R functions to perform and display Google Trends queries

Calibration of Google Trends Time Series

International Conference on Information and Knowledge Management

Real Time Influenza Monitoring Using Hospital Big Data in Combination with Machine Learning Methods: Comparison Study (Preprint)

Using web search queries to monitor influenza-like illness: an exploratory retrospective analysis, Netherlands, 2017/18 influenza season

Monitoring of cherry flowering phenology with Google Trends

Impact of the Coronavirus Disease on Micronutrient Search Trends and Interest in Global Population: A Worldwide Google Trend Analysis

PREPRINT: Using digital epidemiology methods to monitor influenza-like illness in the Netherlands in real-time: the 2017-2018 season

Predicting Day-Ahead Stock Returns using Search Engine Query Volumes: An Application of Gradient Boosted Decision Trees to the S&P 100


The NASA Ames Stereo Pipeline is a suite of automated geodesy & stereogrammetry tools designed for processing planetary imagery captured from orbiting and landed robotic explorers on other planets.

Tree, Shrub, and Grass Classification Using Only RGB Images

Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets

Three-Dimensional Modelling of Past and Present Shahjahanabad through Multi-Temporal Remotely Sensed Data


Construct 1D interior structure models based on planetary properties. Self-consistent thermodynamics are used for fluid, rock, and mineral phases. Sound speeds, attenuation, and electrical conductivities are computed as outputs.

Geophysical Investigations of Habitability in Ice‐Covered Ocean Worlds

Journal of Geophysical Research: Planets

Expected Seismicity and the Seismic Noise Environment of Europa

Seismic Wave Propagation in Icy Ocean Worlds

PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

The Effects of Methane Clathrates on the Thermal and Seismic Profile of Titan's Icy Lithosphere

Zenodo (CERN European Organization for Nuclear Research)

Magnetic Induction in Convecting Galilean Oceans


Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Pyramid Scene Parsing Network

Fully Convolutional Instance-aware Semantic Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International Journal of Applied Earth Observation and Geoinformation

Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields

Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and other models in Keras

Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis


Analysis of convergence between organismal traits and DNA/protein sequences

RERconverge: an R package for associating evolutionary rates with convergent traits

Pan-mammalian analysis of molecular constraints underlying extended lifespan

Phylogenetic Permulations: A Statistically Rigorous Approach to Measure Confidence in Associations in a Phylogenetic Context


High-Resolution Image Synthesis with Latent Diffusion Models

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

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

Structure and Content-Guided Video Synthesis with Diffusion Models

ModelScope Text-to-Video Technical Report

VideoComposer: Compositional Video Synthesis with Motion Controllability

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

BOOT: Data-free Distillation of Denoising Diffusion Models with Bootstrapping


Versatile open-source tool for microbiome analysis

VSEARCH: a versatile open source tool for metagenomics

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

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

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

Treatment of active Crohn's disease with an ordinary food-based diet that replicates exclusive enteral nutrition.

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

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

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

INC-Seq: accurate single molecule reads using nanopore sequencing

Active microorganisms thrive among extremely diverse communities in cloud water


Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

Using Physics-Based Digital Twins and Extended Reality for the Safety and Ergonomics Evaluation of Cobotic Workstations

Shared-Control Robotic Manipulation in Virtual Reality

A Coarse-to-Fine Framework for Dual-Arm Manipulation of Deformable Linear Objects with Whole-Body Obstacle Avoidance

OpenVR: Teleoperation for Manipulation

MultiRoboLearn: An open-source Framework for Multi-robot Deep Reinforcement Learning

Intuitive Robot Integration via Virtual Reality Workspaces

Low-Cost Digital Twin Approach and Tools to Support Industry and Academia: A Case Study Connecting High-Schools with High Degree Education

Virtual Reality Digital Twin and Environment for Troubleshooting Lunar-based Infrastructure Assembly Failures

Low-Cost Teleoperation with Haptic Feedback through Vision-based Tactile
  Sensors for Rigid and Soft Object Manipulation


Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit

Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys

Computers, Environment and Urban Systems

BEAM: The Modeling Framework for Behavior, Energy, Autonomy & Mobility

Half-(head)way there: Comparing two methods to account for public transport waiting time in accessibility indicators

Environment and Planning B: Urban Analytics and City Science


R package for integrating and analyzing multiple single-cell datasets

Mapping single-cell data to reference atlases by transfer learning

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

Computational methods for the integrative analysis of single-cell data

DIALOGUE maps multicellular programs in tissue from single-cell or spatial transcriptomics data

UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization

Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis

Bi-order multimodal integration of single-cell data

Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network

Simultaneous dimensionality reduction and integration for single-cell ATAC-seq data using deep learning


Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

Cloud archiving and data mining of High-Resolution Rapid Refresh forecast model output

A database of hourly wind speed and modeled generation for US wind plants based on three meteorological models


OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Autoencoding Variational Inference For Topic Models

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

A Survey on Neural Topic Models: Methods, Applications, and Challenges

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

An Empirical Analysis of Topic Models: Uncovering the Relationships between Hyperparameters, Document Length and Performance Measures

Recent Advances in Natural Language Processing

Towards Reinterpreting Neural Topic Models via Composite Activations

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

GINopic: Topic Modeling with Graph Isomorphism Network


腾讯高性能分布式图计算框架Plato

Graph Neural Networks: A Review of Methods and Applications

A Distributed Multi-GPU System for Large-Scale Node Embedding at Tencent

Nebula Graph: An open source distributed graph database

WindGP: Efficient Graph Partitioning on Heterogenous Machines


Minimum Information about any (X) Sequence” (MIxS) specification

Minimum information about a marker gene sequence (MIMARKS) and minimum information about any (x) sequence (MIxS) specifications

Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability

MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms


Repository for the GA4GH phenopacket schema

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

The RD‐Connect Genome‐Phenome Analysis Platform: Accelerating diagnosis, research, and gene discovery for rare diseases

GeneBreaker: Variant simulation to improve the diagnosis of Mendelian rare genetic diseases


powderday dust radiative transfer

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

Reproducing submillimetre galaxy number counts with cosmological hydrodynamic simulations

Monthly Notices of the Royal Astronomical Society

POWDERDAY: Dust Radiative Transfer for Galaxy Simulations

The Astrophysical Journal Supplement Series

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

A Framework for Modeling Polycyclic Aromatic Hydrocarbon Emission in Galaxy Evolution Simulations

Cosmic Sands: The Origin of Dusty, Star-forming Galaxies in the Epoch of Reionization


Ultra-deep search for novel viruses

Transcriptome mining extends the host range of the Flaviviridae to non-bilaterians

Viroid-like colonists of human microbiomes

bioRxiv : the preprint server for biology

NeoRdRp2 with improved seed data, annotations, and scoring


A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Synthcity: facilitating innovative use cases of synthetic data in different data modalities

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

TabPFGen -- Tabular Data Generation with TabPFN

Quantifying and Mitigating Privacy Risks for Tabular Generative Models

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing,
  Debugging

Diverse Community Data for Benchmarking Data Privacy Algorithms

FairX: A comprehensive benchmarking tool for model analysis using fairness, utility, and explainability


Tool to look for several security related Android application vulnerabilities

An Empirical Assessment of Global COVID-19 Contact Tracing Applications

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

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

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

Vulnerabilities in IoT Devices for Smart Home Environment

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

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

IEICE Transactions on Information and Systems

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

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

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


RNA Velocity generalized through dynamical modeling

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Targeted pharmacological therapy restores β-cell function for diabetes remission

Diet-induced alteration of intestinal stem cell function underlies obesity and prediabetes in mice

Regionally distinct trophoblast regulate barrier function and invasion in the human placenta

A transcriptional cross species map of pancreatic islet cells

Pax6 limits the competence of developing cerebral cortical cells to respond to inductive intercellular signals

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

Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes.

Fusion-negative rhabdomyosarcoma 3D organoids to predict effective drug combinations: A proof-of-concept on cell death inducers

Single cell trajectory analysis reveals a CD9 positive state to contribute to exit from stem cell-like and embryonic diapause states and transit to drug resistant states


An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Self-Attention with Relative Position Representations

Improving the Transformer Translation Model with Document-Level Context

Modeling Localness for Self-Attention Networks

Accelerating Neural Transformer via an Average Attention Network

THUMT: An Open Source Toolkit for Neural Machine Translation

Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning

IsarStep: a Benchmark for High-level Mathematical Reasoning

Shared-Private Bilingual Word Embeddings for Neural Machine Translation


Development of the Ocean Data and Information System (ODIS) architecture


Workflow Description Language developer tools & local runner

A simple guide to de novo transcriptome assembly and annotation

Rapid repeat infection of SARS-CoV-2 by two highly distinct delta-lineage viruses

TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization


Astronomical data platform for the Zwicky Transient Facility.

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

A Data Science Platform to Enable Time-domain Astronomy

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

Publications of the Astronomical Society of the Pacific

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

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

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

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

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


A pure-Rust implementation of Bulletproofs using Ristretto.

