Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Pre-trained models for natural language processing: A survey

ERNIE: Enhanced Representation through Knowledge Integration

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

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

UER: An Open-Source Toolkit for Pre-training Models

ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora

Correcting Chinese Spelling Errors with Phonetic Pre-training

Meeting of the Association for Computational Linguistics

Learning Adaptive Segmentation Policy for Simultaneous Translation

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

ERNIE-Doc: A Retrospective Long-Document Modeling Transformer

ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language Understanding


The Z3 Theorem Prover

Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs

IEEE Transactions on Software Engineering

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis

Smart Contract Security: A Software Lifecycle Perspective

Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

PhISCS - A Combinatorial Approach for Sub-perfect Tumor Phylogeny Reconstruction via Integrative use of Single Cell and Bulk Sequencing Data

SCNS: a graphical tool for reconstructing executable regulatory networks from single-cell genomic data

RustHorn: CHC-based Verification for Rust Programs

PROGRAMMING LANGUAGES AND SYSTEMS ( ESOP 2020)

PRISM-games 3.0: Stochastic Game Verification with Concurrency, Equilibria and Time

ICE-Based Refinement Type Discovery for Higher-Order Functional Programs

Tools and Algorithms for Construction and Analysis of Systems


Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

Salmon provides fast and bias-aware quantification of transcript expression

Alignment and mapping methodology influence transcript abundance estimation

A simple guide to de novo transcriptome assembly and annotation

Accelerating functional gene discovery in osteoarthritis

Improved data-driven likelihood factorizations for transcript abundance estimation

Developmentally regulated activation of defense allows for rapid inhibition of infection in age-related resistance to Phytophthora capsici in cucumber fruit

Principles of RNA recruitment to viral ribonucleoprotein condensates in a segmented dsRNA virus

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification

A highly expressed intestinal cysteine protease of Ancylostoma ceylanicum protects vaccinated hamsters from hookworm infection

Antennal transcriptome analysis of olfactory genes and tissue expression profiling of odorant binding proteins in Semanotus bifasciatus (cerambycidae: coleoptera)


Collection of common code that's shared among different research projects in FAIR computer vision team.

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Long-Short Transformer: Efficient Transformers for Language and Vision

SegViT: Semantic Segmentation with Plain Vision Transformers

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution

Webly Supervised Concept Expansion for General Purpose Vision Models

A Light Recipe to Train Robust Vision Transformers

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

Whisper-AT: Noise-Robust Automatic Speech Recognizers are Also Strong General Audio Event Taggers


The Unofficial TikTok API Wrapper In Python

#TulsaFlop: A Case Study of Algorithmically-Influenced Collective Action on TikTok

Investigating COVID-19 Vaccine Communication and Misinformation on TikTok: Cross-sectional Study

Will you dance to the challenge?

Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining

The Invasion of Ukraine Viewed through TikTok: A Dataset

Abortion Misinformation on TikTok: Rampant Content, Lax Moderation, and Vivid User Experiences

Tracking the 2024 US Presidential Election Chatter on Tiktok: A Public Multimodal Dataset


An adaptive and distributed-memory parallel implementation of the immersed boundary (IB) method

Hybrid finite difference/finite element immersed boundary method

Verification of cardiac mechanics software: benchmark problems and solutions for testing active and passive material behaviour

Proceedings. Mathematical, physical, and engineering sciences

Hydrodynamics of suspensions of passive and active rigid particles: a rigid multiblob approach

Communications in Applied Mathematics and Computational Science

A robust incompressible Navier-Stokes solver for high density ratio multiphase flows

A coupled mitral valve—left ventricle model with fluid–structure interaction

A DLM immersed boundary method based wave-structure interaction solver for high density ratio multiphase flows

An Immersed Boundary method with divergence-free velocity interpolation and force spreading

An immersed interface method for discrete surfaces

Simulating water-entry/exit problems using Eulerian–Lagrangian and fully-Eulerian fictitious domain methods within the open-source IBAMR library

IB2d: a Python and MATLAB implementation of the immersed boundary method

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


Free Public Transport Assistant without Ads or Tracking


A Rigorous Framework for Specification, Analysis and Enforcement of Access Control Policies

Semantically Enriched Data Access Policies in eHealth

An automated model-based test oracle for access control systems

International Conference/Workshop on Automation of Software Test

Implementation of Privacy and Security for a Genomic Information System Based on Standards

XACML for Mobility (XACML4M)—An Access Control Framework for Connected Vehicles

Content Privacy Enforcement Models in Decentralized Online Social Networks: State of Play, Solutions, Limitations, and Future Directions

XACML Extension for Graphs: Flexible Authorization Policy Specification and Datastore-Independent Enforcement


A C++ standalone library for machine learning

Rethinking Evaluation in ASR: Are Our Models Robust Enough?

SlimIPL: Language-Model-Free Iterative Pseudo-Labeling

Towards Building ASR Systems for the Next Billion Users

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

Flashlight: Enabling Innovation in Tools for Machine Learning

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

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

Star Temporal Classification: Sequence Classification with Partially Labeled Data


Datasets, tools, and benchmarks for representation learning of code.

Open Graph Benchmark: Datasets for Machine Learning on Graphs

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

GraphCodeBERT: Pre-training Code Representations with Data Flow

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models

An Empirical Study on the Usage of BERT Models for Code Completion

An Empirical Study on the Usage of Transformer Models for Code Completion

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Improving Code Summarization with Block-wise Abstract Syntax Tree Splitting

Are We Building on the Rock? On the Importance of Data Preprocessing for Code Summarization

StructCoder: Structure-Aware Transformer for Code Generation


Carbon-Aware SDK

A Testbed for Carbon-Aware Applications and Systems


The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Confident Learning: Estimating Uncertainty in Dataset Labels

Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Learning with Confident Examples: Rank Pruning for Robust Classification with Noisy Labels

Back to the Basics: Revisiting Out-of-Distribution Detection Baselines

Measuring Data

Detecting Label Errors in Token Classification Data

CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators

Identifying Incorrect Annotations in Multi-Label Classification Data

Unveiling Safety Vulnerabilities of Large Language Models

On Evaluation of Document Classification using RVL-CDIP


Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

Escaping Atom Types in Force Fields Using Direct Chemical Perception

Journal of chemical theory and computation

Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale

Journal of chemical information and modeling

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1


RISC-V Proxy Kernel

CURE: A Security Architecture with CUstomizable and Resilient Enclaves

Intelligent Security Monitoring System Based on RISC-V SoC

Lightweight Software-Defined Error Correction for Memories

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


Optimism is Ethereum, scaled.

Exploring Blockchain Technology through a Modular Lens: A Survey

Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution

Sequencer Level Security


Example applications using the wolfSSL lightweight SSL/TLS library

Guardian: Symbolic Validation of Orderliness in SGX Enclaves

EBF: A Hybrid Verification Tool for Finding Software Vulnerabilities in IoT Cryptographic Protocols.


Lime: Explaining the predictions of any machine learning classifier

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

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations

Local Rule-Based Explanations of Black Box Decision Systems

Explaining by Removing: A Unified Framework for Model Explanation

CXPlain: Causal Explanations for Model Interpretation under Uncertainty

Comparing Automatic and Human Evaluation of Local Explanations for Text Classification

North American Chapter of the Association for Computational Linguistics

Survey of Explainable AI Techniques in Healthcare

Explanations of model predictions with live and breakDown packages

Thinking about GPT-3 In-Context Learning for Biomedical IE? Think Again


Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Rasa: Open Source Language Understanding and Dialogue Management

Benchmarking Natural Language Understanding Services for building Conversational Agents

Few-shot Natural Language Generation for Task-Oriented Dialog

One Explanation Does Not Fit All: The Promise of Interactive Explanations for Machine Learning Transparency

A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering

Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU

Few-Shot Generalization Across Dialogue Tasks

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

Improving Access to Justice with Legal Chatbots


Zcash Improvement Proposals

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain for Cities—A Systematic Literature Review

Zero-knowledge proofs for set membership: efficient, succinct, modular

Privacy on the Blockchain: Unique Ring Signatures

ZETH: On Integrating Zerocash on Ethereum

Egalitarian computing

Close Latency--Security Trade-off for the Nakamoto Consensus

ZPiE: Zero-Knowledge Proofs in Embedded Systems

FORT: Right-Proving and Attribute-Blinding Self-Sovereign Authentication

Arion: Arithmetization-Oriented Permutation and Hashing from Generalized Triangular Dynamical Systems


Earth observation processing framework for machine learning in Python

Tree Species Mapping on Sentinel-2 Satellite Imagery with Weakly Supervised Classification and Object-Wise Sampling

APPLICATION OF TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR THE CLASSIFICATION OF CROPS ON SENTINEL-2 TIME SERIES

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

FASTENER Feature Selection for Inference from Earth Observation Data

A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA


Weather forecasting display and analysis package developed by NWS/Raytheon, released as open source software by Unidata.


