A system for quickly generating training data with weak supervision

Snorkel: Rapid Training Data Creation with Weak Supervision

Data Programming: Creating Large Training Sets, Quickly

Data Programming using Continuous and Quality-Guided Labeling Functions

Infrastructure for Usable Machine Learning: The Stanford DAWN Project

Learning from Imperfect Annotations: An End-to-End Approach

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval

Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision

Ground Truth Inference for Weakly Supervised Entity Matching

Stochastic Generalized Adversarial Label Learning

Increasing Sentence-Level Comprehension Through Text Classification of Epistemic Functions

Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop


Breeze is a numerical processing library for Scala.

MLlib: Machine Learning in Apache Spark

A Survey on Distributed Machine Learning

Matrix Computations and Optimization in Apache Spark

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Benchmarking Data Flow Systems for Scalable Machine Learning

International Conference on Management of Data

Unsupervised, Knowledge-Free, and Interpretable Word Sense Disambiguation

Empirical Methods in Natural Language Processing

Understanding and Optimizing the Performance of Distributed Machine Learning Applications on Apache Spark

Declarative Data Analytics: a Survey

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

OCAPIS: R package for Ordinal Classification And Preprocessing In Scala


Microsoft Quantum Development Kit Samples

A quantum engineer's guide to superconducting qubits

Overview and Comparison of Gate Level Quantum Software Platforms

A Quantum Computing View on Unitary Coupled Cluster Theory

Assessing requirements to scale to practical quantum advantage

Q# and NWChem: Tools for Scalable Quantum Chemistry on Quantum Computers

Quingo: A Programming Framework for Heterogeneous Quantum-Classical Computing with NISQ Features

Automatic generation of Grover quantum oracles for arbitrary data structures

Interaction graph-based characterization of quantum benchmarks for improving quantum circuit mapping techniques

Developing Programming Assignments for Teaching Quantum Computing and Quantum Programming

Quantum Circuits for Functionally Controlled NOT Gates


Quantum Algorithms & Applications (**DEPRECATED** since April 2021 - see readme for more info)

Quantum Generative Adversarial Networks for learning and loading random distributions

Challenges and Opportunities of Near-Term Quantum Computing Systems

Open source software in quantum computing

Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

Network Community Detection on Small Quantum Computers

A Language and Hardware Independent Approach to Quantum-Classical
  Computing

Multilevel Combinatorial Optimization across Quantum Architectures

QDB: From Quantum Algorithms Towards Correct Quantum Programs

QBugs: A Collection of Reproducible Bugs in Quantum Algorithms and a Supporting Infrastructure to Enable Controlled Quantum Software Testing and Debugging Experiments

Bugs4Q: A Benchmark of Real Bugs for Quantum Programs


Dex to Java decompiler

Neural Sketch Learning for Conditional Program Generation

StoryDroid: Automated Generation of Storyboard for Android Apps

Do Android taint analysis tools keep their promises?

Security and Privacy Analyses of Internet of Things Toys

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Bayesian Sketch Learning for Program Synthesis.

CRYLOGGER: Detecting Crypto Misuses Dynamically

MalBERT: Malware Detection using Bidirectional Encoder Representations from Transformers

Dissecting contact tracing apps in the Android platform


Arm NN ML Software. The code here is a read-only mirror of https://review.mlplatform.org/admin/repos/ml/armnn

AI Benchmark: Running Deep Neural Networks on Android Smartphones

AI Benchmark: All About Deep Learning on Smartphones in 2019

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

TinyML Platforms Benchmarking

Landing AI on Networks: An Equipment Vendor Viewpoint on Autonomous Driving Networks

IEEE transactions on network and service management/IEEE eTransactions on network and service management

Quantune: Post-training quantization of convolutional neural networks using extreme gradient boosting for fast deployment

Ultra-Efficient On-Device Object Detection on AI-Integrated Smart
  Glasses with TinyissimoYOLO

GPUReplay: A 50-KB GPU Stack for Client ML

TinyML-Based Fall Detection for Connected Personal Mobility Vehicles

Computers, materials & continua/Computers, materials & continua (Print)


Fire Dynamics Simulator

Determining Firebrand Generation Rate Using Physics-Based Modelling from Experimental Studies through Inverse Analysis

Simulation of Fire with a Gas Kinetic Scheme on Distributed GPGPU Architectures

Heat radiation effects on insulating materials used in buildings

An appearance of asymmetrically spreading flames in narrow combustible channel

Defining parameters for numerical modelling of fires

Assessment of the Fire Dynamics Simulator Modeling for the Heating and Evaporation of a Single Water Droplet at Moderate and High Temperatures

Comparison of sprinkler activation times under flat and corrugated metal deck ceiling


Kubernetes Native Edge Computing Framework (project under CNCF)

Fog Function: Serverless Fog Computing for Data Intensive IoT Services

Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

MiCADO-Edge: Towards an Application-level Orchestrator for the Cloud-to-Edge Computing Continuum

Computing Power Network: A Survey

Named Data Networking Based Disaster Response Support System over Edge Computing Infrastructure

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing

An empirical study of vulnerabilities in edge frameworks to support security testing improvement


Tom's Obvious, Minimal Language

Allpix(2): A modular simulation framework for silicon detectors

Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment

PDFAnno: a Web-based Linguistic Annotation Tool for PDF Documents

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

A Real Time Processing system for big data in astronomy: Applications to HERA

User Manual for the Corryvreckan Test Beam Data Reconstruction Framework, Version 1.0

Refactoring Neural Networks for Verification

TurboPy: A lightweight python framework for computational physics

pySEOBNR: a software package for the next generation of
  effective-one-body multipolar waveform models

Property-Based Testing in Simulation for Verifying Robot Action Execution in Tabletop Manipulation


Datasets, Transforms and Models specific to Computer Vision

Deep Residual Learning for Image Recognition

ImageNet classification with deep convolutional neural networks

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Going Deeper with Convolutions

Fully Convolutional Networks for Semantic Segmentation

Densely Connected Convolutional Networks

SSD: Single Shot MultiBox Detector

Rethinking the Inception Architecture for Computer Vision

Focal Loss for Dense Object Detection


Community maintained fork of pdfminer - we fathom PDF

PathVQA: 30000+ Questions for Medical Visual Question Answering

The Semantic Scholar Open Data Platform

Towards Visual Question Answering on Pathology Images

Meeting of the Association for Computational Linguistics

MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions

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

COVIDScholar: An automated COVID-19 research aggregation and analysis platform

The Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools

TDJEE: A Document-Level Joint Model for Financial Event Extraction

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

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

GNI Corpus Version 1.0: Annotated Full-Text Corpus of Genomics & Informatics to Support Biomedical Information Extraction.

Genomics & informatics/Genomics & Informatics


A library for transfer learning by reusing parts of TensorFlow models.

Transformers: State-of-the-Art Natural Language Processing

Data and Representation for Turkish Natural Language Inference

Deep learning-based, computer-aided classifier developed with dermoscopic images shows comparable performance to 164 dermatologists in cutaneous disease diagnosis in the Chinese population

Towards ML Engineering: A Brief History Of TensorFlow Extended (TFX)

Learning Representations for Axis-Aligned Decision Forests through Input
  Perturbation

Automated Detection of Cervical Carotid Artery Calcifications in Cone Beam Computed Tomographic Images Using Deep Convolutional Neural Networks

Use of Machine Translation to Obtain Labeled Datasets for Resource-Constrained Languages.


The most popular spellchecking library.

