The C-based Firmware Patching Framework for Broadcom/Cypress WiFi Chips that enables Monitor Mode, Frame Injection and much more

Human Activity Recognition Using CSI Information with Nexmon

WiFi-based Human Activity Recognition using Raspberry Pi

International Conference on Tools with Artificial Intelligence

Accurate ubiquitous localization with off-the-shelf IEEE 802.11ac devices

International Conference on Mobile Systems, Applications, and Services

Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints

QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices

A Case Study on the Monitor Mode Passive Capturing of WLAN Packets in an On-the-Move Setup

Motion Detection using CSI from Raspberry Pi 4


Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

LAION-5B: An open large-scale dataset for training next generation image-text models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

DataComp: In search of the next generation of multimodal datasets

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Poisoning Web-Scale Training Datasets is Practical

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web

Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation


Module for automatic summarization of text documents and HTML pages.

Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports

Learning to Summarize Radiology Findings

100,000 Podcasts: A Spoken English Document Corpus

International Conference on Computational Linguistics

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation

A Summarization System for Scientific Documents

Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback

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

A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence

Dataset for Automatic Summarization of Russian News

Communications in computer and information science

The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach

Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1


Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

Monitoring of SARS‐CoV‐2 infection in mustelids

EFSA journal. European Food Safety Authority

Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection

CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay

A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses


Research prototype tool for modular formal verification of C and Java programs

Visibility reasoning for concurrent snapshot algorithms

Verification of C++ Programs with VeriFast

Verifying C++ Dynamic Binding

Ghost Signals: Verifying Termination of Busy-Waiting (Extended Version)

Modular Formal Verification of Rust Programs with Unsafe Blocks


Microbiome analysis

Defects in microvillus crosslinking sensitize to colitis and inflammatory bowel disease

The nasal microbiome in patients suffering from non-steroidal anti-inflammatory drugs-exacerbated respiratory disease in absence of corticosteroids

Is Autologous Fecal Microbiota Transfer after Exclusive Enteral Nutrition in Pediatric Crohn’s Disease Patients Rational and Feasible? Data from a Feasibility Test


CPU and GPU-accelerated Machine Learning Library

Fast Differentially Private Matrix Factorization

Parallelizing Word2Vec in Shared and Distributed Memory

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

Stochastic Gradient Descent on Highly-Parallel Architectures

Replica-exchange Nosé-Hoover dynamics for Bayesian learning on large datasets


The xAPI Specification describes communication about learner activity and experiences between technologies.

A Cloud Game-Based Educative Platform Architecture: The CyberScratch Project

Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum

Workshop on Innovative Use of NLP for Building Educational Applications

Learning Analytics Made in France: The METALproject

Taking Informed Action on Student Activity in MOOCs

PROCEEDINGS OF THE FOURTH (2017) ACM CONFERENCE ON LEARNING @ SCALE (L@S'17)

A framework to foster analysis skill for self-directed activities in data-rich environment

Research and Practice in Technology Enhanced Learning

Enriching context descriptions for enhanced LA scalability: a case study

Dataset of user interactions across four large pilots on the use of augmented reality in learning experiences


H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

LoRA: Low-Rank Adaptation of Large Language Models

h2oGPT: Democratizing Large Language Models

H2O-Danube-1.8B Technical Report

H2O Open Ecosystem for State-of-the-art Large Language Models

H2O-Danube3 Technical Report


R package for community ecologists: popular ordination methods, ecological null models & diversity analysis

Soil bacterial networks are less stable under drought than fungal networks

Broadscale Ecological Patterns Are Robust to Use of Exact Sequence Variants versus Operational Taxonomic Units

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

Interactions between soil- and dead wood-inhabiting fungal communities during the decay of Norway spruce logs

Predicting taxonomic and functional structure of microbial communities in acid mine drainage

Legacy Effects on the Recovery of Soil Bacterial Communities from Extreme Temperature Perturbation

Forest tree growth is linked to mycorrhizal fungal composition and function across Europe

Root and Rhizosphere Bacterial Phosphatase Activity Varies with Tree Species and Soil Phosphorus Availability in Puerto Rico Tropical Forest

Best practices on the differential expression analysis of multi-species RNA-seq

Featured Gut Microbiomes Associated With the Progression of Chronic Hepatitis B Disease


TLSH (C++ version)

Bytewise Approximate Matching: The Good, The Bad, and The Unknown

The journal of digital forensics, security and law

JavaScript Malware Detection Using Locality Sensitive Hashing

Hashing Incomplete and Unordered Network Streams

International Conference on Digital Forensics

Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework.


The Operator Splitting QP Solver

Global optimization via inverse distance weighting and radial basis functions

GPU acceleration of ADMM for large-scale quadratic programming

Journal of Parallel and Distributed Computing

Proper Plasma Analysis Practice (PPAP), an Integrated Procedure of Extinction Correction and Plasma Diagnostics: A Demo with an HST/WFC3 Image Set of NGC 6720

Publications of the Astronomical Society of the Pacific

A Simple and Fast Coordinate-Descent Augmented-Lagrangian Solver for Model Predictive Control

Fast Iterative Region Inflation for Computing Large 2-D/3-D Convex
  Regions of Obstacle-Free Space

Exact and Heuristic Methods with Warm-start for Embedded Mixed-Integer Quadratic Programming Based on Accelerated Dual Gradient Projection

The Proximal Map of the Weighted Mean Absolute Error


A Database of Real Faults and an Experimental Infrastructure to Enable Controlled Experiments in Software Engineering Research

Machine Learning Testing: Survey, Landscapes and Horizons

TBar: Revisiting Template-based Automated Program Repair

PROCEEDINGS OF THE 28TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS (ISSTA '19)

FixMiner: Mining relevant fix patterns for automated program repair

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

AVATAR : Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems

BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair

Selecting fault revealing mutants


BESCA (Beyond Single Cell Analysis) offers python functions for single-cell analysis

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Dissecting the Mechanisms Underlying the Cytokine Release Syndrome (CRS) Mediated by T-Cell Bispecific Antibodies

Clinical cancer research : an official journal of the American Association for Cancer Research


Tools to make weather data accessible and useful.


Android ViewServer and ADB client

Translating Video Recordings of Mobile App Usages into Replayable Scenarios

International Conference on Software Engineering

"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills

The importance of granularity in multiobjective optimization of mobile cloud hybrid applications

Transactions on Emerging Telecommunications Technologies

Translating Video Recordings of Complex Mobile App UI Gestures into Replayable Scenarios

Responding to Targeted Stealthy Attacks on Android Using Timely-Captured Memory Dumps

Towards Efficient Record and Replay: A Case Study in WeChat

PoPL: Proof-of-Presence and Locality, or how to secure financial transactions on your smartphone.

AppQ: Warm-starting App Recommendation Based on View Graphs

VEDRANDO: A Novel Way to Reveal Stealthy Attack Steps on Android through Memory Forensics

Detection of SSL/TLS Implementation Errors in Android Applications

Gazi Üniversitesi Fen Bilimleri Dergisi Part C: Tasarım ve Teknoloji


GCAM -- The Global Change Analysis Model

A plant-by-plant strategy for high-ambition coal power phaseout in China

GCAM v5.1: Representing the linkages between energy, water, land,
climate, and economic systems

Air pollution control strategies directly limiting national health damages in the US

Fusing subnational with national climate action is central to decarbonization: the case of the United States

The role of direct air capture and negative emissions technologies in the shared socioeconomic pathways towards +1.5 °C and +2 °C futures

Impacts of long-term temperature change and variability on electricity investments

1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100

The role of negative emissions in meeting China’s 2060 carbon neutrality goal

Integrated Assessment Modeling of Korea's 2050 Carbon Neutrality Technology Pathways

Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model


The high-performance database for modern applications

Columnar Storage and List-based Processing for Graph Database Management Systems

Distributed graphs: in search of fast, low-latency, resource-efficient, semantics-rich Big-Data processing.