A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reducing Activation Recomputation in Large Transformer Models

FP8 Formats for Deep Learning

Training Transformers with 4-bit Integers

Zamba: A Compact 7B SSM Hybrid Model

Comparative Study: Standalone IEEE 16-bit Floating-Point for Image Classification

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel
  Fusion

DistTrain: Addressing Model and Data Heterogeneity with Disaggregated
  Training for Multimodal Large Language Models

NeMo-Aligner: Scalable Toolkit for Efficient Model Alignment


A web privacy measurement framework

Browser Fingerprinting: A survey

Measuring third party tracker power across web and mobile

Variations in Tracking in Relation to Geographic Location

Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites

Exploiting Input Sanitization for Regex Denial of Service

Privacy-preserving targeted mobile advertising:A Blockchain-based framework for mobile ads

Mutual Hyperlinking Among Misinformation Peddlers

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

Under the Spotlight: Web Tracking in Indian Partisan News Websites

Differential Tracking Across Topical Webpages of Indian News Media


Leveraging BERT and c-TF-IDF to create easily interpretable topics.

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

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

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques

Characterizing Financial Market Coverage using Artificial Intelligence

Examining Temporal Bias in Abusive Language Detection

An NLP Approach for Extracting Practical Knowledge from a CMS-Based Community of Practice in E-Learning

Topic Modeling With Topological Data Analysis

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

An Empirical Study of Challenges in Machine Learning Asset Management


Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

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

pyannote.audio: neural building blocks for speaker diarization

TristouNet: Triplet Loss for Speaker Turn Embedding

Bayesian HMM clustering of x-vector sequences (VBx) in speaker diarization: theory, implementation and analysis on standard tasks

The Third DIHARD Diarization Challenge

Generative Spoken Dialogue Language Modeling

End-to-end Domain-Adversarial Voice Activity Detection

AVA-AVD: Audio-visual Speaker Diarization in the Wild

The ByteDance Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021

The DKU-DukeECE Diarization System for the VoxCeleb Speaker Recognition Challenge 2022


A machine learning software for extracting information from scholarly documents

CORD-19: The COVID-19 Open Research Dataset

Galactica: A Large Language Model for Science

S2ORC: The Semantic Scholar Open Research Corpus

CERMINE: automatic extraction of structured metadata from scientific literature

International Journal on Document Analysis and Recognition (IJDAR)

scite: A smart citation index that displays the context of citations and classifies their intent using deep learning

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Comparing published scientific journal articles to their pre-print versions

International Journal on Digital Libraries

The Semantic Scholar Open Data Platform

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

Progress in climate change adaptation research


Documentation of Bike Sharing APIs

Data-driven micromobility network planning for demand and safety


RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark

A First Look at the Crypto-Mining Malware Ecosystem: A Decade of Unrestricted Wealth

SoK: Cryptojacking Malware

Detection of Encrypted Cryptomining Malware Connections With Machine and Deep Learning

Dissecting Android Cryptocurrency Miners

PROCEEDINGS OF THE TENTH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY, CODASPY 2020

WebAssembly Diversification for Malware Evasion

Mining CryptoNight-Haven on the Varium C1100 Blockchain Accelerator Card


Marker Clustering plugin for Leaflet

A social media analytics platform visualising the spread of COVID-19 in Italy via exploitation of automatically geotagged tweets

Zenodo (CERN European Organization for Nuclear Research)

Understanding Public Opinions from Geosocial Media

ISPRS International Journal of Geo-Information

EpiMob: Interactive Visual Analytics of Citywide Human Mobility Restrictions for Epidemic Control

Viewing the Progression of the Novel Corona Virus (COVID-19) with NewsStand

HisVA: A Visual Analytics System for Studying History

Interactive Thematic Map as a Means of Documenting and Visualizing Information about Cultural Heritage Objects

Origin-Destination Data: a prototype and related scenarios

Revista Brasileira de Computação Aplicada

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


A chess library for Python, with move generation and validation, PGN parsing and writing, Polyglot opening book reading, Gaviota tablebase probing, Syzygy tablebase probing, and UCI/XBoard engine communication

Chess as a Testbed for Language Model State Tracking

The Chess Transformer: Mastering Play using Generative Language Models

ChessGPT: Bridging Policy Learning and Language Modeling

SentiMATE: Learning to play Chess through Natural Language Processing

Improved Reinforcement Learning with Curriculum

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network


Confidential Consortium Framework

CCF: A Framework for Building Confidential Verifiable Replicated Services

AMP: Authentication of Media via Provenance

Preventing Machine Learning Poisoning Attacks Using Authentication and Provenance

Understanding TEE Containers, Easy to Use? Hard to Trust

Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability

IA-CCF: Individual Accountability for Permissioned Ledgers

RZcoin: Ethereum-Based Decentralized Payment with Optional Privacy Service

Vronicle: A System for Producing Videos with Verifiable Provenance

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


Emoji for everyone. https://twemoji.twitter.com/

Recipes for Safety in Open-domain Chatbots

Bot-Adversarial Dialogue for Safe Conversational Agents

Telemedicine in Heart Failure During COVID-19: A Step Into the Future

Boomerang: Redundancy Improves Latency and Throughput in Payment-Channel Networks

The nature of conflict in community pharmacy – A pilot study of pharmacists’ experiences during the COVID-19 pandemic

Research in social & administrative pharmacy : RSAP

StarVector: Generating Scalable Vector Graphics Code from Images

SVGEditBench: A Benchmark Dataset for Quantitative Assessment of LLM's
  SVG Editing Capabilities


The Open Modeling Framework for smart grid cost-benefit analysis.

Identifying Secure Operating Ranges for DER Control Using Bilevel Optimization


MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

Multimodal Neuroimaging-Informed Clinical Applications in Neuropsychiatric Disorders

The effect of CSF drain on the optic nerve in idiopathic intracranial hypertension

Infants’ cortex undergoes microstructural growth coupled with myelination during development

Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder

D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data

T2-Pseudonormalization and Microstructural Characterization in Advanced Stages of Late-infantile Metachromatic Leukodystrophy

Structural Connectivity Analysis in Children with Segmental Callosal Agenesis

Relationships between the integrity and function of lumbar nerve roots as assessed by diffusion tensor imaging and neurophysiology


Apache Commons Math

A Closer Look at Real-World Patches

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME)

Defect Prediction Guided Search-Based Software Testing

International Conference on Automated Software Engineering

Smoke testing for machine learning: simple tests to discover severe bugs

An Initial Step Towards Organ Transplantation Based on GitHub Repository

Exploring ChatGPT's Capabilities on Vulnerability Management

An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles

Java JIT Testing with Template Extraction

Automated Self-Admitted Technical Debt Tracking at Commit-Level: A Language-independent Approach


Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) - descriptive statistics about a OMOP CDM database

Towards Implementation of OMOP in a German University Hospital Consortium

Increasing trust in real-world evidence through evaluation of observational data quality

A new paradigm for accelerating clinical data science at Stanford Medicine

The natural history of symptomatic COVID-19 during the first wave in Catalonia

A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks

eGEMs (Generating Evidence & Methods to improve patient outcomes)

The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths among 5,627,520 people

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository

Learning important common data elements from shared study data: The All of Us program analysis

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation


TensorLy: Tensor Learning in Python.

CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection

Spectral Learning on Matrices and Tensors

Foundations and Trends® in Machine Learning

TensorLy: Tensor Learning in Python

Tensor Regression

TensorShield: Tensor-based Defense Against Adversarial Attacks on Images

Blind Source Separation for NMR Spectra with Negative Intensity


Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Stanza: A Python Natural Language Processing Toolkit for Many Human Languages

Biomedical and clinical English model packages for the Stanza Python NLP library

Syntax-Enhanced Pre-trained Model

Facilitating Terminology Translation with Target Lemma Annotations

Unsupervised Cross-Lingual Part-of-Speech Tagging for Truly Low-Resource Scenarios

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

Biomedical and Clinical English Model Packages in the Stanza Python NLP Library

pysentimiento: A Python Toolkit for Opinion Mining and Social NLP tasks

Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities

Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network

Ensembling Graph Predictions for AMR Parsing


Image-to-Image Translation in PyTorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Strong-Weak Distribution Alignment for Adaptive Object Detection

Deep MR to CT Synthesis using Unpaired Data

Democratising deep learning for microscopy with ZeroCostDL4Mic

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

On Data Augmentation for GAN Training

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

Detecting GAN generated Fake Images using Co-occurrence Matrices

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Dual Contrastive Learning for Unsupervised Image-to-Image Translation


Reference implementations of MLPerf™ training benchmarks

MLPerf Inference Benchmark

MLPerf Training Benchmark

BigDL: A Distributed Deep Learning Framework for Big Data

Loss Aware Post-training Quantization

Large-Batch Training for LSTM and Beyond

Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training

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

Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity

Scalable Realistic Recommendation Datasets through Fractal Expansions

Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance


Simulation of spiking neural networks (SNNs) using PyTorch.

BindsNET: A Machine Learning-Oriented Spiking Neural Networks Library in Python

Improved robustness of reinforcement learning policies upon conversion to spiking neuronal network platforms applied to ATARI games

Lattice Map Spiking Neural Networks (LM-SNNs) for Clustering and Classifying Image Data

Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey

EvtSNN: Event-driven SNN simulator optimized by population and pre-filtering

Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation


Fiona reads and writes geographic data files

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

Trackintel: An open-source Python library for human mobility analysis

A WEBGIS FRAMEWORK FOR SEMI-AUTOMATED GEODATABASE UPDATING ASSISTED BY DEEP LEARNING

Using Open-Access Data to Explore Relations between Urban Landscapes and Diarrhoeal Diseases in Côte d’Ivoire

International journal of environmental research and public health

Python for Smarter Cities: Comparison of Python libraries for static and interactive visualisations of large vector data


SonarQube C++ Community plugin (cxx plugin): This plugin adds C++ support to SonarQube with the focus on integration of existing C++ tools.

Efficient Feature Selection for Static Analysis Vulnerability Prediction

Long-Term Evaluation of Technical Debt in Open-Source Software

A Study of Maintainability in Evolving Open-Source Software


BART: Toolbox for Computational Magnetic Resonance Imaging

Highly Scalable Image Reconstruction using Deep Neural Networks with Bandpass Filtering

SURE-based Automatic Parameter Selection For ESPIRiT Calibration

Deep, Deep Learning with BART


A high performance caching library for Java

Randomized Admission Policy for Efficient Top-k and Frequency Estimation

HUGE: An Efficient and Scalable Subgraph Enumeration System

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

SALSA: Self-Adjusting Lean Streaming Analytics

Understanding Application-Level Caching in Web Applications

Automation of application-level caching in a seamless way

Learning Future Reference Patterns for Efficient Cache Replacement Decisions

On the Power of False Negative Awareness in Indicator-based Caching Systems

Self-adjusting Advertisement of Cache Indicators with Bandwidth Constraints

A comparative study of application-level caching recommendations at the method level


IPython Parallel: Interactive Parallel Computing in Python

Parsl: Pervasive Parallel Programming in Python

IEEE International Symposium on High-Performance Parallel Distributed Computing

A parallel global multiobjective framework for optimization: pagmo

ELFI: Engine for Likelihood-Free Inference

Data Engineering for HPC with Python

Conformal Predictors for Compound Activity Prediction

Pyxel: the collaborative detection simulation framework


Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser

Lotus Base: An integrated information portal for the model legume Lotus japonicus

Categorizing the Content of GitHub README Files

Converting Basic D3 Charts into Reusable Style Templates

Designing and defining dynamic protein cage nanoassemblies in solution

A Search for Improved Performance in Regular Expressions

PoSSuM v.2.0: data update and a new function for investigating ligand analogs and target proteins of small-molecule drugs

Understanding Public Opinions from Geosocial Media

TissUUmaps 3: Improvements in interactive visualization, exploration, and quality assessment of large-scale spatial omics data

Innovative Visualizations Shed Light on Avian Nocturnal Migration


CV32E40P is an in-order 4-stage RISC-V RV32IMFCXpulp CPU based on RI5CY from PULP-Platform

PULP-NN: accelerating quantized neural networks on parallel ultra-low-power RISC-V processors

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

FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing

A Survey of the RISC-V Architecture Software Support

Dustin: A 16-Cores Parallel Ultra-Low-Power Cluster With 2b-to-32b Fully Flexible Bit-Precision and Vector Lockstep Execution Mode

Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes

Pointing in the Right Direction - Securing Memory Accesses in a Faulty World

Asia-Pacific Computer Systems Architecture Conference

ControlPULP: A RISC-V On-Chip Parallel Power Controller for Many-Core HPC Processors with FPGA-Based Hardware-In-The-Loop Power and Thermal Emulation

A Heterogeneous RISC-V Based SoC for Secure Nano-UAV Navigation

MAFIA: Protecting the Microarchitecture of Embedded Systems Against Fault Injection Attacks

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


Low-precision matrix multiplication

TensorFlow: A system for large-scale machine learning

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Quantizing deep convolutional networks for efficient inference: A whitepaper

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

Scalable Methods for 8-bit Training of Neural Networks

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

DeepShift: Towards Multiplication-Less Neural Networks

Freely scalable and reconfigurable optical hardware for deep learning

Inference of quantized neural networks on heterogeneous all-programmable devices

PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)

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


Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc

Wasmati: An efficient static vulnerability scanner for WebAssembly

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation

DeepVulSeeker: A Novel Vulnerability Identification Framework via Code Graph Structure and Pre-training Mechanism

Boosting Code Summarization by Embedding Code Structures

International Conference on Computational Linguistics

Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages

A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis

Learning Type Inference for Enhanced Dataflow Analysis

Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors

Learning to Extend Program Graphs to Work-in-Progress Code

Representing LLVM-IR in a Code Property Graph


NeuralProphet: A simple forecasting package

Forecasting: theory and practice

NeuralProphet: Explainable Forecasting at Scale

AR-Net: A simple Auto-Regressive Neural Network for time-series

Boosted Embeddings for Time Series Forecasting


A modular embodied agent architecture and platform for building embodied agents

Navigating to Objects in the Real World

Structured World Models from Human Videos

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Toward Grounded Commonsense Reasoning

droidlet: modular, heterogenous, multi-modal agents


igraph R package

Breast tumor microenvironment structures are associated with genomic features and clinical outcome

Single-cell Transcriptome Profiling reveals Dermal and Epithelial cell fate decisions during Embryonic Hair Follicle Development

Research Front Detection and Topic Evolution Based on Topological Structure and the PageRank Algorithm

Identification of putative enhancer-like elements predicts regulatory networks active in planarian adult stem cells

Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens


SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Sequential Model-Based Optimization for General Algorithm Configuration

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

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

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

NAS-Bench-101: Towards Reproducible Neural Architecture Search

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

Benchmark and Survey of Automated Machine Learning Frameworks

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges


Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

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

Achieving Human Parity in Conversational Speech Recognition

The Microsoft 2017 Conversational Speech Recognition System

CNTK: Microsoft's Open-Source Deep-Learning Toolkit

The Microsoft 2016 Conversational Speech Recognition System

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

A First Look at Deep Learning Apps on Smartphones

Medical image analysis based on deep learning approach


Performance monitoring and benchmarking suite

A Recursive Algebraic Coloring Technique for Hardware-efficient Symmetric Sparse Matrix-vector Multiplication

