Semiempirical Extended Tight-Binding Program Package

Equivariant message passing for the prediction of tensorial properties and molecular spectra

Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems

Angewandte Chemie (International ed. in English)

GoodVibes: automated thermochemistry for heterogeneous computational chemistry data

Best Practice DFT Protocols for Basic Molecular Computational Chemistry

OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Machine learning meets mechanistic modelling for accurate prediction of experimental activation energies

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

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

Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis

Hot Exciplexes in U-Shaped TADF Molecules with Emission from Locally Excited States


FCC software, common to FCC-hh, -ee, and -eh.

Calorimeters for the FCC-hh

Probing exotic charged Higgs decays in the Type-II 2HDM through top rich signal at a future 100 TeV pp collider

The Journal of high energy physics/The journal of high energy physics

Future Prospects for the Minimal Supersymmetric Standard Model

Higgs assisted razor search for Higgsinos at a 100 TeV pp collider

中国科学. 物理学 力学 天文学

Offline computing resources for FCC-ee and related challenges


Qkit framework

A quantum engineer's guide to superconducting qubits

Granular aluminium as a superconducting material for high-impedance quantum circuits

Control of the coupling strength and linewidth of a cavity magnon-polariton

Complex temperature dependence of coupling and dissipation of cavity magnon polaritons from millikelvin to room temperature

Local sensing with the multilevel ac Stark effect

Introducing coherent time control to cavity magnon-polariton modes

Magnons at low excitations: Observation of incoherent coupling to a bath of two-level systems

State preparation of a fluxonium qubit with feedback from a custom FPGA-based platform

Transmon qubit in a magnetic field: Evolution of coherence and transition frequency

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


A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

Deep Gaussian Processes for Multi-fidelity Modeling

Emulation of physical processes with Emukit

BOFFIN TTS: Few-Shot Speaker Adaptation by Bayesian Optimization

Meta-Surrogate Benchmarking for Hyperparameter Optimization

A Multi-Fidelity Emulator for the Matter Power Spectrum using Gaussian Processes

Preferential Batch Bayesian Optimization

Hyperparameter Transfer Learning with Adaptive Complexity

Residual Gaussian Process: A Tractable Nonparametric Bayesian Emulator for Multi-fidelity Simulations

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing


The Hector Simple Climate Model

A simple object-oriented and open-source model for scientific and policy analyses of the global climate system – Hector v1.0

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures

Ocean acidification over the next three centuries using a simple global climate carbon-cycle model: projections and sensitivities

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

A Simple Object-Oriented and Open Source Model for Scientific and Policy Analyses of the Global Carbon Cycle–Hector

HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

FCOS: Fully Convolutional One-Stage Object Detection

SOLO: Segmenting Objects by Locations

Conditional Convolutions for Instance Segmentation

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

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

BoxInst: High-Performance Instance Segmentation with Box Annotations

Mask Encoding for Single Shot Instance Segmentation

DirectPose: Direct End-to-End Multi-Person Pose Estimation


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

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

Teaching Arithmetic to Small Transformers

What Algorithms can Transformers Learn? A Study in Length Generalization

A Latent Space Theory for Emergent Abilities in Large Language Models

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

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked
  Prefills

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

Blockwise Parallel Transformer for Large Context Models

Masked Structural Growth for 2x Faster Language Model Pre-training

Baby Llama: knowledge distillation from an ensemble of teachers trained on a small dataset with no performance penalty


Stubby is the name given to a mode of using getdns which enables it to act as a local DNS Privacy stub resolver (using DNS-over-TLS).

Padding Ain't Enough: Assessing the Privacy Guarantees of Encrypted DNS

Comparing the Effects of DNS, DoT, and DoH on Web Performance

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Can Encrypted DNS Be Fast?

Passive and Active Network Measurement Conference


FFCV: Fast Forward Computer Vision (and other ML workloads!)

A Cookbook of Self-Supervised Learning

Datamodels: Predicting Predictions from Training Data

The Effects of Regularization and Data Augmentation are Class Dependent

Distilling Model Failures as Directions in Latent Space

FFCV: Accelerating Training by Removing Data Bottlenecks

A Data-Based Perspective on Transfer Learning

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities

On the Symmetries of Deep Learning Models and their Internal
  Representations

Guillotine Regularization: Why removing layers is needed to improve
  generalization in Self-Supervised Learning

Matryoshka Representation Learning


Interpretability and explainability of data and machine learning models

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

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

Benchmarking and survey of explanation methods for black box models

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Model Agnostic Multilevel Explanations

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Fast Sparse Decision Tree Optimization via Reference Ensembles

Ethically Responsible Machine Learning in Fintech

User Driven Model Adjustment via Boolean Rule Explanations


Tools and standards for conducting and evaluating research in software engineering

ACM SIGSOFT Empirical Standards.

Benchmarking as Empirical Standard in Software Engineering Research

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

Empirical Standards for Software Engineering Research

Code Red: The Business Impact of Code Quality -- A Quantitative Study of
  39 Proprietary Production Codebases

Understanding Peer Review of Software Engineering Papers

Which design decisions in AI-enabled mobile applications contribute to greener AI?

Static test flakiness prediction: How Far Can We Go?

Machine Learning-Based Test Smell Detection

U Owns the Code That Changes and How Marginal Owners Resolve Issues Slower in Low-Quality Source Code

On the adoption and effects of source code reuse on defect proneness and maintenance effort


NoSQL Redis and Memcache traffic generation and benchmarking tool.

Memory DoS Attacks in Multi-tenant Clouds: Severity and Mitigation

Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders

Kollaps: Decentralized and Dynamic Topology Emulation

TEEMon: A continuous performance monitoring framework for TEEs

Concerto: Dynamic Processor Scaling for Distributed Data Systems with Replication

Application-Oriented Data Migration to Accelerate In-Memory Database on Hybrid Memory

WELES: Policy-driven Runtime Integrity Enforcement of Virtual Machines.

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


An open-source post-exploitation framework for students, researchers and developers.

An Efficient Framework for Detection and Classification of IoT Botnet Traffic

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Trusted Multi-Domain DDoS Detection Based on Federated Learning


Rekall Memory Forensic Framework

A Forensic Audit of the Tor Browser Bundle

Edinburgh Napier Research Repository (Edinburgh Napier University)

Memory snapshot dataset of a compromised host with malware using obfuscation evasion techniques

The Evolution of Volatile Memory Forensics

Memory Layout Extraction and Verification Method for Reliable Physical Memory Acquisition


James Webb Space Telescope PSF simulation tool

The chemical enrichment in the early Universe as probed by JWST via
  direct metallicity measurements at z~8

JexoSim: a time-domain simulator of exoplanet transit spectroscopy with JWST

Monthly notices of the Royal Astronomical Society

The Near Infrared Imager and Slitless Spectrograph for JWST. V. Kernel Phase Imaging and Data Analysis

Constrained Reference Star Differential Imaging: Enabling High-Fidelity
  Imagery of Highly Structured Circumstellar Disks

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in astronomy and space sciences

Transiting Exoplanet Yields for the Roman Galactic Bulge Time Domain Survey Predicted from Pixel-level Simulations

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


Emulator for Software-Defined Wireless Networks

Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation

Minicursos do XIV Encontro Unificado de Computação do Piauí (ENUCOMPI) e XI Simpósio de Sistemas de Informação (SINFO)


A massively spiffy yet delicately unobtrusive compression library.

