cowplot: Streamlined Plot Theme and Plot Annotations for ggplot2

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

DeepC: predicting 3D genome folding using megabase-scale transfer learning

NanoAmpli-Seq: a workflow for amplicon sequencing for mixed microbial communities on the nanopore sequencing platform

No Evidence That Frontal Eye Field tDCS Affects Latency or Accuracy of Prosaccades

Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints

The Distribution and Spread of Susceptible and Resistant Neisseria gonorrhoeae Across Demographic Groups in a Major Metropolitan Center

Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Screening and Identification of Potential Biomarkers in Hepatitis B Virus-Related Hepatocellular Carcinoma by Bioinformatics Analysis

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


Phonetisaurus G2P

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset,
  task and baselines

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

Design Challenges in Named Entity Transliteration

Exploration of End-to-End ASR for OpenSTT -- Russian Open Speech-to-Text Dataset

Assisting Maritime Search and Rescue (SAR) Personnel with AI-Based Speech Recognition and Smart Direction Finding

Journal of marine science and engineering

The THUEE System Description for the IARPA OpenASR21 Challenge

Dealing with dialectal variation in the construction of the Basque historical corpus

Workshop on NLP for Similar Languages, Varieties and Dialects

Towards Turkish ASR: Anatomy of a rule-based Turkish g2p


Text-Prompted Generative Audio Model

AudioLM: A Language Modeling Approach to Audio Generation

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT
  Beyond Language

A Review of Deep Learning Techniques for Speech Processing

WavJourney: Compositional Audio Creation with Large Language Models

Vec-Tok Speech: speech vectorization and tokenization for neural speech
  generation

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

MRecGen: Multimodal Appropriate Reaction Generator

Enhancing the Stability of LLM-based Speech Generation Systems through
  Self-Supervised Representations


A 256-RISC-V-core system with low-latency access into shared L1 memory.

Assessment of Reinforcement Learning for Macro Placement

MemPool-3D: Boosting Performance and Efficiency of Shared-L1 Memory Many-Core Clusters with 3D Integration

MemPool: A Scalable Manycore Architecture With a Low-Latency Shared L1 Memory

Spatz: A Compact Vector Processing Unit for High-Performance and
  Energy-Efficient Shared-L1 Clusters

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale
  Complex IP Blocks


FedJAX is a JAX-based open source library for Federated Learning simulations that emphasizes ease-of-use in research.

Communication-Efficient Learning of Deep Networks from Decentralized Data

A Field Guide to Federated Optimization

FedJAX: Federated learning simulation with JAX

Communication-Efficient Agnostic Federated Averaging

FLIX: A Simple and Communication-Efficient Alternative to Local Methods in Federated Learning

On Noisy Evaluation in Federated Hyperparameter Tuning


Generate Diverse Counterfactual Explanations for any machine learning model.

Counterfactual Explanations without Opening the Black Box: Automated
  Decisions and the GDPR

Explaining Machine Learning Classifiers through Diverse Counterfactual Explanations

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Multi-Objective Counterfactual Explanations

Preserving Causal Constraints in Counterfactual Explanations for Machine Learning Classifiers

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Counterfactual Explanations Can Be Manipulated

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

National Conference on Artificial Intelligence

Verifying Individual Fairness in Machine Learning Models

Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice

Explainable AI meets Healthcare: A Study on Heart Disease Dataset


QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation

Are Graph Augmentations Necessary? Simple Graph Contrastive Learning for
  Recommendation

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Socially-Aware Self-Supervised Tri-Training for Recommendation

Modelling High-Order Social Relations for Item Recommendation

Multi-faceted Trust-based Collaborative Filtering

User Modeling, Adaptation, and Personalization

Robust Preference-Guided Denoising for Graph based Social Recommendation

With a Little Help from My Friends (and Their Friends): Influence Neighborhoods for Social Recommendations

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

Private Hierarchical Clustering in Federated Networks

Motifs-based recommender system via hypergraph convolution and contrastive learning


Creative Commons Attribution 4.0 International

Data formats for gamma-ray astronomy

Open high-level data formats and software for gamma-ray astronomy

H.E.S.S. first public test data release

Evolution of Data Formats in Very-High-Energy Gamma-Ray Astronomy

Standardisation of Data Formats in Gamma-ray Astronomy


Examples of Ontop in related publications and tutorials

Efficient Handling of SPARQL OPTIONAL for OBDA

Beyond OWL 2 QL in OBDA: Rewritings and Approximations

OBDA Constraints for Effective Query Answering

How to Stay Ontop of Your Data: Databases, Ontologies and More

SEMANTIC WEB: ESWC 2015 SATELLITE EVENTS

Mapping Patterns for Virtual Knowledge Graphs

Cost-Driven Ontology-Based Data Access (Extended Version)


Monte Carlo Simulation propagating charged Leptons through Media as C++ Library

PROPOSAL: A library to propagate leptons and high energy photons

A C++ Cherenkov photons simulation in CORSIKA 8

The effect of improved high-energy muon cross-sections


ns-3 module for simulating mmWave-based cellular systems. See https://ieeexplore.ieee.org/document/8344116/ (open access) as a reference.

End-to-End Simulation of 5G mmWave Networks

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Improved Handover Through Dual Connectivity in 5G mmWave Mobile Networks

IEEE journal on selected areas in communications

Modeling and Design of Millimeter-Wave Networks for Highway Vehicular Communication

5G mmWave Module for ns-3 Network Simulator

ns-3 Implementation of the 3GPP MIMO Channel Model for Frequency Spectrum above 6 GHz

A Framework for End-to-End Evaluation of 5G mmWave Cellular Networks in ns-3

TCP dynamics over mmwave links

Caching-Aided Collaborative D2D Operation for Predictive Data Dissemination in Industrial IoT

Analytical TCP Model for Millimeter-Wave 5G NR Systems in Dynamic Human Body Blockage Environment

Routing Protocols Performance in Mobile Ad-Hoc Networks Using Millimeter Wave


Nextstrain build for mpox virus

First two cases of Monkeypox virus infection in travellers returned from UAE to India, July 2022

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

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

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

Intra‐ and interhost genomic diversity of monkeypox virus


A Julia/JuMP Package for Gas Network Optimization

Graph-Based Modeling and Decomposition of Energy Infrastructures

Operation of Natural Gas Pipeline Networks With Storage Under Transient Flow Conditions

IEEE transactions on control systems technology

Robust Gas Pipeline Network Expansion Planning to Support Power System Reliability

Demand Response Analogues for Residential Loads in Natural Gas Networks

Natural Gas Maximal Load Delivery for Multi-contingency Analysis


Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Dense Passage Retrieval for Open-Domain Question Answering

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Generate rather than Retrieve: Large Language Models are Strong Context
  Generators

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Retrieval-Augmented Generation for Large Language Models: A Survey

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

Relevance-guided Supervision for OpenQA with ColBERT

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval


Free boundary Grad-Shafranov solver

TokaMaker: An open-source time-dependent Grad-Shafranov tool for the design and modeling of axisymmetric fusion devices


ABCpy package

Approximate Bayesian Computation in Evolution and Ecology

Annual review of ecology, evolution, and systematics

An adaptive sequential Monte Carlo method for approximate Bayesian computation

Estimation of Parameters for Macroparasite Population Evolution Using Approximate Bayesian Computation

Bayesian Synthetic Likelihood

SBI -- A toolkit for simulation-based inference

Adaptive approximate Bayesian computation for complex models

Likelihood-free inference via classification

Approximate Bayesian computation with the Wasserstein distance

Journal of the Royal Statistical Society. Series B, Statistical methodology

Approximate Bayesian Computation by Subset Simulation

ELFI: Engine for Likelihood-Free Inference


Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

A Guide on Deep Learning for Complex Trait Genomic Prediction

Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction

Phenotype Prediction and Genome-Wide Association Study Using Deep Convolutional Neural Network of Soybean

Predicting the impact of non-coding variants on DNA methylation

Prediction of Drug-Likeness Using Deep Autoencoder Neural Networks

CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations

C-RNNCrispr: Prediction of CRISPR/Cas9 sgRNA activity using convolutional and recurrent neural networks

Computational and structural biotechnology journal

Predicting and characterizing a cancer dependency map of tumors with deep learning

Gait recognition via deep learning of the center-of-pressure trajectory


Installer for D-Wave's Ocean tools

Support vector machines on the D-Wave quantum annealer

International Geoscience and Remote Sensing Symposium

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems

Investigating the Chinese Postman Problem on a Quantum Annealer

Vacancies in graphene: an application of adiabatic quantum optimization

Physical chemistry chemical physics/PCCP. Physical chemistry chemical physics

Unbalanced penalization: A new approach to encode inequality constraints
  of combinatorial problems for quantum optimization algorithms

Semi-supervised time series classification method for quantum computing

Quantum Machine Intelligence/Quantum machine intelligence

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial
  Intelligence

Quantum support vector machines for aerodynamic classification

Accurate Computation of Relativistic Excitation Energies Using Quantum
  Annealing

Ising formulations for two-dimensional cutting stock problem with setup cost.