Fast Matrix-Free Evaluation of Discontinuous Galerkin Finite Element Operators

ACM Transactions on Mathematical Software

Multidimensional Intratile Parallelization for Memory-Starved Stencil Computations

FECBench: A Holistic Interference-aware Approach for Application Performance Modeling

Execution‐Cache‐Memory modeling and performance tuning of sparse matrix‐vector multiplication and Lattice quantum chromodynamics on A64FX

Understanding HPC Benchmark Performance on Intel Broadwell and Cascade Lake Processors

Memory Performance of AMD EPYC Rome and Intel Cascade Lake SP Server Processors

Proceedings of the 2022 ACM/SPEC on International Conference on Performance Engineering

Textbook efficiency: massively parallel matrix-free multigrid for the Stokes system

RanStop: A Hardware-assisted Runtime Crypto-Ransomware Detection Technique

A Hermite-like basis for faster matrix-free evaluation of interior penalty discontinuous Galerkin operators


Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest Neighbor Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search

Worst-case Performance of Popular Approximate Nearest Neighbor Search Implementations: Guarantees and Limitations

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment

Proceedings of the ACM on Management of Data

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings
  and Structured Data

Locally-Adaptive Quantization for Streaming Vector Search

LeanVec: Searching vectors faster by making them fit

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph Index using Query-sensitivity Entry Vertex


Meaningful control of data in distributed systems.

WeSee: Using Malicious #VC Interrupts to Break AMD SEV-SNP

Understanding TEE Containers, Easy to Use? Hard to Trust

Private Federated Learning in Gboard

Bring the BitCODE-Moving Compute and Data in Distributed Heterogeneous Systems

IEEE International Conference on Cluster Computing

Open Problems in Technical AI Governance


Prototype implementation of IOTA 2.0

Towards a Blockchain-Based Multi-UAV Surveillance System

Access Control for Distributed Ledgers in the Internet of Things: A Networking Approach

Impact of delay classes on the data structure in IOTA

HybridChain: Fast, Accurate, and Secure Transaction Processing With Distributed Learning

The security of the Coordicide: the implementation and analysis of possible attack vectors


Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

SGX-LKL: Securing the Host OS Interface for Trusted Execution

Practical Enclave Malware with Intel SGX

STACCO: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves

Conference on Computer and Communications Security

EUROSEC - TrustJS: Trusted Client-side Execution of JavaScript

Proceedings of the 10th European Workshop on Systems Security

Security, Performance and Energy Trade-Offs of Hardware-Assisted Memory Protection Mechanisms

Symposium on Reliable Distributed Systems

SmashEx: Smashing SGX Enclaves Using Exceptions

Dynamic Binary Translation for SGX Enclaves

Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments

SGX Switchless Calls Made Configless


The PubSub implementation for go-libp2p

GossipSub: Attack-Resilient Message Propagation in the Filecoin and ETH2.0 Networks

PnyxDB: a Lightweight Leaderless Democratic Byzantine Fault Tolerant Replicated Datastore

Formal Model-Driven Analysis of Resilience of GossipSub to Attacks from Misbehaving Peers

Verification of GossipSub in ACL2s

International Workshop on the ACL2 Theorem Prover and Its Applications


TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

TorchGeo: Deep Learning With Geospatial Data

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE Geoscience and Remote Sensing Magazine

Supervising Remote Sensing Change Detection Models with 3D Surface Semantics

Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters


IntelliJ IDEA Community Edition & IntelliJ Platform

Does Technical Debt Lead to the Rejection of Pull Requests?

Authorship Attribution of Source Code: A Language-Agnostic Approach and Applicability in Software Engineering

On tracking Java methods with Git mechanisms

The Strengths and Behavioral Quirks of Java Bytecode Decompilers

RefactorInsight: Enhancing IDE Representation of Changes in Git with Refactorings Information

Building Implicit Vector Representations of Individual Coding Style

Improving Testing Behavior by Gamifying IntelliJ

Together We Go Further: LLMs and IDE Static Analysis for Extract Method
  Refactoring

Semantics-driven extraction of timed automata from Java programs

Visualization of Methods Changeability Based on VCS Data


Embeddable genomic visualization component based on the Integrative Genomics Viewer

UALCAN: An update to the integrated cancer data analysis platform

CeNDR, the Caenorhabditis elegans natural diversity resource

igv.js: an embeddable JavaScript implementation of the Integrative Genomics Viewer (IGV)

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

T1TAdb: the database of Type I Toxin-Antitoxin systems

proChIPdb: a chromatin immunoprecipitation database for prokaryotic organisms

Visualization tools for human structural variations identified by whole-genome sequencing

Ten simple rules for researchers who want to develop web apps

Comparative assessment of long-read error-correction software applied to RNA-sequencing data

Multi Locus View: an extensible web-based tool for the analysis of genomic data.


The electronic structure package for quantum computers.

Quantum logic with spin qubits crossing the surface code threshold

A Quantum Computing View on Unitary Coupled Cluster Theory

A Language and Hardware Independent Approach to Quantum-Classical Computing

Full-Stack Quantum Software in Practice: Ecosystem, Stakeholders and Challenges


Universal grid map library for mobile robotic mapping

Robotic Precision Harvesting: Mapping, Localization, Planning and Control for a Legged Tree Harvester

Combined Sampling and Optimization Based Planning for Legged-Wheeled Robots

Towards Autonomous Robotic Precision Harvesting.


Mapnik is an open source toolkit for developing mapping applications

Map Generation from Large Scale Incomplete and Inaccurate Data Labels

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling

ISPRS International Journal of Geo-Information

Good practices for clinical data warehouse implementation: A case study in France

Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation


The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.

Towards a Security Stress-Test for Cloud Configurations

Empirical Study of the Docker Smells Impact on the Image Size

Parfum: Detection and Automatic Repair of Dockerfile Smells


SCION Internet Architecture

Carbon-Intelligent Global Routing in Path-Aware Networks

Leveraging the SCION Internet Architecture to Accelerate File Transfers over BitTorrent


FlexFlow Serve: Low-Latency, High-Performance LLM Serving

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

SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification

Understanding LLMs: A Comprehensive Overview from Training to Inference

Minions: Accelerating Large Language Model Inference with Adaptive and
  Collective Speculative Decoding

FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning


The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Comparison of Different Control Theories on a Two Wheeled Self Balancing Robot

Koopman-Assisted Reinforcement Learning

Advanced Lecture for PID Controller of Nonlinear System in Python

The International Journal of Recent Technology and Engineering (IJRTE)


Pangolin is a lightweight portable rapid development library for managing OpenGL display / interaction and abstracting video input.

DexPilot: Vision Based Teleoperation of Dexterous Robotic Hand-Arm System

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM

Deep Patch Visual Odometry

cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing

PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18)

Characterization and modeling of an edge computing mixed reality workload

Journal of Cloud Computing Advances Systems and Applications

Variant Analysis and Strategic Clustering to Sub-Lineage of Double Mutant Strain B.1.617 of SARS-CoV-2


Java interface to OpenCV, FFmpeg, and more

ImageJ2: ImageJ for the next generation of scientific image data

Small Animal Video Tracking for Activity and Path Analysis Using a Novel Open-Source Multi-Platform Application (AnimApp)

LEAF + AIO: Edge-Assisted Energy-Aware Object Detection for Mobile Augmented Reality

Study of the Rolling Friction Coefficient between Dissimilar Materials through the Motion of a Conical Pendulum

IndoorCare: Low-Cost Elderly Activity Monitoring System through Image Processing

DenTiUS Plaque, a Web-Based Application for the Quantification of Bacterial Plaque: Development and Usability Study

An approach to vision-based localisation with binary features for partially sighted people

DiFace: A Face-based Video Retrieval System with Distributed Computing

American Journal of Systems and Software


Turi Create simplifies the development of custom machine learning models.