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Moving analytical ultracentrifugation software to a good manufacturing practices (GMP) environment

FastRemap: A Tool for Quickly Remapping Reads between Genome Assemblies

Binary Diffing as a Network Alignment Problem via Belief Propagation

International Conference on Automated Software Engineering

EFloat: Entropy-coded Floating Point Format for Deep Learning.

EFloat: Entropy-coded Floating Point Format for Compressing Vector Embedding Models

Compression and information entropy of binary strings from the collision history of three hard balls

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


Decentralized Privacy-Preserving Proximity Tracing -- Documents

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing

COVID-19 contact-tracing apps: a survey on the global deployment and challenges

Epione: Lightweight Contact Tracing with Strong Privacy

COVID-19 contact tracing apps: a stress test for privacy, the GDPR, and data protection regimes

Demystifying COVID-19 digital contact tracing: A survey on frameworks
  and mobile apps

Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a commuter bus

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study

Privacy-Preserving Contact Tracing: current solutions and open questions


Galactic Dynamics in python

galpy: A python LIBRARY FOR GALACTIC DYNAMICS

Vertical waves in the solar neighbourhood in Gaia DR2

Chemodynamics of the Milky Way. I. The first year of APOGEE data

Confirming chemical clocks: asteroseismic age dissection of the Milky Way disc(s)

Monthly Notices of the Royal Astronomical Society

Universality of free fall from the orbital motion of a pulsar in a stellar triple system

Apocenter Pile-up: Origin of the Stellar Halo Density Break

Linear perturbation theory for tidal streams and the small-scale CDM power spectrum

Evidence from APOGEE for the presence of a major building block of the halo buried in the inner Galaxy

DYNAMICAL MODELING OF TIDAL STREAMS

Young Pulsars and the Galactic Center GeV Gamma-ray Excess


Netflow processing tools

A Survey of Network-based Intrusion Detection Data Sets

Flow length and size distributions in campus Internet traffic

Cyber Attack Detection thanks to Machine Learning Algorithms

Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets

Modeling and Prediction of Daily Traffic Patterns—WASK and SIX Case Study

Malicious Overtones: Hunting Data Theft in the Frequency Domain with One-class Learning


Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

MusicLM: Generating Music From Text

AudioGen: Textually Guided Audio Generation

Simple and Controllable Music Generation

AudioLDM 2: Learning Holistic Audio Generation with Self-supervised
  Pretraining

CodePlan: Repository-level Coding using LLMs and Planning

Masked Audio Generation using a Single Non-Autoregressive Transformer

Stack-and-Delay: a new codebook pattern for music generation

A Survey of AI Music Generation Tools and Models

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Natural language guidance of high-fidelity text-to-speech with synthetic
  annotations


FinGPT: Open-Source Financial Large Language Models!  Revolutionize     We release the trained model on HuggingFace.

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

FinGPT: Democratizing Internet-scale Data for Financial Large Language
  Models

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models

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

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language
  Models in Financial Datasets

AviationGPT: A Large Language Model for the Aviation Domain

A Survey of Large Language Models in Finance (FinLLMs)


The app that powers api.safecast.org


WRF-Hydro model code


An open and flexible framework for developing enclave applications

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX.

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

Accelerating 2PC-based ML with Limited Trusted Hardware


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

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

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


Automated feature extraction in Python

Movie-watching outperforms rest for functional connectivity-based prediction of behavior

A naturalistic neuroimaging database for understanding the brain using ecological stimuli

Developing a comprehensive framework for multimodal feature extraction

Effective connectivity of the anterior hippocampus predicts recollection confidence during natural memory retrieval

Dynamic interactions between anterior insula and anterior cingulate cortex link perceptual features and heart rate variability during movie viewing


High-Performance NoSQL database and RESTful web services to access to most relevant biological data

Babelomics 5.0: functional interpretation for new generations of genomic data

Assessing the impact of mutations found in next generation sequencing data over human signaling pathways

Real-world clinical and molecular management of 50 prospective patients with microphthalmia, anophthalmia and/or ocular coloboma

HGVA: the Human Genome Variation Archive

PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions


SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.

Applying Argumentation Schemes for Essay Scoring

Meeting of the Association for Computational Linguistics

Lexical Chaining for Measuring Discourse Coherence Quality in Test-taker Essays

International Conference on Computational Linguistics

Semantic classifications for detection of verb metaphors

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

Different Texts, Same Metaphors: Unigrams and Beyond

Proceedings of the Second Workshop on Metaphor in NLP

Supervised Word-Level Metaphor Detection: Experiments with Concreteness and Reweighting of Examples

Proceedings of the Third Workshop on Metaphor in NLP

Scoring Interactional Aspects of Human-Machine Dialog for Language Learning and Assessment using Text Features

Enhancing STEM Motivation through Personal and Communal Values: NLP for Assessment of Utility Value in Student Writing

Workshop on Innovative Use of NLP for Building Educational Applications

Do face masks introduce bias in speech technologies? The case of automated scoring of speaking proficiency


OpenEmbedded/Yocto layer for RISC-V Architecture


The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

Multiomics study of nonalcoholic fatty liver disease

Increased burden of ultra-rare structural variants localizing to boundaries of topologically associated domains in schizophrenia

StrVCTVRE: A supervised learning method to predict the pathogenicity of human genome structural variants

Analysis pipelines for cancer genome sequencing in mice

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Whole genome sequencing delineates regulatory, copy number, and cryptic splice variants in early onset cardiomyopathy

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer

Genetic variants associated with platelet count are predictive of human disease and physiological markers


Scriptable database and system performance benchmark

TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone

MOBISYS'17: PROCEEDINGS OF THE 15TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS, APPLICATIONS, AND SERVICES

Power Consumption of Virtualization Technologies: An Empirical Investigation

International Conference on Utility and Cloud Computing

DeFog: Fog Computing Benchmarks

A Survey on Edge Performance Benchmarking

Mining Sandboxes for Linux Containers

Computing Server Power Modeling in a Data Center: Survey, Taxonomy, and Performance Evaluation

From Zero to Fog: Efficient Engineering of Fog-Based IoT Applications.

Automated Reasoning and Detection of Specious Configuration in Large Systems with Symbolic Execution

Performance Evaluation of Different Raspberry Pi Models for a Broad Spectrum of Interests

International journal of advanced computer science and applications/International journal of advanced computer science & applications

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters

International Conference on Statistical and Scientific Database Management


Training neural models with structured signals.

Explaining and Harnessing Adversarial Examples

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Graph Agreement Models for Semi-Supervised Learning

Graph-RISE: Graph-Regularized Image Semantic Embedding

Neural Clustering Processes


Open source framework for ocean trajectory modelling

OpenDrift v1.0: a generic framework for trajectory modelling

The effect of vertical mixing on the horizontal drift of oil spills

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

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

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

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


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

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

Diverse Community Data for Benchmarking Data Privacy Algorithms


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

A method for multiple-sequence-alignment-free protein structure prediction using a protein language model

HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle

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

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

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

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

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


Asynchronous Distributed Hyperparameter Optimization.

