity against MAGE-A4


Recent Deep Learning Methodology Development for RNA–RNA Interaction Prediction

Small RNA Targets: Advances in Prediction Tools and High-Throughput Profiling

Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning


The Oxynet Python package repository

Expert-level classification of ventilatory thresholds from cardiopulmonary exercising test data with recurrent neural networks

Oxynet: A collective intelligence that detects ventilatory thresholds in cardiopulmonary exercise tests

Estimating an individual's oxygen uptake during cycling exercise with a recurrent neural network trained from easy-to-obtain inputs: A pilot study

Machine Learning Models for the Automatic Detection of Exercise Thresholds in Cardiopulmonary Exercising Tests: From Regression to Generation to Explanation


Translating Embeddings for Modeling Multi-relational Data

Learning Entity and Relation Embeddings for Knowledge Graph Completion

Proceedings of the AAAI Conference on Artificial Intelligence

Knowledge Graph Embedding by Translating on Hyperplanes

Knowledge Graph Embedding via Dynamic Mapping Matrix

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING, VOL 1


Inductive Logic Programming via Differentiable Deep Neural Logic Networks

Differentiable Logic Machines

Rule Learning by Modularity


WACV 2022

Semi-supervised Domain Adaptation via Minimax Entropy

Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation

Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation


Source code for NAACL 2022 paper Weakly Supervised Text Classification using Supervision Signals from a Language Mode

Weakly Supervised Text Classification using Supervision Signals from a Language Model

MEGClass: Extremely Weakly Supervised Text Classification via Mutually-Enhancing Text Granularities

XAI-CLASS: Explanation-Enhanced Text Classification with Extremely Weak Supervision


Quick summary statistics on fasta/fastq(.gz) files

A haplotype resolved chromosomal level avocado genome allows analysis of novel avocado genes

Galba: genome annotation with miniprot and AUGUSTUS

bioRxiv : the preprint server for biology

Reference nodule transcriptomes for Melilotus officinalis and Medicago sativa cv. Algonquin


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

Compressed Sensing using Generative Models

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models


RISCV port of the Slackware distribution


A toolkit for summarization analysis and aspect-based summarizers

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

Klexikon: A German Dataset for Joint Summarization and Simplification


UniTE: Unified Translation Evaluation

Extrinsic Evaluation of Machine Translation Metrics

BLEURT Has Universal Translations: An Analysis of Automatic Metrics by Minimum Risk Training

Breeding Machine Translations: Evolutionary approach to survive and thrive in the world of automated evaluation

CUNI at WMT23 General Translation Task: MT and a Genetic Algorithm

Proceedings of the Eighth Conference on Machine Translation


Plot maps of Sri Lanka


Spectral Inference Networks: Unifying Deep and Spectral Learning

NeuralEF: Deconstructing Kernels by Deep Neural Networks


Automated Machine Learning on Graphs: A Survey

AutoGL: A Library for Automated Graph Learning

Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search


code for BINOCULARS and Multi-Step BO

BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design

Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees

Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach


An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Unbiased Teacher for Semi-Supervised Object Detection


Three Dimensional Optimal Spectral Extraction

The MUSE-Wide Survey: survey description and first data release

Recovery and analysis of rest-frame UV emission lines in 2052 galaxies observed with MUSE at $1.5 < z < 6.4$

Three-Dimensional Optimal Spectral Extraction (TDOSE) from integral field spectroscopy


Code for "Learning Deep Features in Instrumental Variable Regression" (https://arxiv.org/abs/2010.07154)

Instrumental Variables in Causal Inference and Machine Learning: A Survey

Learning Causal Models from Conditional Moment Restrictions by Importance Weighting


HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.

Gazelle: A Low Latency Framework for Secure Neural Network Inference

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Preserving privacy in speaker and speech characterisation

A review of homomorphic encryption and software tools for encrypted statistical machine learning

A Review of Privacy-preserving Federated Learning for the Internet-of-Things

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks

IEEE Communications Surveys and Tutorials

Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview

Conditionals in Homomorphic Encryption and Machine Learning Applications

Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption

Achieving Secure and Differentially Private Computations in Multiparty Settings


Source code for figure generation and analysis of the ENGAGE netzero scenario analysis

Cost and attainability of meeting stringent climate targets without overshoot

ENGAGE Global Scenarios

Zenodo (CERN European Organization for Nuclear Research)


A Simple Convolutional Generative Network for Next Item Recommendation

Task Relation-aware Continual User Representation Learning

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System


This repository contains the entire pipline (including data preprocessing, training, testing, evaluation and visualization) for the Shearlet-based Semantic Edge Detection, .

