Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6

Learning to Filter Context for Retrieval-Augmented Generation

INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error
  Correction through Low-Rank Adaptation

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

Deep Lake: a Lakehouse for Deep Learning

Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation

Mithridates: Auditing and Boosting Backdoor Resistance of Machine
  Learning Pipelines


This is the repository for Python, the radiative transfer code used to winds in AGN and other syatems

Stratified disc wind models for the AGN broad-line region: ultraviolet, optical, and X-ray properties

Monthly notices of the Royal Astronomical Society

Thermal and radiation driving can produce observable disc winds in hard-state X-ray binaries

The luminosity dependence of thermally driven disc winds in low-mass X-ray binaries

Disc wind models for FU Ori objects

ASAS J071404+7004.3 -- a close, bright nova-like with gusty winds

Accretion disc winds in tidal disruption events: ultraviolet spectral lines as orientation indicators

Optical line spectra of tidal disruption events from reprocessing in optically thick outflows

Monthly Notices of the Royal Astronomical Society

The origin of optical emission lines in the soft state of X-ray binary
  outbursts: the case of MAXI J1820+070


ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Democratising deep learning for microscopy with ZeroCostDL4Mic

Recent advances and applications of deep learning methods in materials science

ZeroCostDL4Mic: an open platform to simplify access and use of Deep-Learning in Microscopy

Deep learning - promises for 3D nuclear imaging: a guide for biologists

A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations

Opportunities and challenges for deep learning in cell dynamics research


Expression Atlas

Expression Atlas update—an integrated database of gene and protein expression in humans, animals and plants

Expression Atlas: gene and protein expression across multiple studies and organisms

Expression Atlas update—a database of gene and transcript expression from microarray- and sequencing-based functional genomics experiments

β2 Integrins As Regulators of Dendritic Cell, Monocyte, and Macrophage Function


Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Differentiable Causal Discovery from Interventional Data

Causal Discovery Toolbox: Uncover causal relationships in Python

DiBS: Differentiable Bayesian Structure Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Structural Intervention Distance (SID) for Evaluating Causal Graphs

Interventions, Where and How? Experimental Design for Causal Models at
  Scale

Learning DAGs from Data with Few Root Causes


A platform for collecting and disseminating data for the Sustainable Development Goal global indicators.


Matlab toolbox for Geometry Processing.

Orientation-boosted Voxel Nets for 3D Object Recognition

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence

Global rigid registration of CT to video in laparoscopic liver surgery

International journal of computer assisted radiology and surgery

Designing Volumetric Truss Structures

Information decomposition of multichannel EMG to map functional interactions in the distributed motor system

A Smoothness Energy without Boundary Distortion for Curved Surfaces

Globally Consistent Normal Orientation for Point Clouds by Regularizing the Winding-Number Field

Complementary Dynamics

Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis

Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted
  Bases


An open-source tool for sequence learning in NLP built on TensorFlow.

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation

Attention Strategies for Multi-Source Sequence-to-Sequence Learning

CUNI System for the WMT18 Multimodal Translation Task

Input Combination Strategies for Multi-Source Transformer Decoder

Neural Monkey: An Open-source Tool for Sequence Learning

The Prague Bulletin of Mathematical Linguistics

From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions

Results of the WMT17 Neural MT Training Task

Proceedings of the Second Conference on Machine Translation

Context in Neural Machine Translation: A Review of Models and Evaluations.

CUNI System for WMT17 Automatic Post-Editing Task

Are BLEU and Meaning Representation in Opposition?

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


A high-performance DNS stub resolver for bulk lookups and reconnaissance (subdomain enumeration)

A First Look at SVCB and HTTPS DNS Resource Records in the Wild

2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)

Active TLS Stack Fingerprinting: Characterizing TLS Server Deployments
  at Scale


Tool for the Quality Control of Long-Read Defined Transcriptomes

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus

High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing

Long-read isoform sequencing reveals tissue-specific isoform expression between active and hibernating brown bears (Ursus arctos)

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

bioRxiv : the preprint server for biology

Reference long-read isoform-aware transcriptomes of 4 human peripheral blood lymphocyte subsets

Bulk and single‐cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation

In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing


Internet of Blockchains ⚛

Atomic Crosschain Transactions for Ethereum Private Sidechains

Survey of crosschain communications protocols

General Purpose Atomic Crosschain Transactions

Verifiable Smart Contract Portability

Distributed Ledger Technologies for Network Slicing: A Survey

Research on Multidomain Authentication of IoT Based on Cross-Chain Technology

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

Generic Superlight Client for Permissionless Blockchains

Verilay: A Verifiable Proof of Stake Chain Relay

SmartSync: Cross-Blockchain Smart Contract Interaction and Synchronization


Israel's Ministry of Health's COVID-19 Exposure Prevention App

A Survey of COVID-19 Contact Tracing Apps

Anonymous Collocation Discovery: Harnessing Privacy to Tame the Coronavirus

Confidential Computing for Privacy-Preserving Contact Tracing

Quantifying the Privacy-Utility Trade-offs in COVID-19 Contact Tracing
  Apps


SmartBugs: A Framework to Analyze Ethereum Smart Contracts

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

International Conference on Software Engineering

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts

Source Code Obfuscation for Smart Contracts

Asia-Pacific Software Engineering Conference

Symbolic value-flow static analysis: deep, precise, complete modeling of Ethereum smart contracts

Proceedings of the ACM on programming languages

Smart Contract Upgradeability on the Ethereum Blockchain Platform: An
  Exploratory Study

AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart
  Contract Vulnerabilities and Their Fixes

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart Contracts

VOLCANO: Detecting Vulnerabilities of Ethereum Smart Contracts Using
  Code Clone Analysis


Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.

TensorIR: An Abstraction for Automatic Tensorized Program Optimization

Compress, Then Prompt: Improving Accuracy-Efficiency Trade-off of LLM
  Inference with Transferable Prompt

FFSplit: Split Feed-Forward Network For Optimizing Accuracy-Efficiency
  Trade-off in Language Model Inference


A Python package for flavour physics phenomenology in the Standard model and beyond

The Belle II Physics Book

Progress of theoretical and experimental physics

flavio: a Python package for flavour and precision phenomenology in the
  Standard Model and beyond

Rare b decays meet high-mass Drell-Yan

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

Anatomy of
    ε '/ε
 ε ′ / ε beyond the standard model

Anomalies in B mesons decays: a phenomenological approach

Anomalies in B mesons decays: Present status and future collider
  prospects


Guided Policy Search

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Guided Policy Search as Approximate Mirror Descent

Generalizing Skills with Semi-Supervised Reinforcement Learning


Estimate Realtime Case Counts and Time-varying Epidemiological Parameters

Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts

The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia

Estimating epidemiologic dynamics from cross-sectional viral load distributions

medRxiv : the preprint server for health sciences

Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England

Incorporating temporal distribution of population-level viral load enables real-time estimation of COVID-19 transmission


OpenABM-Covid19: an agent-based model for modelling the spread of SARS-CoV-2 (coronavirus) and control interventions for the Covid-19 epidemic

OpenABM-Covid19—An agent-based model for non-pharmaceutical interventions against COVID-19 including contact tracing

Modeling the effect of exposure notification and non-pharmaceutical interventions on COVID-19 transmission in Washington state

The COVID-19 response illustrates that traditional academic reward structures and metrics do not reflect crucial contributions to modern science

The `how' matters: A simulation-based assessment of the potential contributions of LFD tests for school reopening in England

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital
  Contact Tracing


An Easy-to-use, Scalable and High-performance RLHF Framework (Support 70B+ full tuning & LoRA & Mixtral & KTO)

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Aligning Language Models with Offline Learning from Human Feedback


Qbsolv,a decomposing solver, finds a minimum value of a large quadratic unconstrained binary optimization (QUBO) problem by splitting it into pieces solved either via a D-Wave system or a classical tabu solver.   (Note that qbsolv by default uses its internal classical solver.  Access to a D-Wave system must be arranged separately.)