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

HyperNOMAD: Hyperparameter optimization of deep neural networks using mesh adaptive direct search

Emergent Communication under Competition

Limitations of weak labels for embedding and tagging

Use of static surrogates in hyperparameter optimization


VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

VIP: Vortex Image Processing package for high-contrast direct imaging

Near-infrared scattered light properties of the HR 4796 A dust ring. A measured scattering phase function from 13.6° to 166.6°

Discovery of a low-mass companion inside the debris ring surrounding the F5V star HD 206893

VLT/SPHERE robust astrometry of the HR8799 planets at milliarcsecond-level accuracy - Orbital architecture analysis with PyAstrOFit

Low-rank plus sparse decomposition for exoplanet detection in direct imaging ADI sequences

Deep exploration of Epsilon Eridani with Keck Ms-band vortex coronagraphy and radial velocities: mass and orbital parameters of the giant exoplanet

Precise radial velocities of giant stars IX. HD 59686 Ab: a massive circumstellar planet orbiting a giant star in a ~13.6 au eccentric binary system

Are the spiral arms in the MWC 758 protoplanetary disc driven by a companion inside the cavity?

Characterization of low-mass companion HD 142527 B

The Effect of Binarity on Circumstellar Disk Evolution


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


Umbrella repository for projects related to the MWT Decision Service

On Fairness and Calibration

Introduction to Multi-Armed Bandits

Combinatorial Semi-Bandits with Knapsacks

Competing Bandits: Learning under Competition

Competing Bandits: The Perils of Exploration Under Competition

Reinforcement Learning in Practice: Opportunities and Challenges


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

A Call for Clarity in Reporting BLEU Scores

Multilingual Denoising Pre-training for Neural Machine Translation

Marian: Fast Neural Machine Translation in C++

Unifying Vision-and-Language Tasks via Text Generation

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

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

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

Incorporating BERT into Neural Machine Translation

R-Drop: Regularized Dropout for Neural Networks

Random Feature Attention


A framework for large scale recommendation algorithms.

Wide & Deep Learning for Recommender Systems

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Learning deep structured semantic models for web search using clickthrough data

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

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

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Deep Learning Recommendation Model for Personalization and Recommendation Systems

MIND: A Large-scale Dataset for News Recommendation

Behavior Sequence Transformer for E-commerce Recommendation in Alibaba

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate


CNCF Serverless WG

Status of Serverless Computing and Function-as-a-Service(FaaS) in
  Industry and Research

AI-based Resource Allocation: Reinforcement Learning for Adaptive Auto-scaling in Serverless Environments

Understanding Open Source Serverless Platforms: Design Considerations and Performance

FedLess: Secure and Scalable Federated Learning Using Serverless Computing

Characterizing commodity serverless computing platforms

Kotless: a Serverless Framework for Kotlin

The server is dead, long live the server: Rise of Serverless Computing,
  Overview of Current State and Future Trends in Research and Industry

Hybrid Computing for Interactive Datacenter Applications

FedLesScan: Mitigating Stragglers in Serverless Federated Learning

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration


An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

A Survey of Large Language Models

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

PanGu-Coder2: Boosting Large Language Models for Code with Ranking
  Feedback

LLMCad: Fast and Scalable On-device Large Language Model Inference

QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large
  Language Models

How Does Calibration Data Affect the Post-training Pruning and
  Quantization of Large Language Models?

FwdLLM: Efficient FedLLM using Forward Gradient

PrivateLoRA For Efficient Privacy Preserving LLM


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

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

Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach

A generic framework for privacy preserving deep learning

Secure and Robust Machine Learning for Healthcare: A Survey

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

Oort: Efficient Federated Learning via Guided Participant Selection

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

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

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

From distributed machine learning to federated learning: a survey


Fast CLI DNS Lookup Tool

The CNAME of the Game: Large-scale Analysis of DNS-based Tracking Evasion

Study on Domain Name System (DNS) Abuse: Technical Report

Addressing the challenges of modern DNS a comprehensive tutorial


ARX is a comprehensive open source data anonymization tool aiming to provide scalability and usability. It supports various anonymization techniques, methods for analyzing data quality and re-identification risks and it supports well-known privacy models, such as k-anonymity, l-diversity, t-closeness and differential privacy.

A scalable software solution for anonymizing high-dimensional biomedical data

Report of the Medical Image De-Identification (MIDI) Task Group - Best Practices and Recommendations.

Comparison of machine learning models applied on anonymized data with different techniques


STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.

What shall we do with an hour of data? Speech recognition for the un-
  and under-served languages of Common Voice

The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition


Transformer related optimization, including BERT, GPT

Prefix-Tuning: Optimizing Continuous Prompts for Generation

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

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large
  Language Models

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

Challenges and Applications of Large Language Models

Factuality Enhanced Language Models for Open-Ended Text Generation

Learned Token Pruning for Transformers

LUT-GEMM: Quantized Matrix Multiplication based on LUTs for Efficient
  Inference in Large-Scale Generative Language Models

Outlier Suppression: Pushing the Limit of Low-bit Transformer Language
  Models

Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time


A Python toolkit for pathology image analysis algorithms.

Predicting cancer outcomes from histology and genomics using convolutional networks

Interactive phenotyping of large-scale histology imaging data with HistomicsML

DynaMorph: self-supervised learning of morphodynamic states of live cells

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics

Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Towards More Reliable Unsupervised Tissue Segmentation Via Integrating Mass Spectrometry Imaging and Hematoxylin-Erosin Stained Histopathological Image

Classifying subtypes and predicting survival of renal cell carcinoma using histopathology image-based deep learning

A population-level computational histologic signature for invasive breast cancer prognosis


Python client API for OpenEO

Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure


Open Source Web Crawler for Java

Temporal and Location Variations, and Link Categories for the Dissemination of COVID-19–Related Information on Twitter During the SARS-CoV-2 Outbreak in Europe: Infoveillance Study (Preprint)

Focused Crawl of Web Archives to Build Event Collections

bias goggles: Graph-Based Computation of the Bias of Web Domains Through the Eyes of Users

Performance analysis of CRF-based learning for processing WoT application requests expressed in natural language

Comparison of Visual and Logical Character Segmentation in Tesseract OCR Language Data for Indic Writing Scripts

Australasian Language Technology Association Workshop

Image-Image Search for Comparable Corpora Construction

Workshop on Hybrid Approaches to Translation

bias goggles: Exploring the Bias of Web Domains Through the Eyes of Users

International Workshop on Algorithmic Bias in Search and Recommendation

Realization of Ontology Web Search Engine


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

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

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

A Catalog of 59 Thousand δ Scuti Stars and Dozen Discoveries of
  New Variables with TESS Data

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


Advanced Terrestrial Simulator (ATS) development

Microtopographic control on the ground thermal regime in ice wedge polygons

Permafrost thermal conditions are sensitive to shifts in snow timing

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

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

The thermal response of permafrost to coastal floodplain flooding

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


SQuARE: Software for question answering research.

UKP-SQUARE: An Online Platform for Question Answering Research

UKP-SQuARE v2: Explainability and Adversarial Attacks for Trustworthy QA

UKP-SQuARE v3: A Platform for Multi-Agent QA Research


Parsing Expression Grammar Template Library

Syntax Error Recovery in Parsing Expression Grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars


Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization

IEEE transactions on circuits and systems for video technology

Playing Atari with Hybrid Quantum-Classical Reinforcement Learning

Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook

Reinforcement Learning for Generating Secure Configurations


Official repository of the AWS EC2 FPGA Hardware and Software Development Kit

StealthDB: a Scalable Encrypted Database with Full SQL Query Support

Security of Cloud FPGAs: A Survey

ShEF: shielded enclaves for cloud FPGAs

Denial-of-Service on FPGA-based Cloud Infrastructures — Attack and Defense

IACR transactions on cryptographic hardware and embedded systems

MeetGo: A Trusted Execution Environment for Remote Applications on FPGA

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

Secret Sharing MPC on FPGAs in the Datacenter

VITI: A Tiny Self-Calibrating Sensor for Power-Variation Measurement in FPGAs

SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud.