Robust Open-Vocabulary Translation from Visual Text Representations

A Study of the Structure of Light Tin Isotopes via Single-Neutron Knockout Reactions

On the Dynamics of Political Discussions on Instagram: A Network Perspective

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

International Conference on Document Analysis and Recognition

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

Predicting the Amount of GDPR Fines

ReDASPersuasion at SemEval-2023 Task 3: Persuasion Detection using Multilingual Transformers and Language Agnostic Features

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)

Dealing with Abbreviations in the Slovenian Biographical Lexicon

Misspelling Detection from Noisy Product Images

International Conference on Computational Linguistics


TensorFlow documentation

Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning

An Investigation of Few-Shot Learning in Spoken Term Classification

Segment boundary detection directed attention for online end-to-end speech recognition

EURASIP Journal on Audio, Speech, and Music Processing

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

NITS-Hinglish-SentiMix at SemEval-2020 Task 9: Sentiment Analysis For
  Code-Mixed Social Media Text Using an Ensemble Model

Image Classification for the Automatic Feature Extraction in Human Worn Fashion Data

Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning

The 16th International Conference on the Foundations of Digital Games (FDG) 2021

Widen the Applicability of a Convolutional Neural-Network-Assisted Glaucoma Detection Algorithm of Limited Training Images across Different Datasets

Sampling type method combined with deep learning for inverse scattering
  with one incident wave

"Medium" LMs of Code in the Era of LLMs: Lessons From StackOverflow


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

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

From OpenAPI Fragments to API Pattern Primitives and Design Smells

PROCEEDINGS OF THE EUROPEAN CONFERENCE ON PATTERN LANGUAGES OF PROGRAMS 2021, EUROPLOP 2021

How do developers deal with security issue reports on GitHub?

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

Frost: A Platform for Benchmarking and Exploring Data Matching Results


ZXing ("Zebra Crossing") barcode scanning library for Java, Android

Immunochromatographic Diagnostic Test Analysis Using Google Glass

Security and Privacy of QR Code Applications: A Comprehensive Study, General Guidelines and Solutions

Cellular Automata-Based Application for Driver Assistance in Indoor Parking Areas

Roaming Service for Electric Vehicle Charging Using Blockchain-Based Digital Identity

Ubic: Bridging the gap between digital cryptography and the physical world

Color Visual Secret Sharing for QR Code with Perfect Module Reconstruction

An End-to-end Method for Producing Scanning-robust Stylized QR Codes

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

EyeSec: A Retrofittable Augmented Reality Tool for Troubleshooting Wireless Sensor Networks in the Field

A SNP panel and online tool for checking genotype concordance through comparing QR codes


Model interpretability and understanding for PyTorch

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision

Visualizing and Understanding Convolutional Networks

A Unified Approach to Interpreting Model Predictions

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

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Axiomatic Attribution for Deep Networks

Striving for Simplicity: The All Convolutional Net

Learning Important Features Through Propagating Activation Differences

SmoothGrad: removing noise by adding noise

Sanity Checks for Saliency Maps


Circuit IR Compilers and Tools

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

HIR: An MLIR-based Intermediate Representation for Hardware Accelerator Description

Compiler Infrastructure for Specializing Domain-Specific Memory Templates

Trireme: Exploring Hierarchical Multi-Level Parallelism for Domain
  Specific Hardware Acceleration

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

An Intermediate Representation for Composable Typed Streaming Dataflow
  Designs

A Toolchain for Streaming Dataflow Accelerator Designs for Big Data
  Analytics: Defining an IR for Composable Typed Streaming Dataflow Designs

Platform-Aware FPGA System Architecture Generation based on MLIR

Verilog-to-PyG -- A Framework for Graph Learning and Augmentation on RTL
  Designs


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

Attention Is All You Need

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

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models are Unsupervised Multitask Learners

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

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

Transformers: State-of-the-Art Natural Language Processing

End-to-End Object Detection with Transformers

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


ROCm Communication Collectives Library (RCCL)

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

IEEE transactions on parallel and distributed systems

Synthesizing optimal collective algorithms

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

MAPA: Multi -Accelerator Pattern Allocation Policy for Multi -Tenant GPU Servers

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

GC3: An Optimizing Compiler for GPU Collective Communication

GPU-initiated Fine-grained Overlap of Collective Communication with
  Computation


Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

Circuit Breakers, Discovery, and API Gateways in Microservices

Dissecting Service Mesh Overheads

Transition from monolithic to microservice-based applications. Challenges from the developer perspective

Toward A Collection of Cloud Integration Patterns

Intelligent flow control algorithm for microservice system

CATMA: Conformance Analysis Tool For Microservice Applications

CodeFuse-Query: A Data-Centric Static Code Analysis System for
  Large-Scale Organizations


Gaussian processes in TensorFlow

A Tutorial on Bayesian Optimization

Gaussian Processes for Big Data

When Gaussian Process Meets Big Data: A Review of Scalable GPs

GPflow: A Gaussian process library using TensorFlow

Convolutional Gaussian Processes

A Framework for Interdomain and Multioutput Gaussian Processes

Scalable Joint Models for Reliable Uncertainty-Aware Event Prediction

Few-shot learning of neural networks from scratch by pseudo example optimization

AutoGP: Exploring the Capabilities and Limitations of Gaussian Process Models

Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions


Optax is a gradient processing and optimization library for JAX.

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Robust fine-tuning of zero-shot models

Symbolic Discovery of Optimization Algorithms

Ranger21: a synergistic deep learning optimizer

What Matters for Adversarial Imitation Learning?

General-purpose, long-context autoregressive modeling with Perceiver AR

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.

Learning Optimal Conformal Classifiers

On the Sample Complexity of Stability Constrained Imitation Learning

JAX-FLUIDS: A fully-differentiable high-order computational fluid
  dynamics solver for compressible two-phase flows


:vertical_traffic_light: An extensible linter for the TypeScript language

A Benchmark of JSON-compatible Binary Serialization Specifications

Benchmarking JSON BinPack

Jiskefet, a bookkeeping application for ALICE


Moses, the machine translation system

Multilingual Denoising Pre-training for Neural Machine Translation

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Dual Learning for Machine Translation

Unsupervised Neural Machine Translation

Findings of the 2016 Conference on Machine Translation

Beyond English-Centric Multilingual Machine Translation

Massive Exploration of Neural Machine Translation Architectures

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

The Evolved Transformer

Structured Attention Networks


The Classical Language Toolkit

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

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

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

Empirical Methods in Natural Language Processing

Auceps syllabarum: A Digital Analysis of Latin Prose Rhythm

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

Evaluating Word Embeddings on Low-Resource Languages

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

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

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

Annotating Speech, Attitude and Perception Reports


Open-source Ethereum consensus client written in Java

Resource Analysis of Ethereum 2.0 Clients

Ethereum Proof-of-Stake under Scrutiny

The Multibillion Dollar Software Supply Chain of Ethereum


All Algorithms implemented in Python

Generating comments from source code with CCGs

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

PyTy: Repairing Static Type Errors in Python


An experimental library for Cubical Agda

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Proceedings of the ACM on programming languages

Internalizing Representation Independence with Univalence

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Symmetries in Reversible Programming: From Symmetric Rig Groupoids to
  Reversible Programming Languages

Three Equivalent Ordinal Notation Systems in Cubical Agda

Free Commutative Monoids in Homotopy Type Theory

Naive cubical type theory

Set-Theoretic and Type-Theoretic Ordinals Coincide

Computing Cohomology Rings in Cubical Agda

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

A Foundation for Synthetic Algebraic Geometry


Static Value-Flow Analysis Framework for Source Code

Multi-Modal Attention Network Learning for Semantic Source Code Retrieval

PhASAR: An Inter-procedural Static Analysis Framework for C/C++

Tools and Algorithms for Construction and Analysis of Systems

Compacting points-to sets through object clustering

Efficient Path-Sensitive Data-Dependence Analysis

RLTG: Multi-targets directed greybox fuzzing


A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

CatBoost: unbiased boosting with categorical features

CatBoost: gradient boosting with categorical features support

Time Masking for Temporal Language Models

A Novel Fracture Prediction Model Using Machine Learning in a Community‐Based Cohort

The Nature of High [OIII]_ 88μ m/[CII]_ 158μ m Galaxies in the Epoch of Reionization: Low Carbon Abundance and a Top-Heavy IMF?

