Multiblob method for rigid bodies

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

Communications in Applied Mathematics and Computational Science

Brownian dynamics of confined rigid bodies

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

Large Scale Brownian Dynamics of Confined Suspensions of Rigid Particles

Brownian dynamics of confined suspensions of active microrollers

Driven dynamics in dense suspensions of microrollers

A fluctuating boundary integral method for Brownian suspensions

Brownian dynamics of fully confined suspensions of rigid particles without Green's functions.

Hydrodynamic fluctuations in quasi-two dimensional diffusion

Journal of Statistical Mechanics: Theory and Experiment

Computing hydrodynamic interactions in confined doubly periodic geometries in linear time


Microsoft Collective Communication Library

Synthesizing optimal collective algorithms

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches

GC3: An Optimizing Compiler for GPU Collective Communication

Efficient Direct-Connect Topologies for Collective Communications

TACOS: Topology-Aware Collective Algorithm Synthesizer for Distributed Training

Rethinking Machine Learning Collective Communication as a Multi-Commodity Flow Problem

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach


Simulation framework to model and control the tasks of vehicle fleets (routing, user-assignment, charging, ...)

Integrating parcel deliveries into a ride-pooling service—An agent-based simulation study

FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand Services

Simulating Ride-Pooling Services with Pre-Booking and On-Demand Customers

Predictive Vehicle Repositioning for On-Demand Ride-Pooling Services


Semantic Segmentation Architectures Implemented in PyTorch

AMP: Adaptive Masked Proxies for Few-Shot Segmentation

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Benchmarking the Robustness of Semantic Segmentation Models

On the Impact of Lossy Image and Video Compression on the Performance of Deep Convolutional Neural Network Architectures

Fast acoustic scattering using convolutional neural networks

Risk-Aware Planning and Assignment for Ground Vehicles using Uncertain Perception from Aerial Vehicles

Fully Hyperbolic Convolutional Neural Networks

Associative Embedding for Game-Agnostic Team Discrimination

Automated Damage Inspection of Power Transmission Towers from UAV Images

Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains


Calculate gross GHG emissions, gross carbon removals (sequestration), and net flux from forests globally


A PyTorch Toolbox for Face Recognition

Dive into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition

FaceX-Zoo: A PyTorch Toolbox for Face Recognition

Masked Face Recognition Challenge: The InsightFace Track Report

MFR 2021: Masked Face Recognition Competition

Dual Spoof Disentanglement Generation for Face Anti-spoofing with Depth Uncertainty Learning

Prepended Domain Transformer: Heterogeneous Face Recognition Without Bells and Whistles

A Facial Expression-Aware Multimodal Multi-task Learning Framework for Emotion Recognition in Multi-party Conversations

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

A Survey on Computer Vision based Human Analysis in the COVID-19 Era

Mitigating Gender Bias in Face Recognition Using the von Mises-Fisher Mixture Model

Balanced Masked and Standard Face Recognition


[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

ImageBind-LLM: Multi-modality Instruction Tuning

Composite Backdoor Attacks Against Large Language Models

Safety of Multimodal Large Language Models on Images and Text

HEMM: Holistic Evaluation of Multimodal Foundation Models

Debiasing Multimodal Large Language Models


Scientific Computational Imaging COde

Diffusion Posterior Sampling for General Noisy Inverse Problems

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Prompt-tuning latent diffusion models for inverse problems


A curated list of research, applications and projects built using the H2O Machine Learning platform

Use of a machine learning framework to predict substance use disorder treatment success

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men

Morphological traits of reef corals predict extinction risk but not conservation status

Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach

Inferring Passenger Type from Commuter Eigentravel Matrices

Disruptive Analytics

Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates

Environmental Science & Technology Letters

Algorithmic Trading Using Deep Neural Networks on High Frequency Data


EHT Analysis Toolkit

First M87 Event Horizon Telescope Results. III. Data Processing and Calibration

First Sagittarius A* Event Horizon Telescope Results. II. EHT and Multiwavelength Observations, Data Processing, and Calibration

Event Horizon Telescope observations of the jet launching and collimation in Centaurus A

EHT-HOPS Pipeline for Millimeter VLBI Data Reduction

Persistent Non-Gaussian Structure in the Image of Sagittarius A* at 86 GHz

Software and Techniques for VLBI Data Processing and Analysis


A large-scale benchmark and learning environment.

RLBench: The Robot Learning Benchmark & Learning Environment

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Rearrangement: A Challenge for Embodied AI

Reinforcement Learning with Action-Free Pre-Training from Videos

Instruction-driven history-aware policies for robotic manipulations

Instruction-Following Agents with Multimodal Transformer

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

A Universal Semantic-Geometric Representation for Robotic Manipulation


Pipeline to find aberrant events in RNA-Seq data, useful for diagnosis of rare disorders

Diagnostic potential of the amniotic fluid cells transcriptome in deciphering mendelian disease: a proof-of-concept

Gene expression and splicing counts from the Yepez, Gusic et al study - non-strand specific

Zenodo (CERN European Organization for Nuclear Research)

Gene expression and splicing counts from the Yepez, Gusic et al study - strand-specific


AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Conceptualized Representation Learning for Chinese Biomedical Text Mining

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Goal-Driven Explainable Clustering via Language Descriptions

GIANT: Scalable Creation of a Web-scale Ontology

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

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment


Transcript discovery and quantification with long RNA reads (Nanopores and PacBio)

Accurate isoform discovery with IsoQuant using long reads

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

bioRxiv : the preprint server for biology

Nano3P-seq: transcriptome-wide analysis of gene expression and tail dynamics using end-capture nanopore cDNA sequencing


Easy whole-brain modeling for computational neuroscientists

Biophysically grounded mean-field models of neural populations under electrical stimulation

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling

Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep

Neural Integral Equations


IRAF - Image Reduction and Analysis Facility

Periodic transit timing variations and refined system parameters of the exoplanet XO-6b

Monthly notices of the Royal Astronomical Society

The near-core rotation of HD 112429

Characterisation of Herschel-selected strong lens candidates through HST and sub-mm/mm observations

Automated SpectroPhotometric Image REDuction (ASPIRED) -- A Python-based spectral data reduction toolkit

Variability of eclipse timing:the case of V471 Tauri

HD 60431, the CP2 star with the shortest rotational period


Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

OdoViz: A 3D Odometry Visualization and Processing Tool


A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Explainable AI for Bioinformatics: Methods, Tools, and Applications


OMNeT++ V2X simulation framework for ETSI ITS-G5

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

Networked Roadside Perception Units for Autonomous Driving

Regain Control of Growing Dependencies in OMNeT++ Simulations

Observations on OMNeT++ Real-Time Behaviour


A tool for holistic analysis of language generations systems

Are Sixteen Heads Really Better than One?

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

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity

Towards Automatic Error Analysis of Machine Translation Output

International Conference on Computational Logic

compare-mt: A Tool for Holistic Comparison of Language Generation Systems

Neural Machine Translation: A Review of Methods, Resources, and Tools

Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs

Findings of the First Shared Task on Machine Translation Robustness

Dynamic Data Selection and Weighting for Iterative Back-Translation

Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation


A bare-bones Python library for quality diversity optimization.

