This is now the official location of the Merlin project.

The Voice Conversion Challenge 2018: Promoting Development of Parallel and Nonparallel Methods

Non-Parallel Sequence-to-Sequence Voice Conversion With Disentangled Linguistic and Speaker Representations

IEEE/ACM Transactions on Audio, Speech, and Language Processing

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics

Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement

High-Quality Vocoding Design with Signal Processing for Speech Synthesis and Voice Conversion

Speech Synthesis for Conversational News Contents Delivery

Transactions of the Japanese society for artificial intelligence

Loss Function Considering Multiple Attributes of a Temporal Sequence for Feed-Forward Neural Networks

IEICE Transactions on Information and Systems


Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

A Call for Clarity in Reporting BLEU Scores

Multilingual Denoising Pre-training for Neural Machine Translation

Marian: Fast Neural Machine Translation in C++

Unifying Vision-and-Language Tasks via Text Generation

R-Drop: Regularized Dropout for Neural Networks

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Random Feature Attention

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation


Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

Energy-participation quantization of Josephson circuits

Catching and Reversing a Quantum Jump Mid-Flight

Entanglement Assisted Probe of the Non-Markovian to Markovian Transition in Open Quantum System Dynamics

Quantum feedback for measurement and control


A simple probabilistic programming language.

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Training independent subnetworks for robust prediction

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

How Good is the Bayes Posterior in Deep Neural Networks Really?

Discrete Flows: Invertible Generative Models of Discrete Data

Bayesian Layers: A Module for Neural Network Uncertainty

Simple, Distributed, and Accelerated Probabilistic Programming


SGX-LKL Library OS for running Linux applications inside of Intel SGX enclaves

AccTEE: A WebAssembly-based Two-way Sandbox for Trusted Resource Accounting

MIDDLEWARE'19: PROCEEDINGS OF THE 2019 MIDDLEWARE'19: 20TH INTERNATIONAL MIDDLEWARE CONFERENCE

Using Trusted Execution Environments for Secure Stream Processing of Medical Data - (Case Study Paper)

Machine Learning with Confidential Computing: A Systematization of Knowledge

Understanding TEE Containers, Easy to Use? Hard to Trust

Isolating Real-Time Safety-Critical Embedded Systems via SGX-based Lightweight Virtualization

Walnut: A low-trust trigger-action platform

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

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

Securing Big Data Scientific Workflows via Trusted Heterogeneous Environments

IEEE Transactions on Dependable and Secure Computing


Perform data science on data that remains in someone else's server

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

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

Secure and Robust Machine Learning for Healthcare: A Survey

End-to-end privacy preserving deep learning on multi-institutional medical imaging

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

FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning

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

From distributed machine learning to federated learning: a survey

Blockchain for federated learning toward secure distributed machine learning systems: a systemic survey

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Block Hunter: Federated Learning for Cyber Threat Hunting in Blockchain-Based IIoT Networks

IEEE Transactions on Industrial Informatics


The FINE python package provides a framework for modeling, optimizing and assessing energy systems

Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

The Pareto-Optimal Temporal Aggregation of Energy System Models

Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Cost Uncertainties in Energy System Optimization Models: A Quadratic Programming Approach for Avoiding Penny Switching Effects

The Role of Hydrogen in German Residential Buildings

Budget-cut: introduction to a budget based cutting-plane algorithm for capacity expansion models

A Metadata-Based Ecosystem to Improve the FAIRness of Research Software


RINA implementation for OS/Linux

Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration

ARCFIRE: Experimentation with the Recursive InterNetwork Architecture


Lean Theorem Prover

HyperTree Proof Search for Neural Theorem Proving

On the homotopy groups of spheres in homotopy type theory

Definitional proof-irrelevance without K

Symposium on Principles of Programming Languages

An introduction to univalent foundations for mathematicians

Bulletin of the American Mathematical Society

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Congruence Closure in Intensional Type Theory

The Cayley-Dickson Construction in Homotopy Type Theory

The Essence of Generalized Algebraic Data Types

Proceedings of the ACM on programming languages

2-adjoint equivalences in homotopy type theory

Soda: An Object-Oriented Functional Language for Specifying Human-Centered Problems


Link Discovery Framework for Metric Spaces.

LIMES: A Framework for Link Discovery on the Semantic Web

CovidPubGraph: A FAIR Knowledge Graph of COVID-19 Publications

Zenodo (CERN European Organization for Nuclear Research)

On the Effect of Geometries Simplification on Geo-spatial Link Discovery

MaskLink: Efficient Link Discovery for Spatial Relations via Masking Areas

A Comparative Evaluation of Geospatial Semantic Web Frameworks for Cultural Heritage

Three-dimensional Geospatial Interlinking with JedAI-spatial

Duplicate Detection as a Service

COBALT: A Content-Based Similarity Approach for Link Discovery over Geospatial Knowledge Graphs

Application of Open-Source Software in Knowledge Graph Construction


AI for tomography

Boosting Active Learning via Improving Test Performance

AITom: Open-source AI platform for cryo-electron tomography data analysis

Active Learning to Classify Macromolecular Structures in situ for Less Supervision in Cryo-Electron Tomography

Few shot domain adaptation for in situ macromolecule structural classification in cryoelectron tomograms

Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization


Python client API for OpenEO

Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure


CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Graph Neural Networks: A Review of Methods and Applications

Graph Learning: A Survey

IEEE Transactions on Artificial Intelligence

A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Graph Neural Networks: Methods, Applications, and Opportunities

Automated Graph Machine Learning: Approaches, Libraries and Directions

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Graph Mining for Cybersecurity: A Survey

A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks


An open source python package for processing and analysis of 4D STEM data.

Recent advances and applications of deep learning methods in materials science

Correlative image learning of chemo-mechanics in phase-transforming solids

Cryogenic 4D-STEM analysis of an amorphous-crystalline polymer blend: Combined nanocrystalline and amorphous phase mapping

Iterative Phase Retrieval Algorithms for Scanning Transmission Electron Microscopy


ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its  goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A Survey on Causal Inference

Double/Debiased Machine Learning for Treatment and Causal Parameters

Orthogonal Statistical Learning

Deep Generalized Method of Moments for Instrumental Variable Analysis

Orthogonal Random Forest for Causal Inference

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments

Causality Learning: A New Perspective for Interpretable Machine Learning

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

Evaluation Methods and Measures for Causal Learning Algorithms

gCastle: A Python Toolbox for Causal Discovery


Content in this repository is not maintained and is actively being migrated to other repos.

Improving blazar redshift constraints with the edge of the Lyα forest: 1ES 1553+113 and implications for observations of the WHIM

Unveiling δ Scuti and γ Doradus Hybrid Pulsation of HD 53166 and HD 53349 Plus Rich Frequencies in HD 52788 – Catalogs of 70552 δ Sct and 8080 γ Dor

The ELM Survey South. II. Two Dozen New Low-mass White Dwarf Binaries

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

Sonification of TESS Data Validation Timeseries Files

Proceedings of the 27th International Conference on Auditory Display (ICAD 2022)

Characterizing Timeout Builds in Continuous Integration

IEEE Transactions on Software Engineering


Lucet, the Sandboxing WebAssembly Compiler.