Making Search Engines Faster by Lowering the Cost of Querying Business Rules Through FPGAs

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


Drivers and libraries for the Xbox Kinect device on Windows, Linux, and OS X

RGB-D datasets using microsoft kinect or similar sensors: a survey

Improved point clouds from a heritage artifact depth low-cost acquisition

Revista Brasileira de Computação Aplicada


Compressed numerical arrays that support high-speed random access

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

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

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

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

IEEE International Symposium on High-Performance Parallel Distributed Computing

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

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

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

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


MMseqs2: ultra fast and sensitive search and clustering suite

Highly accurate protein structure prediction with AlphaFold

Clustering huge protein sequence sets in linear time

Uniclust databases of clustered and deeply annotated protein sequences and alignments

Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites

A simple guide to de novo transcriptome assembly and annotation

xTrimoPGLM: Unified 100B-Scale Pre-trained Transformer for Deciphering the Language of Protein

Unraveling the functional dark matter through global metagenomics

ADOPT: intrinsic protein disorder prediction through deep bidirectional transformers

Metagenomic Analysis Revealed Differences in Composition and Function Between Liquid-Associated and Solid-Associated Microorganisms of Sheep Rumen

Deciphering Rhizosphere Microbiome Assembly of Castanea henryi in Plantation and Natural Forest


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

SoK: Transparent Dishonesty: Front-Running Attacks on Blockchain

Analysis of Cryptocurrency Transactions from a Network Perspective: An Overview

ICO investors

Quantitative analysis of cryptocurrencies transaction graph

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

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

Disentangling Decentralized Finance (DeFi) Compositions

Temporal network embedding framework with causal anonymous walks representations

Behavioral structure of users in cryptocurrency market

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


SHiP experiment framework based on FairRoot

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

Sensitivity of the SHiP experiment to light dark matter

The Journal of high energy physics/The journal of high energy physics

Production of GeV-scale heavy neutral leptons in three-body decays. Comparison with the PYTHIA approach

Journal of physics. G, Nuclear and particle physics

Segmentation of EM showers for neutrino experiments with deep graph neural networks

Electromagnetic shower generation with Graph Neural Networks


Climate Watch: Data for Climate Action


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

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

Scalable Neural Video Representations with Learnable Positional Features

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

Hardware Acceleration of Neural Graphics

A Comparative Neural Radiance Field (NeRF) 3D Analysis of Camera Poses
  from HoloLens Trajectories and Structure from Motion


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

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Sequential Models in the Synthetic Data Vault

CTTGAN: Traffic Data Synthesizing Scheme Based on Conditional GAN

Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs

Generative Modeling of Complex Data

TRIAGE: Characterizing and auditing training data for improved
  regression


The mqtt.org website

A Performance Analysis of Internet of Things Networking Protocols: Evaluating MQTT, CoAP, OPC UA

Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things

IoT System for the Continuous Electrical and Environmental Monitoring into Mexican Social Housing Evaluated under Tropical Climate Conditions

IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing

An Elasticity Framework for Distributed Message Queuing Telemetry Transport Brokers

VNU Journal of Science: Computer Science and Communication Engineering


Motion Planning Environment

Canonical Subproblems for Robot Inverse Kinematics


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

PettingZoo: Gym for Multi-Agent Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Robust Reinforcement Learning using Offline Data

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

Robust Imitation Learning from Corrupted Demonstrations

Rastermap: a discovery method for neural population recordings

Direct Advantage Estimation

Real-Time Adversarial Perturbations Against Deep Reinforcement Learning Policies: Attacks and Defenses

Defending Observation Attacks in Deep Reinforcement Learning via Detection and Denoising


Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines

MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

ConvLab: Multi-Domain End-to-End Dialog System Platform

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

Description-Driven Task-Oriented Dialog Modeling

Transferable Dialogue Systems and User Simulators


A fast compressor/decompressor

FIRE6: Feynman Integral REduction with modular arithmetic

Starling: A Scalable Query Engine on Cloud Functions

3LC: Lightweight and Effective Traffic Compression for Distributed Machine Learning

Massively-Parallel Lossless Data Decompression

The Workflow Trace Archive: Open-Access Data From Public and Private Computing Infrastructures

A practical approach to storage and retrieval of high-frequency physiological signals

Data lake concept and systems: a survey.

Liquid Cloud Storage

Lossless Compression of Data From Static and Mobile Dynamic Vision Sensors-Performance and Trade-Offs

International Conference on Acoustics, Speech, and Signal Processing

A data reduction and compression description for high throughput time-resolved electron microscopy


Free Weather Forecast API for non-commercial use


A blocking, shuffling and loss-less compression library that can be faster than `memcpy()`.

Test Set Diameter: Quantifying the Diversity of Sets of Test Cases

A Low-Cost, Flexible and Portable Volumetric Capturing System

Signal-Image Technology and Internet-Based Systems

Interpretation-enabled Software Reuse Detection Based on a Multi-Level
  Birthmark Model

Stability Analysis of Inline ZFP Compression for Floating-Point Data in Iterative Methods

LiDetector: License Incompatibility Detection for Open Source Software

ROOT I/O compression algorithms and their performance impact within Run 3


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.


open Multi-View Stereo reconstruction library

Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

Dense Hybrid Recurrent Multi-view Stereo Net with Dynamic Consistency Checking

Semantically Derived Geometric Constraints for MVS Reconstruction of Textureless Areas

Polarimetric Multi-View Inverse Rendering

Multi view stereo with semantic priors

Moving Car Recognition and Removal for 3D Urban Modelling Using Oblique Images

A Graph-Matching Approach for Cross-view Registration of Over-view 2 and
  Street-view based Point Clouds

Dense Semantic 3D Map Based Long-Term Visual Localization with Hybrid Features

Hyperspectral 3D Mapping of Underwater Environments

Event-Based Dense Reconstruction Pipeline


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

Inclusive jet and hadron suppression in a multistage approach

JETSCAPE v1.0 Quickstart Guide

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

Dynamics of Hot QCD Matter -- Current Status and Developments

Multiscale evolution of charmed particles in a nuclear medium

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


Core tools required for running Canlab Matlab toolboxes. The heart of this toolbox is object-oriented tools that enable interactive analysis of neuroimaging data and simple scripts using high-level commands tailored to neuroimaging analysis.

Human Extinction Learning Is Accelerated by an Angiotensin Antagonist via Ventromedial Prefrontal Cortex and Its Connections With Basolateral Amygdala

A neuromarker for drug and food craving distinguishes drug users from non-users

An fMRI-Based Brain Marker of Individual Differences in Delay Discounting

The journal of neuroscience/The Journal of neuroscience

Brain markers predicting response to cognitive‐behavioral therapy for social anxiety disorder: an independent replication of Whitfield-Gabrieli et al. 2015

Functional brain reconfiguration during sustained pain

Neural and computational underpinnings of biased confidence in human reinforcement learning

Reward modality modulates striatal responses to reward anticipation in ADHD: Effects of affiliative and food stimuli


A combinatorics library for Julia

QuantumCumulants.jl: A Julia framework for generalized mean-field equations in open quantum systems

On an approximation of a J-Bessel integral and its applications (with an appendix by J.S. Friedman*).


