An implementation of Performer, a linear attention-based transformer, in Pytorch

Rethinking Attention with Performers

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series Forecasting

Chess as a Testbed for Language Model State Tracking

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining

Morphology-preserving Autoregressive 3D Generative Modelling of the Brain

Nonparametric Modern Hopfield Models


Stanford Method for Persistent Scatterers

LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor

Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-Scale Surface Deformation Mapping

Displacements Monitoring over Czechia by IT4S1 System for Automatised Interferometric Measurements Using Sentinel-1 Data

Monitoring of Ground Movements Due to Mine Water Rise Using Satellite-Based Radar Interferometry—A Comprehensive Case Study for Low Movement Rates in the German Mining Area Lugau/Oelsnitz

Linking land subsidence to soil types within Hue city in Central Vietnam

Present‐Day Surface Deformation of Sicily Derived From Sentinel‐1 InSAR Time‐Series

Journal of Geophysical Research: Solid Earth


A highly scalable, user-interactive tool for the large scale analysis of Biosynthetic Gene Clusters data

BiG-SLiCE: A highly scalable tool maps the diversity of 1.2 million biosynthetic gene clusters

BGCFlow: systematic pangenome workflow for the analysis of biosynthetic gene clusters across large genomic datasets

Compendium of secondary metabolite biosynthetic diversity encoded in bacterial genomes

Diversity and taxonomic distribution of bacterial biosynthetic gene clusters predicted to produce compounds with therapeutically relevant bioactivities

Journal of industrial microbiology & biotechnology


Home Performance XML


Python library to facilitate genome assembly, annotation, and comparative genomics

ALLMAPS: robust scaffold ordering based on multiple maps

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Analysis of the Coptis chinensis genome reveals the diversification of protoberberine-type alkaloids

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

International journal of molecular sciences

Genome Synteny Has Been Conserved Among the Octoploid Progenitors of Cultivated Strawberry Over Millions of Years of Evolution

Gene Family Evolution in the Pea Aphid Based on Chromosome-Level Genome Assembly

The eccDNA Replicon: A heritable, extra-nuclear vehicle that enables gene amplification and glyphosate resistance in Amaranthus palmeri

A chromosome-level reference genome of non-heading Chinese cabbage [Brassica campestris (syn. Brassica rapa) ssp. chinensis]

Genome-Wide Analysis and Expression Profile of Superoxide Dismutase (SOD) Gene Family in Rapeseed (Brassica napus L.) under Different Hormones and Abiotic Stress Conditions

De novo phased assembly of the Vitis riparia grape genome


FedScale is a scalable and extensible open-source federated learning (FL) platform.

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Recent Advances on Federated Learning: A Systematic Survey

FLINT: A Platform for Federated Learning Integration


ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

IntelliCode Compose: Code Generation Using Transformer

Towards Fast, Accurate and Stable 3D Dense Face Alignment

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

TurboTransformers: An Efficient GPU Serving System For Transformer Models

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Extending Relational Query Processing with ML Inference

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML

End-to-end Optimization of Machine Learning Prediction Queries

Proceedings of the 2022 International Conference on Management of Data


web documentation for Trinotate

Soil Metatranscriptomes Under Long-Term Experimental Warming and Drying: Fungi Allocate Resources to Cell Metabolic Maintenance Rather Than Decay

Comparative transcriptomics in Syllidae (Annelida) indicates that posterior regeneration and regular growth are comparable, while anterior regeneration is a distinct process

Shared up-regulation and contrasting down-regulation of gene expression distinguish desiccation-tolerant from intolerant green algae

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

Unravelling Rubber Tree Growth by Integrating GWAS and Biological Network-Based Approaches

Ultrafast functional profiling of RNA-seq data for nonmodel organisms

Microbiota Perturbation or Elimination Can Inhibit Normal Development and Elicit a Starvation-Like Response in an Omnivorous Model Invertebrate

A crustacean annotated transcriptome (CAT) database

Pearl Sac Gene Expression Profiles Associated With Pearl Attributes in the Silver-Lip Pearl Oyster, Pinctada maxima

Deciphering triterpenoid saponin biosynthesis by leveraging transcriptome response to methyl jasmonate elicitation in Saponaria vaccaria

A Combined Transcriptomics and Proteomics Approach Reveals the Differences in the Predatory and Defensive Venoms of the Molluscivorous Cone Snail Cylinder ammiralis (Caenogastropoda: Conidae)


Changes in the Microbial Structure of the Root Soil and the Yield of Chinese Baby Cabbage by Chemical Fertilizer Reduction with Bio-Organic Fertilizer Application

Comparative Molecular Characterization of Novel and Known Piscine Toti-Like Viruses

De novo assembly and transcriptome characterization: Novel insights into the mechanisms of primary ovarian cancer in Microtus fortis

High-quality Gossypium hirsutum and Gossypium barbadense genome assemblies reveal the landscape and evolution of centromeres

Synergistic Activity of Cefiderocol in Combination with Piperacillin-Tazobactam, Fosfomycin, Ampicillin-Sulbactam, Imipenem-Relebactam and Ceftazidime-Avibactam against Carbapenem-Resistant Gram-Negative Bacteria

Mapping Floral Genetic Architecture in Prunus mume, an Ornamental Woody Plant

Identification and Functional Analysis of Differentially Expressed Genes in Myzus persicae (Hemiptera: Aphididae) in Response to Trans-anethole

Pumping iron: A multi-omics analysis of two extremophilic algae reveals iron economy management

Mapping open chromatin by ATAC-seq in bread wheat

Peroxisome Proliferator-Activated Receptor Activation in Precision-Cut Bovine Liver Slices Reveals Novel Putative PPAR Targets in Periparturient Dairy Cows


DeMoN: Depth and Motion Network

DeMoN: Depth and Motion Network for Learning Monocular Stereo

DPSNet: End-to-end Deep Plane Sweep Stereo

MVDepthNet: Real-time Multiview Depth Estimation Neural Network

MVS^2: Deep Unsupervised Multi-view Stereo with Multi-View Symmetry


The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Whole genome sequencing in clinical and public health microbiology

A Brief Review of Software Tools for Pangenomics

基因组蛋白质组与生物信息学报

Epidemic Dynamics of Vibrio parahaemolyticus Illness in a Hotspot of Disease Emergence, Galicia, Spain

Melioidosis in a Resident of Texas with No Recent Travel History, United States

Burkholderia thailandensis Isolated from Infected Wound, Arkansas, USA

In silico Identification of Serovar-Specific Genes for Salmonella Serotyping

Rapid Core-Genome Alignment and Visualization for Thousands of Intraspecific Microbial Genomes

Burkholderia species in human infections in Mexico: Identification of B. cepacia, B. contaminans, B. multivorans, B. vietnamiensis,B. pseudomallei and a new Burkholderia species

Subclinical Burkholderia pseudomallei Infection Associated with Travel to the British Virgin Islands


Python library for processing Chinese text

Building and Using Personal Knowledge Graph to Improve Suicidal Ideation Detection on Social Media

Exploiting investors social network for stock prediction in China's market

Multi-Source Pointer Network for Product Title Summarization

Temporal Dynamics of Public Emotions During the COVID-19 Pandemic at the Epicenter of the Outbreak: Sentiment Analysis of Weibo Posts From Wuhan

LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation

The Impact of Public Health Events on COVID-19 Vaccine Hesitancy on Chinese Social Media: National Infoveillance Study

Internet Public Opinion Evolution in the COVID-19 Event and Coping Strategies

Disaster medicine and public health preparedness

Towards a Universal Sentiment Classifier in Multiple languages

Empirical Methods in Natural Language Processing

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP

Time to Transfer: Predicting and Evaluating Machine-Human Chatting Handoff


Trefle is a botanical JSON REST API for plants species, allowing you to search and query over all the registered species, and build the next gardening apps and farming robots.


fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and extract pocket descriptors on a large scale level. fpocket is distributed as free open source software. If you are interested in integrating fpocket in an industrial setting and require official support, please contact Discngine (www.discngine.com).