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

Genetic and Evolutionary Computation Conference

Quality-Diversity Optimization: a novel branch of stochastic optimization

Differentiable Quality Diversity

Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning

Illuminating Diverse Neural Cellular Automata for Level Generation

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing


A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

FedLab: A Flexible Federated Learning Framework

Recent Advances on Federated Learning: A Systematic Survey

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP

Federated Model Decomposition with Private Vocabulary for Text Classification

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


An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

Ab-Initio Solution of the Many-Electron Schrödinger Equation with Deep Neural Networks

Discovering Quantum Phase Transitions with Fermionic Neural Networks

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Better, Faster Fermionic Neural Networks

Interatomic force from neural network based variational quantum Monte Carlo

Accurate computation of quantum excited states with neural networks

Neural Wave Functions for Superfluids

Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation

Neural network variational Monte Carlo for positronic chemistry

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions


Public repository of the Cosmic Linear Anisotropy Solving System (master for the most recent version of the standard code; GW_CLASS to include Cosmic Gravitational Wave Background anisotropies; classnet branch for acceleration with neutral networks; ExoCLASS branch for exotic energy injection; class_matter branch for FFTlog)

MontePython 3: Boosted MCMC sampler and other features

Teleparallel Gravity: From Theory to Cosmology

Core Cosmology Library: Precision Cosmological Predictions for LSST

The Astrophysical Journal Supplement Series

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Cosmological viable models in f(T,B) gravity as solutions to the H_0 tension

Exotic energy injection with ExoCLASS: application to the Higgs portal model and evaporating black holes

Journal of Cosmology and Astroparticle Physics

A deep learning approach to cosmological dark energy models

KiDS+GAMA: Constraints on Horndeski gravity from combined large-scale
  structure probes

Monthly Notices of the Royal Astronomical Society

Cosmological parameters derived from the final Planck data release (PR4)

Observational constraints on dark matter scattering with electrons


mor1kx - an OpenRISC 1000 processor IP core

HyPFuzz: Formal-Assisted Processor Fuzzing

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging

Asian Hardware-Oriented Security and Trust Symposium

Combining processing throughput, low latency and timing accuracy in experiment control


Ultralytics YOLO11

YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

DETRs Beat YOLOs on Real-time Object Detection

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Foundational Models Defining a New Era in Vision: A Survey and Outlook

Fracture detection in pediatric wrist trauma X-ray images using YOLOv8 algorithm

KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5

RFAConv: Innovating Spatial Attention and Standard Convolutional Operation

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms

ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation


A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.

A Tutorial on Bayesian Optimization

Bayesian Optimization with Gradients

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

The Parallel Knowledge Gradient Method for Batch Bayesian Optimization

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

Discretization-free Knowledge Gradient Methods for Bayesian Optimization

Batch Bayesian Optimization via Particle Gradient Flows


Core code shared by the initial ResearchKit apps.

The mPower study, Parkinson disease mobile data collected using ResearchKit

The asthma mobile health study, smartphone data collected using ResearchKit

Real-world longitudinal data collected from the SleepHealth mobile app study


Collection of algorithms for online portfolio selection

Online Portfolio Selection: A Survey

CORN: Correlation-driven nonparametric learning approach for portfolio selection

ACM Transactions on Intelligent Systems and Technology

Robust Median Reversion Strategy for Online Portfolio Selection

International Joint Conference on Artificial Intelligence

On-Line Portfolio Selection with Moving Average Reversion

Reweighted Price Relative Tracking System for Automatic Portfolio Optimization

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Efficient Weighting Schemes for Auditing Instant-Runoff Voting Elections


The Unusual Initial Mass Function of the Arches Cluster

Powerful winds in high-redshift obscured and red quasars

Characterizing and Improving the Data Reduction Pipeline for the Keck OSIRIS Integral Field Spectrograph

Multiphase Outflows in High-redshift Quasar Host Galaxies

The OSIRIS Lens-amplified Survey (OLAS). I. Dynamical Effects of Stellar Feedback in Low-mass Galaxies at z ∼ 2

Imaging Spectroscopy of Ionized Gaseous Nebulae around Optically Faint AGNs at Redshift z ∼ 2

A Slowly Precessing Disk in the Nucleus of M31 as the Feeding Mechanism for a Central Starburst

Multi-resolution angular momentum measurements of z~1.5-2 star-forming galaxies


The new intelligent grounder of the logic-based Artificial Intelligence system DLV

Optimizing Answer Set Computation via Heuristic-Based Decomposition

Theory and Practice of Logic Programming

Incremental maintenance of overgrounded logic programs with tailored simplifications

Efficiently Coupling the I-DLV Grounder with ASP Solvers

Enhancing Magic Sets with an Application to Ontological Reasoning

DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries


a program to evaluate dimensionally regulated parameter integrals numerically

A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec

Expansion by regions with pySecDec

Numerical scattering amplitudes with pySecDec

Numerical evaluation of two-loop integrals with pySecDec


Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Citizen Participation and Machine Learning for a Better Democracy

Digital Government Research and Practice

NLP-Cube: End-to-End Raw Text Processing With Neural Networks

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Introducing RONEC -- the Romanian Named Entity Corpus

Collection and Annotation of the Romanian Legal Corpus

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

Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task

Workshop on Balto-Slavic Natural Language Processing


Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

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

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

Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs

A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications

bioRxiv : the preprint server for biology

FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data

L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training


Wiktionary dump file parser and multilingual data extractor

Continuous Learning in Neural Machine Translation using Bilingual Dictionaries

Wiktextract: Wiktionary as Machine-Readable Structured Data

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation

KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation

Taboo and Collaborative Knowledge Production: Evidence from Wikipedia

Proceedings of the ACM on Human-Computer Interaction


Python library containing wind analysis functions


A unified pseudo-Cl framework

A unified pseudo-Cℓ framework

Monthly notices of the Royal Astronomical Society

unWISE tomography of Planck CMB lensing

Probing cosmic inflation with theLiteBIRDcosmic microwave background polarization survey

Progress of Theoretical and Experimental Physics

Cosmic Birefringence from the Planck Data Release 4.

Cosmological constraints from unWISE and Planck CMB lensing tomography

Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Dark Energy Survey Year 3 results: A 2.7% measurement of baryon acoustic oscillation distance scale at redshift 0.835

CCAT-prime Collaboration: Science Goals and Forecasts with Prime-Cam on the Fred Young Submillimeter Telescope

Tomographic galaxy clustering with the Subaru Hyper Suprime-Cam first year public data release

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Erratum: Tomographic measurement of the intergalactic gas pressure through galaxy-tSZ cross-correlations


The Intermediate Complexity Atmospheric Research model (ICAR)


A community-contributed tool box for managing, analyzing, and visualizing WRF Hydro (and NWM) input and output files in R.


GROBID extension for identifying and normalizing physical quantities.

Automatic Identification and Normalisation of Physical Measurements in Scientific Literature

AutoMATES: Automated Model Assembly from Text, Equations, and Software

Mining experimental data from Materials Science literature with Large Language Models

Extracting Material Property Measurement Data from Scientific Articles

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing


Free to use online tool for labelling photos. https://makesense.ai

SSD: Single Shot MultiBox Detector

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments

Object Detection in Indian Food Platters using Transfer Learning with YOLOv4

Human-in-the-Loop Segmentation of Earth Surface Imagery

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SHINE: Deep Learning-Based Accessible Parking Management System

Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification

Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures


CCS: Generate Highly Accurate Single-Molecule Consensus Reads (HiFi Reads)

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system

Genome evolution and diversity of wild and cultivated potatoes

Single-Cell Virus Sequencing of Influenza Infections That Trigger Innate Immunity

A complete telomere-to-telomere assembly of the maize genome

Standardized multi-omics of Earth's microbiomes reveals microbial and metabolite diversity

Mitochondrial DNA variation across 56,434 individuals in gnomAD

SMOOTH-seq: single-cell genome sequencing of human cells on a third-generation sequencing platform

Genomes of the dinoflagellate Polarella glacialis encode tandemly repeated single-exon genes with adaptive functions


Measures and metrics for image2image tasks. PyTorch.

Raising the Cost of Malicious AI-Powered Image Editing

Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networks

Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Not Just Streaks: Towards Ground Truth for Single Image Deraining

PyTorch Image Quality: Metrics for Image Quality Assessment

Image Quality Assessment for Magnetic Resonance Imaging

ARCADE: Adversarially Regularized Convolutional Autoencoder for Network Anomaly Detection

Robust Vision-Based Cheat Detection in Competitive Gaming

Proceedings of the ACM on Computer Graphics and Interactive Techniques

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?


Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

Shared-Memory n-level Hypergraph Partitioning

Parallel Flow-Based Hypergraph Partitioning

Scalable High-Quality Hypergraph Partitioning

Parallel Unconstrained Local Search for Partitioning Irregular Graphs


COVID-Net Open Source Initiative

COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

Contrastive Learning of Medical Visual Representations from Paired Images and Text

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

Towards an Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

Unveiling COVID-19 from Chest X-ray with deeplearning: a hurdles race with small data

Zenodo (CERN European Organization for Nuclear Research)

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

A review of deep learning-based detection methods for COVID-19


Neural style in TensorFlow!