RoFL: Robustness of Secure Federated Learning

Bulletproofs+: Shorter Proofs for a Privacy-Enhanced Distributed Ledger

Retrofitting a two-way peg between blockchains

Zef: Low-latency, Scalable, Private Payments

Privacy-Preserving Decentralized Exchange Marketplaces


TinyML AI inference library

DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs

Machine Learning for Microcontroller-Class Hardware: A Review

Edge Impulse: An MLOps Platform for Tiny Machine Learning

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers

Kafka-ML: connecting the data stream with ML/AI frameworks

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

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

An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Embedded Devices

IACR Transactions on Cryptographic Hardware and Embedded Systems


Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

AudioCLIP: Extending CLIP to Image, Text and Audio

Adaptive Representations of Sound for Automatic Insect Recognition

Audio Denoising for Robust Audio Fingerprinting

R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces


IEA Task 43: pre-construction energy estimate data standard repository


Installer for D-Wave's Ocean tools

Support vector machines on the D-Wave quantum annealer

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

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

Investigating the Chinese Postman Problem on a Quantum Annealer

Semi-supervised time series classification method for quantum computing

Vacancies in graphene: an application of adiabatic quantum optimization

Physical chemistry chemical physics : PCCP

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial Intelligence

QUBO.jl: A Julia Ecosystem for Quadratic Unconstrained Binary Optimization

Quantum Support Vector Machines for Aerodynamic Classification

Accurate Computation of Relativistic Excitation Energies Using Quantum Annealing


fastdup is a powerful, free tool designed to rapidly generate valuable insights from image and video datasets. It helps enhance the quality of both images and labels, while significantly reducing data operation costs, all with unmatched scalability.

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
  Determines Multimodal Model Performance

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal
  Language Model

SelfClean: A Self-Supervised Data Cleaning Strategy

ACORN: Performant and Predicate-Agnostic Search Over Vector Embeddings
  and Structured Data

Towards Reliable Dermatology Evaluation Benchmarks

Linguistic Profiling of Deepfakes: An Open Database for Next-Generation Deepfake Detection


modAL: A modular active learning framework for Python

A Semi-Automatic Annotation Approach for Human Activity Recognition

Boosting API Recommendation With Implicit Feedback

IEEE Transactions on Software Engineering

Practical galaxy morphology tools from deep supervised representation learning

Recognizing lines of code violating company-specific coding guidelines using machine learning

Seeing and Believing: Evaluating the Trustworthiness of Twitter Users

Ground Truth Inference for Weakly Supervised Entity Matching

Active Learning Training Strategy for Predicting O Adsorption Free Energy on Perovskite Catalysts using Inexpensive Catalyst Features

Deep reinforced active learning for multi-class image classification

Active Learning Framework to Automate NetworkTraffic Classification


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

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

Analysis of Classifier-Free Guidance Weight Schedulers

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

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


The NCAR Command Language (NCL) is a scripting language for the analysis and visualization of climate and weather data.

Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic


DNS Tunneling: A Deep Learning based Lexicographical Detection Approach

Identifying DNS-tunneled traffic with predictive models

DNS tunneling Detection Using Elasticsearch

IOP Conference Series: Materials Science and Engineering

A Study of Newly Observed Hostnames and DNS Tunneling in the Wild

A Lightweight Adaptable DNS Channel for Covert Data Transmission


phy: interactive visualization and manual spike sorting of large-scale ephys data

Single-trial neural dynamics are dominated by richly varied movements

Distributed coding of choice, action and engagement across the mouse brain

Cortical pattern generation during dexterous movement is input-driven

The neurons that restore walking after paralysis

Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

Sensory coding and the causal impact of mouse cortex in a visual decision

Bidirectional perisomatic inhibitory plasticity of a Fos neuronal network

The sifting of visual information in the superior colliculus

Cerebellar involvement in an evidence-accumulation decision-making task

An increase of inhibition drives the developmental decorrelation of neural activity


Scripts to download genomes from the NCBI FTP servers

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

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

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

Consistent Metagenome-Derived Metrics Verify and Delineate Bacterial Species Boundaries