Screen Recognition: Creating Accessibility Metadata for Mobile Applications from Pixels

HybridSVD: When Collaborative Information is Not Enough

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Ten Quick Tips for Deep Learning in Biology

Designing and Evaluating the Usability of a Machine Learning API for Rapid Prototyping Music Technology

A Lightweight Approach to Localization for Blind and Visually Impaired Travelers

On Variational Inference for User Modeling in Attribute-Driven Collaborative Filtering

Variational Inference for Category Recommendation in E-Commerce platforms


Light-weight, simple and fast XML parser for C++ with XPath support

PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems

Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations

Phoebe: a collection of Phonon and Electron Boltzmann Equation solvers

When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition


A flexible, high-performance 3D simulator for Embodied AI research.

Habitat: A Platform for Embodied AI Research

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

Occupancy Anticipation for Efficient Exploration and Navigation

A Survey on Human-aware Robot Navigation

Habitat 3.0: A Co-Habitat for Humans, Avatars and Robots

SoundSpaces 2.0: A Simulation Platform for Visual-Acoustic Learning

Multi-skill Mobile Manipulation for Object Rearrangement

Learning Navigational Visual Representations with Semantic Map Supervision

Map-merging Algorithms for Visual SLAM: Feasibility Study and Empirical Evaluation

Learning with a Mole: Transferable latent spatial representations for navigation without reconstruction


A non-validating SQL parser module for Python

Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Smelly Relations: Measuring and Understanding Database Schema Quality

International Conference on Software Engineering

SQLCheck: Automated Detection and Diagnosis of SQL Anti-Patterns

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Spinner: Automated Dynamic Command Subsystem Perturbation

Byte-Pair Encoding for Text-to-SQL Generation


Caffe2 is a lightweight, modular, and scalable deep learning framework.

Feature Pyramid Networks for Object Detection

MMDetection: Open MMLab Detection Toolbox and Benchmark

A First Look at Deep Learning Apps on Smartphones

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

swCaffe: a Parallel Framework for Accelerating Deep Learning Applications on Sunway TaihuLight

Robustness of on-device Models: Adversarial Attack to Deep Learning Models on Android Apps

Enabling Cooperative Inference of Deep Learning on Wearables and Smartphones.

What does fault tolerant Deep Learning need from MPI?

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


Exploring the Neural Algorithm of Artistic Style

GaDei: On Scale-up Training As A Service For Deep Learning

Efficient Training of Convolutional Neural Nets on Large Distributed Systems


paho.mqtt.python

MUP: Simplifying Secure Over-The-Air Update with MQTT for Constrained IoT Devices

Protocol State Machine Reverse Engineering with a Teaching-Learning Approach


Software synthesizer based on the SoundFont 2 specifications

Foley Music: Learning to Generate Music from Videos

ERNIE-Music: Text-to-Waveform Music Generation with Diffusion Models

Video Background Music Generation: Dataset, Method and Evaluation

Downbeat Tracking with Tempo-Invariant Convolutional Neural Networks

MidiCaps: A large-scale MIDI dataset with text captions


A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning

Predicting Heart Cell Types by Using Transcriptome Profiles and a Machine Learning Method

Identification of Genes Associated with the Impairment of Olfactory and Gustatory Functions in COVID-19 via Machine-Learning Methods

Development and validation of a difficult laryngoscopy prediction model using machine learning of neck circumference and thyromental height

ImVerde: Vertex-Diminished Random Walk for Learning Imbalanced Network Representation

Pendekatan Resampling Data Untuk Menangani Masalah Ketidakseimbangan Kelas

Identifying MicroRNA Markers That Predict COVID-19 Severity Using Machine Learning Methods

System Design for a Data-Driven and Explainable Customer Sentiment Monitor Using IoT and Enterprise Data

Identifying Methylation Signatures and Rules for COVID-19 With Machine Learning Methods

Detection of Reading Absorption in User-Generated Book Reviews: Resources Creation and Evaluation

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


Julia software for fast, friendly, flexible, ocean-flavored fluid dynamics on CPUs and GPUs

Uncertainty quantification of ocean parameterizations: application to the K-Profile-Parameterization for penetrative convection

Journal of Advances in Modeling Earth Systems

Near-inertial waves and turbulence driven by the growth of swell


A benchmark framework for Tensorflow

Natural Compression for Distributed Deep Learning

MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms

A Modular Benchmarking Infrastructure for High-Performance and Reproducible Deep Learning

CROSSBOW: Scaling Deep Learning with Small Batch Sizes on Multi-GPU Servers

Scalable Distributed DNN Training using TensorFlow and CUDA-Aware MPI: Characterization, Designs, and Performance Evaluation

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

MG-WFBP: Merging Gradients Wisely for Efficient Communication in Distributed Deep Learning

Hoard: A Distributed Data Caching System to Accelerate Deep Learning Training on the Cloud

NetReduce: RDMA-Compatible In-Network Reduction for Distributed DNN Training Acceleration

A GPU Scheduling Framework to Accelerate Hyper-Parameter Optimization in Deep Learning Clusters

Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services

2022 IEEE International Conference on Cloud Engineering (IC2E)


An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

Towards Total Recall in Industrial Anomaly Detection

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

DRAEM -- A discriminatively trained reconstruction embedding for surface anomaly detection

CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows

Anomaly Detection via Reverse Distillation from One-Class Embedding

FastFlow: Unsupervised Anomaly Detection and Localization via 2D Normalizing Flows

Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection

Student-Teacher Feature Pyramid Matching for Anomaly Detection

CFA: Coupled-Hypersphere-Based Feature Adaptation for Target-Oriented Anomaly Localization


code for reading and processing Allen Institute for Brain Science data

Regional, Layer, and Cell-Type-Specific Connectivity of the Mouse Default Mode Network

Gradients of functional connectivity in the mouse cortex reflect neocortical evolution

Learning from unexpected events in the neocortical microcircuit

Mouse visual cortex as a limited resource system that self-learns an ecologically-general representation

Uncovering the Connectivity Logic of the Ventral Tegmental Area

Neocortical layer 4 in adult mouse differs in major cell types and circuit organization between primary sensory areas

Decontaminate Traces From Fluorescence Calcium Imaging Videos Using Targeted Non-negative Matrix Factorization

Sharing Neurophysiology Data from the Allen Brain Observatory: Lessons Learned


mimalloc is a compact general purpose allocator with excellent performance.

An analysis of concurrency control protocols for in-memory databases with CCBench

Flock: A Low-Cost Streaming Query Engine on FaaS Platforms

DuckDB-SGX2: The Good, The Bad and The Ugly within Confidential Analytical Query Processing

International Workshop on Data Management on New Hardware

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


Open source implementation of OPC UA (OPC Unified Architecture) aka IEC 62541 licensed under Mozilla Public License v2.0

Timely Survey of Time-Sensitive Networking: Past and Future Directions

A Service-Oriented Real-Time Communication Scheme for AUTOSAR Adaptive Using OPC UA and Time-Sensitive Networking

Improving OPC UA Publish-Subscribe Mechanism over UDP with Synchronization Algorithm and Multithreading Broker Application

OPC UA Publish-Subscribe and VSOME/IP Notify-Subscribe Based Gateway Application in the Context of Car to Infrastructure Communication

Approaching OPC UA Publish–Subscribe in the Context of UDP-Based Multi-Channel Communication and Image Transmission

An Aggregated Data Integration Approach to the Web and Cloud Platforms through a Modular REST-Based OPC UA Middleware

Vulnerabilities of the Open Platform Communication Unified Architecture Protocol in Industrial Internet of Things Operation


Development version of plumed 2

Rational design of ASCT2 inhibitors using an integrated experimental-computational approach

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

Finding multiple reaction pathways of ligand unbinding

Iterative unbiasing of quasi-equilibrium sampling

Zinc binding alters the conformational dynamics and drives the transport cycle of the cation diffusion facilitator YiiP

Implementing dimer metadynamics using gromacs

A thermodynamic investigation of amyloid precursor protein processing by human γ-secretase

Data-driven path collective variables

Hydrogen Diffusion in the Lower Mantle Revealed by Machine Learning Potentials

Good Rates From Bad Coordinates: The Exponential Average Time-dependent Rate Approach


header only, dependency-free deep learning framework in C++14

Practical recommendations for gradient-based training of deep architectures

Joint Optimization of Service Caching Placement and Computation Offloading in Mobile Edge Computing Systems

Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing

Eyes of Things

A JIT Compiler for Neural Network Inference

ARXON: A Framework for Approximate Communication over Photonic Networks-on-Chip

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

Improving all-reduce collective operations for imbalanced process arrival patterns

Leveraging the Channel as a Sensor: Real-time Vehicle Classification Using Multidimensional Radio-fingerprinting

International Conference on Intelligent Transportation Systems

Efficient Cloth Simulation using Miniature Cloth and Upscaling Deep Neural Networks


PyTorch extensions for high performance and large scale training.