A Neural Algorithm of Artistic Style

The Contextual Loss for Image Transformation with Non-Aligned Data

Laplacian-Steered Neural Style Transfer

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Bringing Impressionism to Life with Neural Style Transfer in Come Swim

DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies

Towards a Change Taxonomy for Machine Learning Systems


A fast, portable, and easy to use Oblivious Transfer Library

Gazelle: A Low Latency Framework for Secure Neural Network Inference

PSI from PaXoS: Fast, Malicious Private Set Intersection

Theory and Application of Cryptographic Techniques

Optimizing Secure Decision Tree Inference Outsourcing

Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation

Making Privacy-preserving Federated Graph Analytics with Strong
  Guarantees Practical (for Certain Queries)

Cross-client Label Propagation for Transductive and Semi-Supervised Federated Learning

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns


tinycrypt is a library of cryptographic algorithms with a focus on small, simple implementation.

A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

Quantum-Resistant Security for Software Updates on Low-power Networked Embedded Devices

Usable Security for an IoT OS: Integrating the Zoo of Embedded Crypto Components Below a Common API


The next version of bwa-mem

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems

SARS-CoV-2 Omicron spike mediated immune escape and tropism shift

Technology dictates algorithms: Recent developments in read alignment

Culture and identification of a “Deltamicron” SARS‐CoV‐2 in a three cases cluster in southern France

First cases of infection with the 21L/BA.2 Omicron variant in Marseille, France

Accelerated Seeding for Genome Sequence Alignment with Enumerated Radix Trees

International Symposium on Computer Architecture

Sequential Appearance and Isolation of a SARS-CoV-2 Recombinant between Two Major SARS-CoV-2 Variants in a Chronically Infected Immunocompromised Patient

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

The discovery of a key prenyltransferase gene assisted by a chromosome-level Epimedium pubescens genome

First Detection of the SARS-CoV-2 Omicron BA.5/22B in Monaco


A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Parameter-efficient fine-tuning of large-scale pre-trained language models

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

BBTv2: Towards a Gradient-Free Future with Large Language Models

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods

A Contrastive Cross-Channel Data Augmentation Framework for Aspect-based Sentiment Analysis

COPEN: Probing Conceptual Knowledge in Pre-trained Language Models

Late Prompt Tuning: A Late Prompt Could Be Better Than Many Prompts

Improving Prompt Tuning with Learned Prompting Layers

OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models


dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies

Journal of medical imaging (Bellingham, Wash.)

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow


Real-time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone

RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones

Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations


PyTorch implementations of neural network models for keyword spotting

Deep Residual Learning for Small-Footprint Keyword Spotting

An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting

Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting

PQK: Model Compression via Pruning, Quantization, and Knowledge Distillation

Prototypical Metric Transfer Learning for Continuous Speech Keyword Spotting With Limited Training Data

Fighting Voice Spam with a Virtual Assistant Prototype

JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis


A code to generate atomic structure with symmetry

PyXtal: A Python library for crystal structure generation and symmetry analysis

Assessing the feasibility of near-ambient conditions superconductivity in the Lu-N-H system

Spectral neural network potentials for binary alloys

Structure prediction of two-dimensional materials based on neural network-driven evolutionary technique

Quantification of Crystal Packing Similarity from Spherical Harmonic Transform

From electrons to phase diagrams with classical and machine learning
  potentials: automated workflows for materials science with pyiron


The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. II. UV, Optical, and Near-infrared Light Curves and Comparison to Kilonova Models

The Magnetar Model for Type I Superluminous Supernovae. I. Bayesian Analysis of the Full Multicolor Light-curve Sample with MOSFiT

A kilonova following a long-duration gamma-ray burst at 350 Mpc

MOSFiT: Modular Open Source Fitter for Transients

The Astrophysical Journal Supplement Series

Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)

Publications of the Astronomical Society of the Pacific

Theoretical Models of Optical Transients. I. A Broad Exploration of the Duration–Luminosity Phase Space

Tight multimessenger constraints on the neutron star equation of state from GW170817 and a forward model for kilonova light-curve synthesis

A Deep CFHT Optical Search for a Counterpart to the Possible Neutron Star–Black Hole Merger GW190814

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

Monthly Notices of the Royal Astronomical Society

A multi-messenger model for neutron star - black hole mergers


Gene Set Enrichment Analysis in Python

GSEApy: a comprehensive package for performing gene set enrichment analysis in Python

GSEA-InContext: identifying novel and common patterns in expression experiments

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution

Induction of APOBEC3-mediated genomic damage in urothelium implicates BK polyomavirus (BKPyV) as a hit-and-run driver for bladder cancer

Distinct elongation stalls during translation are linked with distinct pathways for mRNA degradation

T cells modulate the microglial response to brain ischemia

A network-based approach reveals the dysregulated transcriptional regulation in non-alcoholic fatty liver disease

Multi-omics insights into host-viral response and pathogenesis in Crimean-Congo Hemorrhagic Fever Viruses for novel therapeutic target

DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling


A numerical solver package for a wide range of quantum lattice models based on many-variable Variational Monte Carlo method

Restricted Boltzmann machine learning for solving strongly correlated quantum systems

mVMC—Open-source software for many-variable variational Monte Carlo method

Competition among Superconducting, Antiferromagnetic, and Charge Orders with Intervention by Phase Separation in the 2D Holstein-Hubbard Model.

Correlation-induced superconductivity dynamically stabilized and enhanced by laser irradiation

Excitons and Dark Fermions as Origins of Mott Gap, Pseudogap and Superconductivity in Cuprate Superconductors — General Concept and Basic Formalism Based on Gap Physics

Journal of the Physical Society of Japan

Spin nematics in frustrated spin-dimer systems with bilayer structure

Update of HΦ: Newly added functions and methods in versions 2 and 3

Optimized implementation for calculation and fast-update of Pfaffians installed to the open-source fermionic variational solver mVMC

Ground state of the S=1/2 pyrochlore Heisenberg antiferromagnet: A quantum spin liquid emergent from dimensional reduction

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations


A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Pretrained Transformers for Text Ranking: BERT and Beyond

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder

GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval

Pre-training Methods in Information Retrieval

MedCPT: Contrastive Pre-trained Transformers with Large-scale PubMed Search Logs for Zero-shot Biomedical Information Retrieval

COCO-DR: Combating Distribution Shifts in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning

LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero-Shot Text Retrieval

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA
  of LLMs


BirdNET analyzer for scientific audio data processing.

BirdNET: A deep learning solution for avian diversity monitoring

Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Hearing to the Unseen: AudioMoth and BirdNET as a Cheap and Easy Method for Monitoring Cryptic Bird Species

Large-scale avian vocalization detection delivers reliable global biodiversity insights

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

Correlation Clustering of Bird Sounds

Automated detection of gibbon calls from passive acoustic monitoring
  data using convolutional neural networks in the "torch for R" ecosystem

Evaluation of an autonomous acoustic surveying technique for grassland bird communities in Nebraska


Types, type checking, and contracts for Ruby

Just-in-Time Static Type Checking for Dynamic Languages

Refinement Types for Ruby

SimTyper: sound type inference for Ruby using type equality prediction

Proceedings of the ACM on Programming Languages

Type-Level Computations for Ruby Libraries

RbSyn: Type- and Effect-Guided Program Synthesis

Absynthe: Abstract Interpretation-Guided Synthesis


HTSeq is a Python library to facilitate processing and analysis of data from  high-throughput sequencing (HTS) experiments.

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response

A single-cell time-lapse of mouse prenatal development from gastrula to birth

Genome-Scale CRISPR Knockout Screening Identifies BACH1 as a Key Regulator of Aflatoxin B1-Induced Oxidative Damage

Characteristics and Correlations of the Oral and Gut Fungal Microbiome with Hypertension

Transcriptome-Guided Identification of Drugs for Repurposing to Treat Age-Related Hearing Loss

Deciphering the dynamic niches and regeneration-associated transcriptional program of motoneurons following peripheral nerve injury

Single cell qtSEQ: Cell-indexed quantitative and targeted RNA sequencing for sorted rare lymphocyte subpopulations

Sustained Stimulation of beta(2)AR Inhibits Insulin Signaling in H9C2 Cardiomyoblast Cells Through the PKA-Dependent Signaling Pathway

Diabetes, metabolic syndrome and obesity : targets and therapy

Transcriptomic signatures associated with autoimmune thyroiditis in papillary thyroid carcinoma and cancer immunotherapy-induced thyroid dysfunction

Computational and structural biotechnology journal


Parallel t-SNE implementation with Python and Torch wrappers.