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

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

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

The Oral Mouse Microbiome Promotes Tumorigenesis in Oral Squamous Cell Carcinoma

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

PanACoTA: a modular tool for massive microbial comparative genomics


Python code for Stellar Population Inference from Spectra and SEDs

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

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

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

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

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

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

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

A Study of Two Diffuse Dwarf Galaxies in the Field

Signatures of Stellar Accretion in MaNGA Early-type Galaxies

A Massive Quiescent Galaxy Confirmed in a Protocluster at z = 3.09


Creative Commons Attribution 4.0 International

Data formats for gamma-ray astronomy

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

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

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

Zenodo (CERN European Organization for Nuclear Research)

Standardisation of Data Formats in Gamma-ray Astronomy


A powerful and flexible machine learning platform for drug discovery

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

��^2���������� as a Two-Step Graph Generative Models for Retrosynthesis Prediction

SemiRetro: Semi-template framework boosts deep retrosynthesis prediction

Contrastive Learning and Mixture of Experts Enables Precise Vector
  Embeddings


A social networking service scraper in Python

An analysis of COVID-19 vaccine sentiments and opinions on Twitter

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

Can ChatGPT Reproduce Human-Generated Labels? A Study of Social Computing Tasks

L3CubeMahaSent: A Marathi Tweet-based Sentiment Analysis Dataset

Examining Public Sentiments and Attitudes Toward COVID-19 Vaccination: Infoveillance Study Using Twitter Posts

Mawqif: A Multi-label Arabic Dataset for Target-specific Stance Detection

Workshop on Arabic Natural Language Processing

COVID-19, climate change, and the finite pool of worry in 2019 to 2021 Twitter discussions

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

AI Ethics on Blockchain: Topic Analysis on Twitter Data for Blockchain Security

Investigating the Emotional Response to COVID-19 News on Twitter: A Topic Modelling and Emotion Classification Approach

Implementation of Naive Bayes classification algorithm for Twitter user sentiment analysis on ChatGPT using Python programming language

FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German

Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)


A Web API that provides a family of lightweight interfaces for accessing Environmental Data resources.


Geometry Processing Library for Python

Hex-Mesh Generation and Processing: A Survey

Controlling the Error on Target Motion Through Real-Time Mesh Adaptation: Applications to Deep Brain Stimulation

International journal for numerical methods in biomedical engineering

Corticothalamic feedback sculpts visual spatial integration in mouse thalamus

Shape analysis of railway ballast stones: curvature-based calculation of particle angularity

PIEMAP: Personalized Inverse Eikonal Model from Cardiac Electro-Anatomical Maps

Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges

Learning Harmonic Molecular Representations on Riemannian Manifold

InSphereNet: a Concise Representation and Classification Method for 3D Object

Surface Reconstruction from Structured Light Images Using Differentiable Rendering

Composing Music Inspired by Sculpture: A Cross-Domain Mapping and Genetic Algorithm Approach

MULTI-MODAL SEMANTIC MESH SEGMENTATION IN URBAN SCENES

XXIV ISPRS CONGRESS IMAGING TODAY, FORESEEING TOMORROW, COMMISSION II


Nanopore sequencing and assembly of a human genome with ultra-long reads

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

Comparative Annotation Toolkit (CAT)—simultaneous clade and personal genome annotation


QuPath - Bioimage analysis & digital pathology

QuPath: Open source software for digital pathology image analysis

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

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

Computational and structural biotechnology journal

Artificial Intelligence in Pathology: From Prototype to Product

QuPath Digital Immunohistochemical Analysis of Placental Tissue

Open Practices and Resources for Collaborative Digital Pathology

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

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

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

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


Using Low-rank adaptation to quickly fine-tune diffusion models.

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

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

Pivotal Tuning for Latent-based Editing of Real Images

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Break-A-Scene: Extracting Multiple Concepts from a Single Image

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image Models

Face0: Instantaneously Conditioning a Text-to-Image Model on a Face

Navigating Text-To-Image Customization: From LyCORIS Fine-Tuning to Model Evaluation

RealFill: Reference-Driven Generation for Authentic Image Completion

Training-Free Consistent Text-to-Image Generation


Model parallel transformers in JAX and Haiku

PaLM: Scaling Language Modeling with Pathways

On the Opportunities and Risks of Foundation Models

Large Language Models are Zero-Shot Reasoners

A Survey of Large Language Models

Survey of Hallucination in Natural Language Generation

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

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

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

RoFormer: Enhanced Transformer with Rotary Position Embedding

TruthfulQA: Measuring How Models Mimic Human Falsehoods


An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

Agents: An Open-source Framework for Autonomous Language Agents

AI for social science and social science of AI: A Survey

Symbolic Learning Enables Self-Evolving Agents


Python audio and music signal processing library

madmom: a new Python Audio and Music Signal Processing Library

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

Feature Learning for Chord Recognition: The Deep Chroma Extractor

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction

Deep learning-based automatic downbeat tracking: a brief review

Generating Music Medleys via Playing Music Puzzle Games

Towards multi-instrument drum transcription

The Freesound Loop Dataset and Annotation Tool

Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis

Source Separation of Piano Concertos Using Musically Motivated Augmentation Techniques