Occupancy Prediction Using Low-Cost and Low-Resolution Heat Sensors for Smart Offices

Minimal Variance Sampling in Stochastic Gradient Boosting

Clinical Predictors of Prolonged Hospital Stay in Patients with Myasthenia Gravis: A Study Using Machine Learning Algorithms

Machine Learning based System for Vessel Turnaround Time Prediction

Breakthrough Curves Prediction of Selenite Adsorption on Chemically Modified Zeolite Using Boosted Decision Tree Algorithms for Water Treatment Applications


Manipulation and analysis of geometric objects

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

The Open Global Glacier Model (OGGM) v1.1

Model-based Exploration of the Frontier of Behaviours for Deep Learning
  System Testing

A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning

Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health

Diversifying databases of metal organic frameworks for high-throughput computational screening

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search

High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways

Supervised Classification of Built-Up Areas in Sub-Saharan African Cities Using Landsat Imagery and OpenStreetMap


Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

DeepLabCut: markerless pose estimation of user-defined body parts with deep learning

DeeperCut: A Deeper, Stronger, and Faster Multi-person Pose Estimation Model

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

Deep learning tools for the measurement of animal behavior in neuroscience

Multi-animal pose estimation, identification and tracking with DeepLabCut

Pretraining boosts out-of-domain robustness for pose estimation

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

The quantification of gesture–speech synchrony: A tutorial and validation of multimodal data acquisition using device-based and video-based motion tracking

Open-source tools for behavioral video analysis: Setup, methods, and best practices

Scientific Community Image Forum: A discussion forum for scientific image software


Ethereum implementation on the efficiency frontier

Ethereum's Proposer-Builder Separation: Promises and Realities

DeFi and NFTs Hinder Blockchain Scalability

Forsage: Anatomy of a Smart-Contract Pyramid Scheme

Exploring Price Accuracy on Uniswap V3 in Times of Distress

QPQ 1DLT: A system for the rapid deployment of secure and efficient
  EVM-based blockchains

Short Squeeze in DeFi Lending Market: Decentralization in Jeopardy?


CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.

The Stanford CoreNLP Natural Language Processing Toolkit

PROCEEDINGS OF 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: SYSTEM DEMONSTRATIONS

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning

Time Expression Analysis and Recognition Using Syntactic Token Types and General Heuristic Rules

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Multitask Parsing Across Semantic Representations

Neural Text Generation: A Practical Guide

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation

Author-based analysis of conference versus journal publication in computer science

Journal of the Association for Information Science and Technology

The impact of imbalanced training data on machine learning for author name disambiguation

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces


Comprehensive and open-source library of analysis tools for MRI of the spinal cord.

Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networks

Spinal cord gray matter segmentation using deep dilated convolutions

Unsuspected Involvement of Spinal Cord in Alzheimer Disease

Generalised boundary shift integral for longitudinal assessment of spinal cord atrophy

Optimal machine learning methods for radiomic prediction models: Clinical application for preoperative T-2*-weighted images of cervical spondylotic myelopathy

Diffusion Kurtosis Imaging of Neonatal Spinal Cord in Clinical Routine

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications


FlatBuffers: Memory Efficient Serialization Library

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

Software-based data acquisition and processing for neutron detectors at European Spallation Source—early experience from four detector designs

A Survey of JSON-compatible Binary Serialization Specifications

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Annual International Computer Software and Applications Conference

Analysis of Include Dependencies in C++ Source Code

Federated Conference on Computer Science and Information Systems

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

A static analysis method for safe comparison functors in C++

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

Generating High-Performance FPGA Accelerator Designs for Big Data Analytics with Fletcher and Apache Arrow


Core repository for Sawtooth Distributed Ledger

Blockchain Consensus Protocols in the Wild

The Gap Game

SYSTOR'18: PROCEEDINGS OF THE 11TH ACM INTERNATIONAL SYSTEMS AND STORAGE CONFERENCE

Blockchain and Trusted Computing: Problems, Pitfalls, and a Solution for Hyperledger Fabric.

Distributed service‐level agreement management with smart contracts and blockchain

Blockchain for Healthcare: Securing Patient Data and Enabling Trusted Artificial Intelligence

International journal of interactive multimedia and artificial intelligence

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains.

Privacy Preservation of User Identity in Contact Tracing for COVID-19-Like Pandemics Using Edge Computing

Chaos Engineering For Understanding Consensus Algorithms Performance in Permissioned Blockchains

Research Perspectives and Challenges of Blockchain for Data-Intensive and Resource-Constrained Devices

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos
  Engineering


Best Practices on Recommendation Systems

Auto-Encoding Variational Bayes

Neural Collaborative Filtering

Wide & Deep Learning for Recommender Systems

LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation

Session-based Recommendations with Recurrent Neural Networks

Self-Attentive Sequential Recommendation

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Variational Autoencoders for Collaborative Filtering

DKN: Deep Knowledge-Aware Network for News Recommendation

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems


Cloud native networking and network security

Performance Analysis of Zero-Trust multi-cloud

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


Resource scheduling and cluster management for AI

Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads

BenchENAS: A Benchmarking Platform for Evolutionary Neural Architecture Search

NeuronBlocks: Building Your NLP DNN Models Like Playing Lego


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

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

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

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

The Deep Learning Compiler: A Comprehensive Survey

IEEE transactions on parallel and distributed systems

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

DeepTransport: Learning Spatial-Temporal Dependency for Traffic Condition Forecasting

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

PP-YOLOE: An evolved version of YOLO

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

Online Job Scheduling in Distributed Machine Learning Clusters


Supercharge Your Model Training

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

FFCV: Accelerating Training by Removing Data Bottlenecks

Efficient Large Language Models: A Survey

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities

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

A Survey on Efficient Training of Transformers

Efficient Neural Net Approaches in Metal Casting Defect Detection

Augmentations: An Insight into their Effectiveness on Convolution Neural
  Networks

Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning
  Rates

Reduce, Reuse, Recycle: Improving Training Efficiency with Distillation


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

Explaining and Harnessing Adversarial Examples

The Limitations of Deep Learning in Adversarial Settings

Practical Black-Box Attacks against Machine Learning

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

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

Adversarial Patch

Generating Adversarial Examples with Adversarial Networks

Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks

Machine Learning Testing: Survey, Landscapes and Horizons

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

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


A computer algebra system written in pure Python

PyR@TE: Renormalization Group Equations for General Gauge Theories

Using Relative Lines of Code to Guide Automated Test Generation for Python

ACM transactions on software engineering and methodology

HybridQ: A Hybrid Simulator for Quantum Circuits

An Initial Step Towards Organ Transplantation Based on GitHub Repository

Certifying Differential Equation Solutions from Computer Algebra Systems
  in Isabelle/HOL

An Application of Rubi: Series Expansion of the Quark Mass Renormalization Group Equation

Numerical Methods and the 4-point 2-loop Higgs amplitudes


The USRP™ Hardware Driver Repository

Oscillator metrology with software defined radio

Indoor Positioning of Low-Cost Narrowband IoT Nodes: Evaluation of a TDoA Approach in a Retail Environment

Ultrawideband USRP-Based Channel Sounding Utilizing the RFNoC Framework


CTFs as you need them

NIZKCTF: A Non-Interactive Zero-Knowledge Capture the Flag Platform

An Analysis and Evaluation of Open Source Capture the Flag Platforms as Cybersecurity e-Learning Tools

Cybercompetitions: A survey of competitions, tools, and systems to support cybersecurity education