Generative Models by Stability AI

Elucidating the Design Space of Diffusion-Based Generative Models

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

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

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

Adversarial Diffusion Distillation

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


Explaining the output of machine learning models with more accurately estimated Shapley values

Explaining individual predictions when features are dependent: More accurate approximations to Shapley values

SurvSHAP(t): Time-dependent explanations of machine learning survival models

groupShapley: Efficient prediction explanation with Shapley values for feature groups.


InternLM-XComposer2 is a groundbreaking vision-language large model (VLLM) excelling in free-form text-image composition and comprehension.

ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

InternLM-XComposer: A Vision-Language Large Model for Advanced
  Text-image Comprehension and Composition

InternLM-XComposer2: Mastering Free-form Text-Image Composition and
  Comprehension in Vision-Language Large Model

DualFocus: Integrating Macro and Micro Perspectives in Multi-modal Large
  Language Models


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

Parliament2: Accurate structural variant calling at scale

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

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

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


Deep learning library for digital pathology, with both Tensorflow and PyTorch support.

Uncertainty-Informed Deep Learning Models Enable High-Confidence
  Predictions for Digital Histopathology

Deep learning generates synthetic cancer histology for explainability and education

Slideflow: Deep Learning for Digital Histopathology with Real-Time
  Whole-Slide Visualization

Data augmentation and multimodal learning for predicting drug response in patient-derived xenografts from gene expressions and histology images


tools for adding mutations to existing .bam files, used for testing mutation callers

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

The journey to the end of the chromosome: delivering active telomerase to telomeres in plants

The Plant journal : for cell and molecular biology

Retrotransposition of gene transcripts leads to structural variation in mammalian genomes

The genetic basis of natural variation in C. elegans telomere length

Genome-wide somatic variant calling using localized colored de Bruijn graphs

Cpipe: a shared variant detection pipeline designed for diagnostic settings

RADIA: RNA and DNA Integrated Analysis for Somatic Mutation Detection

A comparison of humans and baboons suggests germline mutation rates do not track cell divisions

Natural Variation in the Distribution and Abundance of Transposable Elements Across the Caenorhabditis elegans Species

A community effort to create standards for evaluating tumor subclonal reconstruction


A  collection of research materials on explainable AI/ML

Explainable AI: Interpreting, Explaining and Visualizing Deep Learning

Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges

Explainable Machine Learning in Deployment

Visualizations of Deep Neural Networks in Computer Vision: A Survey

TRANSPARENT DATA MINING FOR BIG AND SMALL DATA

Trends in Explainable AI (XAI) Literature


Data access library for the MeerKAT radio telescope

Analysis of physical processes in eruptive YSOs with near-infrared spectra and multiwavelength light curves

The 1.28 GHz MeerKAT Galactic Center Mosaic

MeerKAT Primary-beam Measurements in the L Band

kern

Shakespeare and National Identity : A Dictionary

MeerKAT's discovery of a radio relic in the bimodal merging cluster A2384

Monthly Notices of the Royal Astronomical Society

Multi-dimensional radio frequency interference framework for characterizing radio astronomy observatories

Simultaneous X-ray and radio observations of the transitional millisecond pulsar candidate CXOU J110926.4-650224. The discovery of a variable radio counterpart

MeerKAT follow-up of enigmatic GLEAM 4-Jy (G4Jy) sources

Mining mini-halos with MeerKAT I. Calibration and imaging

The discovery of a z=0.7092 OH megamaser with the MIGHTEE survey


Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddings

Text Transformations in Contrastive Self-Supervised Learning: A Review

Hardware-agnostic Computation for Large-scale Knowledge Graph Embeddings

Kronecker Decomposition for Knowledge Graph Embeddings

Clifford Embeddings - A Generalized Approach for Embedding in Normed Algebras

Machine Learning and Knowledge Discovery in Databases: Research Track


python Toolbox for the Evaluation of Soil Moisture Observations


An instance of KG Hub to produce a knowledge graph for COVID-19 response.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

bioRxiv : the preprint server for biology

CODO: An Ontology for Collection and Analysis of Covid-19 Data

PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KEOD), VOL 2

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

Biolink Model: A Universal Schema for Knowledge Graphs in Clinical,
  Biomedical, and Translational Science

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

Healthcare knowledge graph construction: A systematic review of the state-of-the-art, open issues, and opportunities

Does tetanus vaccination contribute to reduced severity of the COVID-19 infection?

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

KG-Hub -- Building and Exchanging Biological Knowledge Graphs

ROC: An Ontology for Country Responses towards COVID-19


Flatiron Institute Fast Multipole Libraries --- This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in three dimensions, on a multi-core shared-memory machine.

Randomized Compression of Rank-Structured Matrices Accelerated with
  Graph Coloring

A fast boundary integral method for high-order multiscale mesh generation

Debye source representation for type-I superconductors, I.

FMM-accelerated solvers for the Laplace-Beltrami problem on complex
  surfaces in three dimensions

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

Modeling transcranial magnetic stimulation coil with magnetic cores

3D Interface Models for Rayleigh-Taylor Problems

Example of Steady-State Electric-Current Modeling of a Complicated Cellular Topology with Boundary Element Fast Multipole Method


TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

TorchSparse: Efficient Point Cloud Inference Engine

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution

IEEE transactions on pattern analysis and machine intelligence

TorchSparse++: Efficient Point Cloud Engine

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

CenterAtt: Fast 2-stage Center Attention Network

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs


Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Denoising Diffusion Probabilistic Models

Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding

U2-Net: Going deeper with nested U-structure for salient object detection

Elucidating the Design Space of Diffusion-Based Generative Models

UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-Wise Perspective with Transformer

MaxViT: Multi-Axis Vision Transformer

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

Analog Bits: Generating Discrete Data using Diffusion Models with
  Self-Conditioning

Perception Prioritized Training of Diffusion Models

SparseFusion: Distilling View-Conditioned Diffusion for 3D Reconstruction


PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.

From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt
  Learning

Relation Extraction as Open-book Examination: Retrieval-enhanced Prompt Tuning

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

Contrastive Demonstration Tuning for Pre-trained Language Models

Editing Language Model-based Knowledge Graph Embeddings

LambdaKG: A Library for Pre-trained Language Model-Based Knowledge Graph
  Embeddings

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce


Open-source and strong foundation image recognition models.

Recognize Anything: A Strong Image Tagging Model

Tag2Text: Guiding Vision-Language Model via Image Tagging

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

Open-Set Image Tagging with Multi-Grained Text Supervision


software for creating speech recognition models.

User-friendly automatic transcription of low-resource languages: Plugging ESPnet into Elpis

Applications of Natural Language Processing in Bilingual Language Teaching: An Indonesian-English Case Study

Workshop on Innovative Use of NLP for Building Educational Applications

Automated speech recognition of Indonesian-English language lessons on YouTube using transfer learning

Proceedings of the Second Workshop on NLP Applications to Field Linguistics


Software-Defined GPS Signal Simulator

Use of Supervised Machine Learning for GNSS Signal Spoofing Detection with Validation on Real-World Meaconing and Spoofing Data—Part I †

On GPS spoofing of aerial platforms: a review of threats, challenges, methodologies, and future research directions

Satellite-based communications security: A survey of threats, solutions, and research challenges

Spotr: GPS Spoofing Detection via Device Fingerprinting

Hijacking Unmanned Aerial Vehicle by Exploiting Civil GPS Vulnerabilities Using Software-defined Radio

Relay/replay attacks on GNSS signals

Road Traffic Poisoning of Navigation Apps: Threats and Countermeasures

GPS Spoofing Mitigation and Timing Risk Analysis in Networked PMUs via Stochastic Reachability

Cryptography Is Not Enough: Relay Attacks on Authenticated GNSS Signals

Low-Cost GNSS Simulators With Wireless Clock Synchronization for Indoor Positioning


A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

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

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

Ten simple rules and a template for creating workflows-as-applications

Integration of Structured Biological Data Sources using Biological Expression Language

Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face

Councils in Action: Automating the Curation of Municipal Governance Data for Research

FAIR AI Models in High Energy Physics

mlf-core: a framework for deterministic machine learning


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

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Definitions, methods, and applications in interpretable machine learning

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

Supersparse linear integer models for optimized medical scoring systems

Scalable Bayesian Rule Lists

Learning Optimized Risk Scores

imodels: a python package for fitting interpretable models

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

Fast Interpretable Greedy-Tree Sums

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

Probabilistic Dataset Reconstruction from Interpretable Models


microbiome R package

The gut microbiota plays a protective role in the host defence against pneumococcal pneumonia

microViz: an R package for microbiome data visualization and statistics

Comparison of Small Gut and Whole Gut Microbiota of First-Degree Relatives With Adult Celiac Disease Patients and Controls

Influences of Climate on Phyllosphere Endophytic Bacterial Communities of Wild Poplar

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Transport to the Slaughterhouse Affects the Salmonella Shedding and Modifies the Fecal Microbiota of Finishing Pigs

Animals : an open access journal from MDPI

Key Factors Governing Microbial Community in Extremely Acidic Mine Drainage (pH <3)

Composition of cutaneous bacterial microbiome in seborrheic dermatitis patients: A cross-sectional study

Fecal microbiota composition associates with the capacity of human peripheral blood monocytes to differentiate into immunogenic dendritic cells in vitro

Additional Resistant Starch from One Potato Side Dish per Day Alters the Gut Microbiota but Not Fecal Short-Chain Fatty Acid Concentrations


simona is an agent-based discrete-event power system simulation model developed @ie3-institute


A large annotated semantic parsing corpus for developing natural language interfaces.

Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning

SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Deep Reinforcement Learning For Sequence to Sequence Models

A Comprehensive Exploration on WikiSQL with Table-Aware Word
  Contextualization

Natural Language Processing Advancements By Deep Learning: A Survey

Deep Learning for Source Code Modeling and Generation

Semantic Parsing with Syntax- and Table-Aware SQL Generation

Hybrid Ranking Network for Text-to-SQL

Question Generation from SQL Queries Improves Neural Semantic Parsing

SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising


GalSim based Rubin Observatory image simulation package

The LSST DESC DC2 Simulated Sky Survey

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

MIRISim: A Simulator for the Mid-Infrared Instrument on JWST

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

Monthly notices of the Royal Astronomical Society

SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

Image simulations for strong and weak gravitational lensing

Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies

A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey


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


Use DNN to study the brain and use brain measurement to evaluate DNN

DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains

Semantic Relatedness Emerges in Deep Convolutional Neural Networks Designed for Object Recognition

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks

An Overview of Open Source Deep Learning-Based Libraries for Neuroscience


MHKiT-Python provides the marine renewable energy (MRE) community tools for data processing, visualization, quality control, resource assessment, and device performance.


A starter agent that can solve a number of universe environments.

Asynchronous Methods for Deep Reinforcement Learning

Value Prediction Network

Feature Control as Intrinsic Motivation for Hierarchical Reinforcement Learning

IEEE transactions on neural networks and learning systems

Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning


micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below

An Open MRI Dataset For Multiscale Neuroscience

Micapipe: A pipeline for multimodal neuroimaging and connectome analysis

BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Topographic divergence of atypical cortical asymmetry and atrophy patterns in temporal lobe epilepsy

Atypical intrinsic neural timescales in temporal lobe epilepsy


A graphical processor simulator and assembly editor for the RISC-V ISA

A RISC-V SystemC-TLM simulator


Hydrological modeling


A Python interface to map GRIB files to the NetCDF Common Data Model following the CF Convention using ecCodes

OpenForecast v2: Development and Benchmarking of the First National-Scale Operational Runoff Forecasting System in Russia


SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech
  Recognition


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

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


displays multiple genomic sequences in the form of a tube map

Sequence tube maps: making graph genomes intuitive to commuters

MoMI-G: modular multi-scale integrated genome graph browser

Fully-sensitive seed finding in sequence graphs using a hybrid index

Describing the Local Structure of Sequence Graphs


cluster data collected from production clusters in Alibaba for cluster management research

Learning Scheduling Algorithms for Data Processing Clusters

TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory

From Cloud to Edge: A First Look at Public Edge Platforms

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study

Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE transactions on network and service management/IEEE eTransactions on network and service management

Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

ThermoSim: Deep learning based framework for modeling and simulation of thermal-aware resource management for cloud computing environments

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

In Search of a Fast and Efficient Serverless DAG Engine

A Deep Reinforcement Learning Approach to the Optimization of Data Center Task Scheduling


High-performance simulator of quantum circuits

Intel Quantum Simulator: a cloud-ready high-performance simulator of quantum circuits

Evaluation of Intel Memory Drive Technology Performance for Scientific Applications

PROCEEDINGS OF WORKSHOP ON MEMORY CENTRIC HIGH PERFORMANCE COMPUTING (MCHPC'18)

Evaluation of Quantum Approximate Optimization Algorithm based on the approximation ratio of single samples.

Secure quantum computing for healthcare sector: A short analysis

Fast simulation of quantum algorithms using circuit optimization


Landscape Metrics for Categorical Map Patterns  in R


Albacore is a professional quality suite of Rake tasks for building .NET or Mono based systems.

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Long-fragment targeted capture for long read sequencing of plastomes

Complete Genome Sequence of the Novel Cellulolytic, Anaerobic, Thermophilic Bacterium Herbivorax saccincola Type Strain GGR1, Isolated from a Lab Scale Biogas Reactor as Established by Illumina and Nanopore MinION Sequencing

Anaerobic oxidation of propane coupled to nitrate reduction by a lineage within the class Symbiobacteriia

Real-time, MinION-based, amplicon sequencing for lineage typing of infectious bronchitis virus from upper respiratory samples

Mobile Plasmid Mediated Transition From Colistin-Sensitive to Resistant Phenotype in Klebsiella pneumoniae

Complete Plastome of Three Korean Asarum (Aristolochiaceae): Confirmation Tripartite Structure within Korean Asarum and Comparative Analyses

Zenodo (CERN European Organization for Nuclear Research)

Draft Genome Sequence of the Lactococcus lactis 11/19-B1 Strain, Isolated from Kiwifruit


A package for capturing and analyzing network flow data and intraflow data, for network research, forensics, and security monitoring.

Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning

Real Network Traffic Collection and Deep Learning for Mobile App Identification

Wireless communications and mobile computing

OS Fingerprinting: New Techniques and a Study of Information Gain and
  Obfuscation

Towards Network Anomaly Detection Using Graph Embedding

Revisiting IoT Device Identification

Neurosymbolic Systems of Perception & Cognition: The Role of Attention

Unsupervised Detection and Clustering of Malicious TLS Flows

Traffic Analytics Development Kits (TADK): Enable Real-Time AI Inference in Networking Apps

International Conference on Ubiquitous and Future Networks

Tweaking Metasploit to Evade Encrypted C2 Traffic Detection

Network Traffic Classification based on Single Flow Time Series Analysis


Hyper-parameter optimization for sklearn

Benchmark and Survey of Automated Machine Learning Frameworks

Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn

Proceedings of the Python in Science Conferences

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


Open-source foundation of the user-sponsored PyMOL molecular visualization system.

Highly accurate protein structure prediction with AlphaFold

SARS-CoV-2 B.1.617 Mutations L452R and E484Q Are Not Synergistic for Antibody Evasion

The journal of infectious diseases (Online. University of Chicago Press)/The Journal of infectious diseases

Alpha-Synuclein defects autophagy by impairing SNAP29-mediated autophagosome-lysosome fusion

Machine Learning Coarse-Grained Potentials of Protein Thermodynamics

Thermostable designed ankyrin repeat proteins (DARPins) as building blocks for innovative drugs

Identifying Primate ACE2 Variants That Confer Resistance to SARS-CoV-2

Sequence-structure-function relationships in the microbial protein universe

mRNA lipid nanoparticle phase transition

Functionalization of Bacterial Microcompartment Shell Proteins With Covalently Attached Heme

Frontiers in bioengineering and biotechnology

A Bioinspired Peptide in TIR Protein as Recognition Molecule on Electrochemical Biosensors for the Detection of E. coli O157:H7 in an Aqueous Matrix


AutoDock Vina

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

Journal of chemical information and modeling

ChemTSv2: Democratizing Functional Molecular Design Using de novo Molecule Generator

Wiley interdisciplinary reviews. Computational molecular science

Discovery of Potential Inhibitors of SARS-CoV-2 Main Protease by a Transfer Learning Method


PYNIDM: a Python NIDM library and tools

Open and reproducible neuroimaging: From study inception to publication

FAIR human neuroscientific data sharing to advance AI driven research and applications: Legal frameworks and missing metadata standards


This R package can be used to compile and evaluate Water Quality Portal (WQP) data for samples collected from surface water monitoring sites on streams and lakes. It can be used to create applications that support water quality programs and help states, tribes, and other stakeholders efficiently analyze the data.