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

A Survey on Cross-Architectural IoT Malware Threat Hunting

Malware triage for early identification of Advanced Persistent Threat
  activities

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


Inference code for Llama models

LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

L-Eval: Instituting Standardized Evaluation for Long Context Language
  Models

On the Exploitability of Instruction Tuning

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A
  Preliminary Study on Writing Assistance

AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large
  Language Models

Right to be Forgotten in the Era of Large Language Models: Implications,
  Challenges, and Solutions

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark


Tensors and neural networks in Haskell

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

Tensors Fitting Perfectly

Type-driven Neural Programming by Example


An open platform for science on Amazon Mechanical Turk.

Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research

Controversial stimuli: Pitting neural networks against each other as models of human cognition

Interestingness Elements for Explainable Reinforcement Learning: Understanding Agents' Capabilities and Limitations

How Deep is the Feature Analysis underlying Rapid Visual Categorization?

Use or Consequences: Probing the Cognitive Difference Between Two Measures of Divergent Thinking

Value generalization in human avoidance learning

Can Deep Learning Recognize Subtle Human Activities?

WebQAmGaze: A Multilingual Webcam Eye-Tracking-While-Reading Dataset


The Multi-Mission Maximum Likelihood framework (3ML)

Extended gamma-ray sources around pulsars constrain the origin of the positron flux at Earth

Very-high-energy particle acceleration powered by the jets of the microquasar SS 433

Daily Monitoring of TeV Gamma-Ray Emission from Mrk 421, Mrk 501, and the Crab Nebula with HAWC

Time-resolved GRB polarization with POLAR and GBM - Simultaneous spectral and polarization analysis with synchrotron emission

10.4 m GTC observations of the nearby VHE-detected GRB 190829A/SN 2019oyw

Two Predictions of Supernova: GRB 130427A/SN 2013cq and GRB 180728A/SN 2018fip

Emission from accelerating jets in gamma-ray bursts : radiation-dominated flows with increasing mass outflow rates

Monthly Notices of the Royal Astronomical Society

Is spectral width a reliable measure of GRB emission physics?

Proceedings of 7th International Fermi Symposium — PoS(IFS2017)

Search for dark matter gamma-ray emission from the Andromeda Galaxy with the High-Altitude Water Cherenkov Observatory

Journal of Cosmology and Astroparticle Physics

GeV-TeV Counterparts of SS 433/W50 from Fermi-LAT and HAWC Observations


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

Deep Reinforcement Learning

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


FSA/FST algorithms, differentiable, with PyTorch compatibility.

SpeechBrain: A General-Purpose Speech Toolkit

Pruned RNN-T for fast, memory-efficient ASR training

CTC Variations Through New WFST Topologies

The History of Speech Recognition to the Year 2030

Lhotse: a speech data representation library for the modern deep learning ecosystem

Consistent Training and Decoding For End-to-end Speech Recognition Using
  Lattice-free MMI

Differentiable Allophone Graphs for Language-Universal Speech Recognition

Improving Mandarin End-to-End Speech Recognition With Word N-Gram Language Model

Improving Mandarin Speech Recogntion with Block-augmented Transformer

Fast and parallel decoding for transducer


NGBoost: Natural Gradient Boosting for Probabilistic Prediction

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

The impact of imputation quality on machine learning classifiers for datasets with missing values

Multivariate Probabilistic Regression with Natural Gradient Boosting

On Uncertainty Estimation by Tree-based Surrogate Models in Sequential
  Model-based Optimization

TRIAGE: Characterizing and auditing training data for improved
  regression

Relationship between Successive Flares in the Same Active Region and SHARP Parameters


Noah Research

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

Generate & Rank: A Multi-task Framework for Math Word Problems

Multimodal Token Fusion for Vision Transformers

Revisiting Mahalanobis Distance for Transformer-Based Out-of-Domain Detection

High-Dimensional Bayesian Optimisation with Variational Autoencoders and Deep Metric Learning.

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Conversation Graph: Data Augmentation, Training, and Evaluation for Non-Deterministic Dialogue Management

XeroAlign: Zero-Shot Cross-lingual Transformer Alignment

CrossAligner & Co: Zero-Shot Transfer Methods for Task-Oriented Cross-lingual Natural Language Understanding

Less is More: Focus Attention for Efficient DETR


RO is an ontology of relations for use with biological ontologies

The Gene Ontology resource: enriching a GOld mine

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

Automated generation of gene summaries at the Alliance of Genome Resources

Database : the journal of biological databases and curation

The Orthology Ontology: development and applications

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

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

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

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


Dissecting Tendermint

Correctness and Fairness of Tendermint-core Blockchains

A Tendermint Light Client.

A Domain Specific Language for Testing Consensus Implementations

A case study on parametric verification of failure detectors


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

Automatic Sleep Staging: Recent Development, Challenges, and Future Directions

FedLab: A Flexible Federated Learning Framework

Federated Learning for Healthcare Domain - Pipeline, Applications and Challenges

ACM transactions on computing for healthcare


A suite of tools for managing crowdsourcing tasks from the inception through to data packaging for research use.

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation

Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants

Analyzing Dynamic Adversarial Training Data in the Limit

LEGOEval: An Open-Source Toolkit for Dialogue System Evaluation via Crowdsourcing

Reasoning over Public and Private Data in Retrieval-Based Systems

Training Models to Generate, Recognize, and Reframe Unhelpful Thoughts

Mephisto: A Framework for Portable, Reproducible, and Iterative
  Crowdsourcing


Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2

Self-attention Does Not Need O(n^2) Memory

Towards rational computational peptide design

CBP60-DB: An AlphaFold-predicted plant kingdom-wide database of the CALMODULIN-BINDING PROTEIN 60 (CBP60) protein family with a novel structural clustering algorithm

OpenProteinSet: Training data for structural biology at scale


OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

Learning Dense UV Completion for Human Mesh Recovery

Towards Robust and Expressive Whole-body Human Pose and Shape Estimation

PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

FreeMan: Towards Benchmarking 3D Human Pose Estimation under Real-World
  Conditions


VCF visualization interface

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

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

PatientMatcher: A customizable Python‐based open‐source tool for matching undiagnosed rare disease patients via the Matchmaker Exchange network

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

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

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


A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

PyOD: A Python Toolbox for Scalable Outlier Detection

ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions

ADBench: Anomaly Detection Benchmark

XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning

International Joint Conference on Neural Network

SUOD: Accelerating Large-Scale Unsupervised Heterogeneous Outlier Detection

Do deep neural networks contribute to multivariate time series anomaly detection?

Automating Outlier Detection via Meta-Learning

A Large-scale Study on Unsupervised Outlier Model Selection: Do Internal Strategies Suffice?

SUOD: Toward Scalable Unsupervised Outlier Detection

LEAD1.0: A Large-scale Annotated Dataset for Energy Anomaly Detection in
  Commercial Buildings


The curation repository for the data behind Concepticon.