Drug Discovery for Mycobacterium tuberculosis Using Structure-Based Computer-Aided Drug Design Approach

Open-Source Machine Learning in Computational Chemistry

Journal of chemical information and modeling

TargetDB: A target information aggregation tool and tractability predictor

SHREC 2022: Protein-ligand binding site recognition

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

Intermolecular Interactions in G Protein-Coupled Receptor Allosteric Sites at the Membrane Interface from Molecular Dynamics Simulations and Quantum Chemical Calculations

Zenodo (CERN European Organization for Nuclear Research)

Open-Source Browser-Based Tools for Structure-Based Computer-Aided Drug Discovery

Unveiling New Druggable Pockets in Influenza Non-Structural Protein 1: NS1–Host Interactions as Antiviral Targets for Flu


A fast stabilizer circuit library.

Suppressing quantum errors by scaling a surface code logical qubit

A Fault-Tolerant Honeycomb Memory

Relaxing Hardware Requirements for Surface Code Circuits using Time-dynamics

Benchmarking the Planar Honeycomb Code

A Pair Measurement Surface Code on Pentagons

Microarchitectures for Heterogeneous Superconducting Quantum Computers

SymPhase: Phase Symbolization for Fast Simulation of Stabilizer Circuits


DCA++

DCA++: A software framework to solve correlated electron problems with modern quantum cluster methods

DFT+DMFT calculations of the band gap and the transmission decay rate for the transition metal monoxides MnO, FeO, CoO and NiO

Orbital structure of the effective pairing interaction in the high-temperature superconducting cuprates

1/4 is the new 1/2 when topology is intertwined with Mottness

Enhancing d-wave superconductivity with nearest-neighbor attraction of extended Hubbard model

Pairfield fluctuations of a 2D Hubbard model

Superconductivity in the bilayer Hubbard model: Two Fermi surfaces are better than one

Superconductivity in the Bilayer Two-orbital Hubbard Model

Robust charge-density-wave correlations in the electron-doped single-band Hubbard model

Characterizing the superconducting instability in a two-orbital d-s model: insights to infinite-layer nickelate superconductors


QuPath - Open-source bioimage analysis for research

QuPath: Open source software for digital pathology image analysis

Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment

QuPath: The global impact of an open source digital pathology system

Computational and structural biotechnology journal

Artificial Intelligence in Pathology: From Prototype to Product

QuPath Digital Immunohistochemical Analysis of Placental Tissue

Open Practices and Resources for Collaborative Digital Pathology

Low Expression of RGS2 Promotes Poor Prognosis in High-Grade Serous Ovarian Cancer

Endometrial cancer PDX-derived organoids (PDXOs) and PDXs with FGFR2c isoform expression are sensitive to FGFR inhibition

Effect of 2-methoxyestradiol treatment on early- and late-stage breast cancer progression in a mouse model

HistoColAi: An Open-Source Web Platform for Collaborative Digital Histology Image Annotation with AI-Driven Predictive Integration


MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Generative AI for Medical Imaging: extending the MONAI Framework

Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model

Bias in Unsupervised Anomaly Detection in Brain MRI


A lightning fast Finite State machine and REgular expression manipulation library.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Symptom Identification for Interpretable Detection of Multiple Mental Disorders

TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-ranking

Improving Tokenisation by Alternative Treatment of Spaces

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

Mitigating the Position Bias of Transformer Models in Passage Re-Ranking

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

AboutMe: Using Self-Descriptions in Webpages to Document the Effects of English Pretraining Data Filters

A Summarization Dataset of Slovak News Articles

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


Python library for processing (tandem) mass spectrometry data and for computing spectral similarities.

Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships

matchms - processing and similarity evaluation of mass spectrometry data

Comparison of Cosine, Modified Cosine, and Neutral Loss Based Spectrum Alignment For Discovery of Structurally Related Molecules


A dataset of datasets for learning to learn from few examples

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

CrossTransformers: spatially-aware few-shot transfer

Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes

Cross-domain Few-shot Learning with Task-specific Adapters

Meta-Learning with Adaptive Hyperparameters

Universal Representation Learning from Multiple Domains for Few-shot Classification

Meta-Learning Requires Meta-Augmentation

Learning a Universal Template for Few-shot Dataset Generalization

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification

International Conference on Computer Vision

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning


Real-Time Rendering Framework

Real-time neural radiance caching for path tracing

Real-Time Neural Appearance Models

Dynamic Diffuse Global Illumination Resampling

Decorrelating ReSTIR Samplers via MCMC Mutations

Neural Partitioning Pyramids for Denoising Monte Carlo Renderings

Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings

Neural Shadow Mapping

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Real-Time Path-Guiding Based on Parametric Mixture Models

Ray-VR: Ray Tracing Virtual Reality in Falcor

Non-homogeneous denoising for virtual reality in real-time path tracing rendering

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


A massively-parallel, block-sparse tensor framework written in C++

Relativistic Internally Contracted Multireference Electron Correlation Methods

Journal of chemical theory and computation

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

Irregular Applications: Architectures and Algorithms

Clustered Low-Rank Tensor Format: Introduction and Application to Fast Construction of Hartree-Fock Exchange.

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

The landscape of software for tensor computations

Efficient evaluation of exact exchange for periodic systems via concentric atomic density fitting.

TeNeS: Tensor network solver for quantum lattice systems

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

Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network

Deinsum: Practically I/O Optimal Multi-Linear Algebra


An extensible multilanguage static code analyzer.

Bellwethers: A Baseline Method For Transfer Learning

Learning Quick Fixes from Code Repositories

A Critical Comparison on Six Static Analysis Tools: Detection, Agreement, and Precision

Less is more: Minimizing code reorganization using XTREE

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

A preliminary study on the adequacy of static analysis warnings with respect to code smell prediction

GitHub-OSS Fixit: Fixing bugs at scale in a Software Engineering Course

CamBench -- Cryptographic API Misuse Detection Tool Benchmark Suite

Simpler Transfer Learning (Using "Bellwethers").

Internal Quality Evolution of Open-Source Software Systems


Research code for ECCV 2020 paper "UNITER: UNiversal Image-TExt Representation Learning"

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

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

LightningDOT: Pre-training Visual-Semantic Embeddings for Real-Time Image-Text Retrieval

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review

Human-Adversarial Visual Question Answering

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning

Separating Skills and Concepts for Novel Visual Question Answering

Learning Relation Alignment for Calibrated Cross-modal Retrieval

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations


An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

A Survey on Time-Series Pre-Trained Models

TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting

Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process

From Similarity to Superiority: Channel Clustering for Time Series
  Forecasting

Medformer: A Multi-Granularity Patching Transformer for Medical
  Time-Series Classification

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


small mammals brain MRI

Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python

Broad Influence of Mutant Ataxin-3 on the Proteome of the Adult Brain, Young Neurons, and Axons Reveals Central Molecular Processes and Biomarkers in SCA3/MJD Using Knock-In Mouse Model

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice

SCA7 mice recapitulate CNS, PNS and retina pathologies and show a transcriptional signature of Purkinje cell dysfunction prevailing in SCA1 and SCA2 mice.


Computer generated building footprints for the United States

Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling

ISPRS International Journal of Geo-Information

Assessing Property Level Economic Impacts of Climate in the US, New Insights and Evidence from a Comprehensive Flood Risk Assessment Tool

Understanding the mesoscopic scaling patterns within cities

Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform

Tools for mapping multi-scale settlement patterns of building footprints: An introduction to the R package foot

Simulating historical flood events at the continental scale: observational validation of a large-scale hydrodynamic model

Natural hazards and earth system sciences

Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States

Open Data and Deep Semantic Segmentation for Automated Extraction of Building Footprints

Road Network Evolution in the Urban and Rural United States Since 1900

A Simplified Framework for High-Resolution Urban Vegetation Classification with Optical Imagery in the Los Angeles Megacity


A fast compressor/decompressor

FIRE6: Feynman Integral REduction with modular arithmetic

In-memory database acceleration on FPGAs: a survey

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

Massively-Parallel Lossless Data Decompression

Data Lakes: A Survey of Functions and Systems

Data lake concept and systems: a survey.

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

IEEE Transactions on Parallel and Distributed Systems

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

Liquid Cloud Storage

Order-Preserving Key Compression for In-Memory Search Trees


A polyhedral compiler for expressing fast and portable data parallel algorithms

Tiramisu: A Polyhedral Compiler for Expressing Fast and Portable Code

Formal Semantics for the Halide Language


Flax is a neural network library for JAX that is designed for flexibility.