The windpowerlib is a library to model the output of wind turbines and farms.

A Novel Power Curve Prediction Method for Horizontal-Axis Wind Turbines Using Artificial Neural Networks


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

High Performance Data Engineering Everywhere

Data Engineering for HPC with Python

High Performance Dataframes from Parallel Processing Patterns

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

Hybrid Cloud and HPC Approach to High-Performance Dataframes


Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

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

GraRep: Learning Graph Representations with Global Structural Information

International Conference on Information and Knowledge Management

Asymmetric Transitivity Preserving Graph Embedding

Network Representation Learning with Rich Text Information

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Community Preserving Network Embedding

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE

WSDM - Overlapping community detection at scale: a nonnegative matrix factorization approach

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

graph2vec: Learning Distributed Representations of Graphs

Multi-scale Attributed Node Embedding


MLPerf™  Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers

Benchmarking TinyML Systems: Challenges and Direction

MLPerf Tiny Benchmark

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

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


icclim: Python library for climate indices and climate indicators calculation.

Access to Analysis and Climate Indices Tools for Climate Researchers and End Users

icclim: Calculating Climate Indices and Indicators Made Easy


Collaborative editing in any app

Real Differences between OT and CRDT in Correctness and Complexity for Consistency Maintenance in Co-Editors

Proceedings of the ACM on human-computer interaction

Real Differences between OT and CRDT under a General Transformation Framework for Consistency Maintenance in Co-Editors

Real Differences between OT and CRDT in Building Co-Editing Systems and Real World Applications.

Real Differences between OT and CRDT for Co-Editors


General technology for enabling AI capabilities w/ LLMs and MLLMs

Why Can GPT Learn In-Context? Language Models Implicitly Perform
  Gradient Descent as Meta-Optimizers

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

Optimizing Prompts for Text-to-Image Generation

Knowledge Distillation of Large Language Models

Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Adapting Large Language Models via Reading Comprehension

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation

Inference with Reference: Lossless Acceleration of Large Language Models

Learning to Retrieve In-Context Examples for Large Language Models

Large Language Model for Science: A Study on P vs. NP


Haplotype VCF comparison tools

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

THE GENERATIVE APPROACH TO SLA AND ITS PLACE IN MODERN SECOND LANGUAGE STUDIES

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

The Contribution of Mosaic Variants to Autism Spectrum Disorder

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Benchmarking challenging small variants with linked and long reads

Semi-automated assembly of high-quality diploid human reference genomes

Systematic comparison of germline variant calling pipelines cross multiple next-generation sequencers

Systematic comparison of somatic variant calling performance among different sequencing depth and mutation frequency


adegenet: a R package for the multivariate analysis of genetic markers

A fast likelihood solution to the genetic clustering problem

Geography and Environment Shape Landscape Genetics of Mediterranean Alpine Species Silene ciliata Poiret. (Caryophyllaceae)

Taraxacum kok-saghyz (rubber dandelion) genomic microsatellite loci reveal modest genetic diversity and cross-amplify broadly to related species

The Structure of Genetic Diversity in Eelgrass (Zostera marina L.) along the North Pacific and Bering Sea Coasts of Alaska

Carnivores, competition and genetic connectivity in the Anthropocene

Genetic Diversity and Population Structure Analysis of the USDA Olive Germplasm Using Genotyping-By-Sequencing (GBS)

Genetic trajectories of zebra and quagga mussel invasions across three decades: Lake Erie versus Hudson River populations

Intronic primers reveal unexpectedly high major histocompatibility complex diversity in Antarctic fur seals

Long range gene flow beyond predictions from oceanographic transport in a tropical marine foundation species


line drawing colorization using chainer

Style Transfer for Anime Sketches with Enhanced Residual U-net and Auxiliary Classifier GAN

Comicolorization: Semi-Automatic Manga Colorization

Automatic Temporally Coherent Video Colorization

Reference-guided structure-aware deep sketch colorization for cartoons

LUCSS: Language-based User-customized Colourization of Scene Sketches


LibKGE - A knowledge graph embedding library for reproducible research

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings

International Conference on Learning Representations

Knowledge Graph Embeddings and Explainable AI

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

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

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs

Logical Message Passing Networks with One-hop Inference on Atomic
  Formulas

Unified Interpretation of Softmax Cross-Entropy and Negative Sampling: With Case Study for Knowledge Graph Embedding

μKG: A Library for Multi-source Knowledge Graph Embeddings
  and Applications

Sem@K: Is my knowledge graph embedding model semantic-aware?


A tool to circularize genome assemblies

Diversity of Pectobacteriaceae Species in Potato Growing Regions in Northern Morocco

Comparative genomics in “Candidatus Kuenenia stuttgartiensis” reveal high genomic plasticity in the overall genome structure, CRISPR loci and surface proteins

Complete Genome Sequence of Phascolarctobacterium faecium G 104, Isolated from the Stools of a Healthy Lean Donor

Agarose-Degrading Characteristics of a Deep-Sea Bacterium Vibrio Natriegens WPAGA4 and Its Cold-Adapted GH50 Agarase Aga3420

Complete Genome Sequence of Paradevosia shaoguanensis Type Strain J5-3, Obtained Using Nanopore and Illumina Sequencing Technologies

Genomic Characterization of a Uropathogenic Escherichia coli ST405 Isolate Harboring blaCTX-M-15-Encoding IncFIA-FIB Plasmid, blaCTX-M-24-Encoding IncI1 Plasmid, and Phage-Like Plasmid

Complete Genome Sequences of Two Avilamycin-Resistant Enterococcus faecium Strains Isolated from Chicken in the United States


Privacy Engineering Collaboration Space

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

The journal of privacy and confidentiality

Kamino: Constraint-Aware Differentially Private Data Synthesis

Comparative Study of Differentially Private Synthetic Data Algorithms and Evaluation Standards.


The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing

Bits and pieces: understanding information decomposition from part-whole relationships and formal logic

Proceedings. Mathematical, physical, and engineering sciences

Introducing a differentiable measure of pointwise shared information

Inferring network properties from time series using transfer entropy and
  mutual information: validation of multivariate versus bivariate approaches

Information Theory for Complex Systems Scientists

Quantifying the Predictability of Visual Scanpaths Using Active Information Storage

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory

Understanding Concept Identification as Consistent Data Clustering Across Multiple Feature Spaces


Automated white matter fiber tract identification in patients with brain tumors

Joint Multi-Fiber NODDI Parameter Estimation and Tractography Using the Unscented Information Filter

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep
  Learning Framework with Supervised Contrastive Learning for Consistent
  Tractography Parcellation across Populations and dMRI Acquisitions

Microstructural alterations in medial forebrain bundle are associated with interindividual pain sensitivity

Sex-Related Differences in White Matter Asymmetry and Its Implications for Verbal Working Memory in Psychosis High-Risk State

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

bioRxiv : the preprint server for biology

TractoSCR: A Novel Supervised Contrastive Regression Framework for
  Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion
  MRI Tractography


SPLASH is an interactive visualisation and plotting tool using kernel interpolation, mainly used for Smoothed Particle Hydrodynamics simulations

Gas and star kinematics in cloud-cloud collisions

Monthly notices of the Royal Astronomical Society

Continuing to hide signatures of gravitational instability in protoplanetary discs with planets

Monthly Notices of the Royal Astronomical Society

Kinematic Structures in Planet-Forming Disks


Python Library for Automating Molecular Simulations

Generalization of Intrinsic Orbitals to Kramers-Paired Quaternion Spinors, Molecular Fragments, and Valence Virtual Spinors

Journal of chemical theory and computation

Frequency Range Selection Method for Vibrational Spectra

The journal of physical chemistry letters

Characterization of Excited States in Time-Dependent Density Functional
  Theory Using Localized Molecular Orbitals

Enhancing ReaxFF for Molecular Dynamics Simulations of Lithium-Ion
  Batteries: An interactive reparameterization protocol


Add-On to NGSolve for unfitted finite element discretizations (XFEM, CutFEM, TraceFEM, etc...)

Projection-based reduced order models for a cut finite element method in parametrized domains

Falling balls in a viscous fluid with contact: Comparing numerical simulations with experimental data

A reduced order model for a stable embedded boundary parametrized
  Cahn-Hilliard phase-field system based on cut finite elements

Random geometries for optimal control PDE problems based on fictitious domain FEMs and cut elements

High-order space–time finite element methods for the Poisson–Nernst–Planck equations: Positivity and unconditional energy stability

An Unfitted Finite Element Method for Two-Phase Stokes Problems with Slip Between Phases

Equal Higher Order Analysis of an Unfitted Discontinuous Galerkin Method for Stokes Flow Systems


A PyTorch implementation of EfficientNet

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

EfficientNetV2: Smaller Models and Faster Training

Integer Quantization for Deep Learning Inference: Principles and Empirical Evaluation.