Traffic flow optimization using a quantum annealer

Graph Partitioning using Quantum Annealing on the D-Wave System

A Hybrid Solution Method for the Capacitated Vehicle Routing Problem Using a Quantum Annealer

Open source software in quantum computing

Nonnegative/Binary matrix factorization with a D-Wave quantum annealer

Prime factorization algorithm based on parameter optimization of Ising model

A Tutorial on Formulating and Using QUBO Models

Calculation of molecular vibrational spectra on a quantum annealer

Journal of chemical theory and computation

Towards Prediction of Financial Crashes with a D-Wave Quantum Computer

Hybrid quantum annealing via molecular dynamics


Python Package for Airborne RGB machine learning


Userspace eBPF VM

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF

Towards Flexible Anonymous Networks


Multi-vector Simulation Tool assessing and optimizing Local Energy Systems (LES) for the E-LAND project


detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

End-to-End Object Detection with Transformers

Deformable DETR: Deformable Transformers for End-to-End Object Detection

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

Conditional DETR for Fast Training Convergence

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

DETRs with Hybrid Matching

V3Det: Vast Vocabulary Visual Detection Dataset

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Detection Transformer with Stable Matching


Developer repository for the LATTE code

Next generation extended Lagrangian first principles molecular dynamics

Enabling particle applications for exascale computing platforms

The international journal of high performance computing applications

Quantum-based Molecular Dynamics Simulations Using Tensor Cores

Quantum perturbation theory using Tensor cores and a deep neural network

Density-matrix based Extended Lagrangian Born-Oppenheimer Molecular
  Dynamics

Bringing discrete-time Langevin splitting methods into agreement with thermodynamics

Graph-based Quantum Response Theory and Shadow Born-Oppenheimer
  Molecular Dynamics

Shadow Energy Functionals and Potentials in Born-Oppenheimer Molecular
  Dynamics

A fast, dense Chebyshev solver for electronic structure on GPUs


General Toolkit for Modeling Radial Velocity Data

RadVel: The Radial Velocity Modeling Toolkit

Publications of the Astronomical Society of the Pacific

Age Determination in Upper Scorpius with Eclipsing Binaries

Three’s Company: An Additional Non-transiting Super-Earth in the Bright HD 3167 System, and Masses for All Three Planets

Four Sub-Saturns with Dissimilar Densities: Windows into Planetary Cores and Envelopes

Masses and compositions of three small planets orbiting the nearby M dwarf L231-32 (TOI-270) and the M dwarf radius valley

The CARMENES Search for Exoplanets around M Dwarfs: A Low-mass Planet in the Temperate Zone of the Nearby K2-18

K2-66b and K2-106b: Two Extremely Hot Sub-Neptune-size Planets with High Densities

New Insights on Planet Formation in WASP-47 from a Simultaneous Analysis of Radial Velocities and Transit Timing Variations

Two Small Transiting Planets and a Third Body Orbiting HD 106315

zeus: a PYTHON implementation of ensemble slice sampling for efficient Bayesian parameter inference

Monthly notices of the Royal Astronomical Society


Collective Mind (CM) is a small, modular, cross-platform and decentralized workflow automation framework with a human-friendly interface and reusable automation recipes to make it easier to build, run, benchmark and optimize AI, ML and other applications and systems across diverse and continuously changing models, data, software and hardware

Collective knowledge: organizing research projects as a database of reusable components and portable workflows with common interfaces

Collective Mind, Part II: Towards Performance- and Cost-Aware Software
  Engineering as a Natural Science

A Collective Knowledge workflow for collaborative research into multi-objective autotuning and machine learning techniques.

Workflows Community Summit: Advancing the State-of-the-art of Scientific Workflows Management Systems Research and Development

The Collective Knowledge project: making ML models more portable and reproducible with open APIs, reusable best practices and MLOps

GEMMbench: a framework for reproducible and collaborative benchmarking
  of matrix multiplication

Integrating a large-scale testing campaign in the CK framework

SysML'19 demo: customizable and reusable Collective Knowledge pipelines to automate and reproduce machine learning experiments.

Victima: Drastically Increasing Address Translation Reach by Leveraging Underutilized Cache Resources


Modern Super Learning with Machine Learning Pipelines

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

Global land characterisation using land cover fractions at 100 m resolution

A Fundamental Measure of Treatment Effect Heterogeneity

Comparison of a Target Trial Emulation Framework vs Cox Regression to Estimate the Association of Corticosteroids With COVID-19 Mortality

txshift: Efficient estimation of the causal effects of stochastic interventions in R

An Easy Implementation of CV-TMLE

Adaptive Sequential Design for a Single Time-Series

Application of targeted maximum likelihood estimation in public health
  and epidemiological studies: a systematic review

Effect of Sepsis on Death as Modified by Solid Organ Transplantation

CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R


Python Spectroscopic Toolkit

Pyspeckit: A Spectroscopic Analysis and Plotting Package

Mapping Jet-ISM Interactions in X-ray Binaries with ALMA: A GRS 1915+105 Case Study

Monthly Notices of the Royal Astronomical Society

The Young Massive Star Cluster Westerlund 2 Observed with MUSE. I. First Results on the Cluster Internal Motion from Stellar Radial Velocities

Evidence for an Interaction between the Galactic Center Clouds M0.10–0.08 and M0.11–0.11


UCLID5: formal modeling, verification, and synthesis of computational systems

UCLID5: Multi-Modal Formal Modeling, Verification, and Synthesis

Verification of Quantitative Hyperproperties Using Trace Enumeration Relations

A Methodology for Developing a Verifiable Aircraft Engine Controller from Formal Requirements

Synthesis in Uclid5.


Specification documents for the P4Runtime control-plane API

The Programmable Data Plane: Abstractions, Architectures, Algorithms, and Applications

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


An educational resource to help anyone learn deep reinforcement learning.

Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Super-Human Performance in Gran Turismo Sport Using Deep Reinforcement Learning

International Conference on Robotics and Automation

Identifying optimal cycles in quantum thermal machines with reinforcement-learning

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

Deep Reinforcement Learning with Population-Coded Spiking Neural Network for Continuous Control

Task-Agnostic Exploration via Policy Gradient of a Non-Parametric State Entropy Estimate

Tonic: A Deep Reinforcement Learning Library for Fast Prototyping and
  Benchmarking

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning


Official GitHub repository for netCDF-Fortran libraries, which depend on the netCDF C library.  Install the netCDF C library first.

The AlborEX dataset: sampling of sub-mesoscale features in the Alboran Sea


Python and JavaScript bindings for calling the Earth Engine API.

AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

sUAS Remote Sensing of Vineyard Evapotranspiration Quantifies Spatiotemporal Uncertainty in Satellite-Borne ET Estimates

CLOUD-DESKTOP REMOTE SENSING DATA MANAGEMENT TO ENSURE TIME SERIES ANALYSIS, INTEGRATION OF QGIS AND GOOGLE EARTH ENGINE

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

Improving the congruency of satellite-based fertilizer maps with field-operable units using pneumatic spreaders


Astronomy and astrophysics core library

The Astropy Project: Building an Open-science Project and Status of the v2.0 Core Package

Python Leap Second Management and Implementation of Precise Barycentric Correction (barycorrpy)

Hypothesis: A new approach to property-based testing

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

On the Detection of Exomoons Transiting Isolated Planetary-mass Objects

Prediction and Verification of Parker Solar Probe Solar Wind Sources at
  13.3 R_⊙

Fast period searches using the Lomb–Scargle algorithm on Graphics Processing Units for large datasets and real-time applications

CSST WL preparation I: forecast the impact from non-Gaussian covariances
  and requirements on systematics-control

Falsify your Software: validating scientific code with property-based testing

Proceedings of the Python in Science Conferences

DESI and DECaLS (D&D): galaxy–galaxy lensing measurements with 1 per cent survey and its forecast


【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

Wide & Deep Learning for Recommender Systems

An Overview of Multi-Task Learning in Deep Neural Networks

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

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

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

Product-based Neural Networks for User Response Prediction


Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

Neural architecture for question answering using a knowledge graph and web corpus

Efficient SPARQL Autocompletion via SPARQL

Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit

Wespeaker: A Research and Production oriented Speaker Embedding Learning
  Toolkit

High Fidelity Speech Enhancement with Band-split RNN

The SJTU X-LANCE Lab System for CNSRC 2022

SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022

Golden Gemini is All You Need: Finding the Sweet Spots for Speaker
  Verification

PP-MET: A Real-World Personalized Prompt Based Meeting Transcription System


Rule-based modeling framework

BioNetGen 2.2: advances in rule-based modeling

Pleione: A tool for statistical and multi-objective calibration of Rule-based models

A Step-by-Step Guide to Using BioNetFit


Brevitas: neural network quantization in PyTorch

FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference

FAT: Training Neural Networks for Reliable Inference Under Hardware Faults

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

Graph Neural Networks for Charged Particle Tracking on FPGAs

Optimisation of the PointPillars network for 3D object detection in point clouds

Signal Processing: Algorithms, Architectures, Arrangements, and Applications

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

An Exploration of State-of-the-Art Automation Frameworks for FPGA-Based DNN Acceleration

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

Journal of low power electronics and applications


RISC-V Configuration Validator


Ecosystem Demography Model

The Central Amazon Biomass Sink Under Current and Future Atmospheric CO2: Predictions From Big‐Leaf and Demographic Vegetation Models

Journal of geophysical research. Biogeosciences

The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling

Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

Climate Drives Modeled Forest Carbon Cycling Resistance and Resilience in the Upper Great Lakes Region, USA


Image augmentation for machine learning experiments.