Nuclei multiplexing with barcoded antibodies for single-nucleus genomics

Hyper-Spectral Imaging Technique in the Cultural Heritage Field: New Possible Scenarios

Machine-learning-based Brokers for Real-time Classification of the LSST Alert Stream

UMAP-assisted K-means clustering of large-scale SARS-CoV-2 mutation datasets

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

ChemPlot, a Python library for chemical space visualization

Identifying safe intersection design through unsupervised feature extraction from satellite imagery

Computer-Aided Civil and Infrastructure Engineering

Equivariance and Invariance Inductive Bias for Learning from Insufficient Data

Multi-type Disentanglement without Adversarial Training

Auto-Encoding Variational Bayes for Inferring Topics and Visualization


Deep Learning toolkit for Computer Vision.

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

SSD: Single Shot MultiBox Detector

Mask R-CNN

Focal Loss for Dense Object Detection

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression

A Neural Networks Approach to Detecting Lost Heritage in Historical Video

ISPRS International Journal of Geo-Information


PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Safe Exploration in Continuous Action Spaces

Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving

Historical and Current Landscapes of Autonomous Quadrotor Control: An Early-Career Researchers’ Guide

A Remote Sim2real Aerial Competition: Fostering Reproducibility and Solutions' Diversity in Robotics Challenges


Library of basic circuits for circom

SoK: What don't we know? Understanding Security Vulnerabilities in
  SNARKs

SANS: Self-sovereign Authentication for Network Slices

Bringing data minimization to digital wallets at scale with general-purpose zero-knowledge proofs

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

A Survey on the Applications of Zero-Knowledge Proofs

zkTax: A pragmatic way to support zero-knowledge tax disclosures

Benchmarking ZK-Friendly Hash Functions and SNARK Proving Systems for
  EVM-compatible Blockchains


Boavizta.org Data repository


Simple wrapper of tabula-java: extract table from PDF into pandas DataFrame

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

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

Where Opioid Overdose Patients Live Far From Treatment: Geospatial Analysis of Underserved Populations in New York State

LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework

Proceedings of the Second Workshop on Information Extraction from Scientific Publications


R package for oceanographic processing

oce: an R package for Oceanographic Analysis


Large scale graph learning on a single machine.

Marius: Learning Massive Graph Embeddings on a Single Machine

SMORE: Knowledge Graph Completion and Multi-hop Reasoning in Massive Knowledge Graphs

MariusGNN: Resource-Efficient Out-of-Core Training of Graph Neural Networks


Computes the AST difference (aka edit script) between two Spoon Java source code abstract syntax trees

Fine-grained and accurate source code differencing

International Conference on Automated Software Engineering

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

Towards an automated approach for bug fix pattern detection

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Spork: Structured Merge for Java With Formatting Preservation

IEEE Transactions on Software Engineering


A JuMP-based Nonlinear Integer Program Solver

Juniper: An Open-Source Nonlinear Branch-and-Bound Solver in Julia

Outer approximation with conic certificates for mixed-integer convex problems

Hydroelectric Operation Optimization and Unexpected Spillage Indications


A toolkit for robot learning research.

RLBench: The Robot Learning Benchmark & Learning Environment

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Task-Embedded Control Networks for Few-Shot Imitation Learning

PyRep: Bringing V-REP to Deep Robot Learning

Instruction-Following Agents with Multimodal Transformer


Open source code for AlphaFold.

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

Improved prediction of protein-protein interactions using AlphaFold2

Before and after AlphaFold2: An overview of protein structure prediction

Artificial intelligence for drug discovery: Resources, methods, and applications

How good are AlphaFold models for docking-based virtual screening?

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

Protein structure prediction with in-cell photo-crosslinking mass spectrometry and deep learning

AFsample: improving multimer prediction with AlphaFold using massive sampling

Unraveling the functional dark matter through global metagenomics


MIRACL Core

A
                  2
                  RID—Anonymous Direct Authentication and Remote Identification of Commercial Drones

Hierarchical Blockchain-Based Group and Group Key Management Scheme Exploiting Unmanned Aerial Vehicles for Urban Computing

Security Review of Ethereum Beacon Clients

An Implementation Suite for a Hybrid Public Key Infrastructure


Everything there is to know about Flashbots

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Empirical Analysis of EIP-1559

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

Maximizing Extractable Value from Automated Market Makers

SoK: Oracles from the Ground Truth to Market Manipulation

Proceedings of the 3rd ACM Conference on Advances in Financial Technologies

Extracting Godl [sic] from the Salt Mines: Ethereum Miners Extracting Value

Bodyless Block Propagation: TPS Fully Scalable Blockchain with Pre-Validation

Achieving State Machine Replication without Honest Players

Commitment Against Front Running Attacks

HCB: Enabling Compact Block in Ethereum Network With Secondary Pool and Transaction Prediction

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


Patator is a multi-purpose brute-forcer, with a modular design and a flexible usage.

Flow-Based Web Application Brute-Force Attack and Compromise Detection

Journal of Network and Systems Management

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

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

netFound: Foundation Model for Network Security


zk-SNARK library.

ZETH: On Integrating Zerocash on Ethereum

TEEvil: Identity Lease via Trusted Execution Environments

Formal Verification of Zero-Knowledge Circuits

International Workshop on the ACL2 Theorem Prover and Its Applications

Hardware acceleration of number theoretic transform for zk‐SNARK

Extending Expressive Access Policies with Privacy Features

ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices

Proceedings on Privacy Enhancing Technologies


Pipeline of tools to process raw fastq data and produce meaningful genomic data

Single-cell derived tumor organoids display diversity in HLA class I peptide presentation

Precancerous liver diseases do not cause increased mutagenesis in liver stem cells

Zenodo (CERN European Organization for Nuclear Research)

Rapid identification of genomic structural variations with nanopore sequencing enables blood-based cancer monitoring


Python routines for calculations and data on the Intergalactic Medium

The COS-Halos Survey: Metallicities in the Low-Redshift Circumgalactic Medium

Deep learning of quasar spectra to discover and characterize damped Lyα systems

Monthly Notices of the Royal Astronomical Society

The COS CGM Compendium. II: Metallicities of the Partial and Lyman Limit
  Systems at z<1

MUSE Analysis of Gas around Galaxies (MAGG) - I: Survey design and the environment of a near pristine gas cloud at z approximate to 3.5

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen

LYACOLORE: synthetic datasets for current and future Lyman-alpha forest BAO surveys

Journal of Cosmology and Astroparticle Physics

MUSE Analysis of Gas around Galaxies (MAGG) – IV: The gaseous environment of z∼ 3-4 Lyman-alpha emitting galaxies

The COS Absorption Survey of Baryon Harbors: The Galaxy Database and Cross-correlation Analysis of O vi Systems∗

The Astrophysical Journal Supplement Series

The Spectral and Environment Properties of z ∼ 2.0–2.5 Quasar Pairs

The astrophysical consequences of intervening galaxy gas on fast radio bursts


scikit-fmm is a Python extension module which implements the fast marching method.

Renderable Neural Radiance Map for Visual Navigation

Physical interactions reduce the power of natural selection in growing yeast colonies

StorSeismic: A New Paradigm in Deep Learning for Seismic Processing

BREAK: Bronchi Reconstruction by gEodesic transformation And sKeleton embedding

A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area

Workspace Aware Online Grasp Planning

Image patch analysis of sunspots and active regions. I. Intrinsic dimension and correlation analysis

MORPHOLOGICAL MODELING OF COLD SPRAY COATINGS

Transfer learning for self-supervised, blind-spot seismic denoising

Physics-Informed Graph Neural Network for Spatial-temporal Production Forecasting


Felix: Bloch wave method diffraction pattern simulation software

Deep learning in electron microscopy

Machine Learning: Science and Technology

Structure refinement from 'digital' large angle convergent beam electron diffraction patterns.