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection

PSLA: Improving Audio Tagging With Pretraining, Sampling, Labeling, and Aggregation

Deep learning-based waste detection in natural and urban environments

Image-Based Wheat Fungi Diseases Identification by Deep Learning

Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images

Automatic Sparse Connectivity Learning for Neural Networks


An intuitive library to extract features from time series.

TSFEL: Time Series Feature Extraction Library

Early classification of time series

Early and Revocable Time Series Classification

IMU-Based Fitness Activity Recognition Using CNNs for Time Series Classification


Cyber Threat Intelligence Repository expressed in STIX 2.0

Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Game-Theoretic Decision Support for Cyber Forensic Investigations

Enhancing the STIX Representation of MITRE ATT&CK for Group Filtering
  and Technique Prioritization

Principled Data-Driven Decision Support for Cyber-Forensic Investigations

A Machine Learning based Empirical Evaluation of Cyber Threat Actors
  High Level Attack Patterns over Low level Attack Patterns in Attributing
  Attacks


An Open-Source Package for Neural Relation Extraction (NRE)

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

Long-tail Relation Extraction via Knowledge Graph Embeddings and Graph Convolution Networks

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction

Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Improving Relation Extraction by Pre-trained Language Representations

Relation Adversarial Network for Low Resource Knowledge Graph Completion

Collaborative Policy Learning for Open Knowledge Graph Reasoning

Representation Learning for Natural Language Processing


TensorFlow code and pre-trained models for BERT

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

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Cross-lingual Language Model Pretraining

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Publicly Available Clinical BERT Embeddings

TinyBERT: Distilling BERT for Natural Language Understanding

How to Fine-Tune BERT for Text Classification?

ERNIE: Enhanced Language Representation with Informative Entities

Pre-trained models for natural language processing: A survey

How multilingual is Multilingual BERT?


[LLVM Static Slicer] Various program analyses, construction of dependence graphs and program slicing of LLVM bitcode.

VulDeeLocator: A Deep Learning-Based Fine-Grained Vulnerability Detector

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing

FirmUSB: Vetting USB Device Firmware using Domain Informed Symbolic Execution

Conference on Computer and Communications Security

Checking is Believing: Event-Aware Program Anomaly Detection in Cyber-Physical Systems

SymPas: Symbolic Program Slicing

SBT-instrumentation: A Tool for Configurable Instrumentation of LLVM
  Bitcode

DG: A program analysis library

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021


Jsmn is a world fastest JSON parser/tokenizer. This is the official repo replacing the old one at Bitbucket

SpecFuzz: Bringing Spectre-type vulnerabilities to the surface

Parsing gigabytes of JSON per second

CACTI: Captcha Avoidance via Client-side TEE Integration


Ghidra is a software reverse engineering (SRE) framework

SoK: All You Ever Wanted to Know About x86/x64 Binary Disassembly But Were Afraid to Ask

Augmenting Decompiler Output with Learned Variable Names and Types

Inferring Input Grammars from Dynamic Control Flow

1-to-1 or 1-to-n? Investigating the effect of function inlining on
  binary similarity analysis

A Formal Semantics for P-Code

Verified Software: Theories, Tools, Experiments

Comparing One with Many -- Solving Binary2source Function Matching Under
  Function Inlining


Python IRF builder

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

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

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


A Python Library for Self Organizing Map (SOM)

Machine Learning in Astronomy: a practical overview

Co-occurrence of Fe and P stress in natural populations of the marine diazotroph Trichodesmium

PS1-STRM: neural network source classification and photometric redshift catalogue for PS1 3π DR1

HORIZON-AGN virtual observatory - 2. Template-free estimates of galaxy properties from colours

Data-Driven Design: Exploring new Structural Forms using Machine Learning and Graphic Statics.

Circulation patterns in the Gulf of Finland from daily to seasonal timescales

Tellus. Series A, Dynamic meteorology and oceanography

Extracting Frequent Sequential Patterns of Forest Landscape Dynamics in Fenhe River Basin, Northern China, from Landsat Time Series to Evaluate Landscape Stability

An Unsupervised Data-Driven Model to Classify Gait Patterns in Children with Cerebral Palsy

SuSi: Supervised Self-Organizing Maps for Regression and Classification
  in Python

Assessment of Astronomical Images Using Combined Machine-learning Models


Balmorel Model

Making the sun shine at night: comparing the cost of dispatchable concentrating solar power and photovoltaics with storage

Energy sources. Part B, Economics, planning, and policy/Energy sources. Part B, Economics, planning and policy

Day-ahead Market Modelling of Large-scale Highly-renewable Multi-energy Systems: Analysis of the North Sea Region Towards 2050

The role of sector coupling in the green transition: A least-cost energy system development in North Europe towards 2050


Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Transformers: State-of-the-Art Natural Language Processing

UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction

Multi hash embeddings in spaCy


Bioinformatic Analysis pipeLine for SomAtic Mutations In Cancer

Genomic profile – a possible diagnostic and prognostic marker in upper tract urothelial carcinoma

Whole-Exome Sequencing of HPV Positive Tonsillar and Base of Tongue Squamous Cell Carcinomas Reveals a Global Mutational Pattern along with Relapse-Specific Somatic Variants


Astrophysics program simulating the evolution of star systems based on the fast multipole method on adaptive Octrees

From Piz Daint to the Stars: Simulation of Stellar Mergers using High-Level Abstractions

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

octo-tiger: a new, 3D hydrodynamic code for stellar mergers that uses hpx parallelization

Accelerating Octo-Tiger: Stellar Mergers on Intel Knights Landing with HPX

From Task-Based GPU Work Aggregation to Stellar Mergers: Turning Fine-Grained CPU Tasks into Portable GPU Kernels

From Merging Frameworks to Merging Stars: Experiences using HPX, Kokkos and SIMD Types

Stellar Mergers with HPX-Kokkos and SYCL: Methods of using an Asynchronous Many-Task Runtime System with SYCL

Betelgeuse as a Merger of a Massive Star with a Companion


Neural Collaborative Filtering

Variational Autoencoders for Collaborative Filtering

Content-based recommendations with Poisson factorization

Scalable Recommendation with Poisson Factorization

Cornac: A Comparative Framework for Multimodal Recommender Systems

Bilateral Variational Autoencoder for Collaborative Filtering

The Simpson's Paradox in the Offline Evaluation of Recommendation Systems

Explainable Recommendation with Comparative Constraints on Product Aspects

MMRec: Simplifying Multimodal Recommendation

Multimodal Recommender Systems: A Survey


Finite DIfference microMAGnetic code, based on Python, Cython and C

Driving magnetic skyrmions with microwave fields

Physical review. B, Condensed matter and materials physics

Binding a hopfion in a chiral magnet nanodisk

Magnon-Driven Domain-Wall Motion with the Dzyaloshinskii-Moriya Interaction

Micromagnetics and spintronics: models and numerical methods

The European physical journal. B, Condensed matter physics/European physical journal. B, Condensed matter and complex systems

Tomorrow’s micromagnetic simulations

Microwave-induced dynamic switching of magnetic skyrmion cores in nanodots

Nanoscale magnetic skyrmions and target states in confined geometries

Fidimag – A Finite Difference Atomistic and Micromagnetic Simulation Package

User interfaces for computational science: A domain specific language for OOMMF embedded in Python

Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii-Moriya interaction


A statically-typed linear functional language with graded modal types for fine-grained program reasoning

Quantitative program reasoning with graded modal types

Proceedings of the ACM on programming languages

Resourceful Program Synthesis from Graded Linear Types

Logic-based Program Synthesis and Transformation

Graded Modal Types for Integrity and Confidentiality


KaHIP -- Karlsruhe HIGH Quality Partitioning.