Deep Residual Learning for Image Recognition

Attention Is All You Need

Auto-Encoding Variational Bayes

An Empirical Study of Training Self-Supervised Vision Transformers

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Offline Reinforcement Learning with Implicit Q-Learning

Structured Denoising Diffusion Models in Discrete State-Spaces

Long Range Arena: A Benchmark for Efficient Transformers

Gemini 1.5: Unlocking multimodal understanding across millions of tokens
  of context

PaLI: A Jointly-Scaled Multilingual Language-Image Model


An SE(3)-invariant autoencoder for generating the periodic structure of materials [ICLR 2022]

GemNet: Universal Directional Graph Neural Networks for Molecules

Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules

Crystal Diffusion Variational Autoencoder for Periodic Material Generation

Crystal Structure Prediction by Joint Equivariant Diffusion

Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models.


An official implementation of Pangu-Weather

Accurate medium-range global weather forecasting with 3D neural networks

Pangu-Weather: A 3D High-Resolution Model for Fast and Accurate Global Weather Forecast

WeatherBench 2: A benchmark for the next generation of data-driven global weather models

On Some Limitations of Current Machine Learning Weather Prediction Models

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

On some limitations of data-driven weather forecasting models

Advancing Parsimonious Deep Learning Weather Prediction using the HEALPix Mesh

Predictability Limit of the 2021 Pacific Northwest Heatwave from
  Deep-Learning Sensitivity Analysis

Uncertainty quantification for data-driven weather models

Validating Deep-Learning Weather Forecast Models on Recent High-Impact Extreme Events


[ICLR 2023 Oral] Zero-Shot Image Restoration Using Denoising Diffusion Null-Space Model

Early Stopping for Deep Image Prior

Unlimited-Size Diffusion Restoration

FLAIR: A Conditional Diffusion Framework with Applications to Face Video Restoration


Source code about machine learning and security.

CyExec*: A High-Performance Container-Based Cyber Range With Scenario Randomization

Security Information Sharing in Smart Grids: Persisting Security Audits to the Blockchain

An exploratory study on the predominant programming paradigms in Python code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Hacking Neural Networks: A Short Introduction


Creative Commons Attribution 4.0 International

ARTIC nanopore protocol for nCoV2019 novel coronavirus

Screening of healthcare workers for SARS-CoV-2 highlights the role of asymptomatic carriage in COVID-19 transmission

Rapid implementation of SARS-CoV-2 sequencing to investigate cases of health-care associated COVID-19: a prospective genomic surveillance study

Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities

In vitro selection of Remdesivir resistance suggests evolutionary predictability of SARS-CoV-2

Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

Genomic epidemiology identifies emergence and rapid transmission of SARS-CoV-2 B.1.1.7 in the United States

medRxiv : the preprint server for health sciences

Emergence and expansion of SARS-CoV-2 B.1.526 after identification in New York

Stability of SARS-CoV-2 phylogenies

The UCSC SARS-CoV-2 Genome Browser

Complete Genome Sequence of SARS-CoV-2 in a Tiger from a U.S. Zoological Collection


DeepWalk - Deep Learning for Graphs

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Revisiting Semi-Supervised Learning with Graph Embeddings

A Survey on Network Embedding

Heterogeneous Information Network Embedding for Recommendation

Network Representation Learning: A Survey

Inductive Representation Learning on Temporal Graphs

Graph Self-Supervised Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Graph-based Semi-supervised Learning: A Comprehensive Review


MicaSense RedEdge and Altum image processing tutorials

Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes

High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat

Tree Species Classification and Health Status Assessment for a Mixed Broadleaf-Conifer Forest with UAS Multispectral Imaging

Evaluation of Unoccupied Aircraft System (UAS) Remote Sensing Reflectance Retrievals for Water Quality Monitoring in Coastal Waters

Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy

Identifying the Optimal Radiometric Calibration Method for UAV-Based Multispectral Imaging

Assessing The Performance of YOLOv5 Algorithm for Detecting Volunteer Cotton Plants in Corn Fields at Three Different Growth Stages

Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.)

An initial exploration of vicarious and in-scene calibration techniques for small unmanned aircraft systems

Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery


OpenQuake Engine: a software for Seismic Hazard and Risk Analysis

Integrating faults and past earthquakes into a probabilistic seismic hazard model for peninsular Italy

Integrated Seismic Risk Assessment in Nepal

The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data


Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

Robust Immersive Telepresence and Mobile Telemanipulation: NimbRo wins ANA Avatar XPRIZE Finals

Interactive All-Hex Meshing via Cuboid Decomposition

NimbRo Wins ANA Avatar XPRIZE Immersive Telepresence Competition: Human-Centric Evaluation and Lessons Learned

mc-mujoco: Simulating Articulated Robots with FSM Controllers in MuJoCo

SplitStreams: A Visual Metaphor for Evolving Hierarchies

Implementing a digital infrastructure for the lab using a central laboratory server and the SiLA2 communication standard

Running on Raygun

Improving graphics programming with shader tests

Non-homogeneous denoising for virtual reality in real-time path tracing rendering

Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data

International journal of biomedical imaging


Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

A Survey of Deep Learning for Scientific Discovery

Conditional Sound Generation Using Neural Discrete Time-Frequency Representation Learning

f-DM: A Multi-stage Diffusion Model via Progressive Signal Transformation

High- and Low-level image component decomposition using VAEs for improved reconstruction and anomaly detection

PatchGame: Learning to Signal Mid-level Patches in Referential Games

Topological Neural Discrete Representation Learning à la Kohonen


Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Lag-Llama: Towards Foundation Models for Time Series Forecasting

Chronos: Learning the Language of Time Series

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


GIREMI is a method that can identify RNA editing sites using one RNA-seq data set without requiring genome sequence data.

SPRINT: an SNP-free toolkit for identifying RNA editing sites

A-to-I RNA Editing in Cancer: From Evaluating the Editing Level to Exploring the Editing Effects

Accurate identification of RNA editing sites from primitive sequence with deep neural networks

Analysis of RNA Editing Sites from RNA-Seq Data Using GIREMI

TRANSCRIPTOME DATA ANALYSIS: METHODS AND PROTOCOLS


R Package for Scraping and Aggregating NFL Data

nflWAR: a reproducible method for offensive player evaluation in football

Big ideas in sports analytics and statistical tools for their investigation

Empirical Prediction of Turnovers in NFL Football

A Reinforcement Learning Based Approach to Play Calling in Football

Simulation-based decision making in the NFL using NFLSimulatoR


[NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models

Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model

Confidence-aware Reward Optimization for Fine-tuning Text-to-Image
  Models


Grizli:  The "Grism redshift and line" analysis software

The Emergence of a Lanthanide-rich Kilonova Following the Merger of Two Neutron Stars

A population of red candidate massive galaxies ~600 Myr after the Big Bang

The evolution of the galaxy UV luminosity function at redshifts z ~ 8-15 from deep JWST and ground-based near-infrared imaging

Two Remarkably Luminous Galaxy Candidates at z≈10-12 Revealed by JWST

The GLASS-JWST Early Release Science Program. I. Survey Design and Release Plans

Revealing Galaxy Candidates out to z ∼ 16 with JWST Observations of the Lensing Cluster SMACS0723

COSMOS-DASH: The Evolution of the Galaxy Size–Mass Relation since z ∼ 3 from New Wide-field WFC3 Imaging Combined with CANDELS/3D-HST

CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results

The ALPINE–ALMA [C ii] Survey: Multiwavelength Ancillary Data and Basic Physical Measurements

The Astrophysical Journal Supplement Series

First look with JWST spectroscopy: Resemblance among z ∼ 8 galaxies and local analogs


Solax Inverter API Wrapper


The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Unity: A General Platform for Intelligent Agents

Large-Scale Study of Curiosity-Driven Learning

Strategies for Using Proximal Policy Optimization in Mobile Puzzle Games

International Conference on the Foundations of Digital Games

On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning

Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning

Redirection Controller Using Reinforcement Learning

Multi-Agent Reinforcement Learning with Multi-Step Generative Models

Reinforcement Learning from Hierarchical Critics

Curriculum Learning for Safe Mapless Navigation

Proceedings of the 37th ACM/SIGAPP Symposium on Applied Computing

Training a Resilient Q-network against Observational Interference


fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.

fMRIPrep: a robust preprocessing pipeline for functional MRI

Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis

IEEE transactions on bio-medical engineering

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Vagus nerve stimulation increases stomach-brain coupling via a vagal afferent pathway

The control of tonic pain by active relief learning

Pain-Related Fear—Dissociable Neural Sources of Different Fear Constructs

3D Deformable Convolutions for MRI classification

Neural excursions from manifold structure explain patterns of learning during human sensorimotor adaptation