CASENet: Deep Category-Aware Semantic Edge Detection

Semantic Edge Detection with Diverse Deep Supervision

Extraction of digital wavefront sets using applied harmonic analysis and deep neural networks

Shearlets as feature extractor for semantic edge detection: the model-based and data-driven realm

Proceedings. Mathematical, physical, and engineering sciences


A MinION-based pipeline for tracking species biodiversity

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

DNA Barcoding of Nematodes Using the MinION

Hydraena (s.str.) dinarica, new species (Coleoptera: Hydraenidae) along with further records of Hydraena spp. from Durmitor National Park, Montenegro and comments on the DNA barcoding problem with the genus

Tracking the Source of Human Q Fever from a Southern French Village: Sentinel Animals and Environmental Reservoir


Hindi stopwords collection

Complex Network based Supervised Keyword Extractor

Novel Language Resources for Hindi: An Aesthetics Text Corpus and a Comprehensive Stop Lemma List

MUM at ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Using Supervised Learning Approaches


One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks (ICLR 2023 Spotlight)

Image Shortcut Squeezing: Countering Perturbative Availability Poisons with Compression

Corrupting Convolution-based Unlearnable Datasets with Pixel-based Image Transformations


Deep Learning for Symbolic Mathematics

Deep Learning for Symbolic Mathematics

Mathematical Capabilities of ChatGPT

Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics

Generating Symbolic Reasoning Problems with Transformer GANs


The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Reducing Activation Recomputation in Large Transformer Models

The Larger the Better? Improved LLM Code-Generation via Budget
  Reallocation

SelfCP: Compressing over-limit prompt via the frozen large language model itself

Arena: A Patch-of-Interest ViT Inference Acceleration System for
  Edge-Assisted Video Analytics

LeMeViT: Efficient Vision Transformer with Learnable Meta Tokens for Remote Sensing Image Interpretation

Knowledge Distillation from Language-Oriented to Emergent Communication for Multi-Agent Remote Control


Scalable GP Adapter for Time Series Classification

A scalable end-to-end Gaussian process adapter for irregularly sampled time series classification

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.


MILE: A Multi-Level Framework for Scalable Graph Embedding

Understanding Coarsening for Embedding Large-Scale Graphs

A Provable Framework of Learning Graph Embeddings via Summarization

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

SMGRL: Scalable Multi-resolution Graph Representation Learning


Code for paper "Improving Generalizability of Graph Anomaly Detection Models via Data Augmentation" (TKDE 2023)

Out-Of-Distribution Generalization on Graphs: A Survey

Beyond Generalization: A Survey of Out-Of-Distribution Adaptation on
  Graphs


Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning

MARS: Benchmarking the Metaphysical Reasoning Abilities of Language
  Models with a Multi-task Evaluation Dataset


Privacy-Preserving Electronic Ticket Scheme with Attribute-Based Credentials

An Interoperable Architecture for Usable Password-Less Authentication

Technical Report on a Virtual CTAP2 WebAuthn Authenticator


Resilient Model-Based RL by Regularizing Posterior Predictability

RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability

HarmonyDream: Task Harmonization Inside World Models

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL


PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

Meta-Learning for Low-Resource Neural Machine Translation

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

A Stable and Effective Learning Strategy for Trainable Greedy Decoding


Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems


Mitochondria Analyzer

Relationship Between Mitochondrial Structure and Bioenergetics in Pseudoxanthoma elasticum Dermal Fibroblasts

Frontiers in cell and developmental biology

Mitochondrial Role in Intrinsic Apoptosis Induced by a New Synthesized Chalcone in Hepatocellular Carcinoma Cells


Code for EMNLP 2022 main conference paper "Information-Transport-based Policy for Simultaneous Translation"

End-to-End Simultaneous Speech Translation with Differentiable Segmentation

Better Simultaneous Translation with Monotonic Knowledge Distillation

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

Enhanced Simultaneous Machine Translation with Word-level Policies


The official repository for Multi3WOZ: A Multilingual, Multi-Domain, Multi-Parallel Dataset for Training and Evaluating Culturally Adapted Task-Oriented Dialog Systems (TACL 2023)

DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language Models

A Systematic Study of Performance Disparities in Multilingual Task-Oriented Dialogue Systems


Official code for ICML 2022: Open-Sampling: Exploring Out-of-Distribution Data for Re-balancing Long-tailed Datasets

Mitigating Neural Network Overconfidence with Logit Normalization

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

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


Bitcoin Network Probing Tool

Security and privacy of mobile wallet users in Bitcoin, Dash, Monero, and Zcash

Transaction Clustering Using Network Traffic Analysis for Bitcoin and Derived Blockchains

IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (IEEE INFOCOM 2019 WKSHPS)

Towards Better Understanding of Bitcoin Unreachable Peers


Software to help identify overlap between association scan results and GWAS hit catalogs.

Exome sequencing of Finnish isolates enhances rare-variant association power

Generating testable hypotheses for schizophrenia and rheumatoid arthritis pathogenesis by integrating epidemiological, genomic, and protein interaction data

TWAS Atlas: a curated knowledgebase of transcriptome-wide association studies

Open Chromatin Profiling in Adipose Tissue Marks Genomic Regions with Functional Roles in Cardiometabolic Traits

Loci for insulin processing and secretion provide insight into type 2 diabetes risk

Chromatin accessibility and gene expression during adipocyte differentiation identify context-dependent effects at cardiometabolic GWAS loci

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort


Isotonic Distributional Regression (IDR)

Machine learning methods for postprocessing ensemble forecasts of wind gusts: A systematic comparison

Isotonic distributional regression

Journal of the Royal Statistical Society Series B: Statistical Methodology

Distributional (Single) Index Models

Decompositions of the mean continuous ranked probability score


Database of virus RdRP barcode sequences

RdRp-scan: A bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data

Ribovirus classification by a polymerase barcode sequence

NeoRdRp2 with improved seed data, annotations, and scoring


Calculating carbon emissions in R


Artificial Bee Colony algorithm for Python

Binary artificial bee colony optimization

A modified scout bee for artificial bee colony algorithm and its performance on optimization problems

Journal of King Saud University: Computer and Information Sciences

Polygonal Approximation Using an Artificial Bee Colony Algorithm


Implementation of Attentive Multi Task Deep Reinforcement Learning Architecture in Tensorflow

Asynchronous Methods for Deep Reinforcement Learning

Attentive Multi-Task Deep Reinforcement Learning


Leveraging Language Foundation Models for Human Mobility Forecasting

Empowering Time Series Analysis with Large Language Models: A Survey

Large Language Models for Mobility in Transportation Systems: A Survey
  on Forecasting Tasks


Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises


End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework


Attention Is All You Need

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

Longformer: The Long-Document Transformer

Generating Long Sequences with Sparse Transformers

SparseBERT: Rethinking the Importance Analysis in Self-attention


First version of the code - last update Dec 2015

MadDM v.3.0: A comprehensive tool for dark matter studies

SkyFACT: high-dimensional modeling of gamma-ray emission with adaptive templates and penalized likelihoods

Journal of Cosmology and Astroparticle Physics

Features in cosmic-ray lepton data unveil the properties of nearby cosmic accelerators

Implications of current nuclear cross sections on secondary cosmic rays with the upcoming DRAGON2 code

Bayesian analysis of the break in DAMPE lepton spectra

A simple and natural interpretations of the DAMPE cosmic-ray electron/positron spectrum within two sigma deviations

Constraining the halo size from possible density profiles of hydrogen gas of Milky Way Galaxy

Late decaying 2-component dark matter scenario as an explanation of the AMS-02 positron excess

Diffusive origin for the cosmic-ray spectral hardening reveals signatures of a nearby source in the leptons and protons data

Positron excess from cosmic ray interactions in galactic molecular clouds


Sampling-Based Minimum Bayes-Risk Decoding for Neural Machine Translation

Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET

Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine Translation

On the probability-quality paradox in language generation

Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate Sequences


Code associated with paper "High-Dimensional Contextual Policy Search with Unknown Context Rewards using Bayesian Optimization"

Bayesian Optimization with High-Dimensional Outputs

Sparse Bayesian Optimization


10x single cell RNA-seq data from the developing mouse retina

A shared transcriptional code orchestrates temporal patterning of the central nervous system

Universal prediction of cell-cycle position using transfer learning

Diversification of multipotential postmitotic mouse retinal ganglion cell precursors into discrete types

Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers

Temporal patterning of the central nervous system by a shared transcription factor code


STABILIZING GRADIENTS FOR DEEP NEURAL NETWORKS VIA EFFICIENT SVD PARAMETERIZATION

Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization

What if Neural Networks had SVDs?