A Lightweight Design for Serverless Function as a Service

Isolation Without Taxation: Near Zero Cost Transitions for SFI

Characterizing and Detecting WebAssembly Runtime Bugs

On the Use of Web Assembly in a Serverless Context

Lecture notes in business information processing

Multi-variant Execution at the Edge


Compressed numerical arrays that support high-speed random access

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

PACT '20: PROCEEDINGS OF THE ACM INTERNATIONAL CONFERENCE ON PARALLEL ARCHITECTURES AND COMPILATION TECHNIQUES

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling

IEEE International Symposium on High-Performance Parallel Distributed Computing

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

CEAZ: Accelerating Parallel I/O Via Hardware-Algorithm Co-Designed Adaptive Lossy Compression

A Survey on Error-Bounded Lossy Compression for Scientific Datasets


Bitcoin Improvement Proposals

Witnet: A Decentralized Oracle Network Protocol

Bitcoin Covenants: Three Ways to Control the Future


An adaptive mesh, N-body hydro cosmological simulation code

Simulating mixed fuzzy and cold dark matter

Measurement of the small-scale structure of the intergalactic medium using close quasar pairs

Simulating intergalactic gas for DESI-like small scale Lymanα forest observations

Journal of Cosmology and Astroparticle Physics

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5

Kinetic and internal energy transfer in forced compressible turbulence

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations

Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing

Measurement and analysis of GPU-accelerated applications with HPCToolkit


C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

A global reference for human genetic variation

Real-time, portable genome sequencing for Ebola surveillance

Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls

dDocent: a RADseq, variant-calling pipeline designed for population genomics of non-model organisms

Highly rearranged chromosomes reveal uncoupling between genome topology and gene expression

Genome sequences of two diploid wild relatives of cultivated sweetpotato reveal targets for genetic improvement

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

The genome of the yellow potato cyst nematode, Globodera rostochiensis, reveals insights into the basis of parasitism and virulence

Hybridization Capture Using RAD Probes (hyRAD), a New Tool for Performing Genomic Analyses on Collection Specimens

Global expansion of Mycobacterium tuberculosis lineage 4 shaped by colonial migration and local adaptation


Minimalist NMT for educational purposes

An Actor-Critic Algorithm for Sequence Prediction

Sequence-to-Sequence Learning as Beam-Search Optimization

Sockeye: A Toolkit for Neural Machine Translation

Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages

Joey NMT: A Minimalist NMT Toolkit for Novices

Learning Kernel-Smoothed Machine Translation with Retrieved Examples

Sparse and Continuous Attention Mechanisms

Automatic Interlinear Glossing for Under-Resourced Languages Leveraging Translations

International Conference on Computational Linguistics

Self-Regulated Interactive Sequence-to-Sequence Learning

Edit Distance Based Curriculum Learning for Paraphrase Generation

International Joint Conference on Natural Language Processing


An Active-Passive Measurement Study of TCP Performance over LTE on High-speed Rails

An Evaluation of BBR and its variants

BBRv2+: Towards balancing aggressiveness and fairness with delay-based bandwidth probing

Improvement of RTT Fairness Problem in BBR Congestion Control Algorithm by Gamma Correction

Improvement of BBRv2 Congestion Control Algorithm Based on Flow-aware ECN

Internet Congestion Control Benchmarking


LevelDB key/value database in Go.

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

Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform

Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review

Optimizing Validation Phase of Hyperledger Fabric

Impact of network delays on Hyperledger Fabric

Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Understanding the Scalability of Hyperledger Fabric

Learning about the reduction of food waste using Blockchain technology

Redacting Transactions from Execute-Order-Validate Blockchains

QiOi: Performance Isolation for Hyperledger Fabric


A fork of AFL for fuzzing Windows binaries

EVMFuzz: Differential fuzz testing of Ethereum virtual machine


The WCSim GEANT4 application

Hyper-Kamiokande Design Report

Physics potential of a long-baseline neutrino oscillation experiment using a J-PARC neutrino beam and Hyper-Kamiokande

Progress of Theoretical and Experimental Physics

A Long Baseline Neutrino Oscillation Experiment Using J-PARC Neutrino Beam and Hyper-Kamiokande

Supernova Model Discrimination with Hyper-Kamiokande

Updated physics performance of the ESSnuSB experiment

The European Spallation Source neutrino super-beam conceptual design report

The European Physical Journal Special Topics

Searching for Sub-GeV dark matter in the galactic centre using Hyper-Kamiokande

CNNs for enhanced background discrimination in DSNB searches in large-scale water-Gd detectors

TITUS: the Tokai Intermediate Tank for the Unoscillated Spectrum

Using machine learning to improve neutron identification in water Cherenkov detectors


Instant neural graphics primitives: lightning fast NeRF and more

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

UniSim: A Neural Closed-Loop Sensor Simulator

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Scalable Neural Video Representations with Learnable Positional Features

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

NERF FOR HERITAGE 3D RECONSTRUCTION

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

Optimizing Mobile-Edge AI-Generated Everything (AIGX) Services by Prompt Engineering: Fundamental, Framework, and Case Study

FEW SHOT PHOTOGRAMETRY: A COMPARISON BETWEEN NERF AND MVS-SFM FOR THE DOCUMENTATION OF CULTURAL HERITAGE


SRA Tools

Database resources of the National Center for Biotechnology Information

damidseq_pipeline: an automated pipeline for processing DamID sequencing datasets

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability

An improved zebrafish transcriptome annotation for sensitive and comprehensive detection of cell type-specific genes

DISCO: a database of Deeply Integrated human Single-Cell Omics data

Environmental and epigenetic regulation of Rider retrotransposons in tomato

Unique Molecular Identifiers reveal a novel sequencing artefact with implications for RNA-Seq based gene expression analysis

A chromosome-level genome sequence of Chrysanthemum seticuspe, a model species for hexaploid cultivated chrysanthemum

Microbiomes in the Challenger Deep slope and bottom-axis sediments


Python library for generating high-performance implementations of stencil kernels for weather and climate modeling from a domain-specific language (DSL).

Productivity, Portability, Performance: Data-Centric Python

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

Domain-Specific Multi-Level IR Rewriting for GPU


Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Analysis of cryptocurrency transactions from a network perspective: An overview

ICO investors

Quantitative analysis of cryptocurrencies transaction graph

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

Disentangling Decentralized Finance (DeFi) Compositions

The Eye of Horus: Spotting and Analyzing Attacks on Ethereum Smart Contracts

Behavioral structure of users in cryptocurrency market

Temporal network embedding framework with causal anonymous walks representations

Decentralized Finance, Centralized Ownership? An Iterative Mapping Process to Measure Protocol Token Distribution


A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighborhood Search

SPANN: Highly-efficient Billion-scale Approximate Nearest Neighbor Search

Manu: A Cloud Native Vector Database Management System

Survey of Vector Database Management Systems

Similarity search in the blink of an eye with compressed indices

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured and Unstructured Constraints

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

An Empirical Comparison of FAISS and FENSHSES for Nearest Neighbor Search in Hamming Space


A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

PettingZoo: Gym for Multi-Agent Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Robust Reinforcement Learning using Offline Data

Smooth Exploration for Robotic Reinforcement Learning

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

Rastermap: a discovery method for neural population recordings

Minimax Optimal Online Imitation Learning via Replay Estimation

Robust Imitation Learning from Corrupted Demonstrations


Python library for interactive topic model visualization. Port of the R LDAvis package.

Revealing Public Opinion Towards COVID-19 Vaccines With Twitter Data in the United States: Spatiotemporal Perspective

Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news

A Multimodal Deep Log-Based User Experience (UX) Platform for UX Evaluation

Sentiment Analysis and Topic Modeling Regarding Online Classes on the Reddit Platform: Educators versus Learners

Free speech or hate speech? A legal analysis of the discourse about Roma on Twitter

Information & communications technology law

HT - What is BitChute?: Characterizing the

EDAssistant: Supporting Exploratory Data Analysis in Computational Notebooks with In Situ Code Search and Recommendation

COVID-SEE: Scientific Evidence Explorer for COVID-19 Related Research

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis

Topic modelling discourse dynamics in historical newspapers


Low-latency machine code generation

Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra

A JIT Compiler for Neural Network Inference

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode

FIRESTARTER 2: Dynamic Code Generation for Processor Stress Tests

International Conference on Cluster Computing


Modular Ocean Model

SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

Journal of Advances in Modeling Earth Systems

GFDL's SPEAR Seasonal Prediction System: Initialization and Ocean Tendency Adjustment (OTA) for Coupled Model Predictions

Substantial global influence of anthropogenic aerosols on tropical cyclones over the past 40 years

Parameterization of Submesoscale Symmetric Instability in Dense Flows Along Topography

A weakened AMOC may prolong greenhouse gas–induced Mediterranean drying even with significant and rapid climate change mitigation

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

On Energy Cascades in General Flows: A Lagrangian Application


Julia package for function approximation

Dedalus: A flexible framework for numerical simulations with spectral methods

The automatic solution of partial differential equations using a global spectral method

A practical framework for infinite-dimensional linear algebra

Fast polynomial transforms based on Toeplitz and Hankel matrices

The foundations of spectral computations via the Solvability Complexity Index hierarchy

A fast and well-conditioned spectral method for singular integral equations

Spectral Galerkin methods for transfer operators in uniformly expanding dynamics

On the Computation of Geometric Features of Spectra of Linear Operators on Hilbert Spaces

The "good" Boussinesq equation: a Riemann-Hilbert approach

Computing Spectral Measures and Spectral Types


JETSCAPE, a modular, task-based framework for simulating all aspects of heavy-ion collisions.