Brain signaling dynamics after vagus nerve stimulation

Brain Modelling as a Service: The Virtual Brain on EBRAINS


Sequence-to-graph mapper and graph generator

A draft human pangenome reference

Genomic and transcriptomic variation defines the chromosome-scale assembly of Haemonchus contortus, a model gastrointestinal worm

Pan-mitogenomics reveals the genetic basis of cytonuclear conflicts in citrus hybridization, domestication, and diversification

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

The design and construction of reference pangenome graphs

Phylogenomic Analysis of the Plastid Genome of the Peruvian Purple Maize Zea mays subsp. mays cv. ‘INIA 601’


An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Unsupervised Learning of Depth and Ego-Motion from Video

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue

Unsupervised Learning of Depth, Optical Flow and Pose With Occlusion From 3D Geometry

IEEE Transactions on Intelligent Transportation Systems

SfMLearner++: Learning Monocular Depth & Ego-Motion using Meaningful Geometric Constraints

Epipolar Geometry based Learning of Multi-view Depth and Ego-Motion from Monocular Sequences

Improving Self-Supervised Single View Depth Estimation by Masking Occlusion


RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Scalar Field Comparison with Topological Descriptors: Properties and Applications for Scientific Visualization

BrainIAK: The Brain Imaging Analysis Kit

Stability of 2-Parameter Persistent Homology

Fast Minimal Presentations of Bi-graded Persistence Modules

Koszul Complexes and Relative Homological Algebra of Functors Over Posets

Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics

Topological Data Analysis on Simple English Wikipedia Articles

The Degree-Rips Complexes of an Annulus with Outliers

The bifiltration of a relation and extended Dowker duality


DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

Label Embedding for Zero-shot Fine-grained Named Entity Typing

International Conference on Computational Linguistics

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”

International journal of environmental research and public health

Automatic Synonym Discovery with Knowledge Bases

Semantic homophily in online communication: evidence from Twitter

Combining Open Source Annotators for Entity Linking through Weighted Voting

Joint Conference on Lexical and Computational Semantics

OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity

A Context-Aware Conversational Agent in the Rehabilitation Domain

Supporting the Linked Data Life Cycle Using an Integrated Tool Stack

Linked Open Data -- Creating Knowledge Out of Interlinked Data

Building Enterprise Ready Applications Using Linked Open Data


Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.

Svar: A Tiny C++ Header Brings Unified Interface for Multiple programming Languages

Efficient and Accurate Automatic Python Bindings with cppyy & Cling


An easy-to-use federated learning platform

FederatedScope: A Flexible Federated Learning Platform for Heterogeneity

FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Efficient Personalized Federated Learning via Sparse Model-Adaptation

Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes

Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization

A Benchmark for Federated Hetero-Task Learning

On the Convergence of Zeroth-Order Federated Tuning for Large Language Models


The PyTorch-based audio source separation toolkit for researchers

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

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

Deep clustering: Discriminative embeddings for segmentation and separation

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

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

Alternative Objective Functions for Deep Clustering

International Conference on Acoustics, Speech, and Signal Processing

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

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

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

TorchAudio: Building Blocks for Audio and Speech Processing

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

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


Evaluating Fuzz Testing

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Exploring C semantics and pointer provenance

Proceedings of the ACM on Programming Languages

Iceberg Hashing: Optimizing Many Hash-Table Criteria at Once

Tiny Pointers

Reference counting with frame limited reuse

Proceedings of the ACM on programming languages

Forward-Mode Automatic Differentiation of Compiled Programs

Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith

Auto-Tuning of Dynamic Scheduling Applied to 3D Reverse Time Migration on Multicore Systems

Future Directions for Optimizing Compilers


AI Feynman: a Physics-Inspired Method for Symbolic Regression

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Cosmic backreaction and the mean redshift drift from symbolic regression

Learning Symbolic Expressions: Mixed-Integer Formulations, Cuts, and Heuristics

Conjecturing-Based Discovery of Patterns in Data


Bayesian genotyper for structural variants

Parliament2: Accurate structural variant calling at scale

A 12 kb multi-allelic copy number variation encompassing a GC gene enhancer is associated with mastitis resistance in dairy cattle

In utero origin of myelofibrosis presenting in adult monozygotic twins

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease


ENCODE ChIP-seq pipeline

Base-resolution models of transcription factor binding reveal soft motif syntax

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

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

YAP/TAZ drives cell proliferation and tumour growth via a polyamine-eIF5A hypusination-LSD1 axis

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

Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements

The long noncoding RNA Malat1 regulates CD8+ T cell differentiation by mediating epigenetic repression

Genome-wide CRISPR-Cas9 screen identified KLF11 as a druggable suppressor for sarcoma cancer stem cells

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

SALL1 enforces microglia-specific DNA binding and function of SMADs to establish microglia identity


Versatile open-source tool for microbiome analysis

VSEARCH: a versatile open source tool for metagenomics

Swarm v2: highly-scalable and high-resolution amplicon clustering

A New Approach to Modify Plant Microbiomes and Traits by Introducing Beneficial Bacteria at Flowering into Progeny Seeds

PIPITS: an automated pipeline for analyses of fungal internal transcribed spacer sequences from the Illumina sequencing platform

Treatment of Active Crohn’s Disease With an Ordinary Food-based Diet That Replicates Exclusive Enteral Nutrition

Deciphering rhizosphere microbiome assembly of wild and modern common bean (Phaseolus vulgaris) in native and agricultural soils from Colombia

Needle in a haystack? A comparison of eDNA metabarcoding and targeted qPCR for detection of the great crested newt (Triturus cristatus)

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

INC-Seq: accurate single molecule reads using nanopore sequencing

Active microorganisms thrive among extremely diverse communities in cloud water


Satip contains the code necessary for retrieving, transforming and storing EUMETSAT data


CCN-lite, a lightweight implementation of the CCNx protocol and its variations

Content Delivery Latency of Caching Strategies for Information-Centric IoT

INetCEP: In-Network Complex Event Processing for Information-Centric Networking

Symposium on Architectures for Networking and Communications Systems


Automated Characterization of Health Information at Large-scale Longitudinal Evidence Systems (ACHILLES) - descriptive statistics about a OMOP CDM database

Towards Implementation of OMOP in a German University Hospital Consortium

Increasing trust in real-world evidence through evaluation of observational data quality

A new paradigm for accelerating clinical data science at Stanford Medicine

The natural history of symptomatic COVID-19 during the first wave in Catalonia

A Comparison of Data Quality Assessment Checks in Six Data Sharing Networks

eGEMs (Generating Evidence & Methods to improve patient outcomes)

The natural history of symptomatic COVID-19 in Catalonia, Spain: a multi-state model including 109,367 outpatient diagnoses, 18,019 hospitalisations, and 5,585 COVID-19 deaths among 5,627,520 people

Linking a Consortium-Wide Data Quality Assessment Tool with the MIRACUM Metadata Repository

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

Learning important common data elements from shared study data: The All of Us program analysis

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation


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

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

How social learning amplifies moral outrage expression in online social networks

Unsupervised User Stance Detection on Twitter

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

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

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

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

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

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

Arabic Fake News Detection: Comparative Study of Neural Networks and Transformer-Based Approaches

Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia


An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion

Cones 2: Customizable Image Synthesis with Multiple Subjects

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

Fill-Up: Balancing Long-Tailed Data with Generative Models

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models

Is This Loss Informative? Faster Text-to-Image Customization by Tracking Objective Dynamics

EASI-Tex: Edge-Aware Mesh Texturing from Single Image


DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

Pseudo Numerical Methods for Diffusion Models on Manifolds

PortaSpeech: Portable and High-Quality Generative Text-to-Speech

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

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

Learning the Beauty in Songs: Neural Singing Voice Beautifier

FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 17

An Investigation of Time-Frequency Representation Discriminators for High-Fidelity Vocoders


Python wrapper for the PubChem PUG REST API.

webchem: An R Package to Retrieve Chemical Information from the Web

MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter

Neural Networks in the Design of Molecules with Affinity to Selected Protein Domains

International journal of molecular sciences

DeepsmirUD: Prediction of Regulatory Effects on microRNA Expression Mediated by Small Molecules Using Deep Learning

ReactXT: Understanding Molecular "Reaction-ship" via Reaction-Contextualized Molecule-Text Pretraining

Accurate Prediction of Free Solvation Energy of Organic Molecules via Graph Attention Network and Message Passing Neural Network from Pairwise Atomistic Interactions

Artificial Intelligence in Decrypting Cytoprotective Activity under Oxidative Stress from Molecular Structure


NVIDIA's Deep Imagination Team's PyTorch Library

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder

SceneDreamer: Unbounded 3D Scene Generation from 2D Image Collections

medigan: a Python library of pretrained generative models for medical image synthesis

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation

Search Spaces for Neural Model Training

DF40: Toward Next-Generation Deepfake Detection


Making Protein Design accessible to all via Google Colab!