PocketCTF: A Fully Featured Approach for Hosting Portable Attack and Defense Cybersecurity Exercises


DyNet: The Dynamic Neural Network Toolkit

End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

A Primer on Neural Network Models for Natural Language Processing

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

Controlling Linguistic Style Aspects in Neural Language Generation

Improving Hypernymy Detection with an Integrated Path-based and Distributional Method

Incorporating Structural Alignment Biases into an Attentional Neural Translation Model

Neural Machine Translation and Sequence-to-sequence Models: A Tutorial

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models


Tutorials and programming exercises for learning Q# and quantum computing

Teaching Quantum Computing through a Practical Software-driven Approach:
  Experience Report

Technical Symposium on Computer Science Education

Developing Programming Assignments for Teaching Quantum Computing and Quantum Programming

Q# as a Quantum Algorithmic Language

The Quantum Katas: Learning Quantum Computing using Programming Exercises


MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

Pre-Trained Models: Past, Present and Future

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

TensorOpt: Exploring the Tradeoffs in Distributed DNN Training With Auto-Parallelism

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

Landing AI on Networks: An Equipment Vendor Viewpoint on Autonomous Driving Networks

IEEE transactions on network and service management/IEEE eTransactions on network and service management

Efficient and Systematic Partitioning of Large and Deep Neural Networks for Parallelization

Adapting for the COVID-19 pandemic in Ecuador, a characterization of hospital strategies and patients

MLink: Linking Black-Box Models for Collaborative Multi-Model Inference

4K-Resolution Photo Exposure Correction at 125 FPS with ~8K Parameters


Twitter for Python!

A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration

CoVerifi: A COVID-19 news verification system

Elites Tweet to Get Feet Off the Streets: Measuring Regime Social Media Strategies During Protest

Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction mention extraction

A German Twitter Snapshot

Exploring the fine-grained analysis and automatic detection of irony on Twitter

An Experimental Analysis of Data Annotation Methodologies for Emotion Detection in Short Text Posted on Social Media

Zenodo (CERN European Organization for Nuclear Research)

Optimism and pessimism analysis using deep learning on COVID-19 related twitter conversations

COVID-19: Social Media Sentiment Analysis on Reopening

#Coronavirus or #Chinesevirus?!: Understanding the negative sentiment
  reflected in Tweets with racist hashtags across the development of COVID-19


Apache Tomcat

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

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

On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures

Predicting technical debt from commit contents: reproduction and extension with automated feature selection

Using Distributed Representation of Code for Bug Detection.


A high performance implementation of the Ruby programming language, built on GraalVM.

Parallelization of dynamic languages: synchronizing built-in collections

Proceedings of the ACM on programming languages

Threaded Code Generation with a Meta-Tracing JIT Compiler


Official QEMU mirror. Please see https://www.qemu.org/contribute/ for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

User Space Network Drivers

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

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

Large Language Models for Test-Free Fault Localization

Limits of Machine Learning for Automatic Vulnerability Detection

Towards an Automated Unified Framework to Run Applications for Combinatorial Interaction Testing

Graph Convolutions Enrich the Self-Attention in Transformers!

QEMU-based hardware/software co-development for DAQ systems


Official Python client library for kubernetes

The Dark Energy Survey Data Release 2

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

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

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

Astronomical source finding services for the CIRASA visual analytic platform


ObsPy: A Python Toolbox for seismology/seismological observatories.

PyNose: A Test Smell Detector For Python

Detecting Spontaneous Neural Oscillation Events in Primate Auditory Cortex

Spatio‐Temporal Evolution of Earthquake Static Stress Drop Values in the 2016–2017 Central Italy Seismic Sequence

Journal of geophysical research. Solid earth

Seismicity and seismotectonics of the Albstadt Shear Zone in the northern Alpine foreland

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence

On the effects of wrongly aligned seismogram components for shear wave splitting analysis

NEW PHOTOMETRY AND SPECTROSCOPY OF DW CANCRI

Revista mexicana de astronomía y astrofísica


:chains: A Framework for Building High Value Public Blockchains :sparkles:

The Interblockchain Communication Protocol: An Overview

TrustBoost: Boosting Trust among Interoperable Blockchains

Analyzing the Performance of the Inter-Blockchain Communication Protocol

Interchain Timestamping for Mesh Security

Emergency Management and Recovery of Luna Classic

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos
  Engineering

DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing
  of Software

Using Architecture Decision Records in Open Source Projects—An MSR Study on GitHub


Persistent Memory Development Kit

Object-oriented recovery for non-volatile memory

The Parallel Persistent Memory Model

SPAA'18: PROCEEDINGS OF THE 30TH ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

Persistent Software Combining

WITCHER : Detecting Crash Consistency Bugs in Non-volatile Memory
  Programs

Q-Selector-Based Prefetching Method for DRAM/NVM Hybrid Main Memory System

PETRA

ACM transactions on architecture and code optimization

Arcadia: A Fast and Reliable Persistent Memory Replicated Log

Revisiting active object stores: Bringing data locality to the limit with NVM

Analysis and Optimization of GNN-Based Recommender Systems on Persistent
  Memory


Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

Comparative Analysis of Single-Cell RNA Sequencing Methods

A comparison of single-cell trajectory inference methods

An accurate and robust imputation method scImpute for single-cell RNA-seq data

Bias, robustness and scalability in single-cell differential expression analysis

A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

Design and computational analysis of single-cell RNA-sequencing experiments

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models


Container Network Interface - networking for Linux containers

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

Performance characterization of containerization for HPC workloads on InfiniBand clusters: an empirical study

Performance Isolation for Network Slices in Industry 4.0: The 5Growth Approach

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


Production First and Production Ready End-to-End Speech Recognition Toolkit

wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations

Conformer: Convolution-augmented Transformer for Speech Recognition

w2v-BERT: Combining Contrastive Learning and Masked Language Modeling for Self-Supervised Speech Pre-Training

WeNet: Production Oriented Streaming and Non-Streaming End-to-End Speech Recognition Toolkit

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech
  Recognition

Self-supervised Learning with Random-projection Quantizer for Speech
  Recognition

Unified Streaming and Non-streaming Two-pass End-to-end Model for Speech
  Recognition

WeNet 2.0: More Productive End-to-End Speech Recognition Toolkit

U2++: Unified Two-pass Bidirectional End-to-end Model for Speech Recognition

Disentangling Content and Fine-Grained Prosody Information Via Hybrid ASR Bottleneck Features for Voice Conversion


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

Adding Conditional Control to Text-to-Image Diffusion Models

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

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

Composer: Creative and Controllable Image Synthesis with Composable
  Conditions

VideoFusion: Decomposed Diffusion Models for High-Quality Video
  Generation

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

ModelScope Text-to-Video Technical Report

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

AnyDoor: Zero-shot Object-level Image Customization

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


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

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

Multi-representation knowledge distillation for audio classification

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

Automatic Pull Request Title Generation

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

Residue-based Label Protection Mechanisms in Vertical Logistic Regression

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

Runtime Software Patching: Taxonomy, Survey and Future Directions

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

RPC Considered Harmful: Fast Distributed Deep Learning on RDMA


QuTiP: Quantum Toolbox in Python

The SLH framework for modeling quantum input-output networks

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

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

QuantumFed: A Federated Learning Framework for Collaborative Quantum Training

Bug Characteristics in Quantum Software Ecosystem

On the Unraveling of Open Quantum Dynamics


Optimizer and compiler/toolchain library for WebAssembly

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Next-generation Web Applications with WebAssembly and TruffleWasm

International Convention on Information and Communication Technology, Electronics and Microelectronics

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

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

WASMixer: Binary Obfuscation for WebAssembly


Caffe: a Fast framework for deep learning. Custom version with built-in sparse inputs, segmentation, object detection, class weights, and custom layers