On the Opportunities and Risks of Foundation Models

Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

Beyond English-Centric Multilingual Machine Translation

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

InCoder: A Generative Model for Code Infilling and Synthesis

Efficient Large Scale Language Modeling with Mixtures of Experts

ZeRO-Offload: Democratizing Billion-Scale Model Training

A Cookbook of Self-Supervised Learning


XLS: Accelerated HW Synthesis

A General Purpose Transpiler for Fully Homomorphic Encryption

ChipGPT: How far are we from natural language hardware design


A large scale non-linear optimization library

Omni-Swarm: A Decentralized Omnidirectional Visual–Inertial–UWB State Estimation System for Aerial Swarms

Exploring Event Camera-based Odometry for Planetary Robots

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

From the desks of ROS maintainers: A survey of modern & capable mobile robotics algorithms in the robot operating system 2

Contour Context: Abstract Structural Distribution for 3D LiDAR Loop Detection and Metric Pose Estimation

Edge-Based Monocular Thermal-Inertial Odometry in Visually Degraded Environments

A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance

Coarse-to-Fine Hybrid 3D Mapping System With Co-Calibrated Omnidirectional Camera and Non-Repetitive LiDAR

External Camera-based Mobile Robot Pose Estimation for Collaborative Perception with Smart Edge Sensors

A precise determination of the strong-coupling constant from the recoil of Z bosons with the ATLAS experiment at √(s) = 8 TeV


Reverse engineering framework in Python

Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis

Automated Deobfuscation of Android Native Binary Code

Technical Report: Hardening Code Obfuscation Against Automated Attacks


Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

TensorFlow: A system for large-scale machine learning

Deep Learning in Bioinformatics

Gradient Sparsification for Communication-Efficient Distributed Optimization

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

Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks

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

Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

CANDLE/Supervisor: a workflow framework for machine learning applied to cancer research

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe


An open library for the analysis of molecular dynamics trajectories

MDTraj: a modern, open library for the analysis of molecular dynamics trajectories

Enhancing Sampling of Water Rehydration on Ligand Binding: A Comparison of Techniques

Development of a coarse-grained water forcefield via multistate iterative Boltzmann inversion

Structural basis of antibody inhibition and chemokine activation of the human CC chemokine receptor 8

Computational generation of proteins with predetermined three-dimensional shapes using ProteinSolver

The nepenthesin insert in the Plasmodium falciparum aspartic protease plasmepsin V is necessary for enzyme function


YOLOv6: a single-stage object detection framework dedicated to industrial applications.

YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications

YOLOv6 v3.0: A Full-Scale Reloading

A Systematic Review of Drone Based Road Traffic Monitoring System

EfficientRep:An Efficient Repvgg-style ConvNets with Hardware-aware Neural Network Design

Evaluation of YOLO Object Detectors for Weed Detection in Different Turfgrass Scenarios

A Novel YOLOv6 Object Detector for Monitoring Piling Behavior of Cage-Free Laying Hens

Fast and Non-Destructive Quail Egg Freshness Assessment Using a Thermal Camera and Deep Learning-Based Air Cell Detection Algorithms for the Revalidation of the Expiration Date of Eggs

Eye Recognition by YOLO for Inner Canthus Temperature Detection in the Elderly Using a Transfer Learning Approach

Intelligent Evaluation Method of Human Cervical Vertebra Rehabilitation Based on Computer Vision

Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review


CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security

Large Language Models for Code: Security Hardening and Adversarial Testing

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

CodePlan: Repository-level Coding using LLMs and Planning

Why Crypto-detectors Fail: A Systematic Evaluation of Cryptographic Misuse Detection Techniques

Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning?

Wasmati: An efficient static vulnerability scanner for WebAssembly

Beware of the Unexpected: Bimodal Taint Analysis

Stubbifier: debloating dynamic server-side JavaScript applications

npm-filter: Automating the mining of dynamic information from npm packages

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks

Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages


Shared data types for building collaborative software

Real-time collaborative multi-level modeling by conflict-free replicated data types

Tackling Consistency-related Design Challenges of Distributed Data-Intensive Systems

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

The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing

For-Each Operations in Collaborative Apps


Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Dimensionality Reduction Meets Message Passing for Graph Node Embeddings

DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies

Deep learning and support vector machines for transcription start site identification

Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment


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

A configurable method for benchmarking scalability of cloud-native applications

Cloud Native Privacy Engineering through DevPrivOps

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

Measuring the Business Value of Infrastructure Migration to the Cloud

Palgrave studies in digital business & enabling technologies

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

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

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

Application Layer Cyber Deception without Developer Interaction


Optimization functions for Julia

Variational quantum circuits for quantum state tomography

Variational formulation for Wannier functions with entangled band structure

DRSOM: A Dimension Reduced Second-Order Method

ITSO: A novel Inverse Transform Sampling-based Optimization algorithm for stochastic search

Parametric and Non-parametric Gradient Matching for Network Inference

Robust and stochastic compliance-based topology optimization with finitely many loading scenarios

A consistently adaptive trust-region method

Alternating cyclic extrapolation methods for optimization algorithms

Approximation schemes for stochastic compliance-based topology optimization with many loading scenarios


Neuroimaging analysis and visualization suite

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

An open-source tool for longitudinal whole-brain and white matter lesion segmentation

The Rio Hortega University Hospital Glioblastoma dataset: a comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM)

Atypical cortical processing of bottom-up speech binding cues in children with autism spectrum disorders

Impact of repeated blast exposure on active-duty United States Special Operations Forces


Large Language Model Text Generation Inference

QLoRA: Efficient Finetuning of Quantized LLMs

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

A Watermark for Large Language Models

Large Language Models: A Survey

Splitwise: Efficient generative LLM inference using phase splitting

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

SpecInfer: Accelerating Large Language Model Serving with Tree-based Speculative Inference and Verification

Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions

Mobile-Env: Building Qualified Evaluation Benchmarks for LLM-GUI Interaction

A Survey of Time Series Foundation Models: Generalizing Time Series
  Representation with Large Language Model


Automated Machine Learning with scikit-learn

Efficient and Robust Automated Machine Learning

Automated Machine Learning

The Springer series on challenges in machine learning

Ten quick tips for machine learning in computational biology

Benchmark and Survey of Automated Machine Learning Frameworks

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

AutoML to Date and Beyond: Challenges and Opportunities

Machine-learning-based diagnostics of EEG pathology

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

Well-tuned Simple Nets Excel on Tabular Datasets

Benchmarking Automatic Machine Learning Frameworks


Members of the United States Congress, 1789-Present, in YAML/JSON/CSV, as well as committees, presidents, and vice presidents.

Diagnosing Gender Bias in Image Recognition Systems

Socius Sociological Research for a Dynamic World

Mask-Wearing as a Partisan Issue: Social Identity and Communication of Party Norms on Social Media Among Political Elites

COVID, BLM, and the polarization of US politicians on Twitter

Exploring the Ideological Nature of Journalists' Social Networks on Twitter and Associations with News Story Content

Photographic home styles in Congress: a computer vision approach

How Do US Congress Members Advertise Climate Change: An Analysis Of Ads Run On Meta's Platforms

Sporting the government: Twitter as a window into sportspersons' engagement with causes in India and USA

Self Promotion in US Congressional Tweets

North American Chapter of the Association for Computational Linguistics


Keras implementation of RetinaNet object detection.