Inclusive jet and hadron suppression in a multistage approach

JETSCAPE v1.0 Quickstart Guide

Dynamics of Hot QCD Matter -- Current Status and Developments

Multiscale evolution of charmed particles in a nuclear medium

Jet substructure modification in a QGP from a multi-scale description of jet evolution with JETSCAPE

Multi-Stage Heavy Quark Transport in Ultra-relativistic Heavy-ion Collisions

Applications of emulation and Bayesian methods in heavy-ion physics

A new metric improving Bayesian calibration of a multistage approach studying hadron and inclusive jet suppression


A minimalist environment for decision-making in autonomous driving

Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

A Survey on Safety-Critical Driving Scenario Generation—A Methodological Perspective

Deep Multi-Agent Reinforcement Learning for Highway On-Ramp Merging in Mixed Traffic

Bi-level Actor-Critic for Multi-agent Coordination

Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios

A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing


A simple code complexity analyser without caring about the C/C++ header files or Java imports, supports most of the popular languages.

Towards Automating Code Review Activities

The Technical Debt Dataset

Predictive Models in Software Engineering

Using Pre-Trained Models to Boost Code Review Automation

Analysing Noisy Driver Physiology Real-Time Using Off-the-Shelf Sensors: Heart Rate Analysis Software from the Taking the Fast Lane Project

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets

Software and computing for Run 3 of the ATLAS experiment at the LHC

Are Game Engines Software Frameworks? A Three-perspective Study

Zenodo (CERN European Organization for Nuclear Research)

Test automation maturity improves product quality—Quantitative study of open source projects using continuous integration

Detect-Localize-Repair: A Unified Framework for Learning to Debug with CodeT5


A framework for fast simulation of a generic collider experiment

The International Linear Collider: Report to Snowmass 2021

HAL (Le Centre pour la Communication Scientifique Directe)

Towards a Muon Collider

Type-II seesaw scalar triplet model at a 100 TeV pp collider: discovery and higgs portal coupling determination

Measuring the Higgs self-coupling via Higgs-pair production at a 100 TeV p–p collider

A tale of two portals: testing light, hidden new physics at future e+e− colliders

Machine Learning the Higgs-Top CP Phase.

Heavy resonances at energy-frontier hadron colliders

A DELPHES card for the CLIC detector

Jet flavour tagging for future colliders with fast simulation

Neutrino masses and magnetic moments of electron and muon in the Zee Model


FLARE Obfuscated String Solver - Automatically extract obfuscated strings from malware.

A Survey on Cross-Architectural IoT Malware Threat Hunting

Malware triage for early identification of Advanced Persistent Threat activities

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets.


Various code metrics for Python code

In-IDE Code Generation from Natural Language: Promise and Challenges

Magni: A Python Package for Compressive Sampling and Reconstruction of Atomic Force Microscopy Images

Refactoring Programs Using Large Language Models with Few-Shot Examples

Towards better data discovery and collection with flow-based programming


pyOptSparse is an object-oriented framework for formulating and solving nonlinear constrained optimization problems in an efficient, reusable, and portable manner.

Reinforcement-learning-based control of confined cylinder wakes with stability analyses

Multipoint high-fidelity CFD-based aerodynamic shape optimization of a 10 MW wind turbine

Aerostructural Wing Optimization of a Regional Jet Considering Mission Fuel Burn


A machine learning package for streaming data in Python. The other ancestor of River.

Scikit-Multiflow: A Multi-output Streaming Framework

Adaptive XGBoost for Evolving Data Streams

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance

Computational intelligence and neuroscience

Online Multi-target regression trees with stacked leaf models

Changes from the Trenches: Should We Automate Them?

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles


Patch-level verification for Bundler

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Cleaning the NVD: Comprehensive Quality Assessment, Improvements, and Analyses

Measuring and Preventing Supply Chain Attacks on Package Managers.


A Python implementation of LightFM, a hybrid recommendation algorithm.

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Conference on Information and Knowledge Management

Metadata Embeddings for User and Item Cold-start Recommendations

Collaborative Similarity Embedding for Recommender Systems

GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation

Transfer Meets Hybrid: A Synthetic Approach for Cross-Domain Collaborative Filtering with Text

Sampling-Decomposable Generative Adversarial Recommender

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Automatic playlist continuation using a hybrid recommender system combining features from text and audio

RECSYS CHALLENGE'18: PROCEEDINGS OF THE ACM RECOMMENDER SYSTEMS CHALLENGE 2018

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams

Cross-Domain Meta-Learner for Cold-Start Recommendation

IEEE Transactions on Knowledge and Data Engineering


GTP engine and self-play learning in Go

Accelerating Self-Play Learning in Go

Adversarial Policies Beat Superhuman Go AIs

Explaining How a Neural Network Play the Go Game and Let People Learn

Can Go AIs be adversarially robust?


The XENON1T raw data processor [deprecated]

Convolutional neural networks for direct detection of dark matter

Journal of Physics G: Nuclear and Particle Physics

Correlated single- and few-electron backgrounds milliseconds after interactions in dual-phase liquid xenon time projection chambers

A semi-supervised approach to dark matter searches in direct detection data with machine learning

Journal of Cosmology and Astroparticle Physics

Commissioning of a dual-phase xenon TPC at Nikhef

Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Finding dark matter faster with explicit profile likelihoods


Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/

Aggregated Contextual Transformations for High-Resolution Image Inpainting

Characterizing signal propagation to close the performance gap in unnormalized ResNets

Towards Fully Automated Manga Translation

Detection of Furigana Text in Images


RO is an ontology of relations for use with biological ontologies

The Gene Ontology resource: enriching a GOld mine

The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species

Textpresso Central: a customizable platform for searching, text mining, viewing, and curating biomedical literature

Automated generation of gene summaries at the Alliance of Genome Resources

Database : the journal of biological databases and curation

The Orthology Ontology: development and applications

The Soil Food Web Ontology: aligning trophic groups, processes, resources, and dietary traits to support food-web research

Observational/hydrographic data of the South Atlantic Ocean published as LOD

When one Logic is Not Enough: Integrating First-order Annotations in OWL Ontologies

Muscle Logic: New Knowledge Resource for Anatomy Enables Comprehensive Searches of the Literature on the Feeding Muscles of Mammals


Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

End-to-End Speech Recognition: A Survey

Espresso: A Fast End-to-end Neural Speech Recognition Toolkit

PyChain: A Fully Parallelized PyTorch Implementation of LF-MMI for End-to-End ASR

End-to-End Speech Recognition and Disfluency Removal

Relaxed Attention for Transformer Models

Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition

iRNN: Integer-only Recurrent Neural Network

Training Integer-Only Deep Recurrent Neural Networks


OpenBLAS is an optimized BLAS library based on GotoBLAS2 1.13 BSD version.

Matrix Computations and Optimization in Apache Spark

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Consensus clustering of single-cell RNA-seq data by enhancing network affinity

Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs

Journal of Intelligent and Robotic Systems

Towards an Efficient Use of the BLAS Library for Multilinear Tensor Contractions

Fast and backward stable transforms between spherical harmonic expansions and bivariate Fourier series

DISTAL: the distributed tensor algebra compiler

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

mlpack 4: a fast, header-only C++ machine learning library

Test-driving RISC-V Vector hardware for HPC

Parallelization of the inverse fast multipole method with an application to boundary element method


A general-purpose probabilistic programming system with programmable inference

Automating Involutive MCMC using Probabilistic and Differentiable Programming.