Albumentations: fast and flexible image augmentations

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

The ApolloScape Open Dataset for Autonomous Driving and Its Application

IEEE transactions on pattern analysis and machine intelligence

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

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Computer methods and programs in biomedicine

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data

Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

SLEAP: A deep learning system for multi-animal pose tracking

Scenic: A Language for Scenario Specification and Scene Generation

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning


Creative Commons Attribution 4.0 International

The generic genome-scale metabolic model of Homo sapiens

Genome-scale metabolic network reconstruction of model animals as a platform for translational research

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

Identification and Characterization of Robust Hepatocellular Carcinoma Prognostic Subtypes Based on an Integrative Metabolite‐Protein Interaction Network

Metastatic triple negative breast cancer adapts its metabolism to destination tissues while retaining key metabolic signatures

Machine learning-guided evaluation of extraction and simulation methods for cancer patient-specific metabolic models

Computational and structural biotechnology journal

Integration of omics data to generate and analyse COVID-19 specific genome-scale metabolic models

Constraint-Based Reconstruction and Analyses of Metabolic Models: Open-Source Python Tools and Applications to Cancer

TumorMet: A repository of tumor metabolic networks derived from context-specific Genome-Scale Metabolic Models


Aloception is a set of package for computer vision: aloscene, alodataset, alonet.

End-to-End Object Detection with Transformers

Deformable DETR: Deformable Transformers for End-to-End Object Detection

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow


Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape

A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees

bioRxiv : the preprint server for biology

Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic

Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America

Genomic and transcriptomic characterization of delta SARS-CoV-2 infection in free-ranging white-tailed deer (Odocoileus virginianus)

Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

Pandemic-scale phylogenetics

Systematic Guidelines for Effective Utilization of COVID-19 Databases in Genomic, Epidemiologic, and Clinical Research


The Virtual Planet Simulator

Rotation Period Evolution in Low-mass Binary Stars: The Impact of Tidal Torques and Magnetic Braking

VPLanet: The Virtual Planet Simulator

Exomoons in the Habitable Zones of M Dwarfs

On the XUV Luminosity Evolution of TRAPPIST-1

The Contribution of M-dwarf Flares to the Thermal Escape of Potentially Habitable Planet Atmospheres

A Coupled Analysis of Atmospheric Mass Loss and Tidal Evolution in XUV Irradiated Exoplanets: The TRAPPIST-1 Case Study

The Ice Coverage of Earth-like Planets Orbiting FGK Stars

The μ Arae Planetary System: Radial Velocities and Astrometry


Cyclops Tensor Framework: parallel arithmetic on multidimensional arrays

Red-blue pebbling revisited: near optimal parallel matrix-matrix multiplication

DISTAL: the distributed tensor algebra compiler

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

SpDISTAL: Compiling Distributed Sparse Tensor Computations

Deinsum: Practically I/O Optimal Multi-Linear Algebra


Automatically Track Radiosonde Launches using RTLSDR


All the code for Bike Index, because we love you


InVivoTools a set of neurophysiology tools, forked from VanHooserTools, containing tools for visual stimulation and analysis of calcium imaging and extracellular electrophysiology data

Visual Cortex Limits Pop-Out in the Superior Colliculus of Awake Mice

Visual Processing by Calretinin Expressing Inhibitory Neurons in Mouse Primary Visual Cortex

Lack of functional specialization of neurons in the mouse primary visual cortex that have expressed calretinin

Contrast-Dependence of Temporal Frequency Tuning in Mouse V1

Thalamic regulation of ocular dominance plasticity in adult visual cortex


Fast Holographic Deconvolution

Hydrogen Epoch of Reionization Array (HERA)

FIRST SEASON MWA EOR POWER SPECTRUM RESULTS AT REDSHIFT 7

Empirical covariance modeling for 21 cm power spectrum estimation: A method demonstration and new limits from early Murchison Widefield Array 128-tile data

Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D, Particles, fields, gravitation, and cosmology

Improving the Epoch of Reionization Power Spectrum Results from Murchison Widefield Array Season 1 Observations

A Simplified, Lossless Reanalysis of PAPER-64

THE IMPORTANCE OF WIDE-FIELD FOREGROUND REMOVAL FOR 21 cm COSMOLOGY: A DEMONSTRATION WITH EARLY MWA EPOCH OF REIONIZATION OBSERVATIONS

First Season MWA Phase II Epoch of Reionization Power Spectrum Results at Redshift 7

THE MURCHISON WIDEFIELD ARRAY 21 cm POWER SPECTRUM ANALYSIS METHODOLOGY

Fundamental Limitations on the Calibration of Redundant 21 cm Cosmology Instruments and Implications for HERA and the SKA

The Challenges of Low-Frequency Radio Polarimetry: Lessons from the Murchison Widefield Array

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia


Massively parallel rigidbody physics simulation on accelerator hardware.

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger

Grasp'D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered
  Hands

EvoJAX: Hardware-Accelerated Neuroevolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware

Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

Differentiable Physics Simulations with Contacts: Do They Have Correct
  Gradients w.r.t. Position, Velocity and Control?

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization


Stanford Network Analysis Platform (SNAP) is a general purpose network analysis and graph mining library.

Inferring Networks of Substitutable and Complementary Products

Inductive Representation Learning on Temporal Graphs

Overlapping Community Detection with Graph Neural Networks

Billion-scale Network Embedding with Iterative Random Projection

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

Graph Classification with 2D Convolutional Neural Networks

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

EndCold: An End-to-End Framework for Cold Question Routing in Community Question Answering Services

Classifying Graphs as Images with Convolutional Neural Networks.

GRAPE for Fast and Scalable Graph Processing and random walk-based
  Embedding


Self-describing content-addressed identifiers for distributed systems

GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports

A Fully Decentralized Triplestore Managed via the Ethereum Blockchain


Real-Time Rendering Framework

Real-time neural radiance caching for path tracing

Dynamic Diffuse Global Illumination Resampling

Decorrelating ReSTIR Samplers via MCMC Mutations

Neural Shadow Mapping

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Real-Time Neural Appearance Models

Ray-VR: Ray Tracing Virtual Reality in Falcor

Proceduray - A light-weight engine for procedural primitive ray tracing.

Real-Time Path-Guiding Based on Parametric Mixture Models

Training and Predicting Visual Error for Real-Time Applications

Proceedings of the ACM on computer graphics and interactive techniques


QUIC and HTTP/3 implementation in Python

One to Rule them All? A First Look at DNS over QUIC

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

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

2023 IFIP Networking Conference (IFIP Networking)

Tracking the QUIC spin bit on Tofino

Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

Evaluating Transport Protocols on 5G for Mobile Augmented Reality


Aqualink.org Ocean Monitoring Application


(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.

Sexism Prediction in Spanish and English Tweets Using Monolingual and
  Multilingual BERT and Ensemble Models

Interactive Contrastive Learning for Self-Supervised Entity Alignment

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Workshop on Innovative Use of NLP for Building Educational Applications

Towards Unsupervised Grammatical Error Correction using Statistical Machine Translation with Synthetic Comparable Corpus.