Concepticon: A Resource for the Linking of Concept Lists

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

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

Workshop on Cognitive Aspects of the Lexicon

Curating and extending data for language comparison in Concepticon and NoRaRe


a gaggle of deep neural architectures for text ranking and question answering, designed for Pyserini

Passage Re-ranking with BERT

Document Ranking with a Pretrained Sequence-to-Sequence Model

Two Contrasting Data Annotation Paradigms for Subjective NLP Tasks

Rapidly Bootstrapping a Question Answering Dataset for COVID-19

Improving Passage Retrieval with Zero-Shot Question Generation

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Fact-Checking Complex Claims with Program-Guided Reasoning

Clickbait Spoiling via Question Answering and Passage Retrieval

Evaluating the generalisability of neural rumour verification models

Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking

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


A Julia package for data clustering

Tester interactivity makes a difference in search-based software testing: A controlled experiment

Membrane potential drives the exit from pluripotency and cell fate commitment via calcium and mTOR

Combining Pseudo-Point and State Space Approximations for Sum-Separable Gaussian Processes

RealNeuralNetworks.jl: An Integrated Julia Package for Skeletonization, Morphological Analysis, and Synaptic Connectivity Analysis of Terabyte-Scale 3D Neural Segmentations

Dynamic cut aggregation in L-shaped algorithms

Generating Multidimensional Clusters With Support Lines


Gaussian Process Optimization using GPy

A Tutorial on Bayesian Optimization

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

Batch Bayesian Optimization via Local Penalization

SMILES Enumeration as Data Augmentation for Neural Network Modeling of Molecules

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

JEDI-net: a jet identification algorithm based on interaction networks

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Kafnets: kernel-based non-parametric activation functions for neural networks

Learning search spaces for Bayesian optimization: Another view of hyperparameter transfer learning

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Machine learning: science and technology


cuDF - GPU DataFrame Library

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

WarpCore: A Library for fast Hash Tables on GPUs

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

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

In-depth analysis on parallel processing patterns for high-performance Dataframes


Library for validated numerics using interval arithmetic

Reachability of weakly nonlinear systems using Carleman linearization

Minimum stationary values of sparse random directed graphs.

A Cross-Platform Benchmark for Interval Computation Libraries

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

Periodic orbits in Hořava-Lifshitz cosmologies

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


files for r4ss package


GBIF Integrated Publishing Toolkit (IPT)

MIReAD, a minimum information standard for reporting arthropod abundance data

A checklist recipe: making species data open and FAIR

An updated checklist of the Tenebrionidae sec. Bousquet et al. 2018 of the Algodones Dunes of California, with comments on checklist data practices

Occurrences of Threatened Species included in the Third Edition of the Red Data Book of the Komi Republic (Russia)

Underwater video and still‐image dataset of fishes and other aquatic animals in Lake Biwa, Japan, observed via carp‐mounted video loggers


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


PyWavelets - Wavelet Transforms in Python

Machine-learning-based diagnostics of EEG pathology

Frequency-dependent Template Profiles for High-precision Pulsar Timing

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

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 Novel Framework for Synchrophasor Based Online Recognition and Efficient Post-Mortem Analysis of Disturbances in Power Systems

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

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

A systematic review of Python packages for time series analysis


Transportation planning and traffic simulation software for creating cities friendlier to walking, biking, and public transit

Open source tools for geographic analysis in transport planning


Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics


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

Semantically Enriched Data Access Policies in eHealth

An automated model-based test oracle for access control systems

International Conference/Workshop on Automation of Software Test

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

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

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


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

Escaping Atom Types in Force Fields Using Direct Chemical Perception

Journal of chemical theory and computation

Development and Benchmarking of Open Force Field v1.0.0, the Parsley Small Molecule Force Field

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

Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale

Journal of chemical information and modeling


The JTS Topology Suite is a Java library for creating and manipulating vector geometry.

Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation

A Survey on Spatio-temporal Data Analytics Systems

A large-scale solar dynamics observatory image dataset for computer vision applications

Assessment and Benchmarking of Spatially Enabled RDF Stores for the Next Generation of Spatial Data Infrastructure

ISPRS international journal of geo-information

J-CO: A Platform-Independent Framework for Managing Geo-Referenced JSON Data Sets

CartAGen: an Open Source Research Platform for Map Generalization

A Semantic Approach for Building System Operations: Knowledge Representation and Reasoning

Client-side versus server-side geographic data processing performance comparison: Data and code

Automatic Diversity in the Software Supply Chain


Model of Agricultural Production and its Impact on the Environment (MAgPIE) - model code

Combining ambitious climate policies with efforts to eradicate poverty

Carbon dioxide removal technologies are not born equal

Zenodo (CERN European Organization for Nuclear Research)

Quantifying synergies and trade-offs in the global water-land-food-climate nexus using a multi-model scenario approach

Projected landscape-scale repercussions of global action for climate and biodiversity protection

Estimating global land system impacts of timber plantations using MAgPIE 4.3.5

Assessing policy options for sustainable water use in India's cereal production system

Uncertainty in land-use adaptation persists despite crop model projections showing lower impacts under high warming


Repository for the Open Energy Ontology (OEO)

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


Automated testing to find logic and performance bugs in database systems

Finding bugs in database systems via query partitioning

Proceedings of the ACM on programming languages

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

Testing Database Engines via Query Plan Guidance


WebGL point cloud viewer for large datasets

Melite Civitas Romana in 3D: Virtualization Project of the Archaeological Park and Museum of the Domus Romana of Rabat, Malta

THE CASE FOR LOW-COST, PERSONALIZED VISUALIZATION FOR ENHANCING NATURAL HAZARD PREPAREDNESS

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

A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

Ontological Entities for Planning and Describing Cultural Heritage 3D Models Creation.


:seedling: Blockchain for planetary regeneration


Speech Recognition using DeepSpeech2.

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

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

SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems

Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems

MASR: A Modular Accelerator for Sparse RNNs

Recent Advances in End-to-End Spoken Language Understanding

Statistical Language and Speech Processing

FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply

Untangling in Invariant Speech Recognition

Adversarial Auto-Encoding for Packet Loss Concealment

Revisiting BFloat16 Training


Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

Background-foreground segmentation for interior sensing in automotive industry

Person-in-WiFi: Fine-grained Person Perception using WiFi

Tomato Fruit Detection and Counting in Greenhouses Using Deep Learning

AlphaPilot: autonomous drone racing

Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue

Towards Large-Scale Small Object Detection: Survey and Benchmarks

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

Automatic Evaluation of Wheat Resistance to Fusarium Head Blight Using Dual Mask-RCNN Deep Learning Frameworks in Computer Vision

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery


PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.

Software-hardware co-design for fast and scalable training of deep learning recommendation models

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

AutoShard: Automated Embedding Table Sharding for Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender
  Systems

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks


JavaSMT - Unified Java API for SMT solvers.