Using probabilistic programs as proposals

Deep Involutive Generative Models for Neural MCMC

DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models

Effect Handlers for Programmable Inference


Project 1


Time series forecasting with PyTorch

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting

Darts: User-Friendly Modern Machine Learning for Time Series

Collective variable discovery in the age of machine learning: reality, hype and everything in between

A Survey of Deep Learning and Foundation Models for Time Series Forecasting

Graph Deep Learning for Time Series Forecasting

Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage

Long-term Regional Influenza-like-illness Forecasting Using Exogenous Data

IEEE journal of biomedical and health informatics


VCF visualization interface

Integration of whole genome sequencing into a healthcare setting: high diagnostic rates across multiple clinical entities in 3219 rare disease patients

Feasibility to use whole-genome sequencing as a sole diagnostic method to detect genomic aberrations in pediatric B-cell acute lymphoblastic leukemia

Sensitive Detection of Cell-Free Tumour DNA Using Optimised Targeted Sequencing Can Predict Prognosis in Gastro-Oesophageal Cancer

PatientMatcher: a customizable Python-based open-source tool for matching undiagnosed rare disease patients via the MatchMaker Exchange network

Massive parallel sequencing in individuals with multiple primary tumours reveals the benefit of re-analysis

Case Report: Whole genome sequencing identifies CCDC88C as a novel JAK2 fusion partner in pediatric T-cell acute lymphoblastic leukemia

Diagnostic yield and clinical impact of germline sequencing in children with CNS and extracranial solid tumors—a nationwide, prospective Swedish study


Read-only mirror of Trusted Firmware-A

Virtualizing mixed-criticality systems: A survey on industrial trends and issues

Building Trust for Smart Connected Devices: The Challenges and Pitfalls of TrustZone

ReZone: Disarming TrustZone with TEE Privilege Reduction

Fine-Grained Access Control-Enabled Logging Method on ARM TrustZone

End-to-End Security for Distributed Event-driven Enclave Applications on Heterogeneous TEEs


The curation repository for the data behind Concepticon.

Concepticon: A Resource for the Linking of Concept Lists

Linking norms, ratings, and relations of words and concepts across multiple language varieties

General patterns and language variation: Word frequencies across English, German, and Chinese

Workshop on Cognitive Aspects of the Lexicon

Curating and extending data for language comparison in Concepticon and NoRaRe


Fit interpretable models. Explain blackbox machine learning.

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

InterpretML: A Unified Framework for Machine Learning Interpretability

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

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

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Benchmarking and survey of explanation methods for black box models

Trustworthy AI: A Computational Perspective

Human-Centered Explainable AI (XAI): From Algorithms to User Experiences

A Survey of Deep Learning for Scientific Discovery

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts


A community-driven ontology for the representation of environments

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

Ontology-Enriched Specifications Enabling Findable, Accessible, Interoperable, and Reusable Marine Metagenomic Datasets in Cyberinfrastructure Systems

MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms


An implementation of a deep learning recommendation model (DLRM)

Deep Learning Recommendation Model for Personalization and Recommendation Systems

DCN V2: Improved Deep & Cross Network and Practical Lessons for Web-scale Learning to Rank Systems

The Architectural Implications of Facebook's DNN-based Personalized Recommendation

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Compositional Embeddings Using Complementary Partitions for Memory-Efficient Recommendation Systems

Mixed Dimension Embeddings with Application to Memory-Efficient Recommendation Systems

Deep Learning Training in Facebook Data Centers: Design of Scale-up and Scale-out Systems

TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

Learning-Rate-Free Learning by D-Adaptation

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


Creative Commons Attribution 4.0 International

Source ontology files for the Gene Ontology

The Gene Ontology Resource: 20 years and still GOing strong

Expansion of the Gene Ontology knowledgebase and resources

Exploring autophagy with Gene Ontology

Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations

Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools

Methods in molecular biology (Clifton, N.J.)

Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO)


Rembg is a tool to remove images background

ICON: Implicit Clothed humans Obtained from Normals

ECON: Explicit Clothed humans Optimized via Normal integration

OmniObject3D: Large-Vocabulary 3D Object Dataset for Realistic Perception, Reconstruction and Generation

PF-LRM: Pose-Free Large Reconstruction Model for Joint Pose and Shape Prediction

Towards Open-World Text-Guided Face Image Generation and Manipulation

TediGAN: Text-Guided Diverse Image Generation and Manipulation

SeSDF: Self-evolved Signed Distance Field for Implicit 3D Clothed Human Reconstruction

Scrape, Cut, Paste and Learn: Automated Dataset Generation Applied to Parcel Logistics

ConTex-Human: Free-View Rendering of Human from a Single Image with Texture-Consistent Synthesis

The Impact of Background Removal on Performance of Neural Networks for Fashion Image Classification and Segmentation


cuDF - GPU DataFrame Library

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

WarpCore: A Library for fast Hash Tables on GPUs

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes

Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys

Accelerating Machine Learning Queries with Linear Algebra Query Processing


Reference implementation and documentation of a LoRa network node.

A Dual Key-Based Activation Scheme for Secure LoRaWAN

Wireless Communications and Mobile Computing

Minimizing power consumption of LoRa ® and LoRaWAN for low-power wireless sensor nodes

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review

Open-source low-cost design of a buoy for remote water quality monitoring in fish farming

LoRaWAN with HSM as a Security Improvement for Agriculture Applications

KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs

Low-Power Wide-Area Network Design


cell detection in calcium imaging recordings

Fos ensembles encode and shape stable spatial maps in the hippocampus

Mesoscale cortical dynamics reflect the interaction of sensory evidence and temporal expectation during perceptual decision-making

Hippocampal place codes are gated by behavioral engagement

A bright and high-performance genetically encoded Ca2+ indicator based on mNeonGreen fluorescent protein

Respiration-Locking of Olfactory Receptor and Projection Neurons in the Mouse Olfactory Bulb and Its Modulation by Brain State

Minute-scale oscillatory sequences in medial entorhinal cortex

Complexity of frequency receptive fields predicts tonotopic variability across species

PatchWarp: Corrections of non-uniform image distortions in two-photon calcium imaging data by patchwork affine transformations

A stable, distributed code for cue value in mouse cortex during reward learning

Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex


A C++ library for efficient tensor network calculations

The ITensor Software Library for Tensor Network Calculations

Reconstructing quantum states with generative models

Optimization of infinite projected entangled pair states: The role of multiplets and their breaking

Heisenberg Spin-1/2 Antiferromagnetic Molecular Chains


The world's simplest facial recognition api for Python and the command line

GANimation: Anatomically-aware Facial Animation from a Single Image

Deepfake Video Detection Using Convolutional Vision Transformer

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

SofGAN: A Portrait Image Generator with Dynamic Styling

Biometric Quality: Review and Application to Face Recognition with FaceQnet

SpeakingFaces: A Large-Scale Multimodal Dataset of Voice Commands with Visual and Thermal Video Streams

StyleVideoGAN: A Temporal Generative Model using a Pretrained StyleGAN

Local directional relation pattern for unconstrained and robust face retrieval

Edge and Identity Preserving Network for Face Super-Resolution

Totally Looks Like - How Humans Compare, Compared to Machines


A numeric optimization package for Torch.

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Online Learning Rate Adaptation with Hypergradient Descent

Low-dose cryo electron ptychography via non-convex Bayesian optimization

Shallow Updates for Deep Reinforcement Learning

Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Journal of the Association for Information Science and Technology


Dependabot's core logic for creating update PRs.

Automating Dependency Updates in Practice: An Exploratory Study on GitHub Dependabot

Empirical Analysis of Vulnerabilities Life Cycle in Golang Ecosystem


A free and open database for farming and gardening knowledge. You can grow anything!


100% working container for Nominatim

Measuring the Impact of Natural Hazards with Citizen Science: The Case of Flooded Area Estimation Using Twitter

Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources

What Does Twitter Say About Self-Regulated Learning? Mapping Tweets From 2011 to 2021


[DEPRECATED] Core Java Library + PDF/A, xtra and XML Worker. Only security fixes will be added — please use iText 7

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

IEEE Transactions on Software Engineering


[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction

Reasoning with Language Model Prompting: A Survey

Attention-Based Capsule Networks with Dynamic Routing for Relation Extraction

LightNER: A Lightweight Tuning Paradigm for Low-resource NER via Pluggable Prompting

DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population

How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?

CodeKGC: Code Language Model for Generative Knowledge Graph Construction

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis

One Model for All Domains: Collaborative Domain-Prefix Tuning for Cross-Domain NER

InstructIE: A Chinese Instruction-based Information Extraction Dataset

On Analyzing the Role of Image for Visual-enhanced Relation Extraction


Fast and powerful SSL/TLS scanning library.