Interpretable Deep Recurrent Neural Networks via Unfolding Reweighted ℓ_1-ℓ_1 Minimization: Architecture Design and Generalization Analysis


A continually expanding collection of microbiome analysis tools

DADA2: High-resolution sample inference from Illumina amplicon data

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2

A communal catalogue reveals Earth's multiscale microbial diversity

Kraken: ultrafast metagenomic sequence classification using exact alignments

ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Differential abundance analysis for microbial marker-gene surveys

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data


LGEB: Benchmark of Language Generation Evaluation

Know What You Don't Know: Unanswerable Questions for SQuAD

Learning to Ask: Neural Question Generation for Reading Comprehension

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning


Data split we use during the ASVspoof 2019 challenge

Ensemble Models for Spoofing Detection in Automatic Speaker Verification

Subband modeling for spoofing detection in automatic speaker verification

Deep Generative Variational Autoencoding for Replay Spoof Detection in Automatic Speaker Verification


A Novel Multitask Learning Empowered Codebook Design for Downlink SCMA Networks

A Design of Low-Projection SCMA Codebooks for Ultra-Low Decoding Complexity in Downlink IoT Networks

Enhancing Signal Space Diversity for SCMA Over Rayleigh Fading Channels


This repository includes the code to reproduce our paper Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection" (https://arxiv.org/abs/2104.03123) to appear in INTERSPEECH '21

Explaining deep learning models for spoofing and deepfake detection with SHapley Additive exPlanations

Audio Anti-Spoofing Detection: A Survey


GMStool: GWAS-based marker selection tool for genomic prediction from genomic data

Integrated Genomic Selection for Accelerating Breeding Programs of Climate-Smart Cereals

Machine Learning to Advance Human Genome-Wide Association Studies


Arabic edition of ALBERT pretrained language models

AraELECTRA: Pre-Training Text Discriminators for Arabic Language Understanding

AraGPT2: Pre-Trained Transformer for Arabic Language Generation

Arabic fake news detection based on deep contextualized embedding models

Emotion Analysis of Arabic Tweets: Language Models and Available Resources


Stochastic PDHG with Arbitrary Sampling and Imaging Applications

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

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

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


Curated List of papers on Time Series Analysis

Deep learning for time series classification: a review

Transfer Learning for Financial Time Series Forecasting

Pacific Rim International Conference on Artificial Intelligence

Multi-source transfer learning of time series in cyclical manufacturing

Generative Adversarial Networks for Failure Prediction

Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder

Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting

Proceedings of the 7th Annual Neuro-inspired Computational Elements Workshop


MiniCard: An efficient cardinality solver based on MiniSAT

Not all FPRASs are equal: demystifying FPRASs for DNF-counting

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

Encoding Cardinality Constraints using Generalized Selection Networks

Portfolio solver for verifying Binarized Neural Networks

Az Eszterházy Károly Tanárképző Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Az Eszterházy Károly Főiskola tudományos közleményei. Tanulmányok a matematikai tudományok köréből/Annales mathematicae et informaticae

Multidesigns for a Graph Pair of Order 6


Basic implementations of standard cryptography algorithms, like AES and SHA-1.

Keystone: An Open Framework for Architecting TEEs

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

Proceedings of the ACM on Programming Languages

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Performance Evaluation of C/C++, MicroPython, Rust and TinyGo Programming Languages on ESP32 Microcontroller

Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning


Laser Speckle Contrast Imaging Toolbox

Laser speckle contrast imaging in biomedical optics

Quantitative imaging of ischemic stroke through thinned skull in mice with Multi Exposure Speckle Imaging

Tissue perfusion measurements: multiple-exposure laser speckle analysis generates laser Doppler–like spectra

Sensitivity of laser speckle contrast imaging to flow perturbations in the cortex

Quantitative laser speckle flowmetry of the in vivo microcirculation using sidestream dark field microscopy

Directly measuring absolute flow speed by frequency-domain laser speckle imaging

Evaluating multi-exposure speckle imaging estimates of absolute autocorrelation times

Entropy analysis reveals a simple linear relation between laser speckle and blood flow

Real-time monitoring of biomechanical activity in aphids by laser speckle contrast imaging.