A Perspectival Mirror of the Elephant: Investigating Language Bias on
  Google, ChatGPT, Wikipedia, and YouTube

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Multimodal Matching-aware Co-attention Networks with Mutual Knowledge Distillation for Fake News Detection


Java time series machine learning tools in a Weka compatible toolkit

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

HIVE-COTE 2.0: a new meta ensemble for time series classification

The Canonical Interval Forest (CIF) Classifier for Time Series Classification

Scalable Dictionary Classifiers for Time Series Classification

The Temporal Dictionary Ensemble (TDE) Classifier for Time Series Classification

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2020, PT I

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

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

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

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

A tale of two toolkits, report the first: benchmarking time series classification algorithms for correctness and efficiency


Generalized Random Forests

Generalized Random Forests

Estimating Treatment Effects with Causal Forests: An Application

Conformal Inference of Counterfactuals and Individual Treatment Effects

Local Linear Forests

Estimating heterogeneous treatment effects with right-censored data via causal survival forests

A machine learning approach to the digitalization of bank customers: Evidence from random and causal forests

Learning Optimal Prescriptive Trees from Observational Data

When do Words Matter? Understanding the Impact of Lexical Choice on Audience Perception using Individual Treatment Effect Estimation

Design and Evaluation of Personalized Free Trials

Assessing incentives to increase digital payment acceptance and usage: A machine learning approach


A PyTorch Library for Meta-learning Research

Prototypical Networks for Few-shot Learning

On First-Order Meta-Learning Algorithms

Meta-Learning with Differentiable Convex Optimization

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Meta-learning with differentiable closed-form solvers

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

A Baseline for Few-Shot Image Classification

ProMP: Proximal Meta-Policy Search

Generalized Inner Loop Meta-Learning

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum


Zcash - Internet Money

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain-Based Secure Storage Management with Edge Computing for IoT

On the Anonymity Guarantees of Anonymous Proof-of-Stake Protocols

PayPlace: Secure and Flexible Operator-Mediated Payments in Blockchain Marketplaces at Scale


Parameter server framework for distributed machine learning

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

Enabling Fast and Flexible Distributed Deep Learning with Programmable
  Switches


Semantics of C in K

Exploring C semantics and pointer provenance

Proceedings of the ACM on programming languages

Understanding GCC Builtins to Develop Better Tools

Deductive Verification of Programs with Underspecified Semantics by Model Extraction.

The Right Kind of Non-Determinism: Using Concurrency to Verify C Programs with Underspecified Semantics


PostgreSQL extension adding HyperLogLog data structures as a native data type

Cardinality Estimators do not Preserve Privacy

Privacy-Aware Visualization of Volunteered Geographic Information (VGI) to Analyze Spatial Activity: A Benchmark Implementation

ISPRS international journal of geo-information

Using HyperLogLog to Prevent Data Retention in Social Media Streaming Data Analytics


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

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

Visibility reasoning for concurrent snapshot algorithms

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

Verifying C++ Dynamic Binding

Modular Formal Verification of Rust Programs with Unsafe Blocks

Verification of C++ Programs with VeriFast


ZMapv6: Internet Scanner with IPv6 capabilities

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

From Single Lane to Highways: Analyzing the Adoption of Multipath TCP in the Internet

Rusty Clusters? Dusting an IPv6 Research Foundation

Proceedings of the 22nd ACM Internet Measurement Conference

IPvSeeYou: Exploiting Leaked Identifiers in IPv6 for Street-Level Geolocation

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

Characterizing the VPN Ecosystem in the Wild

A Longitudinal View at the Adoption of Multipath TCP

Target Acquired? Evaluating Target Generation Algorithms for IPv6

IPv6 Hitlists at Scale: Be Careful What You Wish For


A structural variation pipeline for short-read sequencing

A reference human induced pluripotent stem cell line for large-scale collaborative studies.

Genome‐Wide Analysis of Structural Variants in Parkinson Disease

Genome-wide structural variant analysis identifies risk loci for non-Alzheimer’s dementias


Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning

Reverb: A Framework For Experience Replay

When should agents explore?

Return-based Scaling: Yet Another Normalisation Trick for Deep RL

The Architectural Implications of Distributed Reinforcement Learning on CPU-GPU Systems

Training a First-Order Theorem Prover from Synthetic Data

QuaRL: Quantization for Fast and Environmentally Sustainable
  Reinforcement Learning


Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.

Learning Constrained Adaptive Differentiable Predictive Control Policies
  With Guarantees

Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem

Neural Ordinary Differential Equations for Nonlinear System Identification

Learning Stochastic Parametric Differentiable Predictive Control
  Policies

Differentiable Predictive Control with Safety Guarantees: A Control Barrier Function Approach

Towards Practical Physics-Informed ML Design and Evaluation for Power
  Grid

Robust Differentiable Predictive Control with Safety Guarantees: A
  Predictive Safety Filter Approach

Contingency Analyses with Warm Starter using Probabilistic Graphical
  Model

Neuro-physical dynamic load modeling using differentiable parametric optimization


Specifications and tools for 360º video and spatial audio.

Spherical Panoramas for Astrophysical Data Visualization

Publications of the Astronomical Society of the Pacific

Immersive Virtual Reality Experiences for All-Sky Data

Self-Supervised Learning of Audio Representations From Audio-Visual Data Using Spatial Alignment

EXTENDING THE LIFE OF VIRTUAL HERITAGE: REUSE OF TLS POINT CLOUDS IN SYNTHETIC STEREOSCOPIC SPHERICAL IMAGES

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


ELKI Data Mining Toolkit

Modern hierarchical, agglomerative clustering algorithms

Precision-Recall-Gain Curves: PR Analysis Done Right

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Barnes-Hut-SNE

Fast and Provably Good Seedings for k-Means

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast K-Means with Accurate Bounds

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5
  "Heidelberg"

Improving the Cluster Structure Extracted from OPTICS Plots

Hilbert Exclusion: Improved Metric Search through Finite Isometric Embeddings

ACM transactions on office information systems


QKeras: a quantization deep learning library for Tensorflow Keras

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

Machine learning: science and technology

Fast convolutional neural networks on FPGAs with hls4ml

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Accelerator

Charged particle tracking via edge-classifying interaction networks

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference

ROBIN: A Robust Optical Binary Neural Network Accelerator

Graph Neural Networks for Charged Particle Tracking on FPGAs

Enabling Binary Neural Network Training on the Edge

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml


H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://h2oai.github.io/h2o-llmstudio/

LoRA: Low-Rank Adaptation of Large Language Models

h2oGPT: Democratizing Large Language Models

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


Community-provided extensions to Seurat

Inferring and perturbing cell fate regulomes in human brain organoids

Ferroptotic stress promotes the accumulation of pro-inflammatory proximal tubular cells in maladaptive renal repair

CSS: cluster similarity spectrum integration of single-cell genomics data

Single-Cell RNA Sequencing Characterizes the Molecular Heterogeneity of the Larval Zebrafish Optic Tectum

Cell specialization and coordination in Arabidopsis leaves upon pathogenic attack revealed by scRNA-seq

Integrating single-cell transcriptomes, chromatin accessibility, and multiomics analysis of mesoderm-induced embryonic stem cells


See your city's air pollution measured in daily cigarettes. iOS/Android.


The library for web and native user interfaces.

Identifying Experts in Software Libraries and Frameworks among GitHub
  Users

COMPARISON OF FRONT-END FRAMEWORKS FOR WEB APPLICATIONS DEVELOPMENT

Don't Disturb Me: Challenges of Interacting with SoftwareBots on Open
  Source Software Projects

Automatic whole cell organelle segmentation in volumetric electron microscopy

Extending the Nested Model for User-Centric XAI: A Design Study on GNN-based Drug Repurposing

IEEE transactions on visualization and computer graphics

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases

Interactive Visual Pattern Search on Graph Data via Graph Representation Learning

Beyond Textual Issues: Understanding the Usage and Impact of GitHub Reactions

Zenodo (CERN European Organization for Nuclear Research)

From One to Hundreds: Multi-Licensing in the JavaScript Ecosystem

Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures


Android ViewServer and ADB client

Translating Video Recordings of Mobile App Usages into Replayable Scenarios

International Conference on Software Engineering

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

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

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

AppQ: Warm-starting App Recommendation Based on View Graphs

Detection of SSL/TLS Implementation Errors in Android Applications

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


QUICsand: Quantifying QUIC Reconnaissance Scans and DoS Flooding Events

PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021

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

On the interplay between TLS certificates and QUIC performance

Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies

ECN with QUIC: Challenges in the Wild

Proceedings of the 2023 ACM on Internet Measurement Conference


ROOT I/O in pure Python and NumPy.