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


Tool for robust segmentation of >100 important anatomical structures in CT and MR images

A large annotated medical image dataset for the development and evaluation of segmentation algorithms

TotalSegmentator: robust segmentation of 104 anatomical structures in CT images

SegVol: Universal and Interactive Volumetric Medical Image Segmentation

SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks

TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical
  Structures in MR images

Segmentation of 71 Anatomical Structures Necessary for the Evaluation of Guideline-Conforming Clinical Target Volumes in Head and Neck Cancers


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

A RISC-V SystemC-TLM simulator


Ethereum Token Contracts

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

TokenHook: Secure ERC-20 smart contract

Learning Inputs in Greybox Fuzzing

Psamathe: A DSL with Flows for Safe Blockchain Assets


common in-memory tensor structure

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

Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Bringing UMAP Closer to the Speed of Light with GPU Acceleration

PySAGES: flexible, advanced sampling methods accelerated with GPUs

A Memory-Efficient Neural Ordinary Differential Equation Framework Based on High-Level Adjoint Differentiation

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

SOL: Effortless Device Support for AI Frameworks without Source Code Changes


E3SM Diagnostics package

The E3SM Diagnostics Package (E3SM Diags v2.7): a Python-based diagnostics package for Earth system model evaluation


Single-cell mRNA quantification and differential analysis with Census

Characterization of the development of the mouse cochlear epithelium at the single cell level

Thyroid hormone regulates distinct paths to maturation in pigment cell lineages

Single-Cell Sequencing Reveals Types of Hepatopancreatic Cells and Haemocytes in Black Tiger Shrimp (Penaeus monodon) and Their Molecular Responses to Ammonia Stress

Epithelial Galectin-3 Induced the Mitochondrial Complex Inhibition and Cell Cycle Arrest of CD8+ T Cells in Severe/Critical COVID-19

International journal of molecular sciences

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

AAV‐mediated Gene Cocktails Enhance Supporting Cell Reprogramming and Hair Cell Regeneration


Pastas is an open-source Python framework for the analysis of groundwater time series.

Solving Groundwater Flow Problems with Time Series Analysis: You May Not Even Need Another Model

Pastas: Open Source Software for the Analysis of Groundwater Time Series


A toolbox to iNNvestigate neural networks' predictions!

The (Un)reliability of saliency methods

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

iNNvestigate neural networks!

Explainable artificial intelligence model to predict acute critical illness from electronic health records

Explainable AI Methods - A Brief Overview

DeepCOVIDExplainer: Explainable COVID-19 Diagnosis Based on Chest X-ray Images

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

Toward Explainable AI for Regression Models

Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation

Uncertainty-Aware Variational-Recurrent Imputation Network for Clinical Time Series


A Python framework for performing information retrieval experiments, building on http://terrier.org/

Declarative Experimentation in Information Retrieval using PyTerrier

International Conference on the Theory of Information Retrieval

Dense Text Retrieval Based on Pretrained Language Models: A Survey

Deep Reinforced Query Reformulation for Information Retrieval

Overview of the TREC 2022 NeuCLIR Track

A Survey on Asking Clarification Questions Datasets in Conversational Systems


pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Enhancing Deep Knowledge Tracing with Auxiliary Tasks

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing

Towards Robust Knowledge Tracing Models via k-Sparse Attention

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

Assessment of Reinforcement Learning for Macro Placement

Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route

High-Throughput Low Power Area Efficient 17-bit 2's Complement Multilayer Perceptron Components and Architecture for on-Chip Machine Learning in Implantable Devices

Enabling Reusable Physical Design Flows with Modular Flow Generators

Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology


Inferring CNV from Single-Cell RNA-Seq

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

Microenvironment drives cell state, plasticity, and drug response in pancreatic cancer

Single-Cell Atlas of Lineage States, Tumor Microenvironment, and Subtype-Specific Expression Programs in Gastric Cancer

Tumour heterogeneity and intercellular networks of nasopharyngeal carcinoma at single cell resolution

Single-cell and bulk transcriptome sequencing identifies two epithelial tumor cell states and refines the consensus molecular classification of colorectal cancer