A novel highly efficient algorithm for laser speckle imaging


Virus metagenomic pipeline for unknown host or in absence of a host genome

Overview of Virus Metagenomic Classification Methods and Their Biological Applications

Novel Parvoviruses from Wild and Domestic Animals in Brazil Provide New Insights into Parvovirus Distribution and Diversity

Discovery of novel astrovirus and calicivirus identified in ruddy turnstones in Brazil

A Novel Hepacivirus in Wild Rodents from South America

Metaviromics Reveals Unknown Viral Diversity in the Biting Midge Culicoides impunctatus

Gas6 drives Zika virus-induced neurological complications in humans and congenital syndrome in immunocompetent mice

Pingu virus: A new picornavirus in penguins from Antarctica


CoroNet is a Covid-19 detection and diagnosis tool. It scans chest x-rays and clasifies it into normal, pneumonia or covid classes

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

Computer methods and programs in biomedicine

A novel fusion based convolutional neural network approach for classification of COVID-19 from chest X-ray images

Biomedical signal processing and control

A novel deep neural network model based Xception and genetic algorithm for detection of COVID-19 from X-ray images

Deep COVID-19 Recognition Using Chest X-ray Images: A Comparative Analysis

2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI)


Grammarly Corpus of Discourse Coherence and accompanying code for discourse coherence models

Discourse Coherence in the Wild: A Dataset, Evaluation and Methods

Multi-Task Learning for Coherence Modeling

How coherent are neural models of coherence?

International Conference on Computational Linguistics

Countering the Influence of Essay Length in Neural Essay Scoring

Proceedings of the Second Workshop on Simple and Efficient Natural Language Processing

Neural RST-based Evaluation of Discourse Coherence

Incremental Neural Lexical Coherence Modeling


Calculates optimum interplanetary trajectories visitng a specifed sequence of planets or other celestial bodies.

Project Lyra: Catching 1I/‘Oumuamua–Using Nuclear Thermal Rockets

Project Lyra: Catching 1I/'Oumuamua -- Using Laser Sailcraft in 2030

Intermediate Points for Missions to Interstellar Objects Using Optimum Interplanetary Trajectory Software

Project Lyra: The Way to Go and the Launcher to Get There


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

CORL: Research-oriented Deep Offline Reinforcement Learning Library

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

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


Domain Adaptive Robust Faster R-CNN Implementation in Keras/TF

Toward Robustness against Label Noise in Training Deep Discriminative Neural Networks

A Robust Learning Approach to Domain Adaptive Object Detection

Automatic adaptation of object detectors to new domains using self-training

d-SNE: Domain Adaptation using Stochastic Neighborhood Embedding


DARTS: Differentiable Architecture Search

XNAS: Neural Architecture Search with Expert Advice

Geometry-Aware Gradient Algorithms for Neural Architecture Search


A Deep Learning Based Context-Aware Recommendation Library

Multi-Armed Bandit Learning in IoT Networks: Learning helps even in non-stationary settings

DeepCARSKit: A deep learning based context-aware recommendation library

A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations

User Modeling, Adaptation, and Personalization

DeepCARSKit: A Demo and User Guide


Benchmark for federated noisy label learning

mixup: Beyond Empirical Risk Minimization

Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels

Robust Loss Functions under Label Noise for Deep Neural Networks

FedNoisy: Federated Noisy Label Learning Benchmark


TRAM: Benchmarking Temporal Reasoning for Large Language Models (Findings of ACL 2024)

RoBERTa: A Robustly Optimized BERT Pretraining Approach

GPT-4 Technical Report

Llama 2: Open Foundation and Fine-Tuned Chat Models

PaLM 2 Technical Report


Official implementation of the paper "Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance", ICML2022.