Focal Loss for Dense Object Detection

SGDR: Stochastic Gradient Descent with Warm Restarts

Soft-NMS -- Improving Object Detection With One Line of Code

Single-Shot Refinement Neural Network for Object Detection

XNect: Real-time Multi-person 3D Human Pose Estimation with a Single RGB Camera


The fastai deep learning library

Deep Residual Learning for Image Recognition

Universal Language Model Fine-tuning for Text Classification

Regularizing and Optimizing LSTM Language Models

fastai: A Layered API for Deep Learning

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

AI Feynman: a Physics-Inspired Method for Symbolic Regression

A Baseline for Few-Shot Image Classification

All You Need is "Love": Evading Hate-speech Detection

Automated Pavement Crack Segmentation Using U-Net-Based Convolutional Neural Network

A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images


JDK main-line development https://openjdk.org/projects/jdk

Adaptive Shivers Sort: An Alternative Sorting Algorithm

Galloping in Fast-Growth Natural Merge Sorts

Tell-Tale Tail Latencies: Pitfalls and Perils in Database Benchmarking

Profiling and Optimizing Java Streams

Verifying C++ Dynamic Binding

Sound Atomicity Inference for Data-Centric Synchronization


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

Convolutional Sequence to Sequence Learning

Model compression via distillation and quantization

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

Proceedings of the 2nd Workshop on New Frontiers in Summarization

CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

A Neural Model for Generating Natural Language Summaries of Program Subroutines

Compositionality decomposed: how do neural networks generalise?

COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization

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

Reformulating Unsupervised Style Transfer as Paraphrase Generation

Training RNNs as Fast as CNNs

Conference on Empirical Methods in Natural Language Processing


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

Blockchains vs. Distributed Databases: Dichotomy and Fusion

RULF: Rust Library Fuzzing via API Dependency Graph Traversal

Blockchains and Distributed Databases: a Twin Study.

Hero: On the Chaos When PATH Meets Modules

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

Coo: Consistency Check for Transactional Databases


Empowering everyone to build reliable and efficient software.

RustBelt: securing the foundations of the Rust programming language

Symposium on Principles of Programming Languages

Leveraging Rust Types for Modular Specification and Verification

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

Stacked borrows: an aliasing model for Rust

How do programmers use unsafe rust?

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

KRust: A Formal Executable Semantics of Rust

Rusty Variation: Deadlock-free Sessions with Failure in Rust

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries

Präzi: from package-based to call-based dependency networks


Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.

A comprehensive study of bloated dependencies in the Maven ecosystem

A Critical Comparison on Six Static Analysis Tools: Detection,
  Agreement, and Precision

On the adequacy of static analysis warnings with respect to code smell prediction

Mutation testing in the wild: findings from GitHub

Alleviating Merge Conflicts with Fine-grained Visual Awareness

State-Of-The-Practice in Quality Assurance in Java-Based Open Source
  Software Development


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

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

TorchGeo: Deep Learning With Geospatial Data

Reducing the variance in online optimization by transporting past gradients

Non-local Recurrent Neural Memory for Supervised Sequence Modeling

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

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

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

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

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

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


Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Highly accurate protein structure prediction with AlphaFold

Advances and Open Problems in Federated Learning

ColabFold - Making protein folding accessible to all

PaLM: Scaling Language Modeling with Pathways

On the Opportunities and Risks of Foundation Models

Scaling Instruction-Finetuned Language Models

Flamingo: a Visual Language Model for Few-Shot Learning

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields


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

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

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

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

Assessing Language Model Deployment with Risk Cards

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

Demystifying RCE Vulnerabilities in LLM-Integrated Apps

Safeguarding Crowdsourcing Surveys from ChatGPT with Prompt Injection

ChatGPT: Understanding Code Syntax and Semantics


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

Blockchain for Cities—A Systematic Literature Review

Performance Evaluation of the Quorum Blockchain Platform

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

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

The Attack of the Clones Against Proof-of-Authority

Enabling Enterprise Blockchain Interoperability with Trusted Data Transfer (Industry Track)


Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training

Reconstructing cell cycle and disease progression using deep learning

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

Demystifying Neural Style Transfer

Comprehensive survey of deep learning in remote sensing: theories, tools, and challenges for the community

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

On the Reconstruction of Face Images from Deep Face Templates

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

Blessing of dimensionality: mathematical foundations of the statistical physics of data

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


Serve, optimize and scale PyTorch models in production

Automated MSCT Analysis for Planning Left Atrial Appendage Occlusion Using Artificial Intelligence

Machine Learning Systems are Bloated and Vulnerable


A simple, yet elegant, HTTP library.

RESCRIPt: Reproducible sequence taxonomy reference database management

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

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

PyNose: A Test Smell Detector For Python

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

The Rise of GoodFATR: A Novel Accuracy Comparison Methodology for Indicator Extraction Tools

A Dataset of Coordinated Cryptocurrency-Related Social Media Campaigns

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

GIRT-Data: Sampling GitHub Issue Report Templates


The pattern matching swiss knife

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

Large Language Models for Code: Security Hardening and Adversarial Testing

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

Robust PDF Files Forensics Using Coding Style

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem

Cyberattack Graph Modeling for Visual Analytics


The NEST simulator

Towards a theory of cortical columns: From spiking neurons to interacting neural populations of finite size

Evolving interpretable plasticity for spiking networks

Connectivity concepts in neuronal network modeling

The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices


Creative Commons Attribution 4.0 International

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

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

An Empirical Study on Challenging Math Problem Solving with GPT-4

EcoAssistant: Using LLM Assistant More Affordably and Accurately

Cost-Effective Hyperparameter Optimization for Large Language Model
  Generation Inference

TaskWeaver: A Code-First Agent Framework

Generative Retrieval-Augmented Ontologic Graph and Multiagent Strategies for Interpretive Large Language Model-Based Materials Design

EHRAgent: Code Empowers Large Language Models for Complex Tabular
  Reasoning on Electronic Health Records

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications


RIOT -  The friendly OS for IoT

Information centric networking in the IoT

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

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)

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

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

Design Considerations for Low Power Internet Protocols

Powering the Internet of Things with RIOT: Why? How? What is RIOT?

A DTLS Abstraction Layer for the Recursive Networking Architecture in RIOT


This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

COMPARISON OF FRONT-END FRAMEWORKS FOR WEB APPLICATIONS DEVELOPMENT

A Large-Scale Study on Source Code Reviewer Recommendation

Software Engineering and Advanced Applications

Guide Picker is a comprehensive design tool for visualizing and selecting guides for CRISPR experiments

Are game engines software frameworks? A three-perspective study

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

Cupid: Leveraging ChatGPT for More Accurate Duplicate Bug Report
  Detection

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

VectorMap-GR: A local scale operational management tool for entomological monitoring, to support vector control activities in Greece and the Mediterranean Basin

Current research in parasitology and vector-borne diseases

Exploring Relevant Artifacts of Release Notes: The Practitioners' Perspective


Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

Nonconforming Dirichlet boundary conditions in implicit material point method by means of penalty augmentation

Partitioned simulation strategies for fluid–structure–control interaction problems by Gauss–Seidel formulations

Advanced modeling and simulation in engineering sciences

A Unified Arbitrary Lagrangian–Eulerian Model for Fluid–Structure Interaction Problems Involving Flows in Flexible Channels

A partitioned material point method and discrete element method coupling scheme

Realization of a Framework for Simulation-Based Large-Scale Shape Optimization Using Vertex Morphing

Journal of optimization theory and applications

Gradient-Free and Gradient-Based Optimization of a Radial Turbine

International journal of turbomachinery, propulsion and power

Investigating the Vibration Mitigation Efficiency of Tuned Sloshing Dampers Using a Two-Fluid CFD Approach

Enriched finite element approach for modeling discontinuous electric field in multi-material problems


Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

A review of bioinformatic pipeline frameworks

Parsl: Pervasive Parallel Programming in Python

IEEE International Symposium on High-Performance Parallel Distributed Computing

Comparative Annotation Toolkit (CAT)—simultaneous clade and personal genome annotation

NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes

A self-driving laboratory advances the Pareto front for material properties

Fast modeling of turbulent transport in fusion plasmas using neural networks

Zenodo (CERN European Organization for Nuclear Research)

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

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

Harnessing the Power of Many: Extensible Toolkit for Scalable Ensemble Applications

StreamFlow: cross-breeding cloud with HPC

Software for Dataset-wide XAI: From Local Explanations to Global
  Insights with Zennit, CoRelAy, and ViRelAy


Data and software for building the ACL Anthology.