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

Single-cell multimodal glioma analyses identify epigenetic regulators of cellular plasticity and environmental stress response

Single-cell transcriptomes of pancreatic preinvasive lesions and cancer reveal acinar metaplastic cells’ heterogeneity

Frequent aneuploidy in primary human T cells after CRISPR-Cas9 cleavage

Lineage recording in human cerebral organoids


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


Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl

Contribution of systemic and somatic factors to clinical response and resistance to PD-L1 blockade in urothelial cancer: An exploratory multi-omic analysis

beditor: A Computational Workflow for Designing Libraries of Guide RNAs for CRISPR-Mediated Base Editing

MetamORF: a repository of unique short open reading frames identified by both experimental and computational approaches for gene and metagene analyses

Database : the journal of biological databases and curation

FREEDA: an automated computational pipeline guides experimental testing of protein innovation by detecting positive selection

bioRxiv : the preprint server for biology


Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Google Vizier: A Service for Black-Box Optimization

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

Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

OmniPred: Language Models as Universal Regressors

Reinforced In-Context Black-Box Optimization


Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

On Neural Differential Equations

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers

torchode: A Parallel ODE Solver for PyTorch

On the convergence of adaptive approximations for stochastic differential equations

Learning reduced-order Quadratic-Linear models in Process Engineering
  using Operator Inference

Single-seed generation of Brownian paths and integrals for adaptive and high order SDE solvers


Coordinate- and image-based meta-analysis in Python

NiMARE: Neuroimaging Meta-Analysis Research Environment

Functional topography of anger and aggression in the human cerebellum

Revealing the neurobiology underlying interpersonal neural synchronization with multimodal data fusion

The human cerebellum in reward anticipation and outcome processing: An activation likelihood estimation meta-analysis

Neuroscout, a unified platform for generalizable and reproducible fMRI research

An Ontological Framework to Facilitate Early Detection of ‘Radicalization’ (OFEDR)—A Three World Perspective

The involvement of brain regions associated with lower KPS and shorter survival time predicts a poor prognosis in glioma


A Python package for working with electrochemical impedance data


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

CoDEx: A Comprehensive Knowledge Graph Completion Benchmark

Knowledge Graph Embeddings and Explainable AI

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

Meeting of the Association for Computational Linguistics

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

A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification


Diem’s mission is to build a trusted and innovative financial network that empowers people and businesses around the world.

BFT Protocol Forensics

How do programmers use unsafe rust?

Proceedings of the ACM on Programming Languages

Bottlenecks in Blockchain Consensus Protocols

Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs

Block-STM: Scaling Blockchain Execution by Turning Ordering Curse to a Performance Blessing

Characterizing EOSIO Blockchain

Twins: BFT Systems Made Robust

Strengthened Fault Tolerance in Byzantine Fault Tolerant Replication

Prism Removes Consensus Bottleneck for Smart Contracts

BigBFT: A Multileader Byzantine Fault Tolerance Protocol for High Throughput


Easy-to-use and powerful NLP and LLM library with  Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Text Classification,   Neural Search, ❓ Question Answering, ℹ Information Extraction,  Document Intelligence,  Sentiment Analysis etc.

Attention Is All You Need

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

Language Models are Few-Shot Learners

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models are Unsupervised Multitask Learners

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

Convolutional Neural Networks for Sentence Classification

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

High-Resolution Image Synthesis with Latent Diffusion Models

XLNet: Generalized Autoregressive Pretraining for Language Understanding


american fuzzy lop - a security-oriented fuzzer

Lost at C: A User Study on the Security Implications of Large Language Model Code Assistants

WEIZZ: automatic grey-box fuzzing for structured binary formats

International Symposium on Software Testing and Analysis

An Empirical Study of OSS-Fuzz Bugs

Sifu - a cybersecurity awareness platform with challenge assessment and intelligent coach

Fuzzing Symbolic Expressions

International Conference on Software Engineering

Fuzzing Class Specifications

Deep Learning & Software Engineering: State of Research and Future Directions

Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing

Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States

Growing a Test Corpus with Bonsai Fuzzing


A framework for performing optical propagation simulations, meant for high contrast imaging, in Python.