A Simple Framework for Contrastive Learning of Visual Representations

Large Batch Training of Convolutional Networks

Mini-Batch Optimization of Contrastive Loss


An easy-to-use library to linguistically compare one sentence and its words to another, in the same language or a different one. For instance useful for comparing a translation with the original text, to find differences and similarities between two different translations, or to see how a machine translation differs from a reference translation.

Word Alignment by Fine-tuning Embeddings on Parallel Corpora

Gutenberg Goes Neural: Comparing Features of Dutch Human Translations with Raw Neural Machine Translation Outputs in a Corpus of English Literary Classics

Metrics of Syntactic Equivalence to Assess Translation Difficulty

Comparing the Effect of Product-Based Metrics on the Translation Process


BSD 4-Clause "Original" or "Old" License

High resolution optical mapping of cardiac electrophysiology in pre-clinical models

A Protocol for Transverse Cardiac Slicing and Optical Mapping in Murine Heart

Examination of the Effects of Conduction Slowing on the Upstroke of Optically Recorded Action Potentials

A dataset of dual calcium and voltage optical mapping in healthy and hypertrophied murine hearts

Temporal irregularity quantification and mapping of optical action potentials using wave morphology similarity

Progress in biophysics and molecular biology


Source code for paper: UniTS: Short-Time Fourier Inspired Neural Networks for Sensory Time Series Classification

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

STFNets: Learning Sensing Signals from the Time-Frequency Perspective with Short-Time Fourier Neural Networks

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

Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals


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

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

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


Word Translation Without Parallel Data

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Hubless Nearest Neighbor Search for Bilingual Lexicon Induction

Meeting of the Association for Computational Linguistics

Improving Bilingual Lexicon Induction for Low Frequency Words

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)


What Matters in Unsupervised Optical Flow

Polygonal Point Set Tracking

Unsupervised Contour Tracking of Live Cells by Mechanical and Cycle Consistency Losses


Paired REad TEXTure Mapper. Converts SAM formatted read pairs into genome contact maps.

A Reference Genome Assembly of American Bison, Bison bison bison

The clove (Syzygium aromaticum) genome provides insights into the eugenol biosynthesis pathway

A chromosome-level reference genome and pangenome for barn swallow population genomics

Reference Genome of the Northwestern Pond Turtle, Actinemys marmorata

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

bioRxiv : the preprint server for biology

A Draft Reference Genome Assembly of the Critically Endangered Black Abalone, Haliotis cracherodii

De novo assembly of a chromosome-level reference genome for the California Scrub-Jay, Aphelocoma californica

A chromosome-level reference genome for the giant pink sea star, Pisaster brevispinus, a species severely impacted by wasting

A chromosome-level genome assembly for the dugong (Dugong dugon)

Chromosome-scale assemblies of S. malaccense, S. aqueum, S. jambos, and S. syzygioides provide insights into the evolution of Syzygium genomes


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

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

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

Molecular therapy. Methods & clinical development

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

Journal of translational genetics and genomics


[ECIR 2024] Official repository for the paper titled "Self Contrastive Learning for Session-based Recommendation"

Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

Global Context Enhanced Graph Neural Networks for Session-based Recommendation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Self-Supervised Graph Co-Training for Session-based Recommendation


Embedding Logical Queries on Knowledge Graphs

Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings

Beta Embeddings for Multi-Hop Logical Reasoning in Knowledge Graphs

Complex Query Answering with Neural Link Predictors


Official Implementation of Graph Mixer Networks

Principal Neighbourhood Aggregation for Graph Nets

A Generalization of ViT/MLP-Mixer to Graphs


Code for Policy Learning for Fairness in Ranking paper at NeurIPS 2019

Policy Learning for Fairness in Ranking

Algorithmic fairness datasets: the story so far

Fairness for Robust Learning to Rank

A Pre-processing Method for Fairness in Ranking

Random Isn't Always Fair: Candidate Set Imbalance and Exposure Inequality in Recommender Systems


Evaluation of Sentence Representations in Polish

Training Effective Neural Sentence Encoders from Automatically Mined Paraphrases

Improving Domain-Specific Retrieval by NLI Fine-Tuning


Notes on ChIP-seq and other-seq-related tools

TRRUST v2: an expanded reference database of human and mouse transcriptional regulatory interactions

CUT&Tag for efficient epigenomic profiling of small samples and single cells

The ENCODE Blacklist: Identification of Problematic Regions of the Genome

ChEA3: transcription factor enrichment analysis by orthogonal omics integration

ChIP-Atlas: a data-mining suite powered by full integration of public ChIP-seq data