A FAIR and AI-ready Higgs boson decay dataset

MLaaS4HEP: Machine Learning as a Service for HEP

ProIO: An event-based I/O stream format for protobuf messages

HL-LHC Computing Review: Common Tools and Community Software

Fast access to columnar, hierarchically nested data via code transformation

Toward real-time data query systems in HEP

Analysis Cyberinfrastructure: Challenges and Opportunities

Machine Learning as a Service for HEP

Processing Columnar Collider Data with GPU-Accelerated Kernels

hepaccelerate: Fast Analysis of Columnar Collider Data


Collections of robotics environments geared towards benchmarking multi-task and meta reinforcement learning

Meta-World: A Benchmark and Evaluation for Multi-Task and Meta Reinforcement Learning

A Generalist Agent

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Multi-Task Reinforcement Learning with Context-based Representations

Reinforcement Learning with Action-Free Pre-Training from Videos

Meta-learning curiosity algorithms

Conservative Data Sharing for Multi-Task Offline Reinforcement Learning

How to Leverage Unlabeled Data in Offline Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

DNA Replication Control in Microbial Cell Factories


Graphics Processing Units Molecular Dynamics

Influence of thermostatting on nonequilibrium molecular dynamics simulations of heat conduction in solids

Homogeneous nonequilibrium molecular dynamics method for heat transport and spectral decomposition with many-body potentials

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Equivalence of the equilibrium and the nonequilibrium molecular dynamics methods for thermal conductivity calculations: From bulk to nanowire silicon

Thermal transport in MoS2 from molecular dynamics using different empirical potentials

Reduced thermal conductivity of supported and encased monolayer and bilayer MoS2

Improving the accuracy of the neuroevolution machine learning potential for multi-component systems

Heat transport in pristine and polycrystalline single-layer hexagonal boron nitride

Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics

Thermal transport properties of single-layer black phosphorus from extensive molecular dynamics simulations

Modelling and simulation in materials science and engineering

Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine learning molecular dynamics simulations


Zooniverse API to support user defined volunteer research projects

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

Deep learning for automatic segmentation of the nuclear envelope in electron microscopy data, trained with volunteer segmentations

Planet Four: Terrains – Discovery of araneiforms outside of the South Polar layered deposits

The Milky Way Project second data release: bubbles and bow shocks

Monthly Notices of the Royal Astronomical Society

Optimizing the Human-Machine Partnership with Zooniverse.


FEDn: Scalable, secure and robust federated machine learning. This repository contains the open source Python framework, CLI and API.

Scalable federated machine learning with FEDn

Analysis of Privacy-Enhancing Technologies in Open-Source Federated Learning Frameworks for Driver Activity Recognition

ASSERT: A Blockchain-Based Architectural Approach for Engineering Secure Self-Adaptive IoT Systems

Hierarchical and Decentralised Federated Learning


LIBSVM -- A Library for Support Vector Machines

Effective Discriminative Feature Selection With Nontrivial Solution

IEEE transactions on neural networks and learning systems

Group Anomaly Detection using Deep Generative Models

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

A Comparison of Different Approaches to Document Representation in Turkish Language

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Effective Discriminative Feature Selection with Non-trivial Solutions

Negative Emotion Recognition in Spoken Dialogs

Short Text Embedding Autoencoders With Attention-Based Neighborhood Preservation


A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Kubric: A scalable dataset generator

Conditional Object-Centric Learning from Video

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of
  3D Scenes

Differentiable Patch Selection for Image Recognition

Learning rigid dynamics with face interaction graph networks

Neural Fourier Transform: A General Approach to Equivariant
  Representation Learning

Patch-based Object-centric Transformers for Efficient Video Generation

Coarse-to-Fine Amodal Segmentation with Shape Prior


An easy-to-use reinforcement learning library for research and education.

UCB Momentum Q-learning: Correcting the bias without forgetting

Kernel-Based Reinforcement Learning: A Finite-Time Analysis

Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs

Adaptive Discretization in Online Reinforcement Learning

Online Policy Optimization for Robust MDP

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

Bandits Corrupted by Nature: Lower Bounds on Regret and Robust Optimistic Algorithm

Adversarial Online Multi-Task Reinforcement Learning


Multivariate Imputation by Chained Equations

Multiple imputation using chained equations: Issues and guidance for practice

Learning Individual Models for Imputation

R-miss-tastic: a unified platform for missing values methods and workflows

Impact of sleep problems on daytime function in school life: a cross-sectional study involving Japanese university students

Dementia Prediction on OASIS Dataset using Supervised and Ensemble Learning Techniques

International journal of engineering and advanced technology

Handling Missing Data via Max-Entropy Regularized Graph Autoencoder

A systematic review and meta-analysis of pathogen reduction in onsite sanitation systems

Solving the "many variables" problem in MICE with principal component
  regression


Image-processing software for cryo-electron microscopy

Molecular Basis for poly(A) RNP Architecture and Recognition by the Pan2-Pan3 Deadenylase

Structural insight into SARS-CoV-2 neutralizing antibodies and modulation of syncytia

Mechanism of ribosome-associated mRNA degradation during tubulin autoregulation

Structural basis of transcription reduction by a promoter-proximal +1 nucleosome

Mpe1 senses the binding of pre-mRNA and controls 3′ end processing by CPF

Characterization of the rotavirus assembly pathway in situ using cryoelectron tomography

Structural basis for ion selectivity in potassium-selective channelrhodopsins

GPU Domain Specialization via Composable On-Package Architecture

The role of bivalent ions in the regulation of D-loop extension mediated by DMC1 during meiotic recombination


BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

YOLOv4: Optimal Speed and Accuracy of Object Detection

Simple Online and Realtime Tracking with a Deep Association Metric

Omni-Scale Feature Learning for Person Re-Identification

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

StrongSORT: Make DeepSORT Great Again

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

BoT-SORT: Robust Associations Multi-Pedestrian Tracking

Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification

DropTrack—Automatic droplet tracking with YOLOv5 and DeepSORT for microfluidic applications

SOMPT22: A Surveillance Oriented Multi-Pedestrian Tracking Dataset


DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data

Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles

Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?


A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC

CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST

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

The LSST DESC DC2 Simulated Sky Survey

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs

The impact of line-of-sight structures on measuring H-0 with strong lensing time delays

Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

Impact of point spread function higher moments error on weak gravitational lensing – II. A comprehensive study

Galaxy blending effects in deep imaging cosmic shear probes of cosmology

DESC DC2 Data Release Note


Containerized radio interferometry scripting framework -- NB: Classic version is no longer in active development, use stimela 2! See README for details.

The MeerKAT Galaxy Cluster Legacy Survey I. Survey Overview and Highlights.

DeepSource: Point Source Detection using Deep Learning

Monthly notices of the Royal Astronomical Society

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

Collimated synchrotron threads linking the radio lobes of ESO 137-006

The flickering nuclear activity of Fornax A

Neutral hydrogen gas within and around NGC 1316

A MeerKAT view of pre-processing in the Fornax A group

Nature of the unusual transient AT 2018cow from HI observations of its host galaxy

HAL (Le Centre pour la Communication Scientifique Directe)

kern

Shakespeare and National Identity : A Dictionary

Towards the first detection of strongly lensed H I emission


:christmas_tree:Visualization and annotation of phylogenetic trees

HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

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

Phylogenomic analysis reveals persistence of gonococcal strains with reduced-susceptibility to extended-spectrum cephalosporins and mosaic penA-34

Genomic epidemiology of Human Adenovirus F40 and F41 in Coastal Kenya: A retrospective hospital-based surveillance study (2013-2022)

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus vaccine introduction, 2012 – 2018


Optimization of flexibility options and grid expansion for distribution grids based on PyPSA

Peak Shaving with Battery Energy Storage Systems in Distribution Grids: A Novel Approach to Reduce Local and Global Peak Loads

Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model

Distribution System Planning with Battery Storage using Multiperiod Optimal Power Flow

PROCEEDINGS OF THE 14TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE 2020 (IRES 2020)


Brain Imaging Analysis Kit

A Bayesian method for reducing bias in neural representational similarity analysis

Facilitating open-science with realistic fMRI simulation: validation and application

Matrix-normal models for fMRI analysis

Incorporating structured assumptions with probabilistic graphical models in fMRI data analysis

Interaction-Grounded Learning with Action-inclusive Feedback

Brain network reconfiguration for narrative and argumentative thought


Reduce the environmental footprint of your software programs with SonarQube


A framework for the evaluation of autoregressive code generation language models.