Modelling fine-sliced three dimensional electron diffraction data with dynamical Bloch-wave simulations

A new electron diffraction approach for structure refinement applied to Ca3Mn2O7

Acta crystallographica. Section A, Foundations and advances

Advances in Electron Microscopy with Deep Learning


Phylogenetic ANalyses of DiversificAtion

Estimating the effect of competition on trait evolution using maximum likelihood inference

Estimating Diversity Through Time using Molecular Phylogenies: Old and Species-Poor Frog Families are the Remnants of a Diverse Past

Limited ecological opportunity influences the tempo of morphological evolution in birds


Astronomical data platform for the Zwicky Transient Facility.

The Tidal Disruption Event AT2021ehb: Evidence of Relativistic Disk Reflection, and Rapid Evolution of the Disk–Corona System

A Data Science Platform to Enable Time-domain Astronomy

New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep

Publications of the Astronomical Society of the Pacific

SNIascore: Deep-learning Classification of Low-resolution Supernova Spectra

Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning

In Search of Short Gamma-Ray Burst Optical Counterparts with the Zwicky Transient Facility

The Zwicky Transient Facility Bright Transient Survey. III.
  : Automated Identification and Follow-up of Bright
  Transients with Deep Learning

Autonomous Real-Time Science-Driven Follow-up of Survey Transients


Accelerated demonstrator of electromagnetic Particle Transport

Detector and Beamline Simulation for Next-Generation High Energy Physics Experiments

The Future of High Energy Physics Software and Computing

Offloading electromagnetic shower transport to GPUs

Challenges and opportunities integrating LLAMA into AdePT


A BIDS App for minimal preprocessing using the HCP Pipelines

Dimensional connectomics of anxious misery, a human connectome study related to human disease: Overview of protocol and data quality

Beyond MRI: on the scientific value of combining non-human primate neuroimaging with metadata

The Role of Family-Level Factors in Childhood Anxiety During the COVID-19 Pandemic

Hippocampal Involvement in Safety Signal Learning Varies With Anxiety Among Healthy Adults

Biological psychiatry global open science


Efficient teacher-student models and scripts to make them

Exploring diversity in back translation for low-resource machine translation

Pruning Neural Machine Translation for Speed Using Group Lasso

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice

Sampling and Filtering of Neural Machine Translation Distillation Data

TranslateLocally: Blazing-fast translation running on the local CPU

Leveraging Neural Machine Translation for Word Alignment

The Prague Bulletin of Mathematical Linguistics

The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared Task (MixMT)


JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/watch?v=2-XHeC8gbeY

Recent advances and applications of deep learning methods in materials science

Atomistic Line Graph Neural Network for improved materials property predictions

The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design

Machine learning with force-field inspired descriptors for materials: fast screening and mapping energy landscape.

Accelerated Discovery of Efficient Solar Cell Materials Using Quantum and Machine-Learning Methods

Chemistry of materials : a publication of the American Chemical Society

Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations

Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms

High-throughput density functional perturbation theory and machine learning predictions of infrared, piezoelectric, and dielectric responses

Computational search for magnetic and non-magnetic 2D topological materials using unified spin–orbit spillage screening

Data-driven discovery of 3D and 2D thermoelectric materials

Journal of physics. Condensed matter : an Institute of Physics journal


My experimental tools on top of htslib. NOT OFFICIAL!!!

A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana

Grey wolf genomic history reveals a dual ancestry of dogs

Genome-scale sequencing and analysis of human, wolf, and bison DNA from 25,000-year-old sediment

A single introduction of wild rabbits triggered the biological invasion of Australia

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

Adventitious Virus Detection in Cells by High-Throughput Sequencing of Newly Synthesized RNAs: Unambiguous Differentiation of Cell Infection from Carryover of Viral Nucleic Acids

Archives of human-dog relationships: Genetic and stable isotope analysis of Arctic fur clothing

Limited historical admixture between European wildcats and domestic cats

Yersinia pestis genomes reveal plague in Britain 4,000 years ago


Web API to easily access satellite-based emission data


py4dgeo - A Python library for change analysis in 4D point clouds


A library of mechanised undecidability proofs in the Coq proof assistant.

Hilbert's Tenth Problem in Coq (Extended Version)

Trakhtenbrot's Theorem in Coq, A Constructive Approach to Finite Model Theory

Towards a Coq formalization of a quantified modal logic

Trakhtenbrot's Theorem in Coq: Finite Model Theory through the Constructive Lens

Oracle Computability and Turing Reducibility in the Calculus of Inductive Constructions


TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

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

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

Efficient Large Language Models: A Survey

OpenVLA: An Open-Source Vision-Language-Action Model

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

A Survey of Resource-efficient LLM and Multimodal Foundation Models

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

Understanding LLMs: A Comprehensive Overview from Training to Inference

FlashDecoding++: Faster Large Language Model Inference on GPUs

SGLang: Efficient Execution of Structured Language Model Programs


Tool to look for several security related Android application vulnerabilities

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

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

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

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

Vulnerabilities in IoT Devices for Smart Home Environment

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)

Study on the Vulnerabilities of Free and Paid Mobile Apps Associated with Software Library

IEICE Transactions on Information and Systems

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules

A Study on the Vulnerabilities of Mobile Apps associated with Software Modules

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Descartes supports developers to improve their test suites by reporting weak spots in covered code

A comprehensive study of pseudo-tested methods

Production Monitoring to Improve Test Suites

Descartes: A PITest Engine to Detect Pseudo-Tested Methods Tool Demonstration

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

Extreme mutation testing in practice: An industrial case study

International Conference/Workshop on Automation of Software Test


A concise but complete full-attention transformer with a set of promising experimental features from various papers

Highly accurate protein structure prediction with AlphaFold

High-Resolution Image Synthesis with Latent Diffusion Models

Transformers without Tears: Improving the Normalization of Self-Attention

LRM: Large Reconstruction Model for Single Image to 3D

Augmenting Self-attention with Persistent Memory

Talking-Heads Attention

Memory Transformer

MedGPT: Medical Concept Prediction from Clinical Narratives

Exposing Attention Glitches with Flip-Flop Language Modeling

Vector Quantized Time Series Generation with a Bidirectional Prior Model


tmux source code

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview and Lessons Learned

robo-gym -- An Open Source Toolkit for Distributed Deep Reinforcement Learning on Real and Simulated Robots

UAV4PE: An Open-Source Framework to Plan UAV Autonomous Missions for Planetary Exploration

FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing

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

Finding Software Vulnerabilities in Open-Source C Projects via Bounded Model Checking

An anthropological account of the Vim text editor: features and tweaks after 10 years of usage


Python implementation of behaviour trees.

A Survey of Behavior Trees in Robotics and AI

Combining Planning and Learning of Behavior Trees for Robotic Assembly

Replication package for article: Behavior Trees in Action: A Study of Robotics Applications

Distributed Behavior Trees for Heterogeneous Robot Teams

BeBOP - Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks

Flexible Behavior Trees: In search of the mythical HFSMBTH for Collaborative Autonomy in Robotics

Efficiently Evolving Swarm Behaviors Using Grammatical Evolution With PPA-style Behavior Trees

Verifying Safety of Behaviour Trees in Event-B


C++ library for solving large sparse linear systems with algebraic multigrid method

AMGCL: An Efficient, Flexible, and Extensible Algebraic Multigrid Implementation

Small Sample Learning of Superpixel Classifiers for EM Segmentation

Accelerating linear solvers for Stokes problems with C++ metaprogramming

On Solving Groundwater Flow and Transport Models with Algebraic Multigrid Preconditioning

Subdomain Deflation Combined with Local AMG: A Case Study Using AMGCL Library

SOFTWARE FOR THE THERMAL FIELD CALCULATION IN 3D MODELS OF SEMICONDUCTOR DEVICES

Electronic engineering Series 2 Semiconductor devices

Accelerating linear solvers for large-scale Stokes problems with C++ metaprogramming.