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

Examining Citations of Natural Language Processing Literature

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

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature

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

Findings of the Association for Computational Linguistics: ACL 2022

Analyzing Dataset Annotation Quality Management in the Wild


Official ECMAScript Conformance Test Suite

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

Learning a Static Analyzer from Data

JaVerT 2.0: compositional symbolic execution for JavaScript

Proceedings of the ACM on programming languages

Executable formal semantics for the POSIX shell

Gillian, Part II: Real-World Verification for JavaScript and C

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

Gillian: Compositional Symbolic Execution for All.

EMME: a formal tool for ECMAScript Memory Model Evaluation


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

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

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

SpeechBrain: A General-Purpose Speech Toolkit

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

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

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

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

End-to-End Neural Speaker Diarization with Self-attention

End-to-End Neural Speaker Diarization with Permutation-Free Objectives


Tesseract Open Source OCR Engine (main repository)

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

Chargrid: Towards Understanding 2D Documents

TableBank: Table Benchmark for Image-based Table Detection and Recognition

StructuralLM: Structural Pre-training for Form Understanding

Towards understanding and detecting fake reviews in app stores

PlotQA: Reasoning over Scientific Plots

Multimodal deep networks for text and image-based document
  classification

Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation

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

Twitter100k: A Real-World Dataset for Weakly Supervised Cross-Media Retrieval


High-level tracing language for Linux eBPF

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

FlexTOE: Flexible TCP Offload with Fine-Grained Parallelism

Observability and chaos engineering on system calls for containerized applications in Docker

Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios

MiSeRTrace: Kernel-level Request Tracing for Microservice Visibility

BLINDTRUST: Oblivious Remote Attestation for Secure Service Function
  Chains

ONCache: A Cache-Based Low-Overhead Container Overlay Network


The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

Benchmarking Memory-Centric Computing Systems: Analysis of Real Processing-In-Memory Hardware

Random testing for C and C++ compilers with YARPGen

Suspending OpenMP Tasks on Asynchronous Events: Extending the Taskwait Construct

OpenMP: Advanced Task-Based, Device and Compiler Programming

ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation

PACStack: an Authenticated Call Stack

Compiling ONNX Neural Network Models Using MLIR

情報処理学会論文誌プログラミング（PRO）

High Performance Code Generation in MLIR: An Early Case Study with GEMM.

Who is Debugging the Debuggers? Exposing Debug Information Bugs in Optimized Binaries

Dataflow-based pruning for speeding up superoptimization

A Reinforcement Learning Environment for Polyhedral Optimizations


An incremental parsing system for programming tools

GraphCodeBERT: Pre-training Code Representations with Data Flow

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

The Stack: 3 TB of permissively licensed source code

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

Code Structure Guided Transformer for Source Code Summarization

Multimodal Representation for Neural Code Search

CCTEST: Testing and Repairing Code Completion Systems

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

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

Execution-based Code Generation using Deep Reinforcement Learning


A collaboration friendly studio for NeRFs

Instant neural graphics primitives with a multiresolution hash encoding

Nerfstudio: A Modular Framework for Neural Radiance Field Development

NeRSemble: Multi-view Radiance Field Reconstruction of Human Heads

INITIAL ASSESSMENT ON THE USE OF STATE-OF-THE-ART NERF NEURAL NETWORK 3D RECONSTRUCTION FOR HERITAGE DOCUMENTATION

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


Anserini is a Lucene toolkit for reproducible information retrieval research

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Document Expansion by Query Prediction

Simple Applications of BERT for Ad Hoc Document Retrieval

The Neural Hype and Comparisons Against Weak Baselines

Critically Examining the "Neural Hype": Weak Baselines and the Additivity of Effectiveness Gains from Neural Ranking Models

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers.

Query Resolution for Conversational Search with Limited Supervision

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

Rethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline

Simplified Data Wrangling with ir_datasets

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

A Neural Corpus Indexer for Document Retrieval


Open-source simulator for autonomous driving research.

Augmented LiDAR Simulator for Autonomous Driving

International Conference on Robotics and Automation

Scenic: A Language for Scenario Specification and Data Generation

Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions

Learning Across Tasks and Domains

Sensor Fusion in Autonomous Vehicle with Traffic Surveillance Camera System: Detection, Localization, and AI Networking

Introducing Intermediate Domains for Effective Self-Training during
  Test-Time

Review of wheeled mobile robot collision avoidance under unknown environment

TARGET: Automated Scenario Generation from Traffic Rules for Testing
  Autonomous Vehicles

Self-Supervised Steering Angle Prediction for Vehicle Control Using Visual Odometry

Synthetic Dataset Generation for Adversarial Machine Learning Research


A secure embedded operating system for microcontrollers

μTiles: Efficient Intra-Process Privilege Enforcement of Memory
  Regions

Enabling Lightweight Privilege Separation in Applications with
  MicroGuards


Community-curated topic and collection pages on GitHub

Topic recommendation for software repositories using multi-label classification algorithms

HybridRec: A recommender system for tagging GitHub repositories

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


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

KLUE: Korean Language Understanding Evaluation

GitTables: A Large-Scale Corpus of Relational Tables

Lux: Always-on Visualization Recommendations for Exploratory Dataframe
  Workflows

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

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

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

Key Information Extraction From Documents: Evaluation And Generator

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

International Conference on Document Analysis and Recognition

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

DreamDrug - A crowdsourced NER dataset for detecting drugs in darknet markets

Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)


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

Scaling Speech Technology to 1,000+ Languages

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

The NiuTrans End-to-End Speech Translation System for IWSLT 2021 Offline Task


Graph Neural Network Library for PyTorch

Inductive Representation Learning on Large Graphs

Translating Embeddings for Modeling Multi-relational Data

Graph Neural Networks: A Review of Methods and Applications

Fast Graph Representation Learning with PyTorch Geometric

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

PointCNN: Convolution On ��-Transformed Points

RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space

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

Order Matters: Sequence to sequence for sets


A podcast manager for Android

It Takes Two to TANGO: Combining Visual and Textual Information for Detecting Duplicate Video-Based Bug Reports

Fully automated functional fuzzing of Android apps for detecting non-crashing logic bugs

Lifestate: Event-Driven Protocols and Callback Control Flow (Extended Version).


A python interface for interacting with the Ethereum blockchain and ecosystem.

Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World

Lecture notes in business information processing

BGPcoin: Blockchain-Based Internet Number Resource Authority and BGP Security Solution

Shard Scheduler: object placement and migration in sharded account-based blockchains

Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations

EdgeToll: A Blockchain-based Toll Collection System for Public Sharing
  of Heterogeneous Edges

Forsage: Anatomy of a Smart-Contract Pyramid Scheme

zkay v0.2: Practical Data Privacy for Smart Contracts

Detecting DeFi Securities Violations from Token Smart Contract Code


Perl script for manipulating multiple sequence alignments for phylogenetic reconstruction

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

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

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


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

COMSIM: A Bipartite Community Detection Algorithm Using Cycle and Node's Similarity

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


Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

Highly accurate protein structure prediction with AlphaFold

ProteinNet: a standardized data set for machine learning of protein structure

SidechainNet: An All-Atom Protein Structure Dataset for Machine Learning

Accurate Protein Structure Prediction by Embeddings and Deep Learning Representations


Implementation of "Deep reinforcement learning for imbalanced classification" and its extended version to multi-class

Deep Reinforcement Learning with Double Q-learning

Dueling Network Architectures for Deep Reinforcement Learning


CRC Subtyping Consortium

The consensus molecular subtypes of colorectal cancer

Transcriptional Subtyping and CD8 Immunohistochemistry Identifies Patients With Stage II and III Colorectal Cancer With Poor Prognosis Who Benefit From Adjuvant Chemotherapy


A CSV formatted file using data from the Yelp Academic Dataset.

Streaming Submodular Maximization under a k-Set System Constraint

Regularized Submodular Maximization at Scale

Submodular Maximization Through Barrier Functions


Detecting and Correcting for Label Shift with Black Box Predictors

B-tests: Low Variance Kernel Two-Sample Tests

FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test


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

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

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

Composite Adversarial Attacks

Bayesian Optimization with High-Dimensional Outputs

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


“When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau

HiCPlotter integrates genomic data with interaction matrices

INT-Hi-C reveals distinct chromatin architecture in endosperm and leaf tissues of Arabidopsis

The genome of Orychophragmus violaceus provides genomic insights into the evolution of Brassicaceae polyploidization and its distinct traits

Karyotype evolution of the Asterids insights from the first genome sequences of the family Cornaceae

DNA research : an international journal for rapid publication of reports on genes and genomes

The genome sequence and demographic history of Przewalskia tangutica (Solanaceae), an endangered alpine plant on the Qinghai-Tibet Plateau.


Imputing Single-cell RNA-seq data by combining Graph Convolution and Autoencoder Neural Networks

Imputing single-cell RNA-seq data by combining graph convolution and autoencoder neural networks

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Imputation Methods for scRNA Sequencing Data


Pipeline to annotate sequences at different taxonomic levels using  NCBI's taxonomy

COCACOLA: binning metagenomic contigs using sequence COmposition, read CoverAge, CO-alignment and paired-end read LinkAge

CONCOCT: Clustering cONtigs on COverage and ComposiTion

A Large-Scale Comparative Metagenomic Study Reveals the Functional Interactions in Six Bloom-Forming Microcystis-Epibiont Communities

Improving contig binning of metagenomic data using d(2)(S) oligonucleotide frequency dissimilarity

HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

MetaGen: reference-free learning with multiple metagenomic samples


Atomic Line Spectral Estimation Toolbox

Variational Bayesian Inference of Line Spectra

Superfast Line Spectral Estimation

A Fast Interior Point Method for Atomic Norm Soft Thresholding


AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.

Editing Models with Task Arithmetic

TIES-Merging: Resolving Interference When Merging Models


collection of scripts and commands used by Ian Korf, Keith Bradnam, and Joe Fass in the analysis of Assemblathon 2 entries (assemblies)

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

Convergent molecular evolution among ash species resistant to the emerald ash borer

The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders

Genome survey and microsatellite motif identification of Pogonophryne albipinna

Twinkle twinkle brittle star: the draft genome of Ophioderma brevispinum (Echinodermata: Ophiuroidea) as a resource for regeneration research

CRISPR/Cas9-Based Knock-Out of the PMR4 Gene Reduces Susceptibility to Late Blight in Two Tomato Cultivars

International journal of molecular sciences


Dynamic Sparse Training for Deep Reinforcement Learning

Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning

What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator


About Official repository of paper titled "ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes"

ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing

LANCE: Stress-testing Visual Models by Generating Language-guided
  Counterfactual Images


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


A curated repository of Neuro-AI papers.

Deep neural networks: a new framework for modelling biological vision and brain information processing

Deep Neural Networks Rival the Representation of Primate IT Cortex for Core Visual Object Recognition

Deep learning for AI

Deep Learning: The Good, the Bad, and the Ugly.

A thousand brains: toward biologically constrained AI

Learning About the World by Learning About Images

Current directions in psychological science


Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition

Broadcasted Residual Learning for Efficient Keyword Spotting


AdaptFormer: Adapting Vision Transformers for Scalable Visual
  Recognition

Convolutional Bypasses Are Better Vision Transformer Adapters

FacT: Factor-Tuning for Lightweight Adaptation on Vision Transformer

Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT I


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

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

Learning Versatile 3D Shape Generation with Improved AR Models

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


official code of CVPR'18 paper "learning to generate time-lapse videos using multi-stage dynamic generative adversarial networks"

Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks

Generating Videos with Dynamics-aware Implicit Generative Adversarial
  Networks

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Video Probabilistic Diffusion Models in Projected Latent Space

Stochastic Image-to-Video Synthesis using cINNs

MoStGAN-V: Video Generation with Temporal Motion Styles


Cox-nnet: An artificial neural network method for prognosis prediction of high-throughput omics data

The Application of Deep Learning in Cancer Prognosis Prediction

Cox-nnet: an artificial neural network method for prognosis prediction on high-throughput omics data


Extension of the rdf3x engine and the translatesparql tool.

Left Bit Right: For SPARQL Join Queries with OPTIONAL Patterns (Left-outer-joins)

Accurate Summary-based Cardinality Estimation Through the Lens of Cardinality Estimation Graphs

Leveraging Neighborhood Summaries for Efficient RDF Queries on RDBMS

ROSIE: Runtime Optimization of SPARQL Queries Using Incremental
  Evaluation


Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)

Meta-Learning with Implicit Gradients

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning

Continuous-Time Meta-Learning with Forward Mode Differentiation

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning


Nested Graph Neural Networks

Graph Augmentation Learning

State of the Art and Potentialities of Graph-level Learning


Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

DARTS: Differentiable Architecture Search

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware


Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Graph Self-supervised Learning with Accurate Discrepancy Learning

MetaGL: Evaluation-Free Selection of Graph Learning Models via
  Meta-Learning

Substructure-Atom Cross Attention for Molecular Representation Learning


HoloGAN

GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

3D-aware Image Synthesis via Learning Structural and Textural Representations

Unsupervised Learning of Depth and Depth-of-Field Effect from Natural Images with Aperture Rendering Generative Adversarial Networks


SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching

Few-shot Natural Language Generation for Task-Oriented Dialog

Data Augmentation for Spoken Language Understanding via Pretrained Language Models


My second place solution to the Higgs Boson Machine Learning Challenge

Learning Nonlinear Functions Using Regularized Greedy Forest

On the impact of selected modern deep-learning techniques to the performance and celerity of classification models in an experimental high-energy physics use case

Advanced Multi-Variate Analysis Methods for New Physics Searches at the Large Hadron Collider

Technical Report of Participation in Higgs Boson Machine Learning Challenge


PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

Momentum Contrast for Unsupervised Visual Representation Learning

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning


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


This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.