Herding Vulnerable Cats: A Statistical Approach to Disentangle Joint Responsibility for Web Security in Shared Hosting

No Need for Black Chambers: Testing TLS in the E-mail Ecosystem at Large

Accurate TLS Fingerprinting using Destination Context and Knowledge Bases

Unleashing IoT Security: Assessing the Effectiveness of Best Practices in Protecting Against Threats


i-PI: a universal force engine

Uncertainty estimation for molecular dynamics and sampling

Realistic phase diagram of water from "first principles" data-driven quantum simulations

i-PI 3.0: A flexible and efficient framework for advanced atomistic simulations


Enarx: Confidential Computing with WebAssembly

Swivel: Hardening WebAssembly against Spectre

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

SmashEx: Smashing SGX Enclaves Using Exceptions

Conference on Computer and Communications Security

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

Understanding TEE Containers, Easy to Use? Hard to Trust

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

End-to-End Security for Distributed Event-driven Enclave Applications on Heterogeneous TEEs

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

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

Private Delegated Computations Using Strong Isolation


Linux user space library for network socket acceleration based on RDMA compatible network adaptors

NFV Platforms: Taxonomy, Design Choices and Future Challenges

RDMA is Turing complete, we just did not know it yet!

Domain-specific Communication Optimization for Distributed DNN Training

Distributed Heterogeneous N-Variant Execution

DMON: A Distributed Heterogeneous N-Variant System

A Benchmark to Evaluate InfiniBand Solutions for Java Applications

Accelerating netty-based applications through transparent InfiniBand support


Low level access to RISC-V processors


Forecasting Functions for Time Series and Linear Models

Warming advances top-down control and reduces producer biomass in a freshwater plankton community

Climate Based Predictability of Oil Palm Tree Yield in Malaysia

Clinical and Epidemiologic Patterns of Chikungunya Virus Infection and Coincident Arboviral Disease in a School Cohort in Haiti, 2014–2015

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Investor Happiness and Predictability of the Realized Volatility of Oil Price

On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data

Statistical Emulators for Pricing and Hedging Longevity Risk Products

Repeated flood disturbance enhances rotifer dominance and diversity in a zooplankton community of a small dammed mountain pond

Extracting Conditionally Heteroskedastic Components using Independent Component Analysis

Month-wise variation and prediction of bulk tank somatic cell count in Brazilian dairy herds and its impact on payment based on milk quality

The fewer, the better fare: Can the loss of vegetation in the Cerrado drive the increase in dengue fever cases infection?


This has been moved to https://github.com/ethereum/remix-project

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

Zenodo (CERN European Organization for Nuclear Research)

A Novel Location Privacy-Preserving Approach Based on Blockchain

Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts

IEEE Open Journal of the Computer Society

Exploring Security Practices of Smart Contract Developers


Tools to process and analyze deep sequencing data.

deepTools2: a next generation web server for deep-sequencing data analysis

Chromatin-associated RNA sequencing (ChAR-seq) maps genome-wide RNA-to-DNA contacts

The changing mouse embryo transcriptome at whole tissue and single-cell resolution

The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Downy Mildew effector HaRxL21 interacts with the transcriptional repressor TOPLESS to promote pathogen susceptibility

TCR-independent CD137 (4-1BB) signaling promotes CD8+-exhausted T cell proliferation and terminal differentiation

Transcription-induced domains form the elementary constraining building blocks of bacterial chromosomes

YY1 Regulates Glucose Homeostasis Through Controlling Insulin Transcription in Pancreatic β-Cells

The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia


FlowDroid Static Data Flow Tracker

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

OpCode-Level Function Call Graph Based Android Malware Classification Using Deep Learning

Are free Android app security analysis tools effective in detecting known vulnerabilities?

TaintBench: Automatic real-world malware benchmarking of Android taint analyses

Characterizing Sensor Leaks in Android Apps

Demystifying Hidden Sensitive Operations in Android Apps

Survey of Malware Analysis through Control Flow Graph using Machine Learning

BenchPress: Analyzing Android App Vulnerability Benchmark Suites

Understanding Privacy Over-collection in WeChat Sub-app Ecosystem

AndroLibZoo: A Reliable Dataset of Libraries Based on Software Dependency Analysis


objection - runtime mobile exploration

You Shall not Repackage! Demystifying Anti-Repackaging on Android

A Framework to Secure the Development and Auditing of SSL Pinning in Mobile Applications: The Case of Android Devices

Unleashing IoT Security: Assessing the Effectiveness of Best Practices in Protecting Against Threats


YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOv3: An Incremental Improvement

YOLOX: Exceeding YOLO Series in 2021

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation

Black-box Explanation of Object Detectors via Saliency Maps

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

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

An Efficient Domain-Incremental Learning Approach to Drive in All Weather Conditions

Benchmarking Adversarial Patch Against Aerial Detection

Application-Specific Evaluation of a Weed-Detection Algorithm for Plant-Specific Spraying

Deep Directly-Trained Spiking Neural Networks for Object Detection


Open source codebase powering the HuggingChat app

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs

G3Detector: General GPT-Generated Text Detector

SurveyAgent: A Conversational System for Personalized and Efficient
  Research Survey


This is solc-verify, a modular verifier for Solidity.

solc-verify: A Modular Verifier for Solidity Smart Contracts

Verified Software: Theories, Tools, Experiments

SMT-Friendly Formalization of the Solidity Memory Model

PROGRAMMING LANGUAGES AND SYSTEMS ( ESOP 2020)

Using Fault Injection to Assess Blockchain Systems in Presence of Faulty Smart Contracts

Formal Specification and Verification of Solidity Contracts with Events

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Efficiently computes derivatives of NumPy code.

Convolutional Networks on Graphs for Learning Molecular Fingerprints

Automatic differentiation in machine learning: a survey

Pymoo: Multi-Objective Optimization in Python

Gradient-based Hyperparameter Optimization through Reversible Learning

Entropy-SGD: Biasing Gradient Descent Into Wide Valleys

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

Deep Gaussian Processes for Regression using Approximate Expectation Propagation

Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction

Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference


A hyperparameter optimization framework

Optuna: A Next-generation Hyperparameter Optimization Framework

AutoML to Date and Beyond: Challenges and Opportunities

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

Fast and Accurate Network Embeddings via Very Sparse Random Projection

An empirical comparison of neural networks and machine learning algorithms for EEG gait decoding

Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis

Multiplex Heterogeneous Graph Convolutional Network

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

Neural graph embeddings as explicit low-rank matrix factorization for link prediction

HLDC: Hindi Legal Documents Corpus


List of Dirty, Naughty, Obscene, and Otherwise Bad Words

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

PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization

StarCoder: may the source be with you!

Characterizing and Detecting Hateful Users on Twitter

Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack

RedCaps: web-curated image-text data created by the people, for the people

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Scalable 3D Captioning with Pretrained Models

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

Analyzing the hate and counter speech accounts on Twitter


A Python library for creating LaTeX files

Validation of an automated scoring program for a digital complex figure copy task within healthy aging and stroke.

SRG/eROSITA and XMM-Newton observations of Vela Jr

G189.6+03.3: The first complete X-ray view provided by SRG/eROSITA

Supplemental Material for Validation of an Automated Scoring Program for a Digital Complex Figure Copy Task Within Healthy Aging and Stroke


Workflow Engine for Kubernetes

Computational Strategies for Scalable Genomics Analysis

How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm

Object Detection in Driving Datasets Using a High-Performance Computing Platform: A Benchmark Study

A Pragmatical Approach to Anomaly Detection Evaluation in Edge Cloud Systems

Adaptive Resource Allocation for Workflow Containerization on Kubernetes

Smart5Grid Solutions for enhanced TSO grid observability and manageability in massive RES penetration environment

An Open-Source Experimentation Framework for the Edge Cloud Continuum


IMPROVER is a library of algorithms for meteorological post-processing.