Efficient Solution of 3D Elasticity Problems with Smoothed Aggregation Algebraic Multigrid and Block Arithmetics

Rheological aspects of underground fluid dynamics and mass exchange processes

Epitoanyag-Journal of Silicate Based and Composite Materials


Audio Normalization for Python/ffmpeg

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Learning Speech-driven 3D Conversational Gestures from Video

Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

1000 African Voices: Advancing inclusive multi-speaker multi-accent speech synthesis


[MOVED] Moved to paoloshasta/shasta. De novo assembly from Oxford Nanopore reads

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Human Genome Assembly in 100 Minutes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies


Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)


Regional tropical cyclone impact functions for globally consistent risk assessments

Natural hazards and earth system sciences

Asset exposure data for global physical risk assessment

CLIMADA v1.4.1: towards a globally consistent adaptation options appraisal tool

Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland

Large-scale risk assessment on snow avalanche hazard in alpine regions

Global protection from tropical cyclones by coastal ecosystems—past, present, and under climate change

Bayesian modeling of insurance claims for hail damage


Nextstrain build for mpox virus

Mpox diagnostics: Review of current and emerging technologies

Viral genetic clustering and transmission dynamics of the 2022 mpox outbreak in Portugal

ORF-Interrupting Mutations in Monkeypox Virus Genomes from Washington and Ohio, 2022

Underdetected dispersal and extensive local transmission drove the 2022 mpox epidemic

medRxiv : the preprint server for health sciences

Mpox Virus: Its Molecular Evolution and Potential Impact on Viral Epidemiology

Intra‐ and interhost genomic diversity of monkeypox virus

Circulation, viral diversity and genomic rearrangement in mpox virus in the Netherlands during the 2022 outbreak and beyond

Continued circulation of mpox: an epidemiological and phylogenetic assessment, European Region, 2023 to 2024


Coupled snowpack and ice surface energy and mass balance model in Python

COSIPY v1.2 – An open-source coupled snowpack and ice surface energy and mass balance model

Surface energy fluxes on Chilean glaciers: measurements and models

The distribution and evolution of supraglacial lakes on 79° N Glacier (north-eastern Greenland) and interannual climatic controls

Atmosphere Driven Mass-Balance Sensitivity of Halji Glacier, Himalayas

Modeling of Mass Balance Variability and Its Impact on Water Discharge from the Urumqi Glacier No. 1 Catchment, Tian Shan, China


Python framework for processing Universal Dependencies data

Multitask Parsing Across Semantic Representations

Udapi: Universal API for Universal Dependencies

Parameter sharing between dependency parsers for related languages

Treebank Embedding Vectors for Out-of-domain Dependency Parsing

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

Neural End-to-End Coreference Resolution using Morphological Information

Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)


FORCE11 Software Citation Implementation Working Group

Software Citation Principles

Towards FAIR principles for research software

FAIR Computational Workflows

Zenodo (CERN European Organization for Nuclear Research)

From FAIR research data toward FAIR and open research software

Taking a fresh look at FAIR for research software

The importance of software citation

Software Citation Implementation Challenges

Nine best practices for research software registries and repositories

SciCodes: Astronomy Research Software and Beyond

Streamlining and standardizing software citations with The Software
  Citation Station


Directed graph layout for JavaScript

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

SCImago Graphica: a new tool for exploring and visually communicating data

Boba: Authoring and Visualizing Multiverse Analyses

IEEE transactions on visualization and computer graphics

Stress-Plus-X (SPX) Graph Layout

Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

Visual Analysis of Multi-outcome Causal Graphs


Repository for the Human Disease Ontology.

Human Disease Ontology 2018 update: classification, content and workflow expansion

A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

Disease Ontology: improving and unifying disease annotations across species

A harmonized meta-knowledgebase of clinical interpretations of cancer genomic variants

k-BOOM: A Bayesian approach to ontology structure inference, with applications in disease ontology construction

A platform for oncogenomic reporting and interpretation

Identification of clinical disease trajectories in neurodegenerative disorders with natural language processing

Assessing resource use: a case study with the Human Disease Ontology

Database : the journal of biological databases and curation


ABCpy package

Approximate Bayesian Computation in Evolution and Ecology

Annual Review of Ecology, Evolution, and Systematics

An adaptive sequential Monte Carlo method for approximate Bayesian computation

Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation

Bayesian Synthetic Likelihood

SBI -- A toolkit for simulation-based inference

Adaptive approximate Bayesian computation for complex models

Likelihood-free inference via classification

Approximate Bayesian computation with the Wasserstein distance

Journal of the Royal Statistical Society Series B: Statistical Methodology

Approximate Bayesian Computation by Subset Simulation

A simulated annealing approach to approximate Bayes computations


Climate science package for Julia


RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off

International Conference on Machine Learning

Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

Enhance the Visual Representation via Discrete Adversarial Training

Attacking Adversarial Attacks as A Defense

DISCO: Adversarial Defense with Local Implicit Functions

If your data distribution shifts, use self-learning

Quantifying the Preferential Direction of the Model Gradient in Adversarial Training With Projected Gradient Descent

Towards Evaluating the Robustness of Neural Networks Learned by Transduction


Python code for Stellar Population Inference from Spectra and SEDs

Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

The Extended IRTF Spectral Library: Expanded Coverage in Metallicity, Temperature, and Surface Gravity

The Art of Measuring Physical Parameters in Galaxies: A Critical Assessment of Spectral Energy Distribution Fitting Techniques

A very luminous jet from the disruption of a star by a massive black hole

The GOGREEN survey: post-infall environmental quenching fails to predict the observed age difference between quiescent field and cluster galaxies at z > 1

Monthly Notices of the Royal Astronomical Society

A Study of Two Diffuse Dwarf Galaxies in the Field

Signatures of Stellar Accretion in MaNGA Early-type Galaxies

A massive quiescent galaxy confirmed in a protocluster at z=3.09


A One-Click System for Analyzing Loop-Resolution Hi-C Experiments

Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling

Loop extrusion as a mechanism for formation of DNA damage repair foci

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

Identification of significant chromatin contacts from HiChIP data by FitHiChIP

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

Cohesin promotes stochastic domain intermingling to ensure proper regulation of boundary-proximal genes

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

High-resolution genetic mapping of putative causal interactions between regions of open chromatin

Cohesin residency determines chromatin loop patterns

Single-cell multi-omics in the medicinal plant Catharanthus roseus


A toolkit that streamlines and automates the generation of model cards

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Next Steps for Human-Centered Generative AI: A Technical Perspective

Continuous design control for machine learning in certified medical systems

Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information


Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins

Methicillin-resistant Staphylococcus aureus emerged long before the introduction of methicillin into clinical practice

Emergence of Vancomycin-Resistant Enterococcus faecium at an Australian Hospital: A Whole Genome Sequencing Analysis

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Multidrug-resistant Neisseria gonorrhoeae isolate SE690: mosaic penA-60.001 gene causing ceftriaxone resistance internationally has spread to the more antimicrobial-susceptible genomic lineage, Sweden, September 2022

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016

Genomic and phenotypic characterisation of invasive neonatal and colonising group B Streptococcus isolates from Slovenia, 2001–2018

Flies from a tertiary hospital in Rwanda carry multidrug-resistant Gram-negative pathogens including extended-spectrum beta-lactamase-producing E. coli sequence type 131

Antimicrobial resistance and infection control

State-Wide Genomic and Epidemiological Analyses of Vancomycin-Resistant Enterococcus faecium in Tasmania’s Public Hospitals


Scripts to download genomes from the NCBI FTP servers

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

The antiSMASH database version 2: a comprehensive resource on secondary metabolite biosynthetic gene clusters

Viable bacterial colonization is highly limited in the human intestine in utero

Consistent Metagenome-Derived Metrics Verify and Delineate Bacterial Species Boundaries

The antiSMASH database version 3: increased taxonomic coverage and new query features for modular enzymes

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

Beneficial Endophytic Bacteria-Serendipita indica Interaction for Crop Enhancement and Resistance to Phytopathogens

The Oral Mouse Microbiome Promotes Tumorigenesis in Oral Squamous Cell Carcinoma

PanACoTA: a modular tool for massive microbial comparative genomics

Rapid ecosystem-scale consequences of acute deoxygenation on a Caribbean coral reef


Generative Models by Stability AI

Elucidating the Design Space of Diffusion-Based Generative Models

SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Align your Latents: High-Resolution Video Synthesis with Latent Diffusion Models

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Adversarial Diffusion Distillation

Applying Guidance in a Limited Interval Improves Sample and Distribution
  Quality in Diffusion Models

Black-box Membership Inference Attacks against Fine-tuned Diffusion Models

Identifying and Solving Conditional Image Leakage in Image-to-Video
  Diffusion Model

Analysis of Classifier-Free Guidance Weight Schedulers

Zero-Shot Video Semantic Segmentation based on Pre-Trained Diffusion
  Models


Merlin is a cross-platform post-exploitation HTTP/2 Command & Control  server and agent written in golang.

Clustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

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

PicoDomain: A Compact High-Fidelity Cybersecurity Dataset


a tool for CNV discovery and genotyping from depth-of-coverage by mapped reads

Parliament2: Accurate structural variant calling at scale

Whole Genome Sequencing in the Evaluation of Fetal Structural Anomalies: A Parallel Test with Chromosomal Microarray Plus Whole Exome Sequencing

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

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology

Mutation Characteristics and Phylogenetic Analysis of Five Leishmania Clinical Isolates

Animals : an open access journal from MDPI


Scrapy, a fast high-level web crawling & scraping framework for Python.

Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

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

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

Target-based Sentiment Annotation in Chinese Financial News

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

Word Embedding based New Corpus for Low-resourced Language: Sindhi

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright

Pitfalls and guidelines for using time-based Git data


Benchmarking synthetic data generation methods.

Modeling Tabular data using Conditional GAN

Benchmarking Differentially Private Synthetic Data Generation Algorithms

STaSy: Score-based Tabular data Synthesis

TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing

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

Effective and Privacy preserving Tabular Data Synthesizing

MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime

Composable Generative Models

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs


Open-source and strong foundation image recognition models.

Recognize Anything: A Strong Image Tagging Model

Tag2Text: Guiding Vision-Language Model via Image Tagging

LION : Empowering Multimodal Large Language Model with Dual-Level Visual Knowledge

Open-Set Image Tagging with Multi-Grained Text Supervision


Deezer source separation library including pretrained models.

Spleeter: a fast and efficient music source separation tool with pre-trained models

Spleeter: A Fast And State-of-the Art Music Source Separation Tool With Pre-trained Models

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

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

EURASIP journal on audio, speech, and music processing

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual
  Valence-Arousal Estimation and Expression Recognition

J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis

Benchmarks and leaderboards for sound demixing tasks

Avoiding an AI-imposed Taylor's Version of all music history

Research on Music Emotional Expression Based on Reinforcement Learning and Multimodal Information


R package for analysis and visualisation of biological signals in weather radar data

High-Resolution Spatial Distribution of Bird Movements Estimated from a Weather Radar Network


An offline deep reinforcement learning library

Conservative Q-Learning for Offline Reinforcement Learning

Off-Policy Deep Reinforcement Learning without Exploration

Decision Transformer: Reinforcement Learning via Sequence Modeling

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Offline Reinforcement Learning with Implicit Q-Learning

PLAS: Latent Action Space for Offline Reinforcement Learning

Human-to-Robot Imitation in the Wild

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

d3rlpy: An Offline Deep Reinforcement Learning Library

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning


Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddings

Complex Query Answering with Neural Link Predictors

Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras

Machine Learning and Knowledge Discovery in Databases: Research Track

Kronecker Decomposition for Knowledge Graph Embeddings

Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings


Animal Part Tracker

Cortical pattern generation during dexterous movement is input-driven

State-dependent decoupling of sensory and motor circuits underlies behavioral flexibility in Drosophila

Disrupting cortico-cerebellar communication impairs dexterity

A persistent behavioral state enables sustained predation of humans by mosquitoes

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement


Morpheus brings the leading graph query language, Cypher, onto the leading distributed processing platform, Spark.

G-CORE: A Core for Future Graph Query Languages

PG-Schema: Schemas for Property Graphs

Distributed temporal graph analytics with GRADOOP

Incremental View Maintenance for Property Graph Queries

A Framework for Democratizing AI

Certified Graph View Maintenance with Regular Datalog

Theory and Practice of Logic Programming

Semantic Foundations of Seraph Continuous Graph Query Language


An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

LoRA: Low-Rank Adaptation of Large Language Models

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

QLoRA: Efficient Finetuning of Quantized LLMs

ORPO: Monolithic Preference Optimization without Reference Model

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Automated Evaluation of Large Vision-Language Models on Self-driving
  Corner Cases

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

A Survey on Evaluation of Multimodal Large Language Models

TourSynbio: A Multi-Modal Large Model and Agent Framework to Bridge Text
  and Protein Sequences for Protein Engineering


A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

Adversarial Machine Learning -- Industry Perspectives

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Measuring and Preventing Supply Chain Attacks on Package Managers.

DeVAIC: A Tool for Security Assessment of AI-generated Code


A Variant Call Format reader for Python.

WhatsHap: fast and accurate read-based phasing

A bioinformatics workflow for detecting signatures of selection in genomic data

A reference haplotype panel for genome-wide imputation of short tandem repeats

Subgenomic RNA identification in SARS-CoV-2 genomic sequencing data

A phased SNP-based classification of sickle cell anemia HBB haplotypes

Diploid-dominant life cycles characterize the early evolution of Fungi

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

Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana

Immunogenicity of convalescent and vaccinated sera against clinical isolates of ancestral SARS-CoV-2, Beta, Delta, and Omicron variants

The Genomic Impact of Selection for Virulence against Resistance in the Potato Cyst Nematode, Globodera pallida

Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets


The hub for EleutherAI's work on interpretability and learning dynamics

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Finding Neurons in a Haystack: Case Studies with Sparse Probing

Emergent and Predictable Memorization in Large Language Models

The Quantization Model of Neural Scaling

Transformer models: an introduction and catalog

Datasheet for the Pile

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective

Word Embeddings Are Steers for Language Models

FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and Federated LLMs

Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks


IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

A Self-Tuning Actor-Critic Algorithm

What Can Learned Intrinsic Rewards Capture?

The Difficulty of Passive Learning in Deep Reinforcement Learning

FedJAX: Federated learning simulation with JAX

Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality

When should agents explore?

Emphatic Algorithms for Deep Reinforcement Learning

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs

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


A Julia package for large-scale tensor computations, with a hint of category theory

Chiral spin liquids on the kagome lattice with projected entangled simplex states

Lattice regularisation and entanglement structure of the Gross-Neveu model

Trimer states with ℤ_3 topological order in Rydberg atom arrays

Augmenting Density Matrix Renormalization Group with Disentanglers

Augmenting Density Matrix Renormalization Group with Clifford Circuits

Absence of Spin Liquid Phase in the J_1-J_2 Heisenberg model on the Square Lattice

Grassmann time-evolving matrix product operators for equilibrium quantum impurity problems

QSpace - An open-source tensor library for Abelian and non-Abelian
  symmetries

Chiral spin liquids with projected Gaussian fermionic entangled pair states

Clifford Circuits Augmented Time-Dependent Variational Principle


:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Random Erasing Data Augmentation

In Defense of the Triplet Loss for Person Re-Identification

Deep Metric Learning via Lifted Structured Feature Embedding

Deep Learning for Person Re-identification: A Survey and Outlook

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

Circle Loss: A Unified Perspective of Pair Similarity Optimization

Joint Discriminative and Generative Learning for Person Re-identification

Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

SphereReID: Deep Hypersphere Manifold Embedding for Person Re-Identification

Journal of Visual Communication and Image Representation


A ultra-high precision package for simulating radio interferometers in python on compute clusters.