Protein Sequence and Structure Co-Design with Equivariant Translation

Solubility-Aware Protein Binding Peptide Design Using AlphaFold

PDB-Struct: A Comprehensive Benchmark for Structure-based Protein Design

Computational design of soluble and functional membrane protein analogues


Count bases in BAM/CRAM files

Canine SARS-CoV-2 infection

Personalized RNA neoantigen vaccines stimulate T cells in pancreatic cancer

Spatial intratumoral heterogeneity and temporal clonal evolution in esophageal squamous cell carcinoma

Genomic and Transcriptomic Determinants of Therapy Resistance and Immune Landscape Evolution during Anti-EGFR Treatment in Colorectal Cancer

Circulating tumour cells from patients with colorectal cancer have cancer stem cell hallmarks in ex vivo culture

Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing

The evolution of lung cancer and impact of subclonal selection in TRACERx

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

Neoantigen quality predicts immunoediting in survivors of pancreatic cancer

Multiplex PCR and Next Generation Sequencing for the Non-Invasive Detection of Bladder Cancer


a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

TurboTransformers: An Efficient GPU Serving System For Transformer Models

Scale-out Systolic Arrays


Species Presence/Absence R Trends Analyses

Widespread losses of pollinating insects in Britain

An operational workflow for producing periodic estimates of species occupancy at national scales

Biological reviews/Biological reviews of the Cambridge Philosophical Society

Fast Bayesian inference for large occupancy datasets

Fast Bayesian inference for large occupancy data sets, using the Polya-Gamma scheme


Tools for building power systems optimization problems

Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks

Scalable Preconditioning of Block-Structured Linear Algebra Systems using ADMM

Cost Attribution And Risk-Averse Unit Commitment In Power Grids Using
  Integrated Gradient


Grid2Op a testbed platform to model sequential decision making in power systems.

Reinforcement Learning for Selective Key Applications in Power Systems: Recent Advances and Future Challenges

Learning to run a Power Network Challenge: a Retrospective Analysis

Reinforcement Learning for Electricity Network Operation

Exploring grid topology reconfiguration using a simple deep reinforcement learning approach

Learning to run a power network with trust

PowerGym: A Reinforcement Learning Environment for Volt-Var Control in Power Distribution Systems

Deep Reinforcement Learning-Based Approach for Autonomous Power Flow Control Using Only Topology Changes

Power Grid Congestion Management via Topology Optimization with AlphaZero

Curriculum Based Reinforcement Learning of Grid Topology Controllers to Prevent Thermal Cascading

Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agents


An optimized graphs package for the Julia programming language

Single-cell transcriptomics reveals multi-step adaptations to endocrine therapy

Julia language in machine learning: Algorithms, applications, and open issues

Tree! I am no Tree! I am a Low Dimensional Hyperbolic Embedding

Matrix Depot: an extensible test matrix collection for Julia

Towards Differential Privacy for Symbolic Systems

NetworkDynamics.jl-Composing and simulating complex networks in Julia

Chaos An Interdisciplinary Journal of Nonlinear Science

Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Computational Solutions Based on Bayesian Networks to Hierarchize and to Predict Factors Influencing Gender Fairness in the Transport System: Four Use Cases

Zenodo (CERN European Organization for Nuclear Research)


Protocol Buffers - Google's data interchange format

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

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

Unikraft: Fast, Specialized Unikernels the Easy Way

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

A Survey on Data Compression Methods for Biological Sequences

Scalable federated machine learning with FEDn

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

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

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

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

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization


Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

Beyond English-Centric Multilingual Machine Translation

Multilingual Translation with Extensible Multilingual Pretraining and Finetuning

Collecting a Large-Scale Gender Bias Dataset for Coreference Resolution and Machine Translation

The Effect of Domain and Diacritics in Yorùbá-English Neural Machine Translation.

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

Translate, then Parse! A strong baseline for Cross-Lingual AMR Parsing

The Eval4NLP 2023 Shared Task on Prompting Large Language Models as Explainable Metrics

Towards Explainable Evaluation Metrics for Natural Language Generation

RuCoLA: Russian Corpus of Linguistic Acceptability

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction


A tool to identify CLIP-seq peaks

Rbfox2 controls autoregulation in RNA-binding protein networks

PureCLIP: capturing target-specific protein–RNA interaction footprints from single-nucleotide CLIP-seq data

HNRNPA1 promotes recognition of splice site decoys by U2AF2 in vivo

DDX5 promotes oncogene C3 and FABP1 expressions and drives intestinal inflammation and tumorigenesis

Scalable and deep profiling of mRNA targets for individual microRNAs with chimeric eCLIP

Multiplexed transcriptome discovery of RNA-binding protein binding sites by antibody-barcode eCLIP

MicroRNA-335-5p suppresses voltage-gated sodium channel expression and may be a target for seizure control

Genomewide m6A mapping uncovers dynamic changes in the m6A epitranscriptome of cisplatin-treated apoptotic HeLa cells

A functional screen of RNA binding proteins identifies genes that promote or limit the accumulation of CD138+ plasma cells

Master Transcription Factor Reprogramming Unleashes Selective Translation Promoting Castration Resistance and Immune Evasion in Lethal Prostate Cancer


MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

COLLAPSE: A representation learning framework for identification and characterization of protein structural sites

Learning Harmonic Molecular Representations on Riemannian Manifold

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk

Programmable RNA base editing with photoactivatable CRISPR-Cas13

Genome-scale annotation of protein binding sites via language model and geometric deep learning

Broadening the phenotypic and molecular spectrum of FINCA syndrome: Biallelic NHLRC2 variants in 15 novel individuals

European journal of human genetics : EJHG

Evaluating representation learning on the protein structure universe

GPSFun: geometry-aware protein sequence function predictions with language models


Exome sequencing of 20,791 cases of type 2 diabetes and 24,440 controls

Mapping and characterization of structural variation in 17,795 human genomes

Systematic single-variant and gene-based association testing of thousands of phenotypes in 394,841 UK Biobank exomes

Transcript expression-aware annotation improves rare variant interpretation

Estimating the selective effects of heterozygous protein-truncating variants from human exome data

MetaPlotR: a Perl/R pipeline for plotting metagenes of nucleotide modifications and other transcriptomic sites

Medical relevance of protein-truncating variants across 337,205 individuals in the UK Biobank study

CardioClassifier: disease- and gene-specific computational decision support for clinical genome interpretation

Genetics in medicine : official journal of the American College of Medical Genetics

Whole-genome sequencing of 1,171 elderly admixed individuals from Brazil

Rare Protein-Truncating Variants in APOB, Lower Low-Density Lipoprotein Cholesterol, and Protection Against Coronary Heart Disease.

Circulation. Genomic and precision medicine


A Python package for working with electrochemical impedance data


Julia interface for Reading from the Earth System Datacube


Towards Learning Universal Hyperparameter Optimizers with Transformers

Pre-trained Gaussian Processes for Bayesian Optimization

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.