Statistical Postprocessing for Weather Forecasts: Review, Challenges, and Avenues in a Big Data World

Bulletin of the American Meteorological Society

Incorporating the North Atlantic Oscillation into the post-processing of MOGREPS-G wind speed forecasts

Quarterly Journal of the Royal Meteorological Society

Improving the blend of multiple weather forecast sources by Reliability Calibration


Snabb: Simple and fast packet networking

MoonGen: A Scriptable High-Speed Packet Generator

User Space Network Drivers

The Case for Writing Network Drivers in High-Level Programming Languages

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

Remote Procedure Call as a Managed System Service

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

Metronome: adaptive and precise intermittent packet retrieval in DPDK

Modeling and analyzing the performance of high-speed packet I/O

A Framework for Comparative Evaluation of High-Performance Virtualized Networking Mechanisms

International Conference on Cloud Computing and Services Science


Tools for curating biomedical training data for large-scale language modeling

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning


Pipeline components for real-time phylodynamic analysis

Emergence of genomic diversity and recurrent mutations in SARS-CoV-2

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases

Structures of Human Antibodies Bound to SARS-CoV-2 Spike Reveal Common Epitopes and Recurrent Features of Antibodies

Temporal Detection and Phylogenetic Assessment of SARS-CoV-2 in Municipal Wastewater

medRxiv : the preprint server for health sciences

Transmission of SARS-CoV-2 from humans to animals and potential host adaptation

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Real-time tracking of Tomato brown rugose fruit virus (ToBRFV) outbreaks in the Netherlands using Nextstrain

Betacoronavirus Genomes: How Genomic Information has been Used to Deal with Past Outbreaks and the COVID-19 Pandemic

International journal of molecular sciences

Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology

SARS-CoV-2 mutation 614G creates an elastase cleavage site enhancing its spread in high AAT-deficient regions

Emergence of a recurrent insertion in the N-terminal domain of the SARS-CoV-2 spike glycoprotein


A library for easy and efficient manipulation of tensor networks.

Differentiable Quantum Architecture Search

TensorNetwork: A Library for Physics and Machine Learning

TensorNetwork for Machine Learning

lambeq: An Efficient High-Level Python Library for Quantum NLP

Lectures on Quantum Tensor Networks

Tensor-based algorithms for image classification

COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry

TensorNetwork on TensorFlow: A Spin Chain Application Using Tree Tensor Networks

TeNeS: Tensor network solver for quantum lattice systems

TensorNetwork on TensorFlow: Entanglement Renormalization for quantum critical lattice models


Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code

On the cavity size in circumbinary discs

A likely flyby of binary protostar Z CMa caught in action

Circumbinary disc self-gravity governing supermassive black hole binary mergers

Monthly notices of the Royal Astronomical Society

On the rise times in FU Orionis events

Monthly Notices of the Royal Astronomical Society: Letters

GW Ori: circumtriple rings and planets

Chemical signatures of a warped protoplanetary disc

Sustained FU Orionis-type outbursts from colliding discs in stellar flybys

A massive Keplerian protostellar disk with flyby-induced spirals in the Central Molecular Zone

Exciting spiral arms in protoplanetary discs from flybys

Kinematic and thermal signatures of the directly imaged protoplanet candidate around Elias 2-24


An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning

Multi-Scale Neural network for EEG Representation Learning in BCI

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition

Source-free Subject Adaptation for EEG-based Visual Recognition


TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

Local Implicit Grid Representations for 3D Scenes

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

Solving inverse-PDE problems with physics-aware neural networks

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Self-supervised learning with physics-aware neural networks - I. Galaxy model fitting


TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

International Conference on Tools with Artificial Intelligence

AutoML to Date and Beyond: Challenges and Opportunities

Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows


PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

Implicit Neural Representations with Periodic Activation Functions

Fourier Neural Operator for Parametric Partial Differential Equations

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

Gradient Surgery for Multi-Task Learning

Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Data-Driven Synthesis of Smoke Flows with CNN-based Feature Descriptors

Physics-informed neural networks with hard constraints for inverse design


Landlab codebase, wiki, and tests

Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics

The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution

The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds

A hydroclimatological approach to predicting regional landslide probability using Landlab


OpenMMLab Self-Supervised Learning Toolbox and Benchmark

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Masked Autoencoders Are Scalable Vision Learners

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

Exploring Simple Siamese Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Unsupervised Representation Learning by Predicting Image Rotations

Improved Baselines with Momentum Contrastive Learning

Unsupervised Visual Representation Learning by Context Prediction

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


Specifications of SAM/BAM and related high-throughput sequencing file formats

Twelve years of SAMtools and BCFtools

Nanopore sequencing and assembly of a human genome with ultra-long reads

GA4GH: International policies and standards for data sharing across genomic research and healthcare

VariantValidator: Accurate validation, mapping, and formatting of sequence variation descriptions

RADIA: RNA and DNA Integrated Analysis for Somatic Mutation Detection

Mapping genetic variations to three-dimensional protein structures to enhance variant interpretation: a proposed framework

Genomic exploration of sequential clinical isolates reveals a distinctive molecular signature of persistent Staphylococcus aureus bacteraemia

GeneMed: An Informatics Hub for the Coordination of Next-Generation Sequencing Studies that Support Precision Oncology Clinical Trials

Inheritance of paternal DNA damage by histone-mediated repair restriction

elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling


Library for training machine learning models with privacy for training data

Neural Program Synthesis with Priority Queue Training

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Evaluating Differentially Private Machine Learning in Practice

Membership Inference Attacks From First Principles

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

Differential Privacy Has Disparate Impact on Model Accuracy

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Differentially Private Model Publishing for Deep Learning

Large Language Models Can Be Strong Differentially Private Learners


Wave Energy Converter Simulator (WEC-Sim), an open-source code for simulating wave energy converters.


Natural Language Processing for the next decade. Tokenization, Part-of-Speech Tagging, Named Entity Recognition, Syntactic & Semantic Dependency Parsing, Document Classification

Analogical Reasoning on Chinese Morphological and Semantic Relations

Learning to Predict Charges for Criminal Cases with Legal Basis

Empirical Methods in Natural Language Processing

A Neural Multi-digraph Model for Chinese NER with Gazetteers

Meeting of the Association for Computational Linguistics

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Interpretable Rationale Augmented Charge Prediction System

International Conference on Computational Linguistics

Text mining for social science - The state and the future of computational text analysis in sociology.

Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments


A scikit-learn compatible neural network library that wraps PyTorch

A scikit-based Python environment for performing multi-label classification

Predicting the global far-infrared SED of galaxies via machine learning techniques

Mining Documentation to Extract Hyperparameter Schemas

Using Base-ml to Learn Classification of Common Vestibular Disorders on DizzyReg Registry Data

Brain Age Revisited: Investigating the State vs. Trait Hypotheses of EEG-derived Brain-Age Dynamics with Deep Learning


Probabilistic reasoning and statistical analysis in TensorFlow

Masked Autoregressive Flow for Density Estimation

A General and Adaptive Robust Loss Function

TensorFlow Distributions

Generative Ensembles for Robust Anomaly Detection

What can I do here? A Theory of Affordances in Reinforcement Learning

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Probabilistic programming with densities in SlicStan: efficient, flexible, and deterministic

Proceedings of the ACM on Programming Languages

Effect Handling for Composable Program Transformations in Edward2

Conditional Independence by Typing


A feature-rich command-line audio/video downloader

SlideSpeech: A Large-Scale Slide-Enriched Audio-Visual Corpus

The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild

SlideAVSR: A Dataset of Paper Explanation Videos for Audio-Visual Speech Recognition

We Care: Multimodal Depression Detection and Knowledge Infused Mental
  Health Therapeutic Response Generation

Short Film Dataset (SFD): A Benchmark for Story-Level Video Understanding

Detecting Misinformation in Multimedia Content through Cross-Modal Entity Consistency: A Dual Learning Approach

Pacific Asia Conference on Information Systems


Example models for Stan

Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

Bayesian Workflow

Fast Black-box Variational Inference through Stochastic Trust-Region Optimization

Divide and Couple: Using Monte Carlo Variational Objectives for Posterior Approximation

Compiling Stan to Generative Probabilistic Languages and Extension to Deep Probabilistic Programming

Hamiltonian Monte Carlo Swindles

Black Box Variational Inference with a Deterministic Objective: Faster, More Accurate, and Even More Black Box

A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets

Program Analysis of Probabilistic Programs


A modular implementation of timely dataflow in Rust

Disaggregation and the Application

New Directions in Cloud Programming

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

Graphsurge: Graph Analytics on View Collections Using Differential Computation

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

A Survey and Experimental Analysis of Distributed Subgraph Matching

A cross-technology benchmark for incremental graph queries

The Renoir Dataflow Platform: Efficient Data Processing without Complexity


Quickly search, compare, and analyze genomic and metagenomic data sets.