Parallel Graph Partitioning for Complex Networks

Distributed Evolutionary Graph Partitioning

Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies

Distributed Evolutionary k-way Node Separators

Arc-Flags Meet Trip-Based Public Transit Routing


A distributed hydrological modeling platform

Scaling Point‐Scale (Pedo)transfer Functions to Seamless Large‐Domain Parameter Estimates for High‐Resolution Distributed Hydrologic Modeling: An Example for the Rhine River

The benefits of spatial resolution increase in global simulations of the hydrological cycle evaluated for the Rhine and Mississippi basins

The importance of ecosystem adaptation on hydrological model predictions in response to climate change


PyRoss: inference, forecasts, and optimised control of epidemiological models in Python

Age-structured impact of social distancing on the COVID-19 epidemic in India

Forecasting COVID-19 epidemic in India and high incidence states using SIR and logistic growth models

Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

Applied intelligence (Dordrecht, Netherlands)

A district-level susceptibility and vulnerability assessment of the COVID-19 pandemic's footprint in India

Spatial and spatio-temporal epidemiology

Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19

Modeling Control, Lockdown & Exit Strategies for COVID-19 Pandemic in
  India

COVID-19 disease spread modeling by QSIR method: The parameter optimal control approach

Efficient and flexible methods for simulating models of time since infection

Age Structured Mixture Model for Early COVID-19 Spread: A Zimbabwean Risk Factor Analysis

Journal of contemporary studies in epidemiology and public health


NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone

YOLOX: Exceeding YOLO Series in 2021

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

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

Simultaneously Optimizing Perturbations and Positions for Black-box
  Adversarial Patch Attacks

RTMPose: Real-Time Multi-Person Pose Estimation based on MMPose

A Comprehensive Study of Real-Time Object Detection Networks Across
  Multiple Domains: A Survey

A Lightweight Object Detector Based on Spatial-Coordinate Self-Attention for UAV Aerial Images

Forest Fire Detection via Feature Entropy Guided Neural Network


A compiler and scene generator for the Scenic scenario description language.

Scenic: A Language for Scenario Specification and Scene Generation

Scenic: A Language for Scenario Specification and Data Generation

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI

3D Environment Modeling for Falsification and Beyond with Scenic 3.0


Algorithms for explaining machine learning models

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

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

Drug discovery with explainable artificial intelligence

Interpretable Counterfactual Explanations Guided by Prototypes

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

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Benchmarking and survey of explanation methods for black box models

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

National Conference on Artificial Intelligence

Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review


OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Automatic wildfire monitoring system based on deep learning

Stable LM 2 1.6B Technical Report

An Efficient Sparse Inference Software Accelerator for Transformer-based
  Language Models on CPUs

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using
  MicroTVM

Google Coral-based edge computing person reidentification using human parsing combined with analytical method

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration


Advanced AI Explainability for computer vision.  Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks

Grad-CAM: Why did you say that?

LayerCAM: Exploring Hierarchical Class Activation Maps for Localization

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

Ablation-CAM: Visual Explanations for Deep Convolutional Network via Gradient-free Localization

Eigen-CAM: Class Activation Map using Principal Components

International Joint Conference on Neural Network

Full-Gradient Representation for Neural Network Visualization

Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs

Last Layer Re-Training is Sufficient for Robustness to Spurious
  Correlations


Pan-cancer whole-genome comparison of primary and metastatic solid tumours

Machine learning-based tissue of origin classification for cancer of unknown primary diagnostics using genome-wide mutation features

Codon-specific KRAS mutations predict survival benefit of trifluridine/tipiracil in metastatic colorectal cancer


Generic event data model for HEP collider experiments

Key4hep, a framework for future HEP experiments and its use in FCC

Towards a Turnkey Software Stack for HEP Experiments

EDM4hep and podio - The event data model of the Key4hep project and its implementation

Offline computing resources for FCC-ee and related challenges


Analysis and Visualization of Ribosome Profiling Data

riboviz: analysis and visualization of ribosome profiling datasets

Using prototyping to choose a bioinformatics workflow management system

Exploring Ribosome-Positioning on Translating Transcripts with Ribosome Profiling.

Methods in molecular biology (Clifton, N.J.)

riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow


Image reduction pipeline for the DESI Legacy Imaging Surveys, using the Tractor framework

Overview of the DESI Legacy Imaging Surveys

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

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

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: large-scale structure catalogues and measurement of the isotropic BAO between redshift 0.6 and 1.1 for the Emission Line Galaxy Sample

Monthly Notices of the Royal Astronomical Society

The DESI Bright Galaxy Survey: Final Target Selection, Design, and Validation

Variations in the Width, Density, and Direction of the Palomar 5 Tidal Tails

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

Target Selection and Validation of DESI Emission Line Galaxies

Improving galaxy clustering measurements with deep learning: analysis of the DECaLS DR7 data

Hidden depths in the local Universe: The Stellar Stream Legacy Survey

Characterizing the target selection pipeline for the Dark Energy Spectroscopic Instrument Bright Galaxy Survey


Analysis framework and collection of process-oriented diagnostics for weather and climate simulations

Effects of the Horizontal Scales of the Cloud-Resolving Model on Tropical Cyclones in the Superparameterized Community Atmosphere Model


R interface to many NOAA data APIs


A tool for light curve extraction from the TESS FFIs.

eleanor: An Open-source Tool for Extracting Light Curves from the TESS Full-frame Images

Publications of the Astronomical Society of the Pacific

The μ Tau Association: A 60 Myr Old Coeval Group at 150 pc from the Sun

A search for young exoplanets in Sectors 1-5 of the TESS full-frame images

TOI-3984 A b and TOI-5293 A b: Two Temperate Gas Giants Transiting Mid-M Dwarfs in Wide Binary Systems

TFAW survey - I. Wavelet-based denoising of K2 light curves. Discovery and validation of two new Earth-sized planets in K2 campaign 1

Detection and characterization of planets orbiting oscillating red-giant
  stars with NASA's TESS mission


Battery evaluation and early prediction

Principles of the Battery Data Genome


A python package for FITS input/output wrapping cfitsio

The Dark Energy Survey: Data Release 1

Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology

Stellar Streams Discovered in the Dark Energy Survey

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology

Two Ultra-faint Milky Way Stellar Systems Discovered in Early Data from the DECam Local Volume Exploration Survey

The DECam Local Volume Exploration Survey: Overview and First Data Release

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

Discovery of an Ultra-Faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration (DELVE) Survey

A Faint Halo Star Cluster Discovered in the Blanco Imaging of the Southern Sky Survey


ChainerRL is a deep reinforcement learning library built on top of Chainer.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Rainbow: Combining Improvements in Deep Reinforcement Learning

Deep Reinforcement Learning that Matters


The RMLMapper executes RML rules to generate high quality Linked Data from multiple originally (semi-)structured data sources

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

The Semantic Asset Administration Shell

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Facade-X: an opinionated approach to SPARQL anything

Turning Transport Data to Comply with EU Standards While Enabling a Multimodal Transport Knowledge Graph

Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review

RocketRML - A NodeJS implementation of a use-case specific RML mapper

MapSDI: A Scaled-up Semantic Data Integration Framework for Knowledge Graph Creation

Enhancing virtual ontology based access over tabular data with Morph-CSV

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data
  Sources


Check out the new game server:

Google Research Football: A Novel Reinforcement Learning Environment

Neighborhood Cognition Consistent Multi-Agent Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement
  Learning

From Explicit Communication to Tacit Cooperation:A Novel Paradigm for
  Cooperative MARL

Mimicking To Dominate: Imitation Learning Strategies for Success in
  Multiagent Competitive Games

Learning Multi-Agent Action Coordination via Electing First-Move Agent

Boosting Studies of Multi-Agent Reinforcement Learning on Google
  Research Football Environment: the Past, Present, and Future


PyTorch Extension Library of Optimized Scatter Operations

Fast Graph Representation Learning with PyTorch Geometric

HyGCN: A GCN Accelerator with Hybrid Architecture

Deep Policy Dynamic Programming for Vehicle Routing Problems

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Advances in Geographic Information Systems

Dynamic 3D Scene Analysis by Point Cloud Accumulation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

KALA: Knowledge-Augmented Language Model Adaptation

Composite Style Pixel and Point Convolution-Based Deep Fusion Neural Network Architecture for the Semantic Segmentation of Hyperspectral and Lidar Data

Applying Plain Transformers to Real-World Point Clouds


Viral genome alignment, mutation calling, clade assignment, quality checks and phylogenetic placement

Nextclade: clade assignment, mutation calling and quality control for viral genomes

Zenodo (CERN European Organization for Nuclear Research)

Rapid screening for SARS-CoV-2 variants of concern in clinical and environmental samples using nested RT-PCR assays targeting key mutations of the spike protein

SARS-CoV-2 Reinfection in a Healthcare Worker Despite the Presence of Detectable Neutralizing Antibodies

Rapid SARS-CoV-2 variant monitoring using PCR confirmed by whole genome sequencing in a high-volume diagnostic laboratory

Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology

Real-Time Genomic Surveillance for SARS-CoV-2 Variants of Concern, Uruguay

The structural role of SARS-CoV-2 genetic background in the emergence and success of spike mutations: The case of the spike A222V mutation

Computational Prediction of the Molecular Mechanism of Statin Group of Drugs Against SARS-CoV-2 Pathogenesis

Evolving strategy for an evolving virus: Development of real-time PCR assays for detecting all SARS-CoV-2 variants of concern

Molecular Evolution and Epidemiological Characteristics of SARS COV-2 in (Northwestern) Poland

Geographical Landscape and Transmission Dynamics of SARS-CoV-2 Variants Across India: A Longitudinal Perspective


OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

Detecting Dementia Through Interactive Computer Avatars

IEEE journal of translational engineering in health and medicine

Convolutional Experts Constrained Local Model for Facial Landmark Detection

UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress

IEEE transactions on affective computing

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data

A Socially Adaptable Framework for Human-Robot Interaction


A simple and highly efficient RTS-game-inspired environment for reinforcement learning

StarCraft II: A New Challenge for Reinforcement Learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Combinatorial Multi-armed Bandits for Real-Time Strategy Games

Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

Interpretable Sequence Classification via Discrete Optimization

Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games

Comparing Observation and Action Representations for Deep Reinforcement Learning in MicroRTS.