Data parallel C++ mathematical object library

Hadronic Light-by-Light Scattering Contribution to the Muon Anomalous Magnetic Moment from Lattice QCD

Grid: A next generation data parallel C++ QCD library

Status and future perspectives for lattice gauge theory calculations to the exascale and beyond

Proton decay matrix elements on the lattice at physical pion mass

Theoretical aspects of quantum electrodynamics in a finite volume with periodic boundary conditions

Multi-Grid Lanczos

Near-conformal dynamics in a chirally broken system

Nonperturbative determination of β functions for SU(3) gauge theories with 10 and 12 fundamental flavors using domain wall fermions

Gradient flow step-scaling function for SU(3) with ten fundamental flavors

Lattice QCD Calculation of the Pion Mass Splitting


WaveGAN: Learn to synthesize raw audio with generative adversarial networks

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis

Adversarial Generation of Time-Frequency Features with application in audio synthesis

Latent Translation: Crossing Modalities by Bridging Generative Models

The Devil Is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models

Neural Synthesis of Footsteps Sound Effects with Generative Adversarial Networks

Neural Granular Sound Synthesis


[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once"

Segment Anything

LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing

Improving Existing Segmentators Performance with Zero-Shot Segmentators

Improving Referring Image Segmentation using Vision-Aware Text Features


AutoML tools chain

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

CurveLane-NAS: Unifying Lane-Sensitive Architecture Search and Adaptive Point Blending

Neural Architecture Generator Optimization

VEGA: Towards an End-to-End Configurable AutoML Pipeline

An Asymptotically Optimal Multi-Armed Bandit Algorithm and Hyperparameter Optimization


Image-to-Image Translation in PyTorch

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Strong-Weak Distribution Alignment for Adaptive Object Detection

Deep MR to CT Synthesis using Unpaired Data

Democratising deep learning for microscopy with ZeroCostDL4Mic

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

On Data Augmentation for GAN Training

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Detecting GAN generated Fake Images using Co-occurrence Matrices

nucleAIzer: A Parameter-free Deep Learning Framework for Nucleus Segmentation Using Image Style Transfer

Dual Contrastive Learning for Unsupervised Image-to-Image Translation

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation


GraphVite: A General and High-performance Graph Embedding System

Graph Neural Networks: A Review of Methods and Applications

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

LibKGE - A knowledge graph embedding library for reproducible research

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

Benchmark and Best Practices for Biomedical Knowledge Graph Embeddings

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Cleora: A Simple, Strong and Scalable Graph Embedding Scheme

PGB: A PubMed Graph Benchmark for Heterogeneous Network Representation Learning

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics


Neural Collaborative Filtering

Neural Collaborative Filtering

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Neural Collaborative Filtering vs. Matrix Factorization Revisited

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Conference on Information and Knowledge Management

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Sequential Scenario-Specific Meta Learner for Online Recommendation

Attentive Aspect Modeling for Review-aware Recommendation

Meta Matrix Factorization for Federated Rating Predictions


Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

Colorful Image Colorization

OpenAGI: When LLM Meets Domain Experts

Image Colorization: A Survey and Dataset

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Formal-LLM: Integrating Formal Language and Natural Language for
  Controllable LLM-based Agents


A toolbox of scene text super-resolution and recognition

Scene Text Telescope: Text-Focused Scene Image Super-Resolution

Zero-Shot Chinese Character Recognition with Stroke-Level Decomposition

Text Gestalt: Stroke-Aware Scene Text Image Super-Resolution

Chinese Character Recognition with Augmented Character Profile Matching

Proceedings of the 30th ACM International Conference on Multimedia

Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning

Scene Text Segmentation with Text-Focused Transformers

Proceedings of the 31st ACM International Conference on Multimedia

Orientation-Independent Chinese Text Recognition in Scene Images

EAFormer: Scene Text Segmentation with Edge-Aware Transformers


Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

Soft Actor-Critic Algorithms and Applications

Better Exploration with Optimistic Actor-Critic

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment

CKNet: A Convolutional Neural Network Based on Koopman Operator for Modeling Latent Dynamics from Pixels

Measuring and Harnessing Transference in Multi-Task Learning

Empirical Design in Reinforcement Learning

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Distillation Policy Optimization


Differentiable Vector Graphics Rasterization

Differentiable vector graphics rasterization for editing and learning

Neural Style Transfer for Vector Graphics

SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive
  Canvas Layout

PICASSO: A Feed-Forward Framework for Parametric Inference of CAD Sketches via Rendering Self-Supervision


Debugging, monitoring and visualization for Python Machine Learning and Data Science

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

VizSeq: A Visual Analysis Toolkit for Text Generation Tasks

Empirical Methods in Natural Language Processing

A System for Real-Time Interactive Analysis of Deep Learning Training

PROCEEDINGS OF THE ACM SIGCHI SYMPOSIUM ON ENGINEERING INTERACTIVE COMPUTING SYSTEMS (EICS'19)


An extension of xarray for climate data analysis on structured grids.


A library to model multivariate data using copulas.

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Inference and Sampling for Archimax Copulas

Generative Forests


Reference implementation and documentation of a LoRa network node.

A Dual Key-Based Activation Scheme for Secure LoRaWAN

Wireless Communications and Mobile Computing

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

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

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review

LoRaWAN with HSM as a Security Improvement for Agriculture Applications

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

Low-Power Wide-Area Network Design


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

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

Bulletin of the American Meteorological Society

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

Quarterly Journal of the Royal Meteorological Society

Improving the blend of multiple weather forecast sources by Reliability Calibration


TiDB - the open-source, cloud-native, distributed SQL database designed for modern applications.

Blockchains vs. Distributed Databases: Dichotomy and Fusion

RULF: Rust Library Fuzzing via API Dependency Graph Traversal

Blockchains and Distributed Databases: a Twin Study.

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Hero: On the Chaos When PATH Meets Modules

CERT: Finding Performance Issues in Database Systems Through the Lens of Cardinality Estimation

Coo: Consistency Check for Transactional Databases


adapter trimmer for Oxford Nanopore reads

Circulating SARS-CoV-2 spike N439K variants maintain fitness while evading antibody-mediated immunity

SARS-CoV-2 is transmitted via contact and via the air between ferrets

Mobile antibiotic resistome in wastewater treatment plants revealed by Nanopore metagenomic sequencing

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

Somatic mutations and cell identity linked by Genotyping of Transcriptomes

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

The gut microbiota prime systemic antiviral immunity via the cGAS-STING-IFN-I axis.

Cartography of opportunistic pathogens and antibiotic resistance genes in a tertiary hospital environment

T-cell dysfunction in the glioblastoma microenvironment is mediated by myeloid cells releasing interleukin-10

mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species


PixelNeRF Official Repository

pixelNeRF: Neural Radiance Fields from One or Few Images

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images

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

PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis


Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)

Matterport3D: Learning from RGB-D Data in Indoor Environments

Visual Language Maps for Robot Navigation

Generating 3D People in Scenes without People

Bird's-Eye-View Scene Graph for Vision-Language Navigation

Vision-language navigation: a survey and taxonomy

RGB-D Odometry and SLAM

Leveraging Large Language Model-based Room-Object Relationships
  Knowledge for Enhancing Multimodal-Input Object Goal Navigation


An open source library for face detection in images. The face detection speed can reach 1000FPS.

Feature refinement: An expression-specific feature learning and fusion method for micro-expression recognition

HEU Emotion: a large-scale database for multimodal emotion recognition in the wild

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Detect Faces Efficiently: A Survey and Evaluations

IEEE Transactions on Biometrics, Behavior, and Identity Science

YuNet: A Tiny Millisecond-level Face Detector

Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation

PersonRank: Detecting Important People in Images

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition

MER 2024: Semi-Supervised Learning, Noise Robustness, and Open-Vocabulary Multimodal Emotion Recognition

Automated assessment of grating acuity in infants and toddlers using an eye-tracking system


Key/Value Datastore for Persistent Memory

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

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

A High-Performance Persistent Memory Key-Value Store with Near-Memory Compute

WITCHER : Detecting Crash Consistency Bugs in Non-volatile Memory
  Programs

NearPM: A Near-Data Processing System for Storage-Class Applications

InK: In-Kernel Key-Value Storage with Persistent Memory


Uplift modeling and causal inference with machine learning algorithms

Causal Effect Inference with Deep Latent-Variable Models

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

A Survey on Causal Inference

Adapting Neural Networks for the Estimation of Treatment Effects

CausalML: Python Package for Causal Machine Learning

A Unified Survey of Treatment Effect Heterogeneity Modelling and Uplift Modelling

Surgical or percutaneous coronary revascularization for heart failure: an in silico model using routinely collected health data to emulate a clinical trial

Causal Learning for Socially Responsible AI

A unified survey of treatment effect heterogeneity modeling and uplift modeling

Causal inference in drug discovery and development


Making Protein folding accessible to all!