Large-scale sequence comparisons with sourmash

Lightweight compositional analysis of metagenomes with FracMinHash and minimum metagenome covers

Debiasing FracMinHash and deriving confidence intervals for mutation rates across a wide range of evolutionary distances

An encoding of genome content for machine learning


Fast and memory-efficient exact attention

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Efficient Memory Management for Large Language Model Serving with PagedAttention

FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning

LongNet: Scaling Transformers to 1,000,000,000 Tokens

TrustLLM: Trustworthiness in Large Language Models

ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities

Simple linear attention language models balance the recall-throughput
  tradeoff

RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark

FlashAttention-3: Fast and Accurate Attention with Asynchrony and
  Low-precision

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining


Keras documentation, hosted live at keras.io

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Masked Autoencoders Are Scalable Vision Learners

Denoising Diffusion Implicit Models

Neural Discrete Representation Learning

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

ViViT: A Video Vision Transformer

Training Generative Adversarial Networks with Limited Data

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Escaping the Big Data Paradigm with Compact Transformers


The efficient SMT-based context-bounded model checker (ESBMC)

A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification

ESBMC: Scalable and Precise Test Generation based on the Floating-Point Theory

ESBMC-CHERI: towards verification of C programs for CHERI platforms with ESBMC

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

ESBMC-Solidity: An SMT-Based Model Checker for Solidity Smart Contracts

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

ESBMC v7.4: Harnessing the Power of Intervals

Verifying Software Vulnerabilities in IoT Cryptographic Protocols

Verifying Security Vulnerabilities in Large Software Systems using Multi-Core k-Induction

ESBMC v7.3: Model Checking C++ Programs using Clang AST

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


SAM Simulation Core (SSC) contains the underlying performance and financial models for SAM

Review of Open Source Tools for PV Modeling

Zenodo (CERN European Organization for Nuclear Research)

A solar energy desalination analysis tool, sedat, with data and models for selecting technologies and regions

Effect of Sampling Rate on Photovoltaic Self-Consumption in Load Shifting Simulations


Facebook AI Performance Evaluation Platform

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

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

The 3rd International Workshop on Deep Learning for Mobile Systems and Applications

2018 Low-Power Image Recognition Challenge

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

The Design and Implementation of a Scalable Deep Learning Benchmarking Platform

International Conference on Cloud Computing

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale


Open source SDR 4G software suite from Software Radio Systems (SRS) https://docs.srsran.com/projects/4g

Practical Attacks Against Privacy and Availability in 4G/LTE Mobile Communication Systems

Frankenstein: Advanced Wireless Fuzzing to Exploit New Bluetooth Escalation Targets

Fair Coexistence of Scheduled and Random Access Wireless Networks: Unlicensed LTE/WiFi

Easy 4G/LTE IMSI Catchers for Non-Programmers

Towards 5G-based IoT security analysis against Vo5G eavesdropping

Prototyping Next-Generation O-RAN Research Testbeds with SDRs

Software Defined Radio Platforms for Wireless Technologies

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

A softwarized perspective of the 5G networks

An Overview of the Drone Open-Source Ecosystem


The PyTorch-based audio source separation toolkit for researchers

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

IEEE/ACM transactions on audio, speech, and language processing

Deep clustering: Discriminative embeddings for segmentation and separation

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

TasNet: time-domain audio separation network for real-time, single-channel speech separation

Alternative Objective Functions for Deep Clustering

International Conference on Acoustics, Speech, and Signal Processing

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

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

TorchAudio: Building Blocks for Audio and Speech Processing

Sudo RM -RF: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)


A guidance language for controlling large language models.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

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

Automatic Chain of Thought Prompting in Large Language Models

ART: Automatic multi-step reasoning and tool-use for large language models

Cognitive Architectures for Language Agents

Cumulative Reasoning with Large Language Models

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

Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?

MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities

Bring Your Own Data! Self-Supervised Evaluation for Large Language Models


Strawberry Fields is a full-stack Python library for designing, simulating, and optimizing continuous variable (CV) quantum optical circuits.

Quantum Chemistry in the Age of Quantum Computing

Open source software in quantum computing

Production of photonic universal quantum gates enhanced by machine learning

Fast Simulation of Bosonic Qubits via Gaussian Functions in Phase Space

Efficient construction of matrix-product representations of many-body Gaussian states


A Software Framework for Neuromorphic Computing

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking

The Intel neuromorphic DNS challenge

Neuromorphic hardware for sustainable AI data centers


ECP-CANDLE Benchmarks

TopoOpt: Co-optimizing Network Topology and Parallelization Strategy for Distributed Training Jobs

Scalable Reinforcement-Learning-Based Neural Architecture Search for Cancer Deep Learning Research

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Toward Sustainable HPC: Carbon Footprint Estimation and Environmental Implications of HPC Systems

Recombination of Artificial Neural Networks

AI-coupled HPC Workflow Applications, Middleware and Performance

GraphPipe: Improving Performance and Scalability of DNN Training with Graph Pipeline Parallelism

HPTMT Parallel Operators for High Performance Data Science and Data Engineering


Ride-Hailing for Autonomous Vehicles: Hyperledger Fabric-Based Secure and Decentralize Blockchain Platform

2021 IEEE International Conference on Big Data (Big Data)

Requirements for Ethereum Private Sidechains

Toward a Secure and Decentralized Blockchain-based Ride-Hailing Platform for Autonomous Vehicles

Lockless Transaction Isolation in Hyperledger Fabric

Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management


The Ethereum Wiki

Bitcoin-NG: A Scalable Blockchain Protocol

Blockchain distributed ledger technologies for biomedical and health care applications

Journal of the American Medical Informatics Association : JAMIA

Untangling Blockchain: A Data Processing View of Blockchain Systems

BLOCKBENCH: A Framework for Analyzing Private Blockchains

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

An overview on smart contracts: Challenges, advances and platforms

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

Smart Contract-Based Access Control for the Internet of Things

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Blockchain Based Decentralized Management of Demand Response Programs in Smart Energy Grids


Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

K-BERT: Enabling Language Representation with Knowledge Graph

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

NSP-BERT: A Prompt-based Few-Shot Learner through an Original Pre-training Task —— Next Sentence Prediction

Which Encoding is the Best for Text Classification in Chinese, English, Japanese and Korean?

Mengzi: Towards Lightweight yet Ingenious Pre-trained Models for Chinese

CSL: A Large-scale Chinese Scientific Literature Dataset

Parallel Corpus Filtering via Pre-trained Language Models

A Joint Learning Framework for the CCKS-2020 Financial Event Extraction Task

Parameter-efficient Continual Learning Framework in Industrial Real-time Text Classification System

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


fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols

Tracing Your Smart-Home Devices Conversations: A Real World IoT Traffic Data-Set

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

Hidden in Plain Sight: Exploring Encrypted Channels in Android apps

Representation Learning for Content-Sensitive Anomaly Detection in Industrial Networks


A deep learning framework for molecular docking

Protein-Ligand Scoring with Convolutional Neural Networks

Journal of chemical information and modeling

Recent advances and applications of deep learning methods in materials science

GNINA 1.0: Molecular Docking with Deep Learning

Hidden Bias in the DUD-E Dataset Leads to Misleading Performance of Deep Learning in Structure-Based Virtual Screening

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

Visualizing Convolutional Neural Network Protein-Ligand Scoring

Journal of molecular graphics & modelling

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding

A Review on Parallel Virtual Screening Softwares for High-Performance Computers

Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks

On-the-fly Prediction of Protein Hydration Densities and Free Energies using Deep Learning


Quickly and accurately render even the largest data.

Vaex: big data exploration in the era of Gaia

Toward reproducible, scalable, and robust data analysis across multiplex tissue imaging platforms

Plotly-Resampler: Effective Visual Analytics for Large Time Series

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

Proceedings of the International Astronomical Union

Data Point Selection for Line Chart Visualization: Methodological Assessment and Evidence-Based Guidelines

MinMaxLTTB: Leveraging MinMax-Preselection to Scale LTTB

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


Random instruction generator for RISC-V processor verification

Optimizing Design Verification using Machine Learning: Doing better than Random

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges

ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers

Randomized Testing of RISC-V CPUs Using Direct Instruction Injection


Lightweight, general, scalable C++ library for finite element methods

MFEM: a modular finite element methods library

Computers and Mathematics with Applications

Scalability of High-Performance PDE Solvers

LaSDI: Parametric Latent Space Dynamics Identification

Reduced order models for Lagrangian hydrodynamics

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition

An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD

Low-order preconditioning for the high-order finite element de Rham complex

Numerical results for adaptive (negative norm) constrained first order system least squares formulations

Weak-Form Latent Space Dynamics Identification

Proximal Galerkin: A structure-preserving finite element method for pointwise bound constraints


Groundwater Wells and Aquifers application for the Ministry of Environment


Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Ethically Responsible Machine Learning in Fintech

A Review of the Role of Causality in Developing Trustworthy AI Systems

A Comprehensive Review on Financial Explainable AI


Research. Shared.