SantaCoder: don't reach for the stars!

OctoPack: Instruction Tuning Code Large Language Models

LeTI: Learning to Generate from Textual Interactions

WaveCoder: Widespread And Versatile Enhanced Instruction Tuning with
  Refined Data Generation

LLaMA Pro: Progressive LLaMA with Block Expansion

Astraios: Parameter-Efficient Instruction Tuning Code Large Language
  Models


ChampSim is an open-source trace based simulator maintained at Texas A&M University and through the support of the computer architecture community.

Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning

PROCEEDINGS OF 54TH ANNUAL IEEE/ACM INTERNATIONAL SYMPOSIUM ON MICROARCHITECTURE, MICRO 2021

Branch Prediction Is Not A Solved Problem: Measurements, Opportunities, and Future Directions

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)

Hermes: Accelerating Long-Latency Load Requests via Perceptron-Based Off-Chip Load Prediction

Fine-grained address segmentation for attention-based variable-degree prefetching

Proceedings of the 19th ACM International Conference on Computing Frontiers

An In-Memory Analog Computing Co-Processor for Energy-Efficient CNN Inference on Mobile Devices

Leaking Control Flow Information via the Hardware Prefetcher.

A Storage-Effective BTB Organization for Servers

Puppeteer: A Random Forest Based Manager for Hardware Prefetchers Across the Memory Hierarchy

TransforMAP: Transformer for Memory Access Prediction

Phases, Modalities, Temporal and Spatial Locality: Domain Specific ML
  Prefetcher for Accelerating Graph Analytics


The Herd toolsuite to deal with .cat memory models (version 7.xx)

Simplifying ARM concurrency: multicopy-atomic axiomatic and operational models for ARMv8

Symposium on Principles of Programming Languages

Bridging the gap between programming languages and hardware weak memory models

The semantics of transactions and weak memory in x86, Power, ARM, and C++

Pomsets with preconditions: a simple model of relaxed memory

Proceedings of the ACM on programming languages

Reconciling Event Structures with Modern Multiprocessors

Transactions in Relaxed Memory Architectures

Dartagnan: Bounded Model Checking for Weak Memory Models (Competition Contribution)

Tools and Algorithms for Construction and Analysis of Systems

Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models

Parallelized sequential composition, pipelines, and hardware weak memory models.


A living benchmark framework for symbolic regression

Where are we now? A large benchmark study of recent symbolic regression methods

Contemporary Symbolic Regression Methods and their Relative Performance

Transformer-based Planning for Symbolic Regression

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning

Interpretable Symbolic Regression for Data Science: Analysis of the 2022
  Competition


PyTorch Extension Library of Optimized Graph Cluster Algorithms

node2vec: Scalable Feature Learning for Networks

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs

Motif-Driven Contrastive Learning of Graph Representations


Protocol Buffers - Google's data interchange format

Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

A Survey on Data Compression Methods for Biological Sequences

Unikraft: Fast, Specialized Unikernels the Easy Way

PROCEEDINGS OF THE SIXTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS '21)

Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks

Scalable federated machine learning with FEDn

Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

Design Criteria to Architect Continuous Experimentation for Self-Driving Vehicles

International Conference on Software Architecture

Torch.fx: Practical Program Capture and Transformation for Deep Learning
  in Python

Following the Data, Not the Function: Rethinking Function Orchestration
  in Serverless Computing


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

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Deep Exploration via Bootstrapped DQN

DeepMind Control Suite

StarCraft II: A New Challenge for Reinforcement Learning


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

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

Monthly Notices of the Royal Astronomical Society

Astrophysics Milestones For Pulsar Timing Array Gravitational Wave Detection

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

中国科学. 物理学 力学 天文学

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

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

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

Fast Bayesian analysis of individual binaries in pulsar timing array data

Null energy condition violation during inflation and pulsar timing array observations


A platform for impacted communities to understand their local air quality and advocate for environmental justice.


Automatically exported from code.google.com/p/v-hacd

Domain Randomization and Generative Models for Robotic Grasping

Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions

AiAReSeg: Catheter Detection and Segmentation in Interventional
  Ultrasound using Transformers

Learning Multi-Step Manipulation Tasks from A Single Human Demonstration


Platform for storing and exploring sensor data


DBCSR: Distributed Block Compressed Sparse Row matrix library

The CECAM electronic structure library and the modular software development paradigm

Enabling particle applications for exascale computing platforms

The international journal of high performance computing applications

DBCSR: A Blocked Sparse Tensor Algebra Library

Modular implementation of the linear- and cubic-scaling orbital minimization methods in electronic structure codes using atomic orbitals

DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems


Wind Plant Integrated System Design and Engineering Model

Land-based wind turbines with flexible rail transportable blades – Part I: Conceptual design and aeroservoelastic performance

Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large Wind Turbines

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Land-based wind turbines with flexible rail transportable blades – Part II: 3D FEM design optimization of the rotor blades


Database Benchmarking Framework

Scheduling OLTP transactions via learned abort prediction

Architecture-Aware, High Performance Transaction for Persistent Memory

DB-BERT: A Database Tuning Tool that "Reads the Manual"

A Crash Recovery Scheme for a Hybrid Mapping FTL in NAND Flash Storage Devices

MV-PBT: Multi-Version Index for Large Datasets and HTAP Workloads

Serializable HTAP with Abort-/Wait-free Snapshot Read


Performance-portable library for particle-based simulations

Simulations of future particle accelerators: issues and mitigations

LLAMA: The low‐level abstraction for memory access

Kokkos-Based Implementation of MPCD on Heterogeneous Nodes


Tools for handling Unique Molecular Identifiers in NGS data sets

UMI-tools: modeling sequencing errors in Unique Molecular Identifiers to improve quantification accuracy

Non-invasive early detection of cancer four years before conventional diagnosis using a blood test

Systematic identification of factors mediating accelerated mRNA degradation in response to changes in environmental nitrogen

Functional inference of gene regulation using single-cell multi-omics

Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer

Targeted Informatics for Optimal Detection, Characterization, and Quantification of FLT3 Internal Tandem Duplications Across Multiple Next-Generation Sequencing Platforms

The Journal of molecular diagnostics/The journal of molecular diagnostics

Algorithms for efficiently collapsing reads with Unique Molecular Identifiers

Global approaches for profiling transcription initiation

Mouse and Human Single Pancreatic Β Cell Transcriptomics Reveal Sexual Dimorphism of Transcriptomes and Identify Sex-Dependent Type 2 Diabetes Altered Genes

Genomic stability of self-inactivating rabies


Copy number variant detection from targeted DNA sequencing

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

Exome sequencing of desmoplastic melanoma identifies recurrent NFKBIE promoter mutations and diverse activating mutations in the MAPK pathway

Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study

Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity

The contribution of hereditary cancer-related germline mutations to lung cancer susceptibility

Analysis pipelines for cancer genome sequencing in mice

CNVkit: Copy number detection and visualization for targeted sequencing using off-target reads

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

ctDNA Concentration, MIKI67 Mutations and Hyper-Progressive Disease Related Gene Mutations Are Prognostic Markers for Camrelizumab and Apatinib Combined Multiline Treatment in Advanced NSCLC


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

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

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


architecture-free neural network library for node.js and the browser

Moving Deep Learning into Web Browser: How Far Can We Go?

Front-end deep learning web apps development and deployment: a review

Applied intelligence (Dordrecht, Netherlands)


AirCasting API and web application


DPDK based packet generator

MoonGen: A Scriptable High-Speed Packet Generator

Concury: A Fast and Light-weighted Software Load Balancer.

Automatic Parallelization of Software Network Functions


Building Optimization Performance Tests


Scalable symbolic-numeric set computations in Julia

Algorithms for Verifying Deep Neural Networks

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

ARCH-COMP22 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

ARCH-COMP21 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

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

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

Combining set propagation with finite element methods for time integration in transient solid mechanics problems

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

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

ZoPE: A Fast Optimizer for ReLU Networks with Low-Dimensional Inputs


A collection of infrastructure and tools for research in neural network interpretability.