ColabFold - Making protein folding accessible to all

Structural basis for ATG9A recruitment to the ULK1 complex in mitophagy initiation

Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci

A hyperpromiscuous antitoxin protein domain for the neutralization of diverse toxin domains

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

From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2

Cell type-specific delivery by modular envelope design

Open-Source Machine Learning in Computational Chemistry

Journal of chemical information and modeling

Phosphoregulation of DSB-1 mediates control of meiotic double-strand break activity

Mechanism of ribosome-associated mRNA degradation during tubulin autoregulation

TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system


Graphs for Everyone

ATOM: Commit Message Generation Based on Abstract Syntax Tree and Hybrid Ranking

A comprehensive study of bloated dependencies in the Maven ecosystem

neuPrint: Analysis Tools for EM Connectomics

CORE: Automating Review Recommendation for Code Changes

An automatically created novel bug dataset and its validation in bug prediction

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation

Towards Learning Instantiated Logical Rules from Knowledge Graphs

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data

Towards a catalog of composite refactorings

GDsmith: Detecting Bugs in Graph Database Engines


LPIPS metric. pip install lpips

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

NeX: Real-time View Synthesis with Neural Basis Expansion

FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization

Erasing Concepts from Diffusion Models

Positional Normalization

The Spatially-Correlative Loss for Various Image Translation Tasks

LayoutDiffusion: Controllable Diffusion Model for Layout-to-image Generation

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Consistent View Synthesis with Pose-Guided Diffusion Models

A Closer Look at Few-shot Image Generation


A research project for natural language generation, containing the official implementations by MSRA NLC team.

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Text Generation with Diffusion Language Models: A Pre-training Approach with Continuous Paragraph Denoise

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

TESS: Text-to-Text Self-Conditioned Simplex Diffusion

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

Socratic Question Generation: A Novel Dataset, Models, and Evaluation

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

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine

Topic-Guided Abstractive Text Summarization: a Joint Learning Approach


Python package for running hydrological models


CLD3 is a neural network model for language identification.

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

mT5: A massively multilingual pre-trained text-to-text transformer

No Language Left Behind: Scaling Human-Centered Machine Translation

Crosslingual Generalization through Multitask Finetuning

DataComp: In search of the next generation of multimodal datasets

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

AraT5: Text-to-Text Transformers for Arabic Language Generation

Building Machine Translation Systems for the Next Thousand Languages

Wattpad as a resource for literary studies. Quantitative and qualitative examples of the importance of digital social reading and readers’ comments in the margins


Train learned optimizers in Jax.

Gradients are Not All You Need

Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies

VeLO: Training Versatile Learned Optimizers by Scaling Up

evosax: JAX-based Evolution Strategies

Practical tradeoffs between memory, compute, and performance in learned optimizers

A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases

Transformer-Based Learned Optimization

Learning to Optimize for Reinforcement Learning

Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies


ECDH and ECDSA for 8-bit, 32-bit, and 64-bit processors.

A Novel Certificateless Signature Scheme for Smart Objects in the Internet-of-Things

Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones

Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Mobile Energy Requirements of the Upcoming NIST Post-Quantum Cryptography Standards

IoD-Crypt: A Lightweight Cryptographic Framework for Internet of Drones

Design, Analysis, and Experimental Evaluation of a New Secure Rejoin Mechanism for LoRaWAN Using Elliptic-Curve Cryptography

MUP: Simplifying Secure Over-The-Air Update with MQTT for Constrained IoT Devices

Performance Analysis of Secure Elements for IoT

Energy-Aware Digital Signatures for Embedded Medical Devices


RPi Meteor Station

The Winchcombe fireball—That lucky survivor

Computing optical meteor flux using global meteor network data

Monthly notices of the Royal Astronomical Society

Direct measurement of decimetre-sized rocky material in the Oort cloud

Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems


Read excel files (.xls and .xlsx) into R

Monocyte Trafficking and Polarization Contribute to Sex Differences in Meta-Inflammation

Hypophosphatemia Due to Increased Effector Cell Metabolic Activity Is Associated with Neurotoxicity Symptoms in CD19-Targeted CAR T-cell Therapy

Human Fis1 directly interacts with Drp1 in an evolutionarily conserved manner to promote mitochondrial fission

bioRxiv : the preprint server for biology

Scalable RT‐LAMP‐based SARS‐CoV‐2 testing for infection surveillance with applications in pandemic preparedness

Early detection of soluble CD27, BTLA, and TIM-3 predicts the development of nosocomial infection in pediatric burn patients

The Use of a Replicating Virus Vector For in Planta Generation of Tobacco Mosaic Virus Nanorods Suitable For Metallization

Frontiers in bioengineering and biotechnology

Climate change conditions the selection of rust-resistant candidate wild lentil populations for in situ conservation

Public Knowledge and Attitude towards Vitiligo: A Cross-Sectional Survey in Jordan

International journal of environmental research and public health

Development of a Decision Support System for the Management of Mummy Berry Disease in Northwestern Washington

Evolution and diversification of the momilactone biosynthetic gene cluster in the genusOryza


A self-supervised learning framework for audio-visual speech

Learning Audio-Visual Speech Representation by Masked Multimodal Cluster Prediction

Robust Self-Supervised Audio-Visual Speech Recognition

u-HuBERT: Unified Mixed-Modal Speech Pretraining And Zero-Shot Transfer to Unlabeled Modality

Learning Lip-Based Audio-Visual Speaker Embeddings with AV-HuBERT

Relaxed Attention for Transformer Models

Detecting Deepfakes Without Seeing Any


Systematic dataset of Covid-19 policy, from Oxford University

A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker)

Collectivism predicts mask use during COVID-19

COVID-19 open source data sets: a comprehensive survey

A global analysis of the impact of COVID-19 stay-at-home restrictions on crime

Risk Attitudes and Human Mobility during the COVID-19 Pandemic

Explaining the homogeneous diffusion of COVID-19 nonpharmaceutical interventions across heterogeneous countries

Understanding the effectiveness of government interventions against the resurgence of COVID-19 in Europe

Effects of COVID-19 lockdown on global air quality and health

Mathematical Modeling of Epidemic Diseases; A Case Study of the COVID-19 Coronavirus

HIT-COVID, a global database tracking public health interventions to COVID-19


Retina blood vessel segmentation with a convolutional neural network

U-Net: Convolutional Networks for Biomedical Image Segmentation

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Sequential vessel segmentation via deep channel attention network

Neural networks : the official journal of the International Neural Network Society

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population

Progressive Generative Adversarial Networks for Medical Image Super resolution

Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension

A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry

Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels

Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach


Worldwide building footprints derived from satellite imagery

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States

Building Coverage Estimation with Low-resolution Remote Sensing Imagery

A global product of fine-scale urban building height based on spaceborne lidar

GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling

Rapid subsidence in the Kathmandu Valley recorded using Sentinel-1 InSAR


tiktoken is a fast BPE tokeniser for use with OpenAI's models.

The Llama 3 Herd of Models

Qwen Technical Report

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

ExpeL: LLM Agents Are Experiential Learners

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All
  Tools

Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

InternLM2 Technical Report

Can Generative Pre-trained Transformers (GPT) Pass Assessments in Higher Education Programming Courses?

Undetectable Watermarks for Language Models


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

Recent advances and applications of deep learning methods in materials science

Democratising deep learning for microscopy with ZeroCostDL4Mic

ZeroCostDL4Mic: an open platform to use Deep-Learning in Microscopy

Opportunities and challenges for deep learning in cell dynamics research

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

CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

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

Optical microscopic imaging, manipulation, and analysis methods for morphogenesis research

ZeroCostDL4Mic - Stardist example training and test dataset

Zenodo (CERN European Organization for Nuclear Research)

Stardist model and training dataset for automated tracking of MDA-MB-231 and BT20 cells


100 numpy exercises (with solutions)

DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation

Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation


ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

Chatlaw: A Multi-Agent Collaborative Legal Assistant with Knowledge Graph Enhanced Mixture-of-Experts Large Language Model

Large Language Models in Law: A Survey

AviationGPT: A Large Language Model for the Aviation Domain

Exploring the Nexus of Large Language Models and Legal Systems: A Short
  Survey


Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Automated Concatenation of Embeddings for Structured Prediction

Building a PubMed knowledge graph

Probing Biomedical Embeddings from Language Models

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction

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

Inexpensive Domain Adaptation of Pretrained Language Models: Case Studies on Biomedical NER and Covid-19 QA

Clinical Reading Comprehension: A Thorough Analysis of the emrQA Dataset

A pre-training and self-training approach for biomedical named entity recognition


An open data collection and source catalog for gamma-ray astronomy

The H.E.S.S. Galactic plane survey

Gamma-sky.net: Portal to the gamma-ray sky

Gammapy: present status and future roadmap

A data-driven evaluation of Fermi-LAT extrapolation schemes to the VHE regime.