A Survey of Satisfiability Modulo Theory

JavaSMT 3: Interacting with SMT Solvers in Java

Abstraction Refinement for Emptiness Checking of Alternating Data Automata

Tools and Algorithms for Construction and Analysis of Systems


TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Optical diffraction tomography with finite object support for the minimization of missing cone artifacts

Optimization for customized trajectories in cone beam computed tomography

Medical physics on CD-ROM/Medical physics

A general method for motion compensation in x-ray computed tomography

Fixing Nonconvergence of Algebraic Iterative Reconstruction with an Unmatched Backprojector

Arbitrarily large iterative tomographic reconstruction on multiple GPUs using the TIGRE toolbox

TIGRE-VarianCBCT for on-board cone-beam computed tomography, an open-source toolkit for imaging, dosimetry and clinical research.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Principles for an Implementation of a Complete CT Reconstruction Tool Chain for Arbitrary Sized Data Sets and Its GPU Optimization

Extension of the open-source TIGRE toolbox for proton imaging


Zcash Improvement Proposals

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain for Cities—A Systematic Literature Review

Privacy on the Blockchain: Unique Ring Signatures

Egalitarian computing

ZETH: On Integrating Zerocash on Ethereum

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

ZPiE: Zero-Knowledge Proofs in Embedded Systems

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

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

ZebraLancer: Decentralized Crowdsourcing of Human Knowledge atop Open Blockchain


Pipeline elements for 3x2pt analysis (shear-shear, shear-density, density-density) for DC2

The LSST-DESC 3x2pt Tomography Optimization Challenge

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

Transitioning from Stage-III to Stage-IV: Cosmology from
  galaxy×CMB lensing and shear×CMB lensing

CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

Improved Tomographic Binning of 3x2pt Lens Samples: Neural Network
  Classifiers and Optimal Bin Assignments

The catalog-to-cosmology framework for weak lensing and galaxy
  clustering for LSST


AMReX-based structured wind solver

Ensemble flow reconstruction in the atmospheric boundary layer from spatially limited measurements through latent diffusion models


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

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

Reducing Activation Recomputation in Large Transformer Models

FP8 Formats for Deep Learning

Training Transformers with 4-bit Integers

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

Training and inference of large language models using 8-bit floating
  point


Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

Segment Anything

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set
  Object Detection

Segment Everything Everywhere All at Once

Segment Anything in High Quality

Multimodal Foundation Models: From Specialists to General-Purpose
  Assistants

InstructEdit: Improving Automatic Masks for Diffusion-based Image
  Editing With User Instructions

Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

An Alternative to WSSS? An Empirical Study of the Segment Anything Model
  (SAM) on Weakly-Supervised Semantic Segmentation Problems

Object-aware Inversion and Reassembly for Image Editing


OpenMMLab Self-Supervised Learning Toolbox and Benchmark

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

Fixed-Confidence Guarantees for Bayesian Best-Arm Identification

Masked Autoencoders Are Scalable Vision Learners

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Exploring Simple Siamese Representation Learning

Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Visual Representation Learning by Context Prediction

Improved Baselines with Momentum Contrastive Learning

Barlow Twins: Self-Supervised Learning via Redundancy Reduction


Force11 Software Citation Working Group

A multi-disciplinary perspective on emergent and future innovations in peer review

Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3)

Software Citation in Theory and Practice

Software Citations and the ACAT Community


A modular implementation of timely dataflow in Rust

Disaggregation and the Application

New Directions in Cloud Programming

Serving and Optimizing Machine Learning Workflows on Heterogeneous Infrastructures

Graphsurge: Graph Analytics on View Collections Using Differential Computation

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

A Survey and Experimental Analysis of Distributed Subgraph Matching.

A cross-technology benchmark for incremental graph queries


Reinforcement Learning environments based on the 1993 game Doom :godmode:

ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning

ViZDoom Competitions: Playing Doom from Pixels

Automated Curriculum Learning by Rewarding Temporally Rare Events

TLeague: A Framework for Competitive Self-Play based Distributed Multi-Agent Reinforcement Learning

Causal Reinforcement Learning: A Survey

Deep Reinforcement Learning Models Predict Visual Responses in the Brain: A Preliminary Result


Keras documentation, hosted live at keras.io

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

A Style-Based Generator Architecture for Generative Adversarial Networks

Masked Autoencoders Are Scalable Vision Learners

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Neural Discrete Representation Learning

Denoising Diffusion Implicit Models

ViViT: A Video Vision Transformer

Training Generative Adversarial Networks with Limited Data

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


The VerCors verification toolset for verifying parallel and concurrent software

Correct program parallelisations

International journal on software tools for technology transfer

Alpinist: An Annotation-Aware GPU Program Optimizer

Tools and Algorithms for the Construction and Analysis of Systems

Verification of Shared-Reading Synchronisers

On using VeriFast, VerCors, Plural, and KeY to check object usage


Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations

Fast Algorithms for Convolutional Neural Networks

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Prune Once for All: Sparse Pre-Trained Language Models

M-FAC: Efficient Matrix-Free Approximations of Second-Order Information

GMP*: Well-Tuned Gradual Magnitude Pruning Can Outperform Most
  BERT-Pruning Methods

Sparse*BERT: Sparse Models Generalize To New tasks and Domains


A framework for quantum computing

Qibo: a framework for quantum simulation with hardware acceleration

Quantum autoencoders with enhanced data encoding

Machine learning: science and technology

An open-source modular framework for quantum computing

Determining probability density functions with adiabatic quantum
  computing

Bug Characteristics in Quantum Software Ecosystem

Quantum computation capability verification protocol for noisy intermediate-scale quantum devices with the dihedral coset problem


Reference implementations of MLPerf™ training benchmarks

MLPerf Inference Benchmark

MLPerf Training Benchmark

BigDL: A Distributed Deep Learning Framework for Big Data

Loss Aware Post-training Quantization

Large-Batch Training for LSTM and Beyond

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

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

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

Scalable Realistic Recommendation Datasets through Fractal Expansions

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


An interactive explorer for single-cell transcriptomics data

cellxgene: a performant, scalable exploration platform for high dimensional sparse matrices

Comparison of visualization tools for single-cell RNAseq data

Single Cell Explorer, collaboration-driven tools to leverage large-scale single cell RNA-seq data

Interactive single-cell data analysis using Cellar

Accelerating single-cell genomic analysis with GPUs

Endothelial versus pronephron fate decision is modulated by the transcription factors Cloche/Npas4l, Tal1, and Lmo2

Reproducible Single-Cell Genomic Research in Pulmonary and Critical Care Medicine

American journal of respiratory and critical care medicine

Cytosplore-Transcriptomics: a scalable inter-active framework for single-cell RNA sequencing data analysis

Cyclone: an accessible pipeline to analyze, evaluate and optimize multiparametric cytometry data

bioRxiv : the preprint server for biology

Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis

IEEE transactions on visualization and computer graphics


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

K-BERT: Enabling Language Representation with Knowledge Graph

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

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

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

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

Parallel Corpus Filtering via Pre-trained Language Models

CSL: A Large-scale Chinese Scientific Literature Dataset

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


A centralized location for storing curated data ready for inclusion in cBioPortal.