The Building Blocks of Interpretability

Feature Visualization

Adversarial Robustness as a Prior for Learned Representations

Multimodal datasets: misogyny, pornography, and malignant stereotypes.

Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations

Activation Atlas

Differentiable Image Parameterizations

Personalized explanation in machine learning: A conceptualization

Leveraging Sparse Linear Layers for Debuggable Deep Networks

An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents


Genome annotation with AUGUSTUS

BRAKER2: automatic eukaryotic genome annotation with GeneMark-EP+ and AUGUSTUS supported by a protein database

Genome evolution and diversity of wild and cultivated potatoes

Impacts of allopolyploidization and structural variation on intraspecific diversification in Brassica rapa

De novo phased assembly of the Vitis riparia grape genome

Hedgehog signaling controls segmentation dynamics and diversity via msx1 in a spider embryo

Genomic and Metabolomic Analyses of the Medicinal Fungus Inonotus hispidus for Its Metabolite’s Biosynthesis and Medicinal Application

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling

Improving the Annotation of the Venom Gland Transcriptome of Pamphobeteus verdolaga, Prospecting Novel Bioactive Peptides

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis


Construction and Comparison of High-Dimensional Sobol' Generators

Application of Quasi-Monte Carlo Methods to Elliptic PDEs with Random Diffusion Coefficients: A Survey of Analysis and Implementation

A general software tool for constructing rank-1 lattice rules

Guaranteed Conservative Fixed Width Confidence Intervals Via Monte Carlo
  Sampling

Quasi-Monte Carlo Software


a software library containing BLAS functions written in OpenCL

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

Type-Directed Program Synthesis and Constraint Generation for Accelerator Library Portability

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Newton–Raphson preconditioner for Krylov type solvers on GPU devices

A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications

Development of JavaScript-based deep learning platform and application to distributed training


LibCity: An Open Library for Urban Spatial-temporal Data Mining

LibCity: An Open Library for Traffic Prediction

Advances in Geographic Information Systems

LibCity: A Unified Library Towards Efficient and Comprehensive Urban
  Spatial-Temporal Prediction


Real-time power system simulator including powerflow, (dynamic) phasors and EMT


Domain name permutation engine for detecting homograph phishing attacks, typo squatting, and brand impersonation

Characterizing Cryptocurrency Exchange Scams

Ethereum Name Service: the Good, the Bad, and the Ugly

Large-Scale Analysis of Pop-Up Scam on Typosquatting URLs

Proceedings of the 14th International Conference on Availability, Reliability and Security

An Evasion Attack against ML-based Phishing URL Detectors.

Detecting Phishing Sites Using ChatGPT

PhishGAN: Data Augmentation and Identification of Homoglpyh Attacks

International Conference on Communications, Computing, Cybersecurity, and Informatics

An AI-based, Multi-stage detection system of banking botnets

Expert Systems With Applications

Peek-a-boo, I Can See You, Forger: Influences of Human Demographics, Brand Familiarity and Security Backgrounds on Homograph Recognition.


Sea ice dynamics in the Bransfield Strait, Antarctic Peninsula, during the past 240 years: a multi-proxy intercomparison study

Humic Acid Mitigates the Negative Effects of High Rates of Biochar Application on Microbial Activity

Physical Dormancy Release in Medicago truncatula Seeds Is Related to Environmental Variations

A genomics resource for genetics, physiology, and breeding of West African sorghum

Utilization of a Wheat50K SNP Microarray-Derived High-Density Genetic Map for QTL Mapping of Plant Height and Grain Traits in Wheat

Diverse and mobile: eccDNA-based identification of carrot low-copy-number LTR retrotransposons active in callus cultures.

The Plant journal : for cell and molecular biology

Selection and adaptive introgression guided the complex evolutionary history of the European common bean

Discovery of Genomic Regions and Candidate Genes Controlling Root Development Using a Recombinant Inbred Line Population in Rapeseed (Brassica napus L.)

International journal of molecular sciences

The Effects of Genetic Relatedness on the Preterm Infant Gut Microbiota

Reactive oxygen species are regulated by immune deficiency and Toll pathways in determining the host specificity of honeybee gut bacteria

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


JSON for Modern C++

NetKet: A machine learning toolkit for many-body quantum systems

The NIST REFPROP Database for Highly Accurate Properties of Industrially Important Fluids

Industrial & engineering chemistry research

Molassembler: Molecular graph construction, modification and conformer
  generation for inorganic and organic molecules

Journal of chemical information and modeling

STADS: Software Testing as Species Discovery

Deeply learning deep inelastic scattering kinematics

Incorporating Topological Representation in 3D City Models

ISPRS international journal of geo-information

Anonymous and Confidential File Sharing over Untrusted Clouds

Symposium on Reliable Distributed Systems

SAGE: a Monte Carlo simulation framework for experiments with germanium detectors

iMOKA: k-mer based software to analyze large collections of sequencing data

Large scale simulation of pressure induced phase-field fracture propagation using Utopia

IEEE International Conference on High Performance Computing, Data, and Analytics


NVIDIA Federated Learning Application Runtime Environment

NVIDIA FLARE: Federated Learning from Simulation to Real-World

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation

Scalable federated machine learning with FEDn

Adaptive Aggregation For Federated Learning

Just-in-Time Aggregation for Federated Learning

Federated Learning with Research Prototypes for Multi-Center MRI-based
  Detection of Prostate Cancer with Diverse Histopathology

Empowering Federated Learning for Massive Models with NVIDIA FLARE

ConDistFL: Conditional Distillation for Federated Learning from Partially Annotated Data


FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

Squeeze-and-Excitation Networks

Fast R-CNN

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

Non-local Neural Networks

Cascade R-CNN: High Quality Object Detection and Instance Segmentation

R-FCN: Object Detection via Region-based Fully Convolutional Networks

Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression


Methylation (Bisulfite-Sequencing) analysis pipeline using Bismark or bwa-meth + MethylDackel

Fast and accurate alignment of long bisulfite-seq reads

wg-blimp: an end-to-end analysis pipeline for whole genome bisulfite sequencing data

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

International Conference on Statistical and Scientific Database Management

GSNOR Contributes to Demethylation and Expression of Transposable Elements and Stress-Responsive Genes

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures


A 2D chart library for Java applications (JavaFX, Swing or server-side).

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE transactions on software engineering

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

ChatUniTest: a ChatGPT-based automated unit test generation tool

Using mutation testing to measure behavioural test diversity

International Conference on Software Testing, Verification and Validation Workshops

Predictive Monitoring against Pattern Regular Languages


Learning to Rank in TensorFlow

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

Learning-to-Rank with BERT in TF-Ranking

A Neural Pairwise Ranking Model for Readability Assessment

PiRank: Scalable Learning To Rank via Differentiable Sorting

Clones in deep learning code: what, where, and why?

ILMART: Interpretable Ranking with Constrained LambdaMART

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System

RD-Suite: A Benchmark for Ranking Distillation

Learning to Rank when Grades Matter


Scientific analysis of nanoscale materials imaging data

Recent advances and applications of deep learning methods in materials science

Deep learning in electron microscopy

Machine learning: science and technology

Feature extraction via similarity search: application to atom finding and denoising in electron and scanning probe microscopy imaging

Advanced structural and chemical imaging

USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data

A Processing and Analytics System for Microscopy Data Workflows: The Pycroscopy Ecosystem of Packages


CMS Offline Software

A portrait of the Higgs boson by the CMS experiment ten years after the discovery

Looking Inside Jets

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

Jet flavour classification using DeepJet

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

Accelerated Machine Learning as a Service for Particle Physics Computing

Zenodo (CERN European Organization for Nuclear Research)

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

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

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

Proceedings of the first MadAnalysis 5 workshop on LHC recasting in Korea


dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

A 204-subject multimodal neuroimaging dataset to study language processing

An Open MRI Dataset For Multiscale Neuroscience

Classification of parotid gland tumors by using multimodal MRI and deep learning

ASL-BIDS, the brain imaging data structure extension for arterial spin labeling

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer’s Disease

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children

Morning Plasma Melatonin Differences in Autism: Beyond the Impact of Pineal Gland Volume

SkullBreak / SkullFix – Dataset for automatic cranial implant design and a benchmark for volumetric shape learning tasks


A FRamework for Efficient Secure COmputation

Private Machine Learning in TensorFlow using Secure Computation

Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies

A management framework for secure multiparty computation in dynamic environments

Network Operations and Management Symposium

A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation

MPC-enabled Privacy-Preserving Neural Network Training against Malicious
  Attack

A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation

A New Approach to Privacy-Preserving Clinical Decision Support Systems

Foundations of Programmable Secure Computation


A scikit-learn-compatible module for estimating prediction intervals.