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

A gamma-ray study of galactic PeVatron candidates LHAASO J1825-1326 and LHAASO J1839-0545


Software that can generate photos from paintings,  turn horses into zebras,  perform style transfer, and more.

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

Harmonic Unpaired Image-to-image Translation

Imperfect ImaGANation: Implications of GANs Exacerbating Biases on Facial Data Augmentation and Snapchat Selfie Lenses

Cycle-Consistent Counterfactuals by Latent Transformations

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields

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

Investigating the Performance of Generative Adversarial Networks for Prostate Tissue Detection and Segmentation


Application and Python module for average nucleotide identity analyses of microbes.

Genomics and taxonomy in diagnostics for food security: soft-rotting enterobacterial plant pathogens

New CRISPR–Cas systems from uncultivated microbes

Revisiting the taxonomy and evolution of pathogenicity of the genus Leptospira through the prism of genomics

The Pseudomonas aeruginosa Pan-Genome Provides New Insights on Its Population Structure, Horizontal Gene Transfer, and Pathogenicity

Viromes of one year old infants reveal the impact of birth mode on microbiome diversity

Discovery and characterization of a prevalent human gut bacterial enzyme sufficient for the inactivation of a family of plant toxins

Chronicle of a Soil Bacterium: Paenibacillus polymyxa E681 as a Tiny Guardian of Plant and Human Health

Probiotic Potential and Safety Evaluation of Enterococcus faecalis OB14 and OB15, Isolated From Traditional Tunisian Testouri Cheese and Rigouta, Using Physiological and Genomic Analysis

Molecular Keys to the Janthinobacterium and Duganella spp. Interaction with the Plant Pathogen Fusarium graminearum

Alternative strategies of nutrient acquisition and energy conservation map to the biogeography of marine ammonia-oxidizing archaea


An open-source toolbox for action understanding based on PyTorch

Temporal Action Detection with Structured Segment Networks

Temporal Segment Networks for Action Recognition in Videos

Temporal Pyramid Network for Action Recognition

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

Omni-sourced Webly-supervised Learning for Video Recognition

Unsupervised Visual Representation Learning by Tracking Patches in Video

Clothing Insulation Rate and Metabolic Rate Estimation for Individual Thermal Comfort Assessment in Real Life

Probing the State of the Art: A Critical Look at Visual Representation Evaluation

AutoVideo: An Automated Video Action Recognition System


TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding

Computation-efficient Deep Learning for Computer Vision: A Survey

Challenges and Obstacles Towards Deploying Deep Learning Models on Mobile Devices

UGC: Unified GAN Compression for Efficient Image-to-Image Translation

Automation Slicing and Testing for in-App Deep Learning Models


pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation"  https://arxiv.org/abs/1612.00593

Laser-Based People Detection and Obstacle Avoidance for a Hospital Transport Robot

InOR-Net: Incremental 3-D Object Recognition Network for Point Cloud Representation

Duodepth: Static Gesture Recognition Via Dual Depth Sensors

International Conference on Information Photonics

Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations

Gesture Recognition with Keypoint and Radar Stream Fusion for Automated Vehicles

Crystal structure identification with 3D convolutional neural networks
  with application to high-pressure phase transitions in SiO_2


A machine learning tool for fishing entities

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

Covid-on-the-Web: Exploring the COVID-19 scientific literature through visualization of linked data from entity and argument mining

Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction

The Kairntech Sherpa – An ML Platform and API for the Enrichment of (not only) Scientific Content

Annotating Entities with Fine-Grained Types in Austrian Court Decisions


Non-uniform fast Fourier transform library of types 1,2,3 in dimensions 1,2,3

A parallel non-uniform fast Fourier transform library based on an "exponential of semicircle" kernel

MR-MOTUS: model-based non-rigid motion estimation for MR-guided radiotherapy using a reference image and minimal k-space data

Efficient wide-field radio interferometry response

Continuous window functions for NFFT

Fast Ewald summation for Stokes flow with arbitrary periodicity

A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution

Global displacement induced by rigid motion simulation during MRI acquisition

A New Version of the Adaptive Fast Gauss Transform for Discrete and Continuous Sources

Improving Power Spectral Estimation using Multitapering: Precise asteroseismic modeling of stars, exoplanets, and beyond


The Python ensemble sampling toolkit for affine-invariant MCMC

emcee: The MCMC Hammer

Publications of the Astronomical Society of the Pacific

Helium in the eroding atmosphere of an exoplanet

A temperate rocky super-Earth transiting a nearby cool star

A rocky planet transiting a nearby low-mass star

On the detection of a cosmic dawn signal in the radio background

Multiwavelength analysis for interferometric (sub-)mm observations of protoplanetary disks - Radial constraints on the dust properties and the disk structure

Strong dependence of Type Ia supernova standardization on the local specific star formation rate

An extended hydrogen envelope of the extremely hot giant exoplanet KELT-9b

An absolute sodium abundance for a cloud-free 'hot Saturn' exoplanet

A candidate super-Earth planet orbiting near the snow line of Barnard's star


Randomized testing for Go

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

HFContractFuzzer: Fuzzing Hyperledger Fabric Smart Contracts for Vulnerability Detection

Testing RESTful APIs: A Survey

Static Race Detection and Mutex Safety and Liveness for Go Programs (extended version)

REST API Fuzzing by Coverage Level Guided Blackbox Testing

Configuring Test Generators using Bug Reports: A Case Study of GCC Compiler and Csmith

K-CONFIG: Using Failing Test Cases to Generate Test Cases in GCC Compilers


Ryu component-based software defined networking framework

Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT

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

An SDN-based Approach For Defending Against Reflective DDoS Attacks

Scalable Deep Reinforcement Learning-Based Online Routing for Multi-Type Service Requirements

IEEE Transactions on Parallel and Distributed Systems

A New Intelligent Cross-Domain Routing Method in SDN Based on a Proposed Multiagent Reinforcement Learning Algorithm

Secure Route-Obfuscation Mechanism with Information-Theoretic Security for Internet of Things

SDT: A Low-cost and Topology-reconfigurable Testbed for Network Research

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

A low workload operation method for SDN switch replacement that prevents wiring mistakes


OpenMMLab Semantic Segmentation Toolbox and Benchmark.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Dual Attention Network for Scene Segmentation

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Deep High-Resolution Representation Learning for Visual Recognition

CCNet: Criss-Cross Attention for Semantic Segmentation

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

Unified Perceptual Parsing for Scene Understanding


A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning

Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

Multi-Organ Segmentation Using a Low-Resource Architecture


Detect 6-DOF grasp poses in point clouds

Grasp Pose Detection in Point Clouds

High precision grasp pose detection in dense clutter

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping


Astraea: A Decentralized Blockchain Oracle

Blockchain for Cities—A Systematic Literature Review

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

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains

Blockchain Consensus Algorithms: A Survey

SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies

End-to-End Formal Verification of Ethereum 2.0 Deposit Smart Contract

An experiment in distributed Internet address management using blockchains

Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts

A Simple Single Slot Finality Protocol For Ethereum


A framework for distributed systems verification, with fault injection

Elle: Inferring Isolation Anomalies from Experimental Observations

On the Complexity of Checking Transactional Consistency

Enhancing Failure Propagation Analysis in Cloud Computing Systems

Frisbee: A Suite for Benchmarking Systems Recovery

Proceedings of the 1st Workshop on High Availability and Observability of Cloud Systems

ThorFI: A Novel Approach for Network Fault Injection as a Service

A Framework for Consistency Algorithms

ViSearch: Weak Consistency Measurement for Replicated Data Types

Smart Casual Verification of the Confidential Consortium Framework

Event-Driven Testing For Edge Applications


Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

The Kinetics Human Action Video Dataset

Local-Global Video-Text Interactions for Temporal Grounding

Audio-Visual Scene-Aware Dialog

Video-based surgical skill assessment using 3D convolutional neural networks

International journal of computer assisted radiology and surgery

VideoMix: Rethinking Data Augmentation for Video Classification

Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation

Spatio-temporal Features for Generalized Detection of Deepfake Videos

TTPP: Temporal Transformer with Progressive Prediction for Efficient Action Anticipation

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective


Tag your nature photos with iNat taxonomy and observation metadata