High Contrast Imaging for Python (HCIPy): an open-source adaptive optics and coronagraph simulator

Origin of the asymmetry of the wind driven halo observed in high-contrast images

Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Focal-plane wavefront sensing with the vector-Apodizing Phase Plate


MetaDrive: Open-source driving simulator

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

SafeDreamer: Safe Reinforcement Learning with World Models

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


[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

CCS - 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

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

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


Fast Library for Approximate Nearest Neighbors

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

FAST SEMANTIC SEGMENTATION OF 3D POINT CLOUDS WITH STRONGLY VARYING DENSITY

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

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

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

Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding

RTNN: Accelerating Neighbor Search Using Hardware Ray Tracing

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Survey of Vector Database Management Systems

Satellite System Graph: Towards the Efficiency Up-Boundary of Graph-Based Approximate Nearest Neighbor Search.


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

SciBERT: A Pretrained Language Model for Scientific Text

Cross-lingual Language Model Pretraining

Publicly Available Clinical BERT Embeddings

SpanBERT: Improving Pre-training by Representing and Predicting Spans

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


VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers

A Survey on Error-Bounded Lossy Compression for Scientific Datasets


The Modular Ocean Model

A Comparative Study of Vertical Mixing Schemes in Modeling the Bay of Bengal Dynamics


TODS: An Automated Time-series Outlier Detection System

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Data-centric Artificial Intelligence: A Survey

TODS: An Automated Time Series Outlier Detection System

TGAN-AD: Transformer-Based GAN for Anomaly Detection of Time Series Data

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


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

1-to-1 or 1-to-n? Investigating the Effect of Function Inlining on Binary Similarity Analysis

Inferring Input Grammars from Dynamic Control Flow

A Formal Semantics for P-Code

Verified Software: Theories, Tools, Experiments

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

Revisiting Deep Learning for Variable Type Recovery


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

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

Symptom Identification for Interpretable Detection of Multiple Mental Disorders

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

Improving Tokenisation by Alternative Treatment of Spaces

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

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

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

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

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

A Summarization Dataset of Slovak News Articles

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


enviroCar Android Application


Main development repository for TinyOS (an OS for embedded, wireless devices).

A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks

Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials

MOBICOM'19: PROCEEDINGS OF THE 25TH ANNUAL INTERNATIONAL CONFERENCE ON MOBILE COMPUTING AND NETWORKING

A Comprehensive Study on LPWANs With a Focus on the Potential of LoRa/LoRaWAN Systems

IEEE Communications Surveys and Tutorials

Performance Analysis of Time Synchronization Protocols in Wireless Sensor Networks

D-Box: DMA-enabled Compartmentalization for Embedded Applications

Proceedings 2022 Network and Distributed System Security Symposium

Link quality estimation for arbitrary packet sizes over wireless links using packet reception events

International Journal of Communication Systems

Design Considerations for Low Power Internet Protocols

A protocol architecture for energy efficient and pervasive eHealth systems

IEEE-EMBS International Conference on Biomedical and Health Informatics

Development and Validation of an ISA100.11a Simulation Model for Accurate Industrial WSN Planning and Deployment

Clock Skew Compensation Algorithm Immune to Floating-Point Precision Loss


The Esri Geometry API for Java enables developers to write custom applications for analysis of spatial data.  This API is used in the Esri GIS Tools for Hadoop and other 3rd-party data processing solutions.

Constructing gazetteers from volunteered Big Geo-Data based on Hadoop

A Survey on Spatio-temporal Data Analytics Systems

Geo-L: Topological Link Discovery for Geospatial Linked Data Made Easy

ISPRS International Journal of Geo-Information


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

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

Dronecrypt - An Efficient Cryptographic Framework for Small Aerial Drones

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

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

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

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

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

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

Performance Analysis of Secure Elements for IoT

Energy-Aware Digital Signatures for Embedded Medical Devices


Minimal PyTorch implementation of YOLOv3

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles

Expandable YOLO: 3D Object Detection from RGB-D Images

DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation

Bone Metastasis Detection in the Chest and Pelvis from a Whole-Body Bone Scan Using Deep Learning and a Small Dataset

A Neuro-Symbolic ASP Pipeline for Visual Question Answering

Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection

IPatch: a remote adversarial patch

Meta-learning algorithms for Few-Shot Computer Vision

A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty Estimates for AI Models


Creates spectrum generators for supersymmetric and non-supersymmetric models

FlexibleSUSY 2.0: Extensions to investigate the phenomenology of SUSY and non-SUSY models

FlexibleDecay: An automated calculator of scalar decay widths

Interpreting 95 GeV di-photon/bb̅ excesses as a lightest Higgs
  boson of the MRSSM


Algorithms for outlier, adversarial and drift detection

Monitoring and explainability of models in production

Merlion: A Machine Learning Library for Time Series

Ergo, SMIRK is Safe: A Safety Case for a Machine Learning Component in a Pedestrian Automatic Emergency Brake System