What Can We Learn Even from the Weakest? Learning Sketches for Programmatic Strategies

Programmatic Strategies for Real-Time Strategy Games

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

A Comparison of Evolutionary and Tree-Based Approaches for Game Feature Validation in Real-Time Strategy Games with a Novel Metric


Visual localization made easy with hloc

SuperGlue: Learning Feature Matching with Graph Neural Networks

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

ISPRS international journal of geo-information

Digging Into Self-Supervised Learning of Feature Descriptors

Improving Feature-based Visual Localization by Geometry-Aided Matching

4Seasons: Benchmarking Visual SLAM and Long-Term Localization for
  Autonomous Driving in Challenging Conditions

Tracking Objects with 3D Representation from Videos

MobileARLoc: On-device Robust Absolute Localisation for Pervasive
  Markerless Mobile AR


Fermi-LAT Python Analysis Framework

Fermipy: An open-source Python package for analysis of Fermi-LAT Data

Gammapy - A prototype for the CTA science tools

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

Testing the dark matter subhalo hypothesis of the gamma-ray source 3FGL J2212.5+0703

MADHAT: Model-Agnostic Dark Halo Analysis Tool

Nonthermal Radiation of the Extreme TeV Blazar 1ES 0229+200 from Electromagnetic Cascades on Infrared Photon Field

K2 Optical Emission from OJ 287 and Other Gamma-Ray Blazars on
  Hours-to-Weeks Timescales from 2014-2018


:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion

Calculated avoidance: Math anxiety predicts math avoidance in effort-based decision-making

Fast and general density peaks clustering

Practical Volume-Based Attacks on Encrypted Databases

Controllable Open-ended Question Generation with A New Question Type Ontology

Preparing Bengali-English Code-Mixed Corpus for Sentiment Analysis of Indian Languages

Named Entity Recognition and Hashtag Decomposition to Improve the Classification of Tweets

International Conference on Computational Linguistics

Differentially Private Histograms in the Shuffle Model from Fake Users

Selecting Seed Words for Wordle using Character Statistics

GPT Perdetry Test: Generating new meanings for new words

North American Chapter of the Association for Computational Linguistics

Fast and Exact Outlier Detection in Metric Spaces: A Proximity Graph-based Approach


Earthquake detection and analysis in Python.

The 2020 Mw 6.5 Monte Cristo Range, Nevada earthquake: relocated seismicity shows rupture of a complete shear-crack system

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence


COIN-OR Branch-and-Cut solver

Checkmate: Breaking the Memory Wall with Optimal Tensor Rematerialization

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks

An efficient genotyper and star-allele caller for pharmacogenomics

ROC++: Robust Optimization in C++

clicSAND for OSeMOSYS: a user-friendly interface using open-source optimisation software for energy system modelling analysis

Preprocessing and cutting planes with conflict graphs

A Three-Stage Model to Manage Energy Communities, Share Benefits and Provide Local Grid Services

Benchmarking Neuromorphic Hardware and Its Energy Expenditure

Optimal Scheduling for Laboratory Automation of Life Science Experiments with Time Constraints

Solar Field Output Temperature Optimization Using a MILP Algorithm and a 0D Model in the Case of a Hybrid Concentrated Solar Thermal Power Plant for SHIP Applications


JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.

Collection of datasets with DNS over HTTPS traffic

Accurate TLS Fingerprinting using Destination Context and Knowledge Bases.

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via
  Siamese Heterogeneous Graph Attention Network

Unsupervised Detection and Clustering of Malicious TLS Flows

Honeypot Implementation in a Cloud Environment

Challenges in Adapting ECH in TLS for Privacy Enhancement over the
  Internet


Identify and quantify MHC eluted peptides from mass spectrometry raw data

The nf-core framework for community-curated bioinformatics pipelines

MHCflurry: open-source class I MHC binding affinity prediction

A Deeper Look into Comet—Implementation and Features

Journal of the American Society for Mass Spectrometry

An Automated Pipeline for High-Throughput Label-Free Quantitative Proteomics

High-Throughput Prediction of MHC Class I and II Neoantigens with MHCnuggets

FRED 2: an immunoinformatics framework for Python

Targeted Feature Detection for Data-Dependent Shotgun Proteomics

MHCquant: Automated and Reproducible Data Analysis for Immunopeptidomics


Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

GloVe: Global Vectors for Word Representation

Empirical Methods in Natural Language Processing

Deep Learning for Sentiment Analysis : A Survey

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

On the Dimensionality of Word Embedding

Equalizing Gender Bias in Neural Machine Translation with Word Embeddings Techniques

Incorporating Glosses into Neural Word Sense Disambiguation

Learning Chinese Word Representations From Glyphs Of Characters

Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification

Local Word Vectors Guiding Keyphrase Extraction

SlotRefine: A Fast Non-Autoregressive Model for Joint Intent Detection and Slot Filling


Provides analysis for the MPAS components of E3SM


Dynamic Nested Sampling package for computing Bayesian posteriors and evidences

Bilby: A User-friendly Bayesian Inference Library for Gravitational-wave Astronomy

How to Measure Galaxy Star Formation Histories. II. Nonparametric Models

Dynamic nested sampling: an improved algorithm for parameter estimation and evidence calculation

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

Monthly notices of the Royal Astronomical Society

An older, more quiescent universe from panchromatic SED fitting of the 3D-HST survey

MOSFiT: Modular Open-Source Fitter for Transients

TESS Full Orbital Phase Curve of the WASP-18b System

The Longest Period TESS Planet Yet: A Sub-Neptune Transiting A Bright, Nearby K Dwarf Star

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


Ensemble of HMM methods (SEPP, TIPP, UPP)

Ultra-large alignments using Phylogeny-aware Profiles

KatharoSeq Enables High-Throughput Microbiome Analysis from Low-Biomass Samples

HIPPI: highly accurate protein family classification with ensembles of HMMs

TIPP2: metagenomic taxonomic profiling using phylogenetic markers

MAGUS+eHMMs: improved multiple sequence alignment accuracy for fragmentary sequences

Air versus Water Chilling of Chicken: a Pilot Study of Quality, Shelf-Life, Microbial Ecology, and Economics

HMMerge: an ensemble method for multiple sequence alignment


Code metrics for Java code by means of static analysis

The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring

Why Developers Refactor Source Code: A Mining-based Study

Mock objects for testing java systems

TaintBench: Automatic real-world malware benchmarking of Android taint analyses

An Exploratory Study of Log Placement Recommendation in an Enterprise System

On the Relationship between Self-Admitted Technical Debt Removals and Technical Debt Measures

Data-Driven Extract Method Recommendations: A Study at ING

E-SC4R: Explaining Software Clustering for Remodularisation

Learning migration models for supporting incremental language migrations of software applications

A pragmatic approach for hyper-parameter tuning in search-based test case generation


Simple HTTP and REST client for Ruby, inspired by microframework syntax for specifying actions.

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

SoK: Taxonomy of Attacks on Open-Source Software Supply Chains

Measuring and Preventing Supply Chain Attacks on Package Managers.


The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Safe and Practical GPU Acceleration in TrustZone

Hierarchical Model Parallelism for Optimizing Inference on Many-core Processor via Decoupled 3D-CNN Structure

ACM transactions on architecture and code optimization

Towards Effective Depthwise Convolutions on ARMv8 Architecture


Evolutionary Scale Modeling (esm): Pretrained language models for proteins

Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Language models enable zero-shot prediction of the effects of mutations on protein function

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

Evolutionary velocity with protein language models

Is Transfer Learning Necessary for Protein Landscape Prediction?

The landscape of tolerated genetic variation in humans and primates

bioRxiv : the preprint server for biology

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

Structure-informed Language Models Are Protein Designers

Updated benchmarking of variant effect predictors using deep mutational scanning

Foundation Models for Natural Language Processing -- Pre-trained
  Language Models Integrating Media


Quantum Gate Language (QGL) is a domain specific language embedded in python for specifying quantum gate sequences.