Identification of transcription factor binding sites using ATAC-seq

Peak calling by Sparse Enrichment Analysis for CUT&RUN chromatin profiling

An interactive environment for agile analysis and visualization of ChIP-sequencing data

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

Zenodo (CERN European Organization for Nuclear Research)

ReMap 2020: a database of regulatory regions from an integrative analysis of Human and Arabidopsis DNA-binding sequencing experiments


Hierarchical Self-Play

Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

Learning Goal Embeddings via Self-Play for Hierarchical Reinforcement Learning

Explore and Control with Adversarial Surprise


Code for paper "Adversarial Support Alignment"

Domain-Adversarial Training of Neural Networks

A DIRT-T Approach to Unsupervised Domain Adaptation

Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift

Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Adversarial Support Alignment


Keras-based implementation of Relational Graph Convolutional Networks

Graph Neural Networks: A Review of Methods and Applications

Modeling Relational Data with Graph Convolutional Networks

Deep Learning on Graphs: A Survey

Relational Graph Convolutional Networks: A Closer Look

Skip Vectors for RDF Data: Extraction Based on the Complexity of Feature Patterns


[ECCV 2022] "Adversarial Contrastive Learning via Asymmetric InfoNCE"

Adversarial Self-Supervised Contrastive Learning

When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?


Microscopic diffusion anisotropy imaging made easy!

Multi-compartment microscopic diffusion imaging

Quantitative mapping of the per‐axon diffusion coefficients in brain white matter

White matter microstructure across the adult lifespan: A mixed longitudinal and cross-sectional study using advanced diffusion models and brain-age prediction

Relevance of time‐dependence for clinically viable diffusion imaging of the spinal cord

Comprehensive diffusion MRI dataset for in vivo human brain microstructure mapping using 300 mT/m gradients

Comparison of Neurite Orientation Dispersion and Density Imaging and Two-Compartment Spherical Mean Technique Parameter Maps in Multiple Sclerosis

Brain-wide associations between white matter and age highlight the role of fornix microstructure in brain ageing

Bio-psycho-social factors’ associations with brain age: a large-scale UK Biobank diffusion study of 35,749 participants

Mapping tissue microstructure across the human brain on a clinical scanner with soma and neurite density image metrics

Volume electron microscopy in injured rat brain validates white matter microstructure metrics from diffusion MRI


A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).

Population Based Training of Neural Networks

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

ASAP: Architecture Search, Anneal and Prune

Fast Hardware-Aware Neural Architecture Search

Inter-choice dependent super-network weights


Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images

Reliable and Efficient Concept Erasure of Text-to-Image Diffusion Models


Towards Deep Learning Models Resistant to Adversarial Attacks

Improving Adversarial Robustness via Promoting Ensemble Diversity

Improving Adversarial Robustness of Ensembles with Diversity Training

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

Spectrum Extraction and Clipping for Implicitly Linear Layers


PyTorch Implementation of Non-autoregressive Expressive (emotional, conversational) TTS based on FastSpeech2, supporting English, Korean, and your own languages.

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

FastSpeech: Fast, Robust and Controllable Text to Speech

Exploring Transfer Learning for Low Resource Emotional TTS

DailyTalk: Spoken Dialogue Dataset for Conversational Text-to-Speech

Enhancing Speaking Styles in Conversational Text-to-Speech Synthesis with Graph-Based Multi-Modal Context Modeling

STUDIES: Corpus of Japanese Empathetic Dialogue Speech Towards Friendly Voice Agent

Acoustic Modeling for End-to-End Empathetic Dialogue Speech Synthesis Using Linguistic and Prosodic Contexts of Dialogue History


Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation


Tools for Modeling Niches and Distributions of Species


DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation

Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation

Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis

Clinical Evaluation of a Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis


Difference-of-Entropies (DoE) Estimator

On Variational Bounds of Mutual Information

Formal Limitations on the Measurement of Mutual Information

Self-supervised Representation Learning with Relative Predictive Coding

A Differential Entropy Estimator for Training Neural Networks

Inductive Mutual Information Estimation: A Convex Maximum-Entropy Copula Approach


PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning


Reinforcement Learning based 'Learning' of Dynamic Sepsis Treatment Strategies

Off-Policy Deep Reinforcement Learning without Exploration

Benchmarking Batch Deep Reinforcement Learning Algorithms

Unifying cardiovascular modelling with deep reinforcement learning for uncertainty aware control of sepsis treatment


The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)

How Powerful are Graph Neural Networks?