Context-Aware Drift Detection

Learn to Adapt: Robust Drift Detection in Security Domain

Model-agnostic and Scalable Counterfactual Explanations via Reinforcement Learning

Adversarial Detection and Correction by Matching Prediction Distributions

Towards a low-code solution for monitoring machine learning model performance

Model Driven Engineering Languages and Systems

Comprehensible Counterfactual Explanation on Kolmogorov-Smirnov Test

Sequential Multivariate Change Detection with Calibrated and Memoryless False Detection Rates


A Python Library for Self Organizing Map (SOM)

Machine Learning in Astronomy: a practical overview

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

Monthly Notices of the Royal Astronomical Society

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

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 A: Dynamic Meteorology and Oceanography

Assessment of Astronomical Images Using Combined Machine-learning Models

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

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


Time series Timeseries Deep Learning Machine Learning Python Pytorch  fastai | State-of-the-art Deep Learning library  for Time Series and Sequences in Pytorch / fastai

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

LSTM Fully Convolutional Networks for Time Series Classification

InceptionTime: Finding AlexNet for time series classification

Multivariate LSTM-FCNs for Time Series Classification

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

A Transformer-based Framework for Multivariate Time Series Representation Learning

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Self-attention for raw optical Satellite Time Series Classification


A python package for FITS input/output wrapping cfitsio

The Dark Energy Survey: Data Release 1

The Astrophysical Journal Supplement Series

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

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

Stellar Streams Discovered in the Dark Energy Survey

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

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

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

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Discovery of an Ultra-faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration 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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Deep Reinforcement Learning that Matters

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration


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

Traffic flow optimization using a quantum annealer

Graph Partitioning using Quantum Annealing on the D-Wave System

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

Open source software in quantum computing

A Tutorial on Formulating and Using QUBO Models

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

Prime factorization algorithm based on parameter optimization of Ising model

Calculation of molecular vibrational spectra on a quantum annealer

Journal of chemical theory and computation

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

Hybrid quantum annealing via molecular dynamics


The Regional Hydro-Ecologic Simulation System

Understanding How Fuel Treatments Interact With Climate and Biophysical Setting to Affect Fire, Water, and Forest Health: A Process-Based Modeling Approach

Natural revegetation and afforestation in abandoned cropland areas: Hydrological trends and changes in Mediterranean mountains

Watershed Hydrology: Scientific Advances and Environmental Assessments

Guidance on evaluating parametric model uncertainty at decision-relevant scales

Hydrologic Response of Sierra Nevada Mixed-Conifer Headwater Catchments to Vegetation Treatments and Wildfire in a Warming Climate

Changes in Blue/Green Water Partitioning Under Severe Drought


Development repository for the CICE sea-ice model

Atmospheric sensitivity to marginal‐ice‐zone drag: Local and global responses

Quarterly Journal of the Royal Meteorological Society

The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica


Oxford Nanopore's Basecaller

Gapless assembly of complete human and plant chromosomes using only nanopore sequencing

bioRxiv : the preprint server for biology

R2Dtool: Integration and visualization of isoform-resolved RNA features

Rockfish: A transformer-based model for accurate 5-methylcytosine prediction from nanopore sequencing

Unraveling the whole genome DNA methylation profile of zebrafish kidney marrow by Oxford Nanopore sequencing

Estimated Nucleotide Reconstruction Quality Symbols of Basecalling Tools for Oxford Nanopore Sequencing

Using a mobile nanopore sequencing lab for end-to-end genomic surveillance of Plasmodium falciparum: A feasibility study

Generating high-quality plant and fish reference genomes from field-collected specimens by optimizing preservation

Nanopore duplex sequencing as an alternative to Illumina MiSeq sequencing for eDNA-based biomonitoring of coastal aquaculture impacts

Characterization of telomere variant repeats using long reads enables allele-specific telomere length estimation

A role for the ATP-dependent DNA ligase Lig E of Neisseria gonorrhoeae in biofilm formation


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

Spatiotemporal Variations of Intermediate‐Depth Earthquakes Before and After 2011 Tohoku Earthquake Revealed by a Template Matching Catalog


Prevents you from committing secrets and credentials into git repositories

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools

With Great Humor Comes Great Developer Engagement

Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

A Comparative Study of Software Secrets Reporting by Secret Detection Tools


OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.

Security and Trust in Open Source Security Tokens

IACR Transactions on Cryptographic Hardware and Embedded Systems

Hybrid Post-quantum Signatures in