Computing Linear Restrictions of Neural Networks

The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers

FAIREST: A Framework for Assessing Research Repositories

Software publications with rich metadata: state of the art, automated workflows and HERMES concept

Catalog and Entity Management Service for Internet of Things-Based Smart Environments

Signing data citations enables data verification and citation persistence

DataVault: a data storage infrastructure for the Einstein Toolkit

Subcellular protein localisation of Trypanosoma brucei bloodstream form-upregulated proteins maps stage-specific adaptations


Open source eye tracking

Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction

DeepVOG: Open-source pupil segmentation and gaze estimation in neuroscience using deep learning

A new comprehensive eye-tracking test battery concurrently evaluating the Pupil Labs glasses and the EyeLink 1000

360-degree Video Gaze Behaviour: A Ground-Truth Data Set and a Classification Algorithm for Eye Movements

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

Difference in gaze control ability between low and high skill players of a real-time strategy game in esports

A Multi-Modal Gait Database of Natural Everyday-Walk in an Urban Environment

Do Smart Glasses Dream of Sentimental Visions?

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

EyeNet: A Multi-Task Network for Off-Axis Eye Gaze Estimation and User Understanding

Visual anticipation of the future path: Predictive gaze and steering


The City Energy Analyst (CEA)

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


A fast line-by-line code for high-resolution infrared molecular spectra


The reference P4 software switch

Heavy-Hitter Detection Entirely in the Data Plane

A survey on data plane programming with P4: Fundamentals, advances, and applied research

P4-IPsec: Site-to-Site and Host-to-Site VPN with IPsec in P4-Based SDN

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

In-Network Volumetric DDoS Victim Identification Using Programmable Commodity Switches

IEEE Transactions on Network and Service Management

Tracking Normalized Network Traffic Entropy to Detect DDoS Attacks in P4

QROUTE: An Efficient Quality of Service (QoS) Routing Scheme for Software-Defined Overlay Networks

Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing

FastReact: In-Network Control and Caching for Industrial Control Networks using Programmable Data Planes

Random Linear Network Coding on Programmable Switches


Keras community contributions

Overinterpretation reveals image classification model pathologies

Deep Insights of Deepfake Technology : A Review

Comparing Normalization Methods for Limited Batch Size Segmentation Neural Networks

International Conference on Telecommunications and Signal Processing

InstantDL: an easy-to-use deep learning pipeline for image segmentation and classification

Resource Mention Extraction for MOOC Discussion Forums

MeLa: A Programming Language for a New Multidisciplinary Oceanographic Float


This repository combines the code from and supersedes the prior existing Shared, Platform, Protocol-Adapter-OSLP, Protocol-Adapter-IEC61850, Protocol-Adapter-DLMS, PublicLightingDemoApp and Integration-Tests repositories. The old repositories have been kept online for now in readonly mode to preserve the historical information.


A Framework for Building Robust Shiny Apps

Biodose Tools: an R shiny application for biological dosimetry

International journal of radiation biology

The Rockerverse: Packages and Applications for Containerisation with R

A streamlined workflow for conversion, peer review, and publication of genomics metadata as omics data papers

Developing best practices for genotyping-by-sequencing analysis in the construction of linkage maps

CANVS: an easy-to-use application for the analysis and visualization of mass spectrometry-based protein-protein interaction/association data


TCP port scanner, spews SYN packets asynchronously, scanning entire Internet in under 5 minutes.

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

LZR: Identifying Unexpected Internet Services

No Need for Black Chambers: Testing TLS in the E-mail Ecosystem at Large

ZDNS: A Fast DNS Toolkit for Internet Measurement

Proceedings of the 22nd ACM Internet Measurement Conference

Spoki: Unveiling a New Wave of Scanners through a Reactive Network Telescope

Online Discoverability and Vulnerabilities of ICS/SCADA Devices in the Netherlands

Democratizing LEO Satellite Network Measurement

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

Stratosphere: Finding Vulnerable Cloud Storage Buckets


A toolkit for machine learning from time series

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

A tale of two toolkits, report the third: on the usage and performance of HIVE-COTE v1.0.

Bake off redux: a review and experimental evaluation of recent time series classification algorithms

A Review and Evaluation of Elastic Distance Functions for Time Series Clustering

Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression

aeon: a Python toolkit for learning from time series

A Dictionary-based approach to Time Series Ordinal Classification

Convolutional and Deep Learning based techniques for Time Series Ordinal Classification


A "device memory" enabling project encompassing tools and libraries for CXL, NVDIMMs, DAX, memory tiering and other platform memory device topics.

Persistent Memory I/O Primitives

Building blocks for persistent memory

I/O Transit Caching for PMem-based Block Device


Linux-CAN / SocketCAN user space applications

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

System, Design and Experimental Validation of Autonomous Vehicle in an Unconstrained Environment

A comprehensive guide to CAN IDS data and introduction of the ROAD dataset

ReCAN – Dataset for reverse engineering of Controller Area Networks

My other car is your car: compromising the Tesla Model X keyless entry system

IACR Transactions on Cryptographic Hardware and Embedded Systems

N 2 C : Neural Network Controller Design Using Behavioral Cloning

Covert Channel-Based Transmitter Authentication in Controller Area Networks

Addressing the Lack of Comparability & Testing in CAN Intrusion Detection Research: A Comprehensive Guide to CAN IDS Data & Introduction of the ROAD Dataset


Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Implicit Neural Representations for Image Compression

VoxelContext-Net: An Octree based Framework for Point Cloud Compression

Variable Bitrate Neural Fields

Dynamic Adaptive Point Cloud Streaming

Proceedings of the 23rd Packet Video Workshop

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Joint Communication and Computational Resource Allocation for QoE-driven Point Cloud Video Streaming

Deep Implicit Volume Compression

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Textured Mesh Quality Assessment: Large-scale Dataset and Deep Learning-based Quality Metric


A toolbox for zkSNARKs on Ethereum

Blockchain-based Firmware Update Scheme Tailored for Autonomous Vehicles

Non-Interactive Zero-Knowledge for Blockchain: A Survey

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

ElectAnon: A Blockchain-Based, Anonymous, Robust and Scalable Ranked-Choice Voting Protocol

Non-Disclosing Credential On-chaining for Blockchain-based Decentralized Applications

Trustworthy Pre-Processing of Sensor Data in Data On-chaining Workflows for Blockchain-based IoT Applications

zkay v0.2: Practical Data Privacy for Smart Contracts

Short Paper: Design and Evaluation of Privacy-preserved Supply Chain System based on Public Blockchain

Technology Review of Blockchain Data Privacy Solutions

Verifiable Carbon Accounting in Supply Chains


Hurricane Analysis and Forecast System


SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

A multi-resolution SPH method for fluid-structure interactions

SPHinXsys: An open-source multi-physics and multi-resolution library based on smoothed particle hydrodynamics

An integrative smoothed particle hydrodynamics method for modeling cardiac function

Computer Methods in Applied Mechanics and Engineering

An efficient fully Lagrangian solver for modeling wave interaction with oscillating wave surge converter

A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics

Extended Eulerian SPH and its realization of FVM

An SPH formulation for general plate and shell structures with finite deformation and large rotation

A fourth-order kernel for improving numerical accuracy and stability in Eulerian and total Lagrangian SPH

Essentially non-hourglass and non-tensile-instability SPH elastic dynamics


PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large
  Language Models

XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding

Findings of the Association for Computational Linguistics: ACL 2022

UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Kosmos-2.5: A Multimodal Literate Model

The Legal Argument Reasoning Task in Civil Procedure

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

Training ChatGPT Models in Assisting Urologists in Daily Practice

Studies in health technology and informatics


Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Continual Learning Through Synaptic Intelligence

Progressive Neural Networks

Continual Learning with Deep Generative Replay

Memory Aware Synapses: Learning what (not) to forget

Efficient Lifelong Learning with A-GEM

Large Scale Incremental Learning