Focal Loss for Dense Object Detection

Individual Tree-Crown Detection in RGB Imagery Using Semi-Supervised Deep Learning Neural Networks

MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network

Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs

A comparative study of fruit detection and counting methods for yield mapping in apple orchards

Improving RetinaNet for CT Lesion Detection with Dense Masks from Weak RECIST Labels

Spatial Attention Fusion for Obstacle Detection Using MmWave Radar and Vision Sensor

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

Combining crowd-sourcing and deep learning to explore the meso-scale organization of shallow convection

Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images


Computing with Python functions.

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

SBI -- A toolkit for simulation-based inference

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

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

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

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

Accurate somatic variant detection using weakly supervised deep learning

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

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

High Order Singular Value Decomposition for Plant Biodiversity Estimation


Neural Network Libraries

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Mixed Precision DNNs: All you need is a good parametrization

Differentiable Quantization of Deep Neural Networks.

Speech Synthesis and Control Using Differentiable DSP

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling

Filter Pre-Pruning for Improved Fine-tuning of Quantized Deep Neural Networks


WebUI extension for ControlNet

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Zero123++: a Single Image to Consistent Multi-view Diffusion Base Model

MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model

MagicPose: Realistic Human Poses and Facial Expressions Retargeting with Identity-aware Diffusion

FABRIC: Personalizing Diffusion Models with Iterative Feedback

X-Portrait: Expressive Portrait Animation with Hierarchical Motion Attention

Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos

UniPortrait: A Unified Framework for Identity-Preserving Single- and Multi-Human Image Personalization

Non-Visible Light Data Synthesis and Application: A Case Study for Synthetic Aperture Radar Imagery

BlendScape: Enabling Unified and Personalized Video-Conferencing
  Environments through Generative AI


structured outputs for llms

Large Malaysian Language Model Based on Mistral for Enhanced Local Language Understanding


Perceptual video quality assessment based on multi-method fusion.

Spatiotemporal Feature Integration and Model Fusion for Full Reference Video Quality Assessment

ELF-VC: Efficient Learned Flexible-Rate Video Coding

Towards Perceptually Optimized End-to-end Adaptive Video Streaming

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

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

Video Multimethod Assessment Fusion (VMAF) on 360VR Contents

IEEE transactions on consumer electronics

Recover Subjective Quality Scores from Noisy Measurements

Advances in Video Compression System Using Deep Neural Network: A Review and Case Studies

Subjective and Objective Quality Assessment of High Frame Rate Videos

NDNetGaming - development of a no-reference deep CNN for gaming video quality prediction

SENSEI: Aligning Video Streaming Quality with Dynamic User Sensitivity


A CNI meta-plugin for multi-homed pods in Kubernetes

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

SDN-Based Network Slicing Mechanism for a Scalable 4G/5G Core Network: A Kubernetes Approach

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

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

KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments

Megalos: A Scalable Architecture for the Virtualization of Large Network Scenarios

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

kube-volttron: Rearchitecting the VOLTTRON Building Energy Management System for Cloud Native Deployment


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

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

Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution

Synergy: Resource Sensitive DNN Scheduling in Multi-Tenant Clusters

INFaaS: Managed & Model-less Inference Serving

Improving the Perceptual Quality of 2D Animation Interpolation

Importance of Data Loading Pipeline in Training Deep Neural Networks

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

Proceedings of the 2022 International Conference on Management of Data

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

bioRxiv : the preprint server for biology

EdgeFace: Efficient Face Recognition Model for Edge Devices

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


OpenModelica is an open-source Modelica-based modeling and simulation environment intended for industrial and academic usage.


Reproduce DeFi hacked incidents using Foundry.

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware
  Repair of Access Control Vulnerabilities in Smart Contracts

Demystifying Invariant Effectiveness for Securing Smart Contracts

SoK: Cross-Chain Bridging Architectural Design Flaws and Mitigations


Flexible Intermediate Representation for RTL

Reusability is FIRRTL ground: Hardware construction languages, compiler frameworks, and transformations

International Conference on Computer Aided Design

Verifying RISC-V Physical Memory Protection


Reverse engineering and pentesting for Android applications

Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

Adversarial Deep Ensemble: Evasion Attacks and Defenses for Malware Detection

IEEE Transactions on Information Forensics and Security

StoryDroid: Automated Generation of Storyboard for Android Apps

An Analysis of Pre-installed Android Software

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be

A Framework for Enhancing Deep Neural Networks Against Adversarial Malware

IEEE Transactions on Network Science and Engineering

A Family of Droids -- Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis


A natural language interface for computers

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

OpenAgents: An Open Platform for Language Agents in the Wild

Data Interpreter: An LLM Agent For Data Science

Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning

InsightLens: Discovering and Exploring Insights from Conversational
  Contexts in Large-Language-Model-Powered Data Analysis


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

Automatic generation of Grover quantum oracles for arbitrary data structures

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

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

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

Developing Programming Assignments for Teaching Quantum Computing and Quantum Programming

Quantum Circuits for Functionally Controlled NOT Gates


Nim implementation of the Ethereum Beacon Chain

Resource Analysis of Ethereum 2.0 Clients

Security Review of Ethereum Beacon Clients


Main gperftools repository

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

International Workshop on Data Management on New Hardware

Pono: A Flexible and Extensible SMT-Based Model Checker

A comparison of three programming languages for a full-fledged next-generation sequencing tool

Shared Memory Parallel Subgraph Enumeration

Daisen: A Framework for Visualizing Detailed GPU Execution

Algorithms and Data Structures to Accelerate Network Analysis

Fast and highly parallelizable phrase table for statistical machine translation

Proceedings of the First Conference on Machine Translation: Volume 1,
          Research Papers

High-Performance Optimization of Algorithms Used in the BM@N Experiment of the NICA Project

MATHEMATICAL MODELING AND COMPUTATIONAL PHYSICS 2019 (MMCP 2019)


The BGP swiss army knife of networking

ARTEMIS: Neutralizing BGP Hijacking within a Minute

Routing Centralization Across Domains via SDN: A Model and Emulation Framework for BGP Evolution

Evaluating the Effect of Centralization on Routing Convergence on a Hybrid BGP-SDN Emulation Framework

Supercharge me: Boost Router Convergence with SDN

Isolario: a Do-ut-des Approach to Improve the Appeal of BGP Route Collecting


Multi-user server for Jupyter notebooks

Computing Environments for Reproducibility: Capturing the "Whole Tale"

Teaching Data Science

Teaching Creative and Practical Data Science at Scale

Journal of Statistics and Data Science Education

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

JOVIAL: Notebook-based astronomical data analysis in the cloud

Evolution of the VISPA-project

Kooplex: collaborative data analytics portal for advancing sciences

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


LGPL Pure Python OPC-UA Client and Server

Timely Survey of Time-Sensitive Networking: Past and Future Directions

Easing the Conscience with OPC UA: An Internet-Wide Study on Insecure Deployments

A Proposal to Improve Interoperability in the Industry 4.0 Based on the Open Platform Communications Unified Architecture Standard

Interoperability for a Dynamic Assembly System

Security Analysis of Vendor Implementations of the OPC UA Protocol for Industrial Control Systems

An Aggregated Data Integration Approach to the Web and Cloud Platforms through a Modular REST-Based OPC UA Middleware

Vulnerabilities of the Open Platform Communication Unified Architecture Protocol in Industrial Internet of Things Operation

Interoperability between OPC UA and oneM2M

Journal of Internet Services and Applications

Universal identification and control of industrial manufacturing equipment as a service

Proceedings of the Estonian Academy of Sciences


Contiki-NG: The OS for Next Generation IoT Devices

A Survey of Limitations and Enhancements of the IPv6 Routing Protocol for Low-Power and Lossy Networks: A Focus on Core Operations

IEEE Communications Surveys and Tutorials

ePhysio: A Wearables-Enabled Platform for the Remote Management of Musculoskeletal Diseases

A survey on Machine Learning Software-Defined Wireless Sensor Networks (ML-SDWSNs): Current status and major challenges

JMAC Protocol: A Cross-Layer Multi-Hop Protocol for LoRa

MUP: Simplifying Secure Over-The-Air Update with MQTT for Constrained IoT Devices

Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things

6TiSCH++ with Bluetooth 5 and Concurrent Transmissions

Performance Evaluation of Adaptive Autonomous Scheduling Functions for 6TiSCH Networks

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

Best Practices for IoT Security: What Does That Even Mean?