Agent-based Graph Neural Networks

Asynchronous Neural Networks for Learning in Graphs


The description of FMFCC-A (audio track of FMFCC) dataset and Challenge resluts.

FMFCC-A: A Challenging Mandarin Dataset for Synthetic Speech Detection

A Practical Guide to Logical Access Voice Presentation Attack Detection

System Fingerprint Recognition for Deepfake Audio: An Initial Dataset and Investigation


R package for performing Mendelian Randomization using mixture models

Guidelines for performing Mendelian randomization investigations

Genome-wide pleiotropy analysis identifies novel blood pressure variants and improves its polygenic risk scores


Audio-Conditioned U-Net for Position Estimation in Full Sheet Images

Learning to Read and Follow Music in Complete Score Sheet Images


U-Net: Convolutional Networks for Biomedical Image Segmentation

Aggregated Residual Transformations for Deep Neural Networks

Hypercolumns for Object Segmentation and Fine-grained Localization

Concurrent Spatial and Channel Squeeze & Excitation in Fully Convolutional Networks

Automatic salt deposits segmentation: A deep learning approach


Modality-Agnostic Attention Fusion for visual search with text feedback

Composing Text and Image for Image Retrieval - An Empirical Odyssey

Training and challenging models for text-guided fashion image retrieval


MDToolbox: A MATLAB/Octave toolbox for statistical analysis of molecular dynamics trajectories

Minimum Free Energy Path of Ligand-Induced Transition in Adenylate Kinase

Linking time-series of single-molecule experiments with molecular dynamics simulations by machine learning

Energetics and conformational pathways of functional rotation in the multidrug transporter AcrB

Dimensionality of Collective Variables for Describing Conformational Changes of a Multi-Domain Protein.

The journal of physical chemistry letters

Influence of Structural Symmetry on Protein Dynamics

Sequential data assimilation for single-molecule FRET photon-counting data

Origin and control of ionic hydration patterns in nanopores


TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks

Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer

TUNeS: A Temporal U-Net with Self-Attention for Video-based Surgical Phase Recognition


Multi-modal Contrastive Representation Learning for Entity Alignment

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


This repository provides the implementation of the method proposed in our paper "Pruning Deep Neural Networks using Partial Least Squares"

Pruning Filters for Efficient ConvNets

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures


Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks

Deep Cox Mixtures for Survival Regression

A Deep Variational Approach to Clustering Survival Data


Pipeline for annotating genomes using long read transcriptomics data with pinfish

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

LARP1 isoform expression in human cancer cell lines

Full-length transcript sequencing of human and mouse identifies widespread isoform diversity and alternative splicing in the cerebral cortex


Implemention of paper “Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization (TIP 2018)"

Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review

Learning A 3D-CNN and Transformer Prior for Hyperspectral Image Super-Resolution

Fast and Stable Hyperspectral Multispectral Image Fusion Technique Using Moore–Penrose Inverse Solver

Unsupervised Hyperspectral and Multispectral Images Fusion Based on the Cycle Consistency


TMM package for offline ocean biogeochemical simulations

Calibrating a global three-dimensional biogeochemical ocean model (MOPS-1.0)

Calibration of a simple and a complex model of global marine biogeochemistry

One size fits all? Calibrating an ocean biogeochemistry model for different circulations

Noble gas tracers of ventilation during deep-water formation in the Weddell Sea

IOP Conference Series: Earth and Environmental Science

Global Ocean Cooling of 2.3°C During the Last Glacial Maximum


Code for the papers "Modeling the Second Player in Distributionally Robust Optimization" and "Distributionally Robust Models with Parametric Likelihood Ratios"

Learning Neural Models for Natural Language Processing in the Face of Distributional Shift


Synthesized data from real-world traces of data-intensive applications for coflow benchmarking.

Near Optimal Coflow Scheduling in Networks

SPAA'19: PROCEEDINGS OF THE 31ST ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURESS, 2019

Saath: Speeding up CoFlows by Exploiting the Spatial Dimension