Algorithmic fairness datasets: the story so far

Learning disentangled representations in the imaging domain

Attribute-based regularization of latent spaces for variational auto-encoders

Disentangled Representation Learning

Transferring Fairness under Distribution Shifts via Fair Consistency
  Regularization

Concept Embedding Analysis: A Review

Equivariant Representation Learning via Class-Pose Decomposition

dMelodies: A Music Dataset for Disentanglement Learning

Lost in Latent Space: Disentangled Models and the Challenge of
  Combinatorial Generalisation

Robust Generative Restricted Kernel Machines using Weighted Conjugate Feature Duality


Bluetooth Low Energy Software Stack for Embedded Devices

Neighbor Discovery Latency in BLE-Like Protocols

Optimizing BLE-Like Neighbor Discovery

Slotless Protocols for Fast and Energy-Efficient Neighbor Discovery


Tools for mapping a sentence with arbitrary length to vector space

Neural sentence embedding models for semantic similarity estimation in the biomedical domain

CrystalNest at SemEval-2017 Task 4: Using Sarcasm Detection for Enhancing Sentiment Classification and Quantification

Meeting of the Association for Computational Linguistics

Computing Semantic Text Similarity Using Rich Features

Pacific Asia Conference on Language, Information, and Computation

Micro-Video Popularity Prediction Via Multimodal Variational Information Bottleneck


Implementation of the CheXNet network (PyTorch)

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Learning to Transfer Learn: Reinforcement Learning-Based Selection for Adaptive Transfer Learning

Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings,
  and Future Directions

Machine Learning for Exam Triage


Tools for accelerating safe exploration research.

Triple-Q: A Model-Free Algorithm for Constrained Reinforcement Learning with Sublinear Regret and Zero Constraint Violation

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

Actionable Guidance for High-Consequence AI Risk Management: Towards
  Standards Addressing AI Catastrophic Risks

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe
  Autonomous Driving

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks


Applied generative adversarial networks (GANs) to do anomaly detection for time series data

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT

Generative Optimization Networks for Memory Efficient Data Generation

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data


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

Neural Semantic Encoders

InferLite: Simple Universal Sentence Representations from Natural Language Inference Data

Empirical Methods in Natural Language Processing


Experiments with multimodal deep learning models based on transformers

Gated Multimodal Units for Information Fusion

Supervised Multimodal Bitransformers for Classifying Images and Text

Moviescope: Large-scale Analysis of Movies using Multiple Modalities

Multimodal Weighted Fusion of Transformers for Movie Genre Classification

Proceedings of the Third Workshop on Multimodal Artificial Intelligence


The implementation for the paper "Adversarial Supervised Contrastive Learning"

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

On Adaptive Attacks to Adversarial Example Defenses

Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training

Understanding and Achieving Efficient Robustness with Adversarial Supervised Contrastive Learning


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


Adversarial Continual Learning for Multi-Domain Hippocampal Segmentation

Incremental Learning Techniques for Semantic Segmentation

Importance Driven Continual Learning for Segmentation Across Domains


Microbiota Analysis in R Easily

Intestinal microbiota development and gestational age in preterm neonates

Chemotherapy-induced gastrointestinal toxicity is associated with changes in serum and urine metabolome and fecal microbiota in male Sprague–Dawley rats

Comparative analysis of vaginal microbiota sampling using 16S rRNA gene analysis

Colonic Mucosal Microbiota and Association of Bacterial Taxa with the Expression of Host Antimicrobial Peptides in Pediatric Ulcerative Colitis

Parity and gestational age are associated with vaginal microbiota composition in term and late term pregnancies

Randomised clinical trial: effect of low-FODMAP rye bread versus regular rye bread on the intestinal microbiota of irritable bowel syndrome patients: association with individual symptom variation

Colonic Gene Expression and Fecal Microbiota in Diarrhea-predominant Irritable Bowel Syndrome: Increased Toll-like Receptor 4 but Minimal Inflammation and no Response to Mesalazine

Journal of neurogastroenterology and motility

Quantitative Fecal Microbiota Profiles Relate to Therapy Response During Induction With Tumor Necrosis Factor α Antagonist Infliximab in Pediatric Inflammatory Bowel Disease

Fecal Bacteria Implicated in Biofilm Production Are Enriched and Associate to Gastrointestinal Symptoms in Patients With APECED – A Pilot Study

Sources of gut microbiota variation in a large longitudinal Finnish infant cohort


Datasets from CHES papers on random delays

Make Some Noise. Unleashing the Power of Convolutional Neural Networks for Profiled Side-channel Analysis

IACR transactions on cryptographic hardware and embedded systems

An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization

Towards Strengthening Deep Learning-based Side Channel Attacks with Mixup

Enhancing Time-Frequency Analysis with Zero-Mean Preprocessing


Bayesian inference for learning Tree Substitution Grammars

Stylometric Analysis of Scientific Articles

North American Chapter of the Association for Computational Linguistics

Native Tongues, Lost and Found: Resources and Empirical Evaluations in Native Language Identification

International Conference on Computational Linguistics

Explicit and Implicit Syntactic Features for Text Classification

NLI Shared Task 2013: MQ Submission

Workshop on Innovative Use of NLP for Building Educational Applications

Judging Grammaticality with Tree Substitution Grammar Derivations


Official implementation of "cmSalGAN: RGB-D Salient Object Detection with Cross-View Generative Adversarial Networks" (IEEE TMM 2020)

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks

PiCANet: Pixel-Wise Contextual Attention Learning for Accurate Saliency Detection


Python package to construct free energy profiles from biased molecular simulation data using both log-likelihood maximization and self-consistent iteration approaches.

Convergence and error estimation in free energy calculations using the weighted histogram analysis method

Theory of binless multi-state free energy estimation with applications to protein-ligand binding.

Reducing the Cost of Neural Network Potential Generation for Reactive Molecular Systems


Diffusion Model Based Posterior Sampling for Noisy Linear Inverse
  Problems

Quantized Compressed Sensing with Score-based Generative Models

QCM-SGM+: Improved Quantized Compressed Sensing With Score-Based
  Generative Models


Example data for R/qtl2

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Cleaning Genotype Data from Diversity Outbred Mice

Testing pleiotropy vs. separate QTL in multiparental populations

A generic hidden Markov model for multiparent populations


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

A Simple Framework for Contrastive Learning of Visual Representations

Supervised Contrastive Learning

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


Fpop implementation for robust losses

Changepoint Detection in the Presence of Outliers

An Evaluation of Change Point Detection Algorithms

In Datacenter Performance, The Only Constant Is Change

Scalable Bayesian change point detection with spike and slab priors

Multiscale Quantile Regression with Local Error Control


Eclipsing binary models

Centroid vetting of transiting planet candidates from the Next Generation Transit Survey

Monthly Notices of the Royal Astronomical Society

Four New Eclipsing Mid M-dwarf Systems from the New Luyten Two Tenths Catalog

Eclipsing Binaries in the Open Cluster Ruprecht 147. I. EPIC 219394517

Absolute Dimensions of the Eccentric Eclipsing Binary V541 Cygni

The Quadruple-lined, Doubly Eclipsing System V482 Persei

The complex dynamical past and future of double eclipsing binary CzeV343: Misaligned orbits and period resonance

A Low-mass, Pre-main-sequence Eclipsing Binary in the 40 Myr Columba
  Association -- Fundamental Stellar Parameters and Modeling the Effect of Star
  Spots


Link Prediction with Persistent Homology: An Interactive View

Neural Approximation of Graph Topological Features

Link Prediction without Graph Neural Networks


ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions

ReCU: Reviving the Dead Weights in Binary Neural Networks

Recurrent Bilinear Optimization for Binary Neural Networks

Resilient Binary Neural Network


Implementation of CarSNN:  An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphi

Decoupled Weight Decay Regularization

Spatio-Temporal Backpropagation for Training High-Performance Spiking Neural Networks

CarSNN: An Efficient Spiking Neural Network for Event-Based Autonomous Cars on the Loihi Neuromorphic Research Processor


Code for measuring bispectra from cosmological simulation snapshots

Accurate initial conditions for cosmological N-body simulations: minimizing truncation and discreteness errors

Monthly notices of the Royal Astronomical Society

A flexible modelling of galaxy assembly bias

Baryonic effects on the matter bispectrum

Simultaneous modelling of matter power spectrum and bispectrum in the presence of baryons

Three-point intrinsic alignments of dark matter haloes in the IllustrisTNG simulation

The halo bispectrum as a sensitive probe of massive neutrinos and baryon
  physics