LLM inference in C/C++

Language Models are Few-Shot Learners

Training language models to follow instructions with human feedback

LLaMA: Open and Efficient Foundation Language Models

A Survey of Large Language Models

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Extending Context Window of Large Language Models via Positional Interpolation

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

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

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

Efficient Methods for Natural Language Processing: A Survey


Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Supervised Multimodal Bitransformers for Classifying Images and Text

TweepFake: About detecting deepfake tweets

Emotion Detection for Social Robots Based on NLP Transformers and an Emotion Ontology

Zero-shot Fact Verification by Claim Generation

Text-mined dataset of gold nanoparticle synthesis procedures, morphologies, and size entities

Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)–Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study

DebateSum: A large-scale argument mining and summarization dataset

Claim Detection in Biomedical Twitter Posts


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

DRIVE: One-bit Distributed Mean Estimation

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

A Programmable Approach to Neural Network Compression

A Programmable Approach to Model Compression.

QUIC-FL: Quick Unbiased Compression for Federated Learning


K Semantics of the Ethereum Virtual Machine (EVM)

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Raziel: Private and Verifiable Smart Contracts on Blockchains

Smart Contract Vulnerability Detection Technique: A Survey

Ethereum's Recursive Length Prefix in ACL2

Making Tezos smart contracts more reliable with Coq

Leveraging Applications of Formal Methods


Find vulnerabilities, misconfigurations, secrets, SBOM in containers, Kubernetes, code repositories, clouds and more

Practical guide for managing large-scale human genome data in research

Machine Learning Systems are Bloated and Vulnerable

Towards a Security Stress-Test for Cloud Configurations

Semantic Similarity-Based Clustering of Findings From Security Testing Tools

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


open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

MVSNet: Depth Inference for Unstructured Multi-view Stereo

OpenVSLAM: A Versatile Visual SLAM Framework

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Relative Camera Pose Estimation Using Convolutional Neural Networks

DeepV2D: Video to Depth with Differentiable Structure from Motion

LATCH: Learned Arrangements of Three Patch Codes

Reconfiguring the Imaging Pipeline for Computer Vision

Efficient Non-Consecutive Feature Tracking for Robust Structure-From-Motion

Robust Image Retrieval-based Visual Localization using Kapture

Leveraging Vision Reconstruction Pipelines for Satellite Imagery

Anisotropic-Scale Junction Detection and Matching for Indoor Images


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

BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms

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

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

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

KubeHound: Detecting Microservices' Security Smells in Kubernetes Deployments

Predicting resource consumption of Kubernetes container systems using resource models

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

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

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

MSTG: A Flexible and Scalable Microservices Infrastructure Generator


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

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 Development

A Deep Learning-Based Approach to Video-Based Eye Tracking for Human Psychophysics

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


OpenVPN  is  an open source VPN daemon

Client-side Vulnerabilities in Commercial VPNs

Evaluating Susceptibility of VPN Implementations to DoS Attacks Using Adversarial Testing

Enhancing Security of AI-Based Code Synthesis with GitHub Copilot via
  Cheap and Efficient Prompt-Engineering

Empirical Analysis of Software Vulnerabilities Causing Timing Side Channels


Simple and Distributed Machine Learning

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications

Flexible and Scalable Deep Learning with MMLSpark

Large-Scale Intelligent Microservices

MMLSpark: Unifying Machine Learning Ecosystems at Massive Scales


Interactive Data Visualization in the browser, from  Python

Highly accurate protein structure prediction with AlphaFold

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

Hardware-accelerated interactive data visualization for neuroscience in Python

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Teddy: Automatic Recommendation of Pythonic Idiom Usage For Pull-Based Software Projects

A Review of Open Source Software Tools for Time Series Analysis

Identifying Emergent Leadership in OSS Projects Based on Communication Styles

Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems

Metrics-Based Evaluation and Comparison of Visualization Notations

Intertwining Communities: Exploring Libraries that Cross Software Ecosystems


a Python API for your car

CAN-D: A Modular Four-Step Pipeline for Comprehensively Decoding Controller Area Network Data

Hybrid Quantum-Classical Neural Network for Cloud-supported In-Vehicle Cyberattack Detection

CANMatch: A Fully Automated Tool for CAN Bus Reverse Engineering Based on Frame Matching

IEEE Transactions on Vehicular Technology

TTIDS: Transmission-Resuming Time-Based Intrusion Detection System for Controller Area Network (CAN)

Bit-Level Automotive Controller Area Network Message Reverse Framework Based on Linear Regression

CarTwin—Development of a Digital Twin for a Real-World In-Vehicle CAN Network

X-CANIDS: Signal-Aware Explainable Intrusion Detection System for Controller Area Network-Based In-Vehicle Network

CA-CRE: Classification Algorithm-Based Controller Area Network Payload Format Reverse-Engineering Method


Dynamic Documents for R

STR: Seasonal-Trend Decomposition Using Regression

IUCNN – Deep learning approaches to approximate species' extinction risk

ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R

Cancer Predisposition Sequencing Reporter (CPSR): a flexible variant report engine for high-throughput germline screening in cancer

Biodose Tools: an R shiny application for biological dosimetry

International journal of radiation biology

dataquieR: assessment of data quality in epidemiological research

Opinionated Practices for Teaching Reproducibility: Motivation, Guided Instruction and Practice

Does the maturation of early sleep patterns predict language ability at school entry? A Born in Bradford study

A database of handwriting samples for applications in forensic statistics

The tricot citizen science approach applied to on-farm variety evaluation: methodological progress and perspectives


A machine learning compiler for GPUs, CPUs, and ML accelerators

XLB: A differentiable massively parallel lattice Boltzmann library in Python

PartIR: Composing SPMD Partitioning Strategies for Machine Learning

Strided Difference Bound Matrices


Open Source H.264 Codec

DeepLens: Towards a Visual Data Management System

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder

Performance of AV1 Real-Time Mode


OrientDB is the most versatile DBMS supporting Graph, Document, Reactive, Full-Text and Geospatial models in one Multi-Model product. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing and Reactive Queries.

RefDiff: Detecting Refactorings in Version Histories

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

Behind the Scenes: On the Relationship Between Developer Experience and Refactoring

Stress-testing remote model querying APIs for relational and graph-based stores

Using Information Flow to estimate interference between developers same
  method contributions


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

Implementing Software Resiliency in HPX for Extreme Scale Computing

Concurrent Robin Hood Hashing

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

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

Viewing Allocators as Bin Packing Solvers Demystifies Fragmentation


Automated Adversary Emulation Platform

Cyber security threat modeling based on the MITRE Enterprise ATT&CK Matrix

Offensive Security: Towards Proactive Threat Hunting via Adversary Emulation

CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems

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

Automatic Mapping of Unstructured Cyber Threat Intelligence: An Experimental Study

SoK: A Survey of Open-Source Threat Emulators

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset

Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach

On Generating and Labeling Network Traffic with Realistic, Self-Propagating Malware

SoK: The MITRE ATT&CK Framework in Research and Practice


State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Aggregated Residual Transformations for Deep Neural Networks

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Wide & Deep Learning for Recommender Systems

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing

ACM Transactions on Computing for Healthcare

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation


Reverse engineered ChatGPT API

Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

Can we trust the evaluation on ChatGPT?

VeriGen: A Large Language Model for Verilog Code Generation

A Turing test of whether AI chatbots are behaviorally similar to humans

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

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

Causal Reasoning of Entities and Events in Procedural Texts

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?


Simple Features for R

Disparities in access to diagnosis and care in Blantyre, Malawi, identified through enhanced tuberculosis surveillance and spatial analysis

A global database of historic glacier lake outburst floods

Generating traffic flow and speed regional model data using internet GPS vehicle records

The Rockerverse: Packages and Applications for Containerisation with R

The power, potential, and pitfalls of open access biodiversity data in range size assessments: Lessons from the fishes

Chemical Characterization of Natural Gas Leaking from Abandoned Oil and Gas Wells in Western Pennsylvania


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

Deep multi-task learning with low level tasks supervised at lower layers

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

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