OpenQASM 3: A broader and deeper quantum assembly language

Bootstrapping quantum process tomography via a perturbative ansatz

Characterizing Midcircuit Measurements on a Superconducting Qubit Using Gate Set Tomography


MILC collaboration code for lattice QCD calculations

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

Lattice QCD Application Development within the US DOE Exascale Computing Project

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

Efficient integration of gradient flow in lattice gauge theory and properties of low-storage commutator-free Lie group methods

SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations

Density of states for gravitational waves

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

Scale setting the Möbius Domain Wall Fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scale w_0


Benchmark datasets, data loaders, and evaluators for graph machine learning

Open Graph Benchmark: Datasets for Machine Learning on Graphs

Do Transformers Really Perform Bad for Graph Representation?

SIGN: Scalable Inception Graph Neural Networks

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

Weisfeiler and Lehman Go Cellular: CW Networks

G-Mixup: Graph Data Augmentation for Graph Classification

Rethinking pooling in graph neural networks

Exploring the Potential of Large Language Models (LLMs) in Learning on
  Graphs

Learning from Counterfactual Links for Link Prediction


N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

Design Space Exploration of Hardware Spiking Neurons for Embedded Artificial Intelligence

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

Compiling Spiking Neural Networks to Neuromorphic Hardware

Languages, Compilers, and Tools for Embedded Systems

Improving Dependability of Neuromorphic Computing With Non-Volatile Memory

DFSynthesizer: Dataflow-based Synthesis of Spiking Neural Networks to Neuromorphic Hardware

SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration

A Systematic Literature Review on Hardware Reliability Assessment Methods for Deep Neural Networks

Evaluation of Convolution Primitives for Embedded Neural Networks on
  32-bit Microcontrollers


Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

Maftools: Efficient analysis, visualization and summarization of MAF files from large-scale cohort based cancer studies

Comprehensive mutational analysis of primary and relapse acute promyelocytic leukemia

Long Non-Coding RNA Profile Study Identifies an Immune-Related lncRNA Prognostic Signature for Kidney Renal Clear Cell Carcinoma

A comprehensive genomic meta-analysis identifies confirmatory role of OBSCN gene in breast tumorigenesis

Correlations Between Tumor Mutation Burden and Immunocyte Infiltration and Their Prognostic Value in Colon Cancer

Validating a targeted next-generation sequencing assay and profiling somatic variants in Chinese non-small cell lung cancer patients

Collision of germline POLE and PMS2 variants in a young patient treated with immune checkpoint inhibitors

Somatic Mutational Profile of High-Grade Serous Ovarian Carcinoma and Triple-Negative Breast Carcinoma in Young and Elderly Patients: Similarities and Divergences

Integrative Analysis Reveals the Landscape of Hypoxia-Inducible Factor (HIF) Family Genes in Pan-Cancer

Pan-cancer analysis of chromothripsis-related gene expression patterns indicates an association with tumor immune and therapeutic agent responses


Heavily optimized library for DEFLATE/zlib/gzip compression and decompression

HTSlib: C library for reading/writing high-throughput sequencing data

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

Parallel decompression of gzip-compressed files and random access to DNA sequences

Improved structural variant discovery in hard-to-call regions using sample-specific string detection from accurate long reads

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling


An Open-source Toolkit for LLM Development

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

LIMA: Less Is More for Alignment

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for
  Multi-modal Large Language Models

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large
  Language Models

Composite Backdoor Attacks Against Large Language Models

TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models


USGS Modular Hydrologic Model


Flexible I/O Tester

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

Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources

A Survey on Edge Performance Benchmarking

OCCAM: a flexible, multi-purpose and extendable HPC cluster

Deterministic, Stash-Free Write-Only ORAM

Hydra: Resilient and Highly Available Remote Memory

CFS: A Distributed File System for Large Scale Container Platforms

Data Structure Primitives on Persistent Memory: An Evaluation

A Robust Fault-Tolerant and Scalable Cluster-Wide Deduplication for Shared-Nothing Storage Systems


A package for the analysis of 1d astronomical spectra, especially quasar and galaxy spectra.

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

Monthly Notices of the Royal Astronomical Society

HST/COS OBSERVATIONS OF IONIZED GAS ACCRETION AT THE DISK-HALO INTERFACE OF M33

Zenodo (CERN European Organization for Nuclear Research)

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

Molecular Emission from a Galaxy Associated with a z ∼ 2.2 Damped Ly α Absorber

Revealing the Milky Way’s Hidden Circumgalactic Medium with the Cosmic Origins Spectrograph Quasar Database for Galactic Absorption Lines

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

Galactic Gas Flows from Halo to Disk: Tomography and Kinematics at the Milky Way's Disk-Halo Interface

A Long Stream of Metal-poor Cool Gas around a Massive Starburst Galaxy at z = 2.67

The CGM-GRB Study. I. Uncovering the Circumgalactic Medium around GRB Hosts at Redshifts 2-6

A VLT/FORS2 Narrowband Imaging Search for Mg ii Emission around z ∼ 0.7 Galaxies


Fine-grained TLS services classification with reject option

Encrypted Web traffic dataset: Event logs and packet traces

Network Traffic Classification based on Single Flow Time Series Analysis


The Atmospheric Radiative Transfer Simulator


Electrophys Feature Extraction Library

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Human Cortical Pyramidal Neurons: From Spines to Spikes via Models

The microcircuits of striatum in silico

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

Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling: The Case of Cerebellar Granule Cells

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows


The tools for your .cool's

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

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

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

Transcription shapes 3D chromatin organization by interacting with loop extrusion

Suppression of liquid-liquid phase separation by 1,6-hexanediol partially compromises the 3D genome organization in living cells

Sister-chromatid-sensitive Hi-C reveals the conformation of replicated human chromosomes

Cooltools: enabling high-resolution Hi-C analysis in Python

Order and stochasticity in the folding of individual Drosophila genomes

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML

Reorganized 3D Genome Structures Support Transcriptional Regulation in Mouse Spermatogenesis


node security platform command-line tool

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Measuring and Preventing Supply Chain Attacks on Package Managers.

Examining the Capacity of Text Mining and Software Metrics in Vulnerability Prediction

Improving Vulnerability Prediction of JavaScript Functions using Process Metrics


Synthetic graph generator for the LDBC Social Network Benchmark, running on Spark

The LDBC Social Network Benchmark

GRADOOP: Scalable Graph Data Management and Analytics with Hadoop

In-Depth Benchmarking of Graph Database Systems with the Linked Data
  Benchmark Council (LDBC) Social Network Benchmark (SNB)

An architectural proposal to explore the data of a private community through visual analytic

Technological Ecosystems for Enhancing Multiculturality

An analysis of the SIGMOD 2014 Programming Contest: Complex queries on
  the LDBC social network graph


We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Qwen Technical Report

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Scaling Relationship on Learning Mathematical Reasoning with Large
  Language Models

An Empirical Study of Instruction-tuning Large Language Models in Chinese

Data-Juicer: A One-Stop Data Processing System for Large Language Models

Towards Better Evaluation of Instruction-Following: A Case-Study in Summarization

SoTaNa: The Open-Source Software Development Assistant


Find duplicate files

MOMENTA: A Multimodal Framework for Detecting Harmful Memes and Their Targets

MEMEX: Detecting Explanatory Evidence for Memes via Knowledge-Enriched Contextualization

Fooling State-of-the-Art Deepfake Detection with High-Quality Deepfakes


中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

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

CLUE: A Chinese Language Understanding Evaluation Benchmark

ChineseBERT: Chinese Pretraining Enhanced by Glyph and Pinyin Information

OCNLI: Original Chinese Natural Language Inference

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge

MarkBERT: Marking Word Boundaries Improves Chinese BERT

Pretraining without Wordpieces: Learning Over a Vocabulary of Millions
  of Words

Generating Adversarial Examples in Chinese Texts Using Sentence-Pieces


Gym Electric Motor (GEM): An OpenAI Gym Environment for Electric Motors

Towards a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control

gym-electric-motor (GEM): A Python toolbox for the simulation of electric drive systems

Meta-Reinforcement-Learning-Based Current Control of Permanent Magnet Synchronous Motor Drives for a Wide Range of Power Classes


smali/baksmali

On the effectiveness of system API-related information for Android ransomware detection

Picking on the family: Disrupting android malware triage by forcing misclassification

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

ACMiner: Extraction and Analysis of Authorization Checks in Android's
  Middleware

Fine-grained Code Coverage Measurement in Automated Black-box Android Testing

You Shall not Repackage! Demystifying Anti-Repackaging on Android

A Systematic Overview of Android Malware Detection

DroidbotX: Test Case Generation Tool for Android Applications Using Q-Learning