Distribution-Free, Risk-Controlling Prediction Sets

Conformal prediction interval for dynamic time-series

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

MAPIE: an open-source library for distribution-free uncertainty
  quantification

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions

Conformal Prediction in Multi-User Settings: An Evaluation


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

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

A Simple Framework for Contrastive Learning of Visual Representations

Learning Transferable Visual Models From Natural Language Supervision

Momentum Contrast for Unsupervised Visual Representation Learning

Emerging Properties in Self-Supervised Vision Transformers

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

Unsupervised Representation Learning by Predicting Image Rotations

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

BEiT: BERT Pre-Training of Image Transformers


Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

Reconstruction and Efficient Visualization of Heterogeneous 3D City Models

Automated 3D Reconstruction of LoD2 and LoD1 Models for All 10 Million Buildings of the Netherlands

Design and Implementation of a 4D Web Application for Analytical Visualization of Smart City Applications

Efficient Visualization of Large-Scale Oblique Photogrammetry Models in Unreal Engine

3D Tiles-Based High-Efficiency Visualization Method for Complex BIM Models on the Web

Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-Scale Pipe Network

Scalable processing of massive geodata in the cloud: generating a level-of-detail structure optimized for web visualization

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

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

COMPUTING ARBITRARILY LARGE MESHES WITH LEVEL-OF-DETAIL SUPPORT FOR CESIUM 3D TILES


Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Approximate Nearest Neighbor Search on High Dimensional Data — Experiments, Analyses, and Improvement

IEEE transactions on knowledge and data engineering

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data.

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Permutation Search Methods are Efficient, Yet Faster Search is Possible

Extreme Multi-label Learning for Semantic Matching in Product Search

High Dimensional Similarity Search with Satellite System Graph: Efficiency, Scalability, and Unindexed Query Compatibility

Approximate Nearest Neighbor Search on High Dimensional Data ---
  Experiments, Analyses, and Improvement (v1.0)


An ecosystem water balance simulation model


Open Catalyst Project's library of machine learning methods for catalysis

The Open Catalyst 2020 (OC20) Dataset and Community Challenges

Proceedings of the International Conference on Electrocatalysis for Energy Applications and Sustainable Chemicals

Spherical Message Passing for 3D Graph Networks

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysts

Rotation Invariant Graph Neural Networks using Spin Convolutions

GemNet-OC: Developing Graph Neural Networks for Large and Diverse
  Molecular Simulation Datasets

Spherical Channels for Modeling Atomic Interactions

Open Challenges in Developing Generalizable Large-Scale Machine-Learning Models for Catalyst Discovery

AdsorbML: a leap in efficiency for adsorption energy calculations using generalizable machine learning potentials


Apache Commons Codec

A comprehensive study of pseudo-tested methods

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

DSpot: Test Amplification for Automatic Assessment of Computational Diversity

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

Automatic Diversity in the Software Supply Chain


Minimal metadata schemas for science software and code, in JSON-LD

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

Citations for Software: Providing Identification, Access and Recognition for Research Software

An Analysis of Crosswalks from Research Data Schemas to Schema.org

Nine best practices for research software registries and repositories

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


Linux system call fuzzer

The Art, Science, and Engineering of Fuzzing: A Survey

Understanding TEE Containers, Easy to Use? Hard to Trust

Evaluating Code Coverage for Kernel Fuzzers via Function Call Graph


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

A Survey on Causal Inference

Double/Debiased Machine Learning for Treatment and Causal Parameters

Orthogonal Statistical Learning

Deep Generalized Method of Moments for Instrumental Variable Analysis

Orthogonal Random Forest for Causal Inference

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments

Causality Learning: A New Perspective for Interpretable Machine Learning

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

gCastle: A Python Toolbox for Causal Discovery

Instrumental variable regression via kernel maximum moment loss


PATO - the Phenotype And Trait Ontology

The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics

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

OHMI: the ontology of host-microbiome interactions

An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation

TCDO: A Community-Based Ontology for Integrative Representation and Analysis of Traditional Chinese Drugs and Their Properties

Evidence-based complementary and alternative medicine : eCAM

“Opposite-of”-information improves similarity calculations in phenotype ontologies


The official repo of Qwen (通义千问) chat & pretrained large language model proposed by Alibaba Cloud.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

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

Qwen Technical Report

WizardMath: Empowering Mathematical Reasoning for Large Language Models
  via Reinforced Evol-Instruct

YaRN: Efficient Context Window Extension of Large Language Models

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

Skywork: A More Open Bilingual Foundation Model

Qwen-Audio: Advancing Universal Audio Understanding via Unified
  Large-Scale Audio-Language Models

LauraGPT: Listen, Attend, Understand, and Regenerate Audio with GPT


ONNXMLTools enables conversion of models to ONNX

Extending Relational Query Processing with ML Inference

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

End-to-end Optimization of Machine Learning Prediction Queries

Proceedings of the 2022 International Conference on Management of Data


An open-source HEVC encoder

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

MMSYS'20: PROCEEDINGS OF THE 2020 MULTIMEDIA SYSTEMS CONFERENCE

Privacy Protection in Real Time HEVC Standard Using Chaotic System

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

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

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

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


The WCSim GEANT4 application

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

Progress of theoretical and experimental physics

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

Hyper-Kamiokande Design Report

Supernova Model Discrimination with Hyper-Kamiokande

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

Journal of cosmology and astroparticle physics

Updated physics performance of the ESSnuSB experiment

The European Spallation Source neutrino super-beam conceptual design report

The European physical journal. Special topics

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

Using Machine Learning to Improve Neutron Identification in Water
  Cherenkov Detectors

Simulating fast time variations in the supernova neutrino flux in Hyper-Kamiokande

XXVII INTERNATIONAL CONFERENCE ON NEUTRINO PHYSICS AND ASTROPHYSICS (NEUTRINO2016)


Specification of the Cypher property graph query language

G-CORE: A Core for Future Graph Query Languages

Graph Pattern Matching in GQL and SQL/PGQ

GPC: A Pattern Calculus for Property Graphs

Semantic Foundations of Seraph Continuous Graph Query Language


LevelDB key/value database in Go.

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

Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform

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

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

Optimizing Validation Phase of Hyperledger Fabric

Impact of network delays on Hyperledger Fabric

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

Understanding the Scalability of Hyperledger Fabric.

Learning about the reduction of food waste using Blockchain technology

Redacting Transactions from Execute-Order-Validate Blockchains

QiOi: Performance Isolation for Hyperledger Fabric


A Python wrapper for Google Tesseract

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

Deep learning-based NLP data pipeline for EHR-scanned document information extraction

MailTrout: A Machine Learning Browser Extension for Detecting Phishing Emails

Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Chandojnanam: A Sanskrit Meter Identification and Utilization System

Assisting News Media Editors with Cohesive Visual Storylines

Improving Visual-textual Sentiment Analysis by Fusing Expert Features

Sketch2FullStack: Generating Skeleton Code of Full Stack Website and
  Application from Sketch using Deep Learning and Computer Vision

Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos

Reddit financial image post sentiment dataset


Trusted side of the TEE

On The Performance of ARM TrustZone

Developing Secure Services for IoT with OP-TEE: A First Look at Performance and Usability

TZ4Fabric: Executing Smart Contracts with ARM TrustZone : (Practical Experience Report)

Symposium on Reliable Distributed Systems

Minimum viable device drivers for ARM trustzone

Where's Crypto?: Automated Identification and Classification of Proprietary Cryptographic Primitives in Binary Code

Faulty Point Unit: ABI Poisoning Attacks on Trusted Execution Environments

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


Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Large Language Models as Tool Makers

GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings

Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)

CacheGen: Fast Context Loading for Language Model Applications

Prompting Frameworks for Large Language Models: A Survey

SEED: Domain-Specific Data Curation With Large Language Models

Efficient Prompt Caching via Embedding Similarity

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models