Idealized GCM from the University of Exeter

The effects of gravity on the climate and circulation of a terrestrial planet

Quarterly Journal of the Royal Meteorological Society

Atmospheric Circulation and Thermal Phase-curve Offset of Tidally and Nontidally Locked Terrestrial Exoplanets

qgs: A flexible Python framework of reduced-order multiscale climate models

Reduced terrestrial evaporation increases atmospheric water vapor by generating cloud feedbacks

Collapse of the General Circulation in Shortwave-absorbing Atmospheres: An Idealized Model Study

Role of Surface Gravity Waves in Aquaplanet Ocean Climates

Journal of advances in modeling earth systems

Exploring Mechanisms for Model‐Dependency of the Stratospheric Response to Arctic Warming

Journal of Geophysical Research: Atmospheres

Non‐Uniqueness in ITCZ Latitude Due To Radiation‐Circulation Coupling in an Idealized GCM

Journal of Advances in Modeling Earth Systems


:floppy_disk: C++ & Python API for Scientific I/O

Modeling of advanced accelerator concepts

Snowmass21 Accelerator Modeling Community White Paper

From Compact Plasma Particle Sources to Advanced Accelerators with Modeling at Exascale

Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring


ProjectQ: An open source software framework for quantum computing

Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights

Quantum computing with Qiskit

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

Efficient Implementation of PRESENT and GIFT on Quantum Computers


Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Image-based table recognition: data, model, and evaluation

DocBank: A Benchmark Dataset for Document Layout Analysis

The Semantic Scholar Open Data Platform

Legal Area Classification: A Comparative Study of Text Classifiers on Singapore Supreme Court Judgments

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document
  Understanding

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

PAWLS: PDF Annotation With Labels and Structure

Vision Grid Transformer for Document Layout Analysis

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

Multimodal Tree Decoder for Table of Contents Extraction in Document Images


Technical Analysis Library using Pandas and Numpy

A Hybrid Framework Using PCA, EMD and LSTM Methods for Stock Market Price Prediction with Sentiment Analysis

Deep Prediction of Investor Interest: a Supervised Clustering Approach

Improving Portfolio Performance Using a Novel Method for Predicting Financial Regimes


Reduce the environmental footprint of your software programs with SonarQube


The CMU Link Grammar natural language parser

How Decoding Strategies Affect the Verifiability of Generated Text

The Annotation Guideline of LST20 Corpus

Natural Language Generation Using Link Grammar for General Conversational Intelligence


CogniCrypt_SAST: CrySL-to-Static Analysis Compiler

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

To Fix or Not to Fix: A Critical Study of Crypto-misuses in the Wild

Integration of the Static Analysis Results Interchange Format in CogniCrypt

Supporting Error Chains in Static Analysis for Precise Evaluation
  Results and Enhanced Usability


The simplest, fastest repository for training/finetuning medium-sized GPTs.

Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training

What Algorithms can Transformers Learn? A Study in Length Generalization

Teaching Arithmetic to Small Transformers

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Chain of Thought Empowers Transformers to Solve Inherently Serial
  Problems

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows
  with Applications to Protein Co-Design

Large Language Models Suffer From Their Own Output: An Analysis of the Self-Consuming Training Loop

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

A Tale of Tails: Model Collapse as a Change of Scaling Laws

A Latent Space Theory for Emergent Abilities in Large Language Models


A set of extension codes, utilities, and scripts for the enterprise PTA analysis framework.

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: Inferences in the stochastic gravitational-wave background search

Monthly Notices of the Royal Astronomical Society

Astrophysics Milestones for Pulsar Timing Array Gravitational-wave Detection

Primordial gravitational waves in the nano-Hertz regime and PTA data — towards solving the GW inverse problem

Non-tensorial gravitational wave background in NANOGrav 12.5-year data set

中国科学. 物理学 力学 天文学

Noise analysis in the European Pulsar Timing Array data release 2 and its implications on the gravitational-wave background search

Fast Bayesian analysis of individual binaries in pulsar timing array data

Null energy condition violation during inflation and pulsar timing array observations

The NANOGrav 12.5 yr Data Set: Search for Gravitational Wave Memory

Measuring kinematic anisotropies with pulsar timing arrays

Systematic errors in searches for nanohertz gravitational waves


Context Broker and CEF building block for context data management which supports both the NGSI-LD and the NGSI-v2 APIs

A Standard-Based Open Source IoT Platform: FIWARE

Using FIWARE and blockchain in smart cities solutions

VirIoT: A Cloud of Things That Offers IoT Infrastructures as a Service

Overcoming the Barriers of Using Linked Open Data in Smart City Applications

Fostering the integration of European Open Data into Data Spaces through
  High-Quality Metadata


Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

PyPSA-Eur: An open optimisation model of the European transmission system

An autopilot for energy models -- automatic generation of renewable supply curves, hourly capacity factors and hourly synthetic electricity demand for arbitrary world regions

On the means, costs, and system-level impacts of 24/7 carbon-free energy procurement

Benefits from Islanding Green Hydrogen Production


Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Deep Exploration via Bootstrapped DQN

DeepMind Control Suite

StarCraft II: A New Challenge for Reinforcement Learning


A Complete Server implementation of the OGC SensorThings API

Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities

MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS

International Conference Smart Data and Smart Cities

INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API

Thing Directory: Simple and lightweight registry of IoT device metadata

IoT Workload Emulation for Data Centers


A high performance and generic framework for distributed DNN training

A Quantitative Survey of Communication Optimizations in Distributed Deep Learning

DAPPLE: A Pipelined Data Parallel Approach for Training Large Models

Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes

Egeria: Efficient DNN Training with Knowledge-Guided Layer Freezing

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

DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining

dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training

Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling


Building Optimization Performance Tests


Reach Biomedical Information Extraction

Large-scale automated machine reading discovers new cancer-driving mechanisms

Database : the journal of biological databases and curation

Automated assembly of molecular mechanisms at scale from text mining and curated databases

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections

INDRA-IPM: interactive pathway modeling using natural language with automated assembly

Assembling a corpus of phosphoproteomic annotations using ProtMapper to normalize site information from databases and text mining

This before That: Causal Precedence in the Biomedical Domain

Sieve-based Coreference Resolution in the Biomedical Domain

Swanson linking revisited: Accelerating literature-based discovery across domains using a conceptual influence graph

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS

Neural Architectures for Biological Inter-Sentence Relation Extraction

Learning what to read: Focused machine reading


Scalable symbolic-numeric set computations in Julia

Algorithms for Verifying Deep Neural Networks

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

ARCH-COMP19 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Synthesis of Hybrid Automata with Affine Dynamics from Time-Series Data

Conservative Time Discretization: A Comparative Study

ARCH-COMP18 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Combining Set Propagation with Finite Element Methods for Time Integration in Transient Solid Mechanics Problems


This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code.

A quasi-isodynamic configuration with good confinement of fast ions at low plasma β

Gradient-based optimization of 3D MHD equilibria

Design of an arrangement of cubic magnets for a quasi-axisymmetric stellarator experiment

A neoclassically optimized compact stellarator with four planar coils


A 3D computer vision development toolkit based on PaddlePaddle. It supports point-cloud object detection, segmentation, and monocular 3D object detection models.

nuScenes: A multimodal dataset for autonomous driving

PointPillars: Fast Encoders for Object Detection from Point Clouds

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Center-based 3D Object Detection and Tracking

Categorical Depth Distribution Network for Monocular 3D Object Detection

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

CAPE: Camera View Position Embedding for Multi-View 3D Object Detection


A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and Normalization

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation


Open source 5G UE and RAN (gNodeB) implementation.

Tutorial on communication between access networks and the 5G core

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

Accelerating Handover in Mobile Satellite Network

A Modular, End-to-End Next-Generation Network Testbed: Towards a Fully
  Automated Network Management Platform

Deep Reinforcement Learning Based Resource Allocation for Cloud Native Wireless Network

A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core Study

P3LI5: Practical and confidEntial Lawful Interception on the 5G core


TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

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

BARS: Towards Open Benchmarking for Recommender Systems

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Unified Embedding: Battle-Tested Feature Representations for Web-Scale ML Systems


MAPL is a foundation layer of the GEOS architecture, whose original purpose is to supplement the Earth System Modeling Framework (ESMF)


PowerSploit - A PowerShell Post-Exploitation Framework

Detecting Malicious PowerShell Commands using Deep Neural Networks

Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward

The Dangerous Combo: Fileless Malware and Cryptojacking

Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response

SoK: A Survey of Open-Source Threat Emulators

Hijacking .NET to Defend PowerShell

PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers


Fast and efficient ed25519 signing and verification in Rust.

Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus

Bullshark: DAG BFT Protocols Made Practical

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

FastPay: High-Performance Byzantine Fault Tolerant Settlement

Be Aware of Your Leaders

uBFT: Microsecond-Scale BFT using Disaggregated Memory

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Zef: Low-latency, Scalable, Private Payments

Performance of EdDSA and BLS Signatures in Committee-Based Consensus

Robust, privacy-preserving, transparent, and auditable on-device blocklisting


CMS Offline Software

Jet flavour classification using DeepJet

Looking Inside Jets

Precise Simulation of Electromagnetic Calorimeter Showers Using a Wasserstein Generative Adversarial Network

9.6 Million Links in Source Code Comments: Purpose, Evolution, and Decay

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

GeantV: Results from the prototype of concurrent vector particle transport simulation in HEP

Observation of triple J/ψ meson production in proton-proton collisions

Strategic Plan for a Scientific Software Innovation Institute (S2I2) for High Energy Physics

Top tagging: an analytical perspective

Exploiting Apache Spark platform for CMS computing analytics


Open source framework for ocean trajectory modelling

Circulation of the European northwest shelf: a Lagrangian perspective

OpenDrift v1.0: a generic framework for trajectory modeling

Operational Modeling of North Aegean Oil Spills Forced by Real-Time Met-Ocean Forecasts

Journal of Marine Science and Engineering

Pathways and Water Mass Transformation Along and Across the Mohn‐Knipovich Ridge in the Nordic Seas

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants

EnviRisk – Automated Environmental Risk Assessment for Ship Traffic in Norwegian Waters

International Oil Spill Conference Proceedings


VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

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

Learning Transferable Visual Models From Natural Language Supervision

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Emerging Properties in Self-Supervised Vision Transformers

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

BEiT: BERT Pre-Training of Image Transformers


Tools and service for differentially private processing of tabular and relational data

Benchmarking Differentially Private Synthetic Data Generation Algorithms

Differentially Private Synthetic Data: Applied Evaluations and Enhancements

A Unified Framework for Quantifying Privacy Risk in Synthetic Data

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Privacy and Utility of Private Synthetic Data for Medical Data Analyses

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

Differentially Private Release of Israel's National Registry of Live
  Births

On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation

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

"What do you want from theory alone?" Experimenting with Tight Auditing
  of Differentially Private Synthetic Data Generation


An ecosystem water balance simulation model


MEV-Boost allows Ethereum validators to source high-MEV blocks from a competitive builder marketplace

Ethereum's Proposer-Builder Separation: Promises and Realities

Ethereum Proof-of-Stake Consensus Layer: Participation and Decentralization

Time is Money: Strategic Timing Games in Proof-of-Stake Protocols

Price of MEV: Towards a Game Theoretical Approach to MEV

Blockchains, MEV and the knapsack problem: a primer


Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

Highly accurate protein structure prediction with AlphaFold

Geometry-enhanced molecular representation learning for property prediction

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

HelixFold-Single: MSA-free Protein Structure Prediction by Using Protein Language Model as an Alternative

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle

Distance-aware Molecule Graph Attention Network for Drug-Target Binding Affinity Prediction

GEM-2: Next Generation Molecular Property Prediction Network by Modeling Full-range Many-body Interactions

Efficient and Accurate Physics-aware Multiplex Graph Neural Networks for 3D Small Molecules and Macromolecule Complexes

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling

LiteGEM: Lite Geometry Enhanced Molecular Representation Learning for Quantum Property Prediction


A "batteries-included" distribution of ImageJ :battery:

Validation analysis of EMDB entries

Osteoclast-mediated resorption primes the skeleton for successful integration during axolotl limb regeneration

MDA5 RNA-sensing pathway activation by Mycobacterium tuberculosis promotes innate immune subversion and pathogen survival

Dysregulated Cell–Cell Communication Characterizes Pulmonary Fibrosis

Colonic epithelial adaptation to EGFR-independent growth induces chromosomal instability and is accelerated by prior injury

Extravasation of biodegradable microspheres in the rat brain

An Improved Protocol for the Matrigel Duplex Assay: A Method to Measure Retinal Angiogenesis

Screening autism-associated environmental factors in differentiating human neural progenitors with fractional factorial design-based transcriptomics


R Interface to the jQuery Plug-in DataTables

FibroDB: Expression Analysis of Protein-Coding and Long Non-Coding RNA Genes in Fibrosis

Emergence of distinct syntenic density regimes is associated with early metazoan genomic transitions

T2DB: A Web Database for Long Non-Coding RNA Genes in Type II Diabetes

DoxoDB: A Database for the Expression Analysis of Doxorubicin-Induced lncRNA Genes

ceRNAshiny: An Interactive R/Shiny App for Identification and Analysis of ceRNA Regulation


Open source implementation of quantum internet simulation package

A Quantum Internet Architecture

Resource Allocation in Quantum Networks for Distributed Quantum Computing

International Conference on Smart Computing

Bug Characteristics in Quantum Software Ecosystem

Entanglement Swapping in Orbit: a Satellite Quantum Link Case Study


Deep Reinforcement Learning for Keras.

Dopamine: A Research Framework for Deep Reinforcement Learning

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Reinforcement Learning with Perturbed Rewards

d3rlpy: An Offline Deep Reinforcement Learning Library

Ensemble-Based Deep Reinforcement Learning for Chatbots

MushroomRL: Simplifying Reinforcement Learning Research

AllenAct: A Framework for Embodied AI Research

DRLinFluids: An open-source Python platform of coupling deep reinforcement learning and OpenFOAM

Learning to Unknot

Optimal Attacks on Reinforcement Learning Policies


SystemVerilog compiler and language services

Information Flow Coverage Metrics for Hardware Security Verification

An Investigation of Hardware Security Bug Characteristics in Open-Source
  Projects


Lucet, the Sandboxing WebAssembly Compiler.

Isolation Without Taxation: Near Zero Cost Transitions for SFI

A Lightweight Design for Serverless Function as a Service

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

FunLess: Functions-as-a-Service for Private Edge Cloud Systems


AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

An Implementation of Multimodal Fusion System for Intelligent Digital Human Generation


Tensor Network Python (TeNPy)

Efficient numerical simulations with Tensor Networks: Tensor Network Python (TeNPy)

Observation of many-body scarring in a Bose-Hubbard quantum simulator

Strain-Induced Quantum Phase Transitions in Magic-Angle Graphene

Influence Matrix Approach to Many-Body Floquet Dynamics

Microscopic evolution of doped Mott insulators from polaronic metal to Fermi liquid

Scalable spin squeezing in a dipolar Rydberg atom array

Measurements Conspire Nonlocally to Restructure Critical Quantum States

Magnetically mediated hole pairing in fermionic ladders of ultracold atoms

Coupling a Mobile Hole to an Antiferromagnetic Spin Background: Transient Dynamics of a Magnetic Polaron

Matrix product state pre-training for quantum machine learning


Advanced Terrestrial Simulator (ATS) development

Modeling the role of preferential snow accumulation in through talik development and hillslope groundwater flow in a transitional permafrost landscape

Extremely wet summer events enhance permafrost thaw for multiple years in Siberian tundra

Permafrost thermal conditions are sensitive to shifts in snow timing

Microtopographic control on the ground thermal regime in ice wedge polygons

Evaluating integrated surface/subsurface permafrost thermal hydrology models in ATS (v0.88) against observations from a polygonal tundra site

Evaluating Simplifications of Subsurface Process Representations for Field-scale Permafrost Hydrology Models

The thermal response of permafrost to coastal floodplain flooding


Numerical Black-Box Optimization Benchmarking Framework

COCO: a platform for comparing continuous optimizers in a black-box setting

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review.

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

Expected Improvement versus Predicted Value in Surrogate-Based Optimization

A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints

IEEE Transactions on Evolutionary Computation

Anytime Performance Assessment in Blackbox Optimization Benchmarking

Bayesian Optimization over Hybrid Spaces

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite


Bootstrap an OBO Library ontology

WormBase: a modern Model Organism Information Resource

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

ROBOT: A Tool for Automating Ontology Workflows

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

An Infrastructure for Collaborative Ontology Development

Frontiers in artificial intelligence and applications

An Anatomical Ontology for the Class Collembola (Arthropoda: Hexapoda)

Brazilian Archives of Biology and Technology

The Vertebrate Breed Ontology: Towards Effective Breed Data Standardization


Synthetic data generation for tabular data

On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks

A Unified Framework for Quantifying Privacy Risk in Synthetic Data

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data

Sequential Models in the Synthetic Data Vault

CTTGAN: Traffic Data Synthesizing Scheme Based on Conditional GAN

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

Generative Modeling of Complex Data

TRIAGE: Characterizing and auditing training data for improved regression

Quantifying and Mitigating Privacy Risks for Tabular Generative Models


A python library for self-supervised learning on images.

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

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Big Self-Supervised Models are Strong Semi-Supervised Learners


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


An open-source HEVC encoder

Kvazaar 2.0: Fast and Efficient Open-Source HEVC Inter Encoder

MMSYS'20: PROCEEDINGS OF THE 2020 MULTIMEDIA SYSTEMS CONFERENCE

Privacy Protection in Real Time HEVC Standard Using Chaotic System

A Survey on Energy Consumption and Environmental Impact of Video Streaming

Visual saliency guided perceptual adaptive quantization based on HEVC intra-coding for planetary images

Encoder-Decoder Based LSTM Model to Advance User QoE in 360-Degree Video

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

Rate-Distortion-Complexity Optimized Coding Scheme for Kvazaar HEVC Intra Encoder


Open Source Neural Machine Translation in Torch (deprecated)

OpenNMT: Open-Source Toolkit for Neural Machine Translation

HotFlip: White-Box Adversarial Examples for NLP

Text Style Transfer: A Review and Experimental Evaluation

Text Style Transfer

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

An Augmented Transformer Architecture for Natural Language Generation Tasks

Analyzing Knowledge Distillation in Neural Machine Translation

International Workshop on Spoken Language Translation

Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation

DFKI-MLT System Description for the WMT18 Automatic Post-editing Task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Language Generation via DAG Transduction

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


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


LiteSpeed QUIC and HTTP/3 Library

A Survey on Recent Advances in Transport Layer Protocols

IEEE Communications Surveys and Tutorials

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

A hands-on gaze on HTTP/3 security through the lens of HTTP/2 and a public dataset

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

QUIC is not Quick Enough over Fast Internet


Provides an elaborated data model to model energy systems with a high granularity e.g. for bottom-up simulations. Additionally, useful functionalities to handle the model i/o are provided as well.


Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

gCastle: A Python Toolbox for Causal Discovery

Causal-learn: Causal Discovery in Python

Greedy Relaxations of the Sparsest Permutation Algorithm

CausalRCA: Causal inference based precise fine-grained root cause localization for microservice applications

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Structure Learning with Continuous Optimization: A Sober Look and Beyond

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS


robosuite: A Modular Simulation Framework and Benchmark for Robot Learning

Hierarchical Neural Dynamic Policies

Causal Reinforcement Learning: A Survey


Lattice algorithms using floating-point arithmetic

Molecular simulation of flow-enhanced nucleation in n-eicosane melts under steady shear and uniaxial extension.

Six-loop anomalous dimension of twist-two operators in planar N=4 SYM theory

Twist-2 at seven loops in planar N = 4 SYM theory: full result and analytic properties

Sparse Recovery With Integrality Constraints

Non-planar universal anomalous dimension of twist-two operators with general Lorentz spin at four loops in N=4 SYM theory

SALSA PICANTE: a machine learning attack on LWE with binary secrets

HyperDegrade: From GHz to MHz Effective CPU Frequencies

Déjà Vu: Side-Channel Analysis of Mozilla's NSS

Conference on Computer and Communications Security

Sieve, Enumerate, Slice, and Lift:

PROGRESS IN CRYPTOLOGY - AFRICACRYPT 2020

Self-dual DeepBKZ for finding short lattice vectors


Speech recognition module for Python, supporting several engines and APIs, online and offline.

End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks

Data Augmentation for Speaker Identification under Stress Conditions to Combat Gender-Based Violence

Continual Learning for Affective Robotics: A Proof of Concept for Wellbeing

Speech-Based Surgical Phase Recognition for Non-Intrusive Surgical Skills’ Assessment in Educational Contexts

Generating machine-executable plans from end-user's natural-language instructions

ORGANA: A Robotic Assistant for Automated Chemistry Experimentation and Characterization

Kosp2e: Korean Speech to English Translation Corpus

Participant Perceptions of a Robotic Coach Conducting Positive Psychology Exercises: A Systematic Analysis

Transcranial Magnetic Stimulation-Induced Motor Cortex Activity Influences Visual Awareness Judgments

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


GRR Rapid Response: remote live forensics for incident response

Forensic Analysis of Docker Swarm Cluster using Grr Rapid Response Framework

International Journal of Advanced Computer Science and Applications

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange

Forensic analysis of the Windows telemetry for diagnostics

Increasing Windows security by hardening PC configurations

The Shape of Alerts: Detecting Malware Using Distributed Detectors by Robustly Amplifying Transient Correlations

DBJoules: An Energy Measurement Tool for Database Management Systems


Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

DeepMind Control Suite

Latent ODEs for Irregularly-Sampled Time Series

A survey and critique of multiagent deep reinforcement learning

dm_control: Software and Tasks for Continuous Control

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization

From Motor Control to Team Play in Simulated Humanoid Football

State Entropy Maximization with Random Encoders for Efficient Exploration

A Distributional View on Multi-Objective Policy Optimization

CoBERL: Contrastive BERT for Reinforcement Learning


Hybrid Systems Optimization and Performance Platform.

Turbine scale and siting considerations in wind plant layout optimization and implications for capacity density


Elephant is the Electrophysiology Analysis Toolkit

Perineuronal nets stabilize the grid cell network

Uncertainpy: A Python Toolbox for Uncertainty Quantification and Sensitivity Analysis in Computational Neuroscience

Neural Latents Benchmark '21: Evaluating latent variable models of neural population activity

Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection

The Journal of neuroscience : the official journal of the Society for Neuroscience

CalciumGAN: A Generative Adversarial Network Model for Synthesising Realistic Calcium Imaging Data of Neuronal Populations.

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Linear Time GPs for Inferring Latent Trajectories from Neural Spike Trains

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


Federated Deep Learning in PaddlePaddle

Advances and Open Problems in Federated Learning

LEAF: A Benchmark for Federated Settings

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

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges

Context Autoencoder for Self-Supervised Representation Learning

TiFL: A Tier-based Federated Learning System

Trustworthy AI: A Computational Perspective

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

Soft Computing - A Fusion of Foundations, Methodologies and Applications

Automatic sleep staging of EEG signals: recent development, challenges, and future directions

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

ACM Transactions on Computing for Healthcare


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

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Matrix Computations and Optimization in Apache Spark

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


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

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting


Video and Image Analytics for Multiple Environments

2017 Robotic Instrument Segmentation Challenge


Python API for Emma's Markov Model Algorithms

Kinetic Distance and Kinetic Maps from Molecular Dynamics Simulation

Variational Selection of Features for Molecular Kinetics

Communication: Consistent interpretation of molecular simulation kinetics using Markov state models biased with external information


Measure and Optimize Web Performance

EYEORG: A Platform For Crowdsourcing Web Quality Of Experience Measurements

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON EMERGING NETWORKING EXPERIMENTS AND TECHNOLOGIES (CONEXT'16)

A Performance Perspective on Web Optimized Protocol Stacks: TCP+TLS+HTTP/2 vs. QUIC

Proceedings of the Applied Networking Research Workshop

Perceiving QUIC: Do Users Notice or Even Care?

Is the Web ready for HTTP/2 Server Push?

Conference on Emerging Network Experiment and Technology

ERRANT: Realistic emulation of radio access networks

Sharding and HTTP/2 connection reuse revisited

PTPerf: On the Performance Evaluation of Tor Pluggable Transports

Tweaking Metasploit to Evade Encrypted C2 Traffic Detection


EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

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

Learning Transferable Visual Models From Natural Language Supervision

Distilling the Knowledge in a Neural Network

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Taming Transformers for High-Resolution Image Synthesis

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

GPT Understands, Too

K-BERT: Enabling Language Representation with Knowledge Graph

CLUE: A Chinese Language Understanding Evaluation Benchmark


Download pictures (or videos) along with their captions and other metadata from Instagram.

A First Instagram Dataset on COVID-19

Sentiment Analysis of Users' Reactions on Social Media during the Pandemic

U Ok Hun?: The digital commodification of white woman style

The Arc de Triomphe, Wrapped: Measuring Public Installation Art Engagement and Popularity through Social Media Data Analysis


Dependent Types in Haskell: Theory and Practice

Ephemeral data handling in microservices with Tquery

Ephemeral Data Handling in Microservices - Technical Report


Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Robust deep learning-based semantic organ segmentation in hyperspectral images

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Learning Affordance Landscapes for Interaction Exploration in 3D Environments

Individual tree crown delineation in high-resolution remote sensing images based on U-Net

Addressing materials' microstructure diversity using transfer learning

Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment


Library for validated numerics using interval arithmetic

Reachability of weakly nonlinear systems using Carleman linearization

Minimum stationary values of sparse random directed graphs

Rigorous computation of solutions of semi-linear PDEs on unbounded domains via spectral methods

A Cross-Platform Benchmark for Interval Computation Libraries

Stationary non-radial localized patterns in the planar Swift-Hohenberg PDE: Constructive proofs of existence

A continuity bound for the expected number of connected components of a random graph: a model for epidemics

Periodic orbits in Hořava–Lifshitz cosmologies

Constructive proofs for localized radial solutions of semilinear elliptic systems on ℝ^d

Testing the Sharpness of Known Error Bounds on the Fast Fourier Transform

Two-dimensional solitary water waves with constant vorticity, Part II:
  the deep capillary case


Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Jasper: An End-to-End Convolutional Neural Acoustic Model

Training Deep Networks with Stochastic Gradient Normalized by Layerwise Adaptive Second Moments

You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation

International Congress on Image and Signal Processing

Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq

End-to-End Speech Recognition and Disfluency Removal

Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss

EasyASR: A Distributed Machine Learning Platform for End-to-end Automatic Speech Recognition


An open source implementation of CLIP.

Learning Transferable Visual Models From Natural Language Supervision

LAION-5B: An open large-scale dataset for training next generation image-text models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

CoCa: Contrastive Captioners are Image-Text Foundation Models

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

Reproducible scaling laws for contrastive language-image learning

LiT: Zero-Shot Transfer with Locked-image text Tuning

Sigmoid Loss for Language Image Pre-Training

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

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation


sslscan tests SSL/TLS enabled services to discover supported cipher suites

Accurate TLS Fingerprinting using Destination Context and Knowledge Bases

Towards Design and Development of a Data Security and Privacy Risk Management Framework for WBAN Based Healthcare Applications

White paper on cybersecurity in the healthcare sector. The HEIR solution


[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

Development and Validation of a Deep Learning–Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images

Code Smells in Machine Learning Systems

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

An overview of open source Deep Learning-based libraries for Neuroscience


PyWavelets - Wavelet Transforms in Python

Machine-learning-based diagnostics of EEG pathology

Distributed radiomics as a signature validation study using the Personal Health Train infrastructure

Frequency-dependent Template Profiles for High-precision Pulsar Timing

A Fast Radio Burst Discovered in FAST Drift Scan Survey

Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3

Classification of multiwavelength transients with machine learning

Monthly Notices of the Royal Astronomical Society

A systematic review of Python packages for time series analysis

WaveTF: A Fast 2D Wavelet Transform for Machine Learning in Keras

Automatic Kalman-filter-based wavelet shrinkage denoising of 1D stellar spectra

Analysis of constant-Q filterbank based representations for speech emotion recognition


Head tracking software for MS Windows, Linux, and Apple OSX

Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

IEEE Transactions on Intelligent Transportation Systems

Viewport-Driven Rate-Distortion Optimized 360º Video Streaming

International Conference on Communications

Viewport-Driven Rate-Distortion Optimized 360 Video Streaming


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


BESS: Berkeley Extensible Software Switch

NFVactor: A Resilient NFV System Using the Distributed Actor Model

Benchmarking NFV Software Dataplanes

MTS: Bringing Multi-Tenancy to Virtual Networking


The Unofficial TikTok API Wrapper In Python

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

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

Will you dance to the challenge?

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

The Invasion of Ukraine Viewed through TikTok: A Dataset

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

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


Free Public Transport Assistant without Ads or Tracking


Ethereum smart contract fuzzer

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

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

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

Zenodo (CERN European Organization for Nuclear Research)

sFuzz: An Efficient Adaptive Fuzzer for Solidity Smart Contracts

Harvey: A Greybox Fuzzer for Smart Contracts

Understanding Security Issues in the NFT Ecosystem

How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection

International Symposium on Software Testing and Analysis

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

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

IEEE Communications Surveys and Tutorials

Targeted Greybox Fuzzing with Static Lookahead Analysis

Oracle-Supported Dynamic Exploit Generation for Smart Contracts


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

A Dataset of Android Libraries


System Advisor Model (SAM)

Review of open source tools for PV modeling

An Enhanced Two-Stage Grid-Connected Linear Parameter Varying Photovoltaic System Model for Frequency Support Strategy Evaluation

Generating Synthetic Net Load Data with Physics-informed Diffusion Model


A C++ standalone library for machine learning

Rethinking Evaluation in ASR: Are Our Models Robust Enough?

SlimIPL: Language-Model-Free Iterative Pseudo-Labeling

Towards Building ASR Systems for the Next Billion Users

CAPE: Encoding Relative Positions with Continuous Augmented Positional Embeddings

Flashlight: Enabling Innovation in Tools for Machine Learning

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

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

Star Temporal Classification: Sequence Classification with Partially Labeled Data


A pythonic interface for radio astronomy interferometry data (uvfits, miriad, others)

Improved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

Comparing Redundant and Sky-model-based Interferometric Calibration: A First Look with Phase II of the MWA

Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

pyuvdata: an interface for astronomical interferometeric datasets in python

Foreground modelling via Gaussian process regression: an application to HERA data

Monthly notices of the Royal Astronomical Society

Quantifying excess power from radio frequency interference in Epoch of Reionization measurements

Quantifying EoR delay spectrum contamination from diffuse radio emission

Array element coupling in radio interferometry I: a semi-analytic approach


Definition and DDLs for the OMOP Common Data Model (CDM)

Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension

A new paradigm for accelerating clinical data science at Stanford Medicine

Correction: KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

Implementation of a Cohort Retrieval System for Clinical Data Repositories Using the Observational Medical Outcomes Partnership Common Data Model: Proof-of-Concept System Validation

Web services for data warehouses: OMOP and PCORnet on i2b2

Journal of the American Medical Informatics Association : JAMIA

Comparison of Clinical Characteristics Between Clinical Trial Participants and Nonparticipants Using Electronic Health Record Data

Transformation of Electronic Health Records and Questionnaire Data to OMOP CDM: A Feasibility Study Using SG_T2DM Dataset

Treatment Patterns for Chronic Comorbid Conditions in Patients With Cancer Using a Large-Scale Observational Data Network

Preliminary exploration of survival analysis using the OHDSI common data model: a case study of intrahepatic cholangiocarcinoma

BMC medical informatics and decision making

OpenPVSignal: Advancing Information Search, Sharing and Reuse on Pharmacovigilance Signals via FAIR Principles and Semantic Web Technologies


Bayesian Phylogenetic Inference Using Graphical Models and an Interactive Model-Specification Language

Quantifying MCMC Exploration of Phylogenetic Tree Space

Early Arrival and Climatically-Linked Geographic Expansion of New World Monkeys from Tiny African Ancestors

Phycas: Software for Bayesian Phylogenetic Analysis

The rise of grasslands is linked to atmospheric CO2 decline in the late Palaeogene

Improving the performance of Bayesian phylogenetic inference under relaxed clock models

A skyline birth-death process for inferring the population size from a reconstructed tree with occurrences


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

S 308 and other X-ray emitting bubbles around Wolf-Rayet stars


An extension of Open3D to address 3D Machine Learning tasks

PointPillars: Fast Encoders for Object Detection from Point Clouds

KPConv: Flexible and Deformable Convolution for Point Clouds

PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Open3D: A Modern Library for 3D Data Processing

Point Transformer

Point-Voxel CNN for Efficient 3D Deep Learning

Submanifold Sparse Convolutional Networks


Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations

Faster Policy Learning with Continuous-Time Gradients

Parallelizing Explicit and Implicit Extrapolation Methods for Ordinary Differential Equations

Differential methods for assessing sensitivity in biological models

NonlinearSolve.jl: High-Performance and Robust Solvers for Systems of
  Nonlinear Equations in Julia


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


A fast WebAssembly interpreter and the most universal WASM runtime

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

Femto-Containers: Lightweight Virtualization and Fault Isolation For Small Software Functions on Low-Power IoT Microcontrollers

A fast in-place interpreter for WebAssembly

Potential of WebAssembly for Embedded Systems

Mediterranean Conference on Embedded Computing

Characterizing and Detecting WebAssembly Runtime Bugs

Femto-Containers: DevOps on Microcontrollers with Lightweight Virtualization & Isolation for IoT Software Modules

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

Exploring the Use of WebAssembly in HPC

Whose baseline compiler is it anyway?

Flexible Non-intrusive Dynamic Instrumentation for WebAssembly


Open-source benchmark suite for cloud microservices

Fault-tolerant and Transactional Stateful Serverless Workflows (extended version)

Placement of Microservices-based IoT Applications in Fog Computing: A Taxonomy and Future Directions

Rise of the Planet of Serverless Computing: A Systematic Review

Junkyard Computing: Repurposing Discarded Smartphones to Minimize Carbon

RescureService: A Benchmark Microservice System for the Research of Mobile Edge and Cloud Computing


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


Multiresolution Adaptive Numerical Environment for Scientific Simulation

MADNESS: A Multiresolution, Adaptive Numerical Environment for Scientific Simulation

Scalable task-based algorithm for multiplication of block-rank-sparse matrices

Irregular Applications: Architectures and Algorithms

Study and evaluation of improved automatic GPU offloading method

International Journal of Parallel, Emergent and Distributed Systems

Task-Based Algorithm for Matrix Multiplication: A Step Towards Block-Sparse Tensor Computing

Combining Pseudopotential and All Electron Density Functional Theory for the Efficient Calculation of Core Spectra Using a Multiresolution Approach.

Fast quantum algorithm for differential equations


The fast, light, and robust client for Ethereum-like networks.

A Survey on the Security of Blockchain Systems

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

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

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

Decentralization in Bitcoin and Ethereum Networks

Comparison of blockchain platforms: a systematic review and healthcare examples

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

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

Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure


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

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

Proceedings of the ACM on Programming Languages

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

The Bayesian Infinitesimal Jackknife for Variance


State-of-the-Art Source Code Plagiarism & Collusion Detection

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

Project-Based Learning and Evaluation in an Online Digital Design Course

Detecting Automatic Software Plagiarism via Token Sequence Normalization

Proceedings of the IEEE/ACM 46th International Conference on Software Engineering

LLM-PBE: Assessing Data Privacy in Large Language Models

Trained Without My Consent: Detecting Code Inclusion In Language Models
  Trained on Code


A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Fine-Tuning Language Models from Human Preferences

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

RRHF: Rank Responses to Align Language Models with Human Feedback without tears

HuatuoGPT, towards Taming Language Model to Be a Doctor

Training Socially Aligned Language Models on Simulated Social Interactions

Explore, Establish, Exploit: Red Teaming Language Models from Scratch

Aligning Large Language Models through Synthetic Feedback

The Wisdom of Hindsight Makes Language Models Better Instruction Followers

Taken out of context: On measuring situational awareness in LLMs


TensorLy: Tensor Learning in Python.

TensorLy: Tensor Learning in Python

TensorLy: tensor learning in python

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

Spectral Learning on Matrices and Tensors

Foundations and Trends® in Machine Learning

Tensor Regression

TensorShield: Tensor-based Defense Against Adversarial Attacks on Images

Blind Source Separation for NMR Spectra with Negative Intensity


Antares-Simulator is an Open Source power system simulator to quantify the adequacy or the economic performance of interconnected energy systems, at short or remote time horizons.


RISC-V Opcodes


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

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

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

Facilitating Terminology Translation with Target Lemma Annotations

Syntax-Enhanced Pre-trained Model

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

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

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

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

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

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

North American Chapter of the Association for Computational Linguistics

Ensembling Graph Predictions for AMR Parsing


An open source loadflow based on PowSyBl


Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

Data+Shift: Supporting visual investigation of data distribution shifts by data scientists

Frouros: A Python library for drift detection in machine learning systems


JUCE is an open-source cross-platform C++ application framework for desktop and mobile applications, including VST, VST3, AU, AUv3, LV2 and AAX audio plug-ins.

A Comparison of Virtual Analog Modelling Techniques for Desktop and Embedded Implementations

Randomized Overdrive Neural Networks

SynthTab: Leveraging Synthesized Data for Guitar Tablature Transcription

An Audio-Driven System For Real-Time Music Visualisation

Fun with interfaces (SVG interfaces for musical expression)

Proceedings of the 7th ACM SIGPLAN International Workshop on Functional Art, Music, Modeling, and Design


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


This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.

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

Mixed Precision Training of Convolutional Neural Networks using Integer Operations

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data

Restructuring Batch Normalization to Accelerate CNN Training

LMNet: Real-time Multiclass Object Detection on CPU using 3D LiDAR

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

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

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

Toward Understanding Deep Learning Framework Bugs


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 Rayleigh-Taylor instability by solution manifold decomposition

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

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

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


TensorFlow-based neural network library

Highly accurate protein structure prediction with AlphaFold

Neural Discrete Representation Learning

Highly accurate protein structure prediction for the human proteome

Generating Diverse High-Fidelity Images with VQ-VAE-2

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

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

Sobolev Training for Neural Networks

Relational recurrent neural networks

Unsupervised Predictive Memory in a Goal-Directed Agent

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning


Groundwater Wells and Aquifers application for the Ministry of Environment


PyPSA-Earth: A flexible Python-based open optimisation model to study energy system futures around the world.


Machine Translation for Africa

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

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

Masakhane -- Machine Translation For Africa

Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgin

Neural Machine Translation for South Africa's Official Languages


Corda is an open source blockchain project, designed for business from the start. Only Corda allows you to build interoperable blockchain networks that transact in strict privacy. Corda's smart contract technology allows businesses to transact directly, with value.

ParBlockchain: Leveraging Transaction Parallelism in Permissioned Blockchain Systems

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

Towards Global Asset Management in Blockchain Systems

FireLedger: A High Throughput Blockchain Consensus Protocol

AdaChain: A Learned Adaptive Blockchain

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

Corda Security Ontology: Example of Post-Trade Matching and Confirmation

A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

The Bedrock of Byzantine Fault Tolerance: A Unified Platform for BFT Protocol Design and Implementation

Requirement Analyses and Evaluations of Blockchain Platforms per
  Possible Use Cases


LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Wormhole: A Fast Ordered Index for In-memory Data Management

SPAA '10: PROCEEDINGS OF THE TWENTY-SECOND ANNUAL SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES

SplitFS: Reducing Software Overhead in File Systems for Persistent Memory

Symposium on Operating Systems Principles

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

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

ForkBase: An Efficient Storage Engine for Blockchain and Forkable Applications

From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric
  (Extended version)*

Broken Metre: Attacking Resource Metering in EVM


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


:snake: Complete C99 parser in pure Python

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Neural Attribution for Semantic Bug-Localization in Student Programs

Modular Tree Network for Source Code Representation Learning

TreeCaps: Tree-Based Capsule Networks for Source Code Processing

Communication-Closed Asynchronous Protocols

Automatic Loop Kernel Analysis and Performance Modeling With Kerncraft

International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems

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

Interpretation-Based Violation Witness Validation for C: NITWIT

Tools and Algorithms for Construction and Analysis of Systems

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Learning to Make Compiler Optimizations More Effective


Astropy package for source detection and photometry. Maintainer: @larrybradley

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY

DustPedia: Multiwavelength photometry and imagery of 875 nearby galaxies in 42 ultraviolet-microwave bands

ATLASGAL-selected massive clumps in the inner Galaxy - III. Dust continuum characterization of an evolutionary sample

Core-collapse, superluminous, and gamma-ray burst supernova host galaxy populations at low redshift: the importance of dwarf and starbursting galaxies

Monthly Notices of the Royal Astronomical Society

GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann

Dust emission profiles of DustPedia galaxies

The AGN luminosity fraction in merging galaxies

Point-spread Function Ramifications and Deconvolution of a Signal Dependent Blur Kernel Due to Interpixel Capacitive Coupling

Publications of the Astronomical Society of the Pacific

The AGN contribution to the UV–FIR luminosities of interacting galaxies and its role in identifying the main sequence

Spatially resolved mass–metallicity relation at z ∼ 0.26 from the MUSE-Wide Survey


LST prototype testbench chain

Physics Performance of the Large Size Telescope prototype of the Cherenkov Telescope Array

Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA

Camera Calibration of the CTA-LST prototype

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

Calibration and performance of the readout system based on switched capacitor arrays for the Large-Sized Telescope of the Cherenkov Telescope Array

Ground-based and Airborne Instrumentation for Astronomy VIII

Detection of the 2021 Outburst of RS Ophiuchi with the LST-1

Full LST-1 data reconstruction with the use of convolutional neural networks

LSTOSA: Onsite processing pipeline for the CTA Larged-Sized Telescope prototype

LST-1 observations of an enormous flare of BL Lacertae in 2021

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)

A novel image-correction method for cloud-affected observations with Imaging Atmospheric Cherenkov Telescopes


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

Triangulating Python Performance Issues with Scalene

OLLA: Optimizing the Lifetime and Location of Arrays to Reduce the Memory Usage of Neural Networks

Study of Energy-Efficient Optimization Techniques for High-Level Homogeneous Resource Management

Wireless Communications and Mobile Computing

Parallel Batched Interpolation Search Tree

GWP-ASan: Sampling-Based Detection of Memory-Safety Bugs in Production


An open source smart contract platform

When Services Computing Meets Blockchain: Challenges and Opportunities

Challenges and Common Solutions in Smart Contract Development

IEEE Transactions on Software Engineering

Characterizing and Detecting WebAssembly Runtime Bugs

A Survey on EOSIO Systems Security: Vulnerability, Attack, and Mitigation

Demystifying Software Release Note Issues on GitHub

Designing for Participation and Change in Digital Institutions

Technology Review of Blockchain Data Privacy Solutions

Understanding the Evolution of Blockchain Ecosystems: A Longitudinal Measurement Study of Bitcoin, Ethereum, and EOSIO


OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

PP-YOLOE: An evolved version of YOLO

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment

HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly Knowledge Understanding

Reviving Static Charts into Live Charts

Investigating YOLO Models Towards Outdoor Obstacle Detection For Visually Impaired People


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

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

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

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

GeoGalactica: A Scientific Large Language Model in Geoscience

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


The Python Differential Privacy Library. Built on top of: https://github.com/google/differential-privacy

Privacy and Trust Redefined in Federated Machine Learning

Machine Learning and Knowledge Extraction

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Navigating Heterogeneity and Privacy in One-Shot Federated Learning with Diffusion Models

DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning


Floodlight SDN OpenFlow Controller

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

QoS improvement with an optimum controller selection for software-defined networks

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

Bulletin of Electrical Engineering and Informatics

Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation

MonLink: Piggyback Status Monitoring over LLDP in Software-Defined Energy Internet

NetRep: Automatic Repair for Network Programs


Manipulate audio with a simple and easy high level interface

Half-Truth: A Partially Fake Audio Detection Dataset

Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders

Effects of Soundscape Complexity on Urban Noise Annoyance Ratings: A Large-Scale Online Listening Experiment

International journal of environmental research and public health

Performance Evaluation of RNN with Hyperbolic Secant in Gate Structure through Application of Parkinson’s Disease Detection

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

Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy

EURASIP journal on audio, speech, and music processing

Evaluating Web-Based Automatic Transcription for Alzheimer Speech Data: Transcript Comparison and Machine Learning Analysis

Attacker Attribution of Audio Deepfakes

Can we use Common Voice to train a Multi-Speaker TTS system?

Multichannel acoustic source and image dataset for the cocktail party effect in hearing aid and implant users


Six Degrees of Domain Admin

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

Automated Cyber Defence: A Review

Defending Active Directory by Combining Neural Network based Dynamic Program and Evolutionary Diversity Optimisation

The epidemiology of lateral movement: exposures and countermeasures with network contagion models

Optimizing Cyber Response Time on Temporal Active Directory Networks Using Decoys

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack Graphs

Limited Query Graph Connectivity Test

Investigating the Ecosystem of Offensive Information Security Tools

Increasing Windows security by hardening PC configurations


An automated insulin delivery app for iOS, built on LoopKit

In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

Full closed loop open‐source algorithm performance comparison in pigs with diabetes

Survey about do-it-yourself closed loop systems in the treatment of diabetes in Germany

A Wearable Closed-Loop Insulin Delivery System Based on Low-Power SoCs


Standard Energy Efficiency Data (SEED) Platform™ is a web-based application that helps organizations easily manage data on the energy performance of large groups of buildings.


WhisperX:  Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Robust Speech Recognition via Large-Scale Weak Supervision

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

VideoVista: A Versatile Benchmark for Video Understanding and Reasoning

Sensing of inspiration events from speech: comparison of deep learning and linguistic methods


Thai Natural Language Processing in Python.

Cross-lingual Language Model Pretraining

Beyond English-Centric Multilingual Machine Translation

PyThaiNLP: Thai Natural Language Processing in Python

82 Treebanks, 34 Models: Universal Dependency Parsing with Multi-Treebank Models

AttaCut: A Fast and Accurate Neural Thai Word Segmenter

Word Similarity Datasets for Thai: Construction and Evaluation

Influenza, dengue and common cold detection using LSTM with fully connected neural network and keywords selection

Combating the hate speech in Thai textual memes

Indonesian Journal of Electrical Engineering and Computer Science

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization

Improving the state-of-the-art in Thai semantic similarity using distributional semantics and ontological information


The iconic SVG, font, and CSS toolkit

Breaking the borders: an investigation of cross-ecosystem software packages

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

Intertwining Communities: Exploring Libraries that Cross Software Ecosystems


OpenStudio is a cross-platform collection of software tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance.


LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Masked Autoencoders Are Scalable Vision Learners

SimCSE: Simple Contrastive Learning of Sentence Embeddings

An Empirical Study of Training Self-Supervised Vision Transformers

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


The most comprehensive database of Chinese poetry 最全中华古诗词数据库,  唐宋两朝近一万四千古诗人,  接近5.5万首唐诗加26万宋诗.  两宋时期1564位词人，21050首词。

AnchiBERT: A Pre-Trained Model for Ancient Chinese Language Understanding and Generation

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System

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

Kanbun-LM: Reading and Translating Classical Chinese in Japanese Methods by Language Models


Mapnik is an open source toolkit for developing mapping applications

Map Generation from Large Scale Incomplete and Inaccurate Data Labels

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling

ISPRS International Journal of Geo-Information

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

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


Bitcoin CoinJoin implementation with incentive structure to convince people to take part

Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin

Context matters: Methods for Bitcoin tracking

Forensic Science International: Digital Investigation

Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain


Pretrained model hub for Keras 3

Vulnerability Mimicking Mutants


A transparent, highly scalable and cryptographically verifiable data store.

Paxos vs Raft: Have we reached consensus on distributed consensus?

Proceedings of the 7th Workshop on Principles and Practice of Consistency for Distributed Data

GlassDB: An Efficient Verifiable Ledger Database System Through Transparency

Think Global, Act Local: Gossip and Client Audits in Verifiable Data Structures

Automated Verification of Go Programs via Bounded Model Checking

International Conference on Automated Software Engineering

SafetyPin: Encrypted Backups with Human-Memorable Secrets

Key Event Receipt Infrastructure (KERI)

Verifiable Light-Weight Monitoring for Certificate Transparency Logs

Software Distribution Transparency and Auditability

A Blueprint for Interoperable Blockchains

F-PKI: Enabling Innovation and Trust Flexibility in the HTTPS Public-Key Infrastructure


Espressif IoT Development Framework. Official development framework for Espressif SoCs.

A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices

Leaky Noise: New Side-Channel Attack Vectors in Mixed-Signal IoT Devices

IACR Transactions on Cryptographic Hardware and Embedded Systems

Clock Frequency Impact on the Performance of High-Security Cryptographic Cipher Suites for Energy-Efficient Resource-Constrained IoT Devices

Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32

The International Conference on scientific innovations in Science, Technology, and Management

Adaptive antenna system by ESP32-PICO-D4 and its application to web radio system

Fast Deployment of a UWB-Based IPS for Emergency Response Operations

TLS Protocol Analysis Using IoTST—An IoT Benchmark Based on Scheduler Traces

Design and implementation of intelligent packet filtering in IoT microcontroller-based devices


Parsing ELF and DWARF in Python

XDA: Accurate, Robust Disassembly with Transfer Learning

Mitigating Data-only Attacks by Protecting Memory-resident Sensitive Data

Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language Models

Large-scale Debloating of Binary Shared Libraries

Reconciling optimization with secure compilation

Proceedings of the ACM on Programming Languages

Secure Optimization Through Opaque Observations

Black-box Attacks Against Neural Binary Function Detection

Characterization and Comparison of Application Resilience for Serial and Parallel Executions