Single-cell analysis supports a luminal-neuroendocrine transdifferentiation in human prostate cancer

Reshaping of the androgen-driven chromatin landscape in normal prostate cells by early cancer drivers and effect on therapeutic sensitivity

Type 2 dendritic cells mediate control of cytotoxic T cell resistant tumors

Genomic attributes of homology-directed DNA repair deficiency in metastatic prostate cancer

Prognosis and Genomic Landscape of Liver Metastasis in Patients With Breast Cancer

Integrative molecular analyses define correlates of high B7-H3 expression in metastatic castrate-resistant prostate cancer

Deubiquitination in prostate cancer progression: role of USP22

Journal of cancer metastasis and treatment

Comparison of metastatic castration-resistant prostate cancer in bone with other sites: clinical characteristics, molecular features and immune status

Heliangin acts as a covalent ligand of RPS2 that disrupts pre-rRNA metabolic processes in NPM1-mutated acute myeloid leukemia

Mechanism-centric regulatory network identifies NME2 and MYC programs as markers of Enzalutamide resistance in CRPC


IOR and mdtest

Clairvoyant Prefetching for Distributed Machine Learning I/O

CFS: A Distributed File System for Large Scale Container Platforms

Container solutions for HPC Systems: A Case Study of Using Shifter on Blue Waters

Proceedings of the Practice and Experience on Advanced Research Computing

Secure Platform for Processing Sensitive Data on Shared HPC Systems

Analysis of parallel I/O use on the UK national supercomputing service,
  ARCHER using Cray LASSi and EPCC SAFE

Analyzing the Performance of the S3 Object Storage API for HPC Workloads

DAOS as HPC Storage: a View From Numerical Weather Prediction

Performance Comparison of DAOS and Lustre for Object Data Storage Approaches

ADA-FS - Advanced Data Placement via Ad hoc File Systems at Extreme Scales

Software for Exascale Computing - SPPEXA 2016-2019

FTIO: Detecting I/O Periodicity Using Frequency Techniques


Open source eye tracking

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

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

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

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

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

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

Do Smart Glasses Dream of Sentimental Visions?

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

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

Sleep and circadian phenotype in people without cone-mediated vision: a case series of five CNGB3 and two CNGA3 patients

Visual anticipation of the future path: Predictive gaze and steering


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


A toolkit for machine learning from time series

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

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

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

A review and evaluation of elastic distance functions for time series clustering

Unsupervised Feature Based Algorithms for Time Series Extrinsic
  Regression


A command line tool (and Python library) for archiving Twitter JSON

Tracking Social Media Discourse About the COVID-19 Pandemic: Development of a Public Coronavirus Twitter Data Set

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

Unsupervised User Stance Detection on Twitter

Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

How social learning amplifies moral outrage expression in online social networks

Fighting the COVID-19 Infodemic in Social Media: A Holistic Perspective and a Call to Arms

#Election2020: the first public Twitter dataset on the 2020 US Presidential election

MM-COVID: A Multilingual and Multidimensional Data Repository for CombatingCOVID-19 Fake New

CoVaxxy: A Collection of English-Language Twitter Posts About COVID-19 Vaccines

Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach (Preprint)


nnU-Net. Framework for out-of-the box biomedical image segmentation. Can do inference on both gpu(if cuda available) and cpu(if cuda not available)

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

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

TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

nnU-Net for Brain Tumor Segmentation

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence

Diffusion Models for Implicit Image Segmentation Ensembles

Deep learning based brain tumor segmentation: a survey

AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile
  Medical Image Segmentation


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


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

Persistent Memory I/O Primitives

Building blocks for persistent memory


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

A multi-resolution SPH method for fluid-structure interactions

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

An integrative smoothed particle hydrodynamics method for modeling cardiac function

Computer methods in applied mechanics and engineering

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

A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics.

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

Extended Eulerian SPH and its realization of FVM


HighFive - Header-only C++ HDF5 interface

On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes

Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors

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

Phoebe: a collection of Phonon and Electron Boltzmann Equation solvers


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.


The software used to extract structured data from Wikipedia

Wikidata through the Eyes of DBpedia

DBkWik: extracting and integrating knowledge from thousands of Wikis

The New DBpedia Release Cycle: Increasing Agility and Efficiency in Knowledge Extraction Workflows

Semantic Systems. In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7–10, 2020, Proceedings

Improving Knowledge Base Construction from Robust Infobox Extraction

North American Chapter of the Association for Computational Linguistics

DBpedia NIF: Open, Large-Scale and Multilingual Knowledge Extraction Corpus


Streetmix makes it easy for people to design public spaces together.

Open access transport models: A leverage point in sustainable transport planning


Thai Natural Language Processing in Python.

Cross-lingual Language Model Pretraining

Beyond English-Centric Multilingual Machine Translation

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

PyThaiNLP: Thai Natural Language Processing in Python

AttaCut: A Fast and Accurate Neural Thai Word Segmenter

Word Similarity Datasets for Thai: Construction and Evaluation

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

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

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


RotorS is a UAV gazebo simulator

Voxgraph: Globally Consistent, Volumetric Mapping Using Signed Distance Function Submaps

International Conference on Robotics and Automation

Towards Fully Autonomous UAVs: A Survey

Vision-Based Obstacle Avoidance Strategies for MAVs Using Optical Flows in 3-D Textured Environments

Autonomous Drone Racing: A Survey

Overview obstacle maps for obstacle‐aware navigation of autonomous drones

A Comprehensive Review on Autonomous Navigation

Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform


Warning: This project does not have any current developer. See bellow.

Explaining and Harnessing Adversarial Examples

Qualitatively characterizing neural network optimization problems

Pylearn2: a machine learning research library

Knowledge Matters: Importance of Prior Information for Optimization

Analyzing noise in autoencoders and deep networks

Fraternal Dropout

Securing AI-based Healthcare Systems using Blockchain Technology: A
  State-of-the-Art Systematic Literature Review and Future Research Directions

A Generation Method of Immunological Memory in Clonal Selection Algorithm by Using Restricted Boltzmann Machines


sourcecode for reading sensor data


Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Pre-trained models for natural language processing: A survey

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

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

Scaling Up Models and Data with  and

Entity-Based Knowledge Conflicts in Question Answering

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

SciFive: a text-to-text transformer model for biomedical literature

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers


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

Comparison of different control theories on a two wheeled self balancing robot

Koopman-Assisted Reinforcement Learning

Advanced Lecture for PID Controller of Nonlinear System in Python

The International Journal of Recent Technology and Engineering (IJRTE)


Plant phenotyping with image analysis

PlantCV v2.0: Image analysis software for high-throughput plant phenotyping

A Data-Driven Perspective on the Colours of Metal-Organic Frameworks


Computational framework for reinforcement learning in traffic control

Flow: A Modular Learning Framework for Mixed Autonomy Traffic

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion

International Conference on Intelligent Transportation Systems

Simulation to Scaled City: Zero-Shot Policy Transfer for Traffic Control via Autonomous Vehicles

Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning

International Conference on Control and Automation

DRLE: Decentralized Reinforcement Learning at the Edge for Traffic Light Control in the IoV


Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.

Fast convolutional neural networks on FPGAs with hls4ml

Machine learning: science and technology

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

DNNVM: End-to-End Compiler Leveraging Heterogeneous Optimizations on FPGA-Based CNN Accelerators

A Systematic Assessment of Embedded Neural Networks for Object Detection

IEEE International Conference on Emerging Technologies and Factory Automation

WinoCNN: Kernel Sharing Winograd Systolic Array for Efficient Convolutional Neural Network Acceleration on FPGAs

Efficient Edge-AI Application Deployment for FPGAs

Resource-constrained FPGA implementation of YOLOv2

Accurate, Low-latency, Efficient SAR Automatic Target Recognition on FPGA

International Conference on Field-Programmable Logic and Applications

Adaptive Subsampling for ROI-Based Visual Tracking: Algorithms and FPGA Implementation

Embedded Object Detection with Custom LittleNet, FINN and Vitis AI DCNN Accelerators

Journal of low power electronics and applications