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

A Unified Calibration Framework for 21 cm Cosmology

Monthly notices of the Royal Astronomical Society

New EoR power spectrum limits from MWA Phase II using the delay spectrum method and novel systematic rejection

Validation Solutions to the Full-sky Radio Interferometry Measurement Equation for Diffuse Emission

The Astrophysical Journal Supplement Series

Precision Calibration of Radio Interferometers for 21 cm Cosmology with No Redundancy and Little Knowledge of Antenna Beams and the Radio Sky

The fhd polarised imaging pipeline: A new approach to widefield interferometric polarimetry

Publications of the Astronomical Society of Australia

All Sky Modelling Requirements for Bayesian 21 cm Power Spectrum Estimation with BayesEoR

matvis: A matrix-based visibility simulator for fast forward modelling of many-element 21 cm arrays


Code and tutorials to visualise your data that is both beautiful *and* statistically valid

Raincloud plots: a multi-platform tool for robust data visualization

A multi-site, multi-disorder resting-state magnetic resonance image database

High-resolution dietary reconstruction of victims of the 79 CE Vesuvius eruption at Herculaneum by compound-specific isotope analysis

Good scientific practice in EEG and MEG research: Progress and perspectives

The effects of multi-echo fMRI combination and rapid T2*-mapping on offline and real-time BOLD sensitivity

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation

A dynamic link between respiration and arousal

Sequential Finger-tapping Learning Mediated by the Primary Motor Cortex and Fronto-parietal Network: A Combined MRI-MRS&nbsp;Study


Interpretable ML package  for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Definitions, methods, and applications in interpretable machine learning

Supersparse linear integer models for optimized medical scoring systems

Scalable Bayesian Rule Lists

Learning Optimized Risk Scores

imodels: a python package for fitting interpretable models

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods

MDI+: A Flexible Random Forest-Based Feature Importance Framework

Fast Interpretable Greedy-Tree Sums

Probabilistic Dataset Reconstruction from Interpretable Models


DScribe is a python package for creating machine learning descriptors for atomistic systems.

DScribe: Library of descriptors for machine learning in materials science

Recent advances and applications of deep learning methods in materials science

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning

Chemical diversity in molecular orbital energy predictions with kernel ridge regression.

Efficient hyperparameter tuning for kernel ridge regression with Bayesian optimization

Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials

Updates to the DScribe Library: New Descriptors and Derivatives


A collection of diagnostic and interpolation routines for use with output from the Weather Research and Forecasting (WRF-ARW) Model.

Turbulent kinetic energy over large offshore wind farms observed and simulated by the mesoscale model WRF (3.8.1)


Global birdsong embeddings enable superior transfer learning for bioacoustic classification

BIRB: A Generalization Benchmark for Information Retrieval in Bioacoustics

Leveraging tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics


Official Repository for the Uni-Mol Series Methods

Uni-Mol: A Universal 3D Molecular Representation Learning Framework

International Conference on Learning Representations

PoseBusters: AI-based docking methods fail to generate physically valid poses or generalise to novel sequences

Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+

MUBen: Benchmarking the Uncertainty of Molecular Representation Models

Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction

Quantifying the Hardness of Bioactivity Prediction Tasks for Transfer Learning

Journal of Chemical Information and Modeling

Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction

Data-driven quantum chemical property prediction leveraging 3D conformations with Uni-Mol+


Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

A Systematic Assessment of Embedded Neural Networks for Object Detection

IEEE International Conference on Emerging Technologies and Factory Automation

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds

Pesticide-Free Robotic Control of Aphids as Crop Pests

Increasing FPS for single board computers and embedded computers in 2021 (Jetson nano and YOVOv4-tiny). Practice and review


Creative Commons Attribution 4.0 International

Scientific Document Summarization Corpus and Annotations from the WING NUS group.

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks

Scientific document summarization via citation contextualization and scientific discourse

International Journal on Digital Libraries

Overview of the CL-SciSumm 2016 Shared Task

The CL-SciSumm Shared Task 2018: Results and Key Insights

Overview and Results: CL-SciSumm Shared Task 2019

Overview and Insights from the Shared Tasks at Scholarly Document Processing 2020: CL-SciSumm, LaySumm and LongSumm

Empirical Methods in Natural Language Processing

Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning

IITP-AI-NLP-ML@ CL-SciSumm 2020, CL-LaySumm 2020, LongSumm 2020

IR&TM-NJUST@CLSciSumm 20

Automatic text summarization of scientific articles using transformers—A brief review


Scalable datastore for metrics, events, and real-time analytics

Is your clock-face cozie? A smartwatch methodology for the in-situ collection of occupant comfort data

A Wearable IoT Aldehyde Sensor for Pediatric Asthma Research and Management

An Empirical Analysis of UI-based Flaky Tests

Effectively Testing System Configurations of Critical IoT Analytics Pipelines

NagareDB: A Resource-Efficient Document-Oriented Time-Series Database

International Conference on Data Technologies and Applications

AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry

Magpie: Automatically Tuning Static Parameters for Distributed File Systems using Deep Reinforcement Learning


Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.

Mining Fix Patterns for FindBugs Violations

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Wait For It: Identifying "On-Hold" Self-Admitted Technical Debt

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

An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities

ACM Transactions on Software Engineering and Methodology

Prompting Frameworks for Large Language Models: A Survey

Predicting technical debt from commit contents: reproduction and extension with automated feature selection

An extensive study on smell-aware bug localization

On the Distribution of "Simple Stupid Bugs" in Unit Test Files: An Exploratory Study

Drawing the Boundaries Between Blockchain and Blockchain-Like Systems: A Comprehensive Survey on Distributed Ledger Technologies


SO Likelihoods and Theories

Constraining the galaxy-halo connection of infrared-selected unWISE galaxies with galaxy clustering and galaxy-CMB lensing power spectra

Cosmology from cross-correlation of ACT-DR4 CMB lensing and DES-Y3 cosmic shear


PROGRESS: Parallel, Rapid O(N) and Graph-based Recursive Electronic Structure Solver.

Exascale applications: skin in the game

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

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

A fast, dense Chebyshev solver for electronic structure on GPUs

Hybrid programming-model strategies for GPU offloading of electronic structure calculation kernels


A set of tools to analyse the output from TraDIS analyses

A decade of advances in transposon-insertion sequencing

Essential Role of the ESX-5 Secretion System in Outer Membrane Permeability of Pathogenic Mycobacteria

The Capsule Regulatory Network of Klebsiella pneumoniae Defined by density-TraDISort

The secondary resistome of multidrug-resistant Klebsiella pneumoniae

Candidate Essential Genes in Burkholderia cenocepacia J2315 Identified by Genome-Wide TraDIS

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes

A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence

Transposon Insertion Sequencing Elucidates Novel Gene Involvement in Susceptibility and Resistance to Phages T4 and T7 in Escherichia coli O157

Global Analysis of Genes Essential for Francisella tularensis Schu S4 Growth In Vitro and for Fitness during Competitive Infection of Fischer 344 Rats

Genetic Determinants Associated With in Vivo Survival of Burkholderia cenocepacia in the Caenorhabditis elegans Model


Cylon is a fast, scalable, distributed memory, parallel runtime with a Pandas like DataFrame.

High Performance Data Engineering Everywhere

Data Engineering for HPC with Python

High Performance Dataframes from Parallel Processing Patterns

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

Hybrid Cloud and HPC Approach to High-Performance Dataframes


JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

Development and Progress in Sensors and Technologies for Human Emotion Recognition

A Multimodal Human-Computer Interaction System and Its Application in Smart Learning Environments

Towards Understanding the Faults of JavaScript-Based Deep Learning Systems

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Augmenting Social Science Research with Multimodal Data Collection: The EZ-MMLA Toolkit

Architecture of cross-platform videoconferencing system with automatic recognition of user emotions

IOP Conference Series: Materials Science and Engineering


Some data analysis tools for working with historical PV solar time-series data sets.

Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models

Estimation of Soiling Losses in Unlabeled PV Data


Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

Construction of Hierarchical Neural Architecture Search Spaces based on Context-free Grammars

Python Wrapper for Simulating Multi-Fidelity Optimization on HPO Benchmarks without Any Wait


The General NOAA Operational Modeling Environment

OpenDrift v1.0: a generic framework for trajectory modeling

Revisiting the DeepWater Horizon spill: High resolution model simulations of effects of oil droplet size distribution and river fronts


YMIR, a streamlined model development product.

Deep Active Learning for Computer Vision: Past and Future

ALBench: A Framework for Evaluating Active Learning in Object Detection

YMIR: A Rapid Data-centric Development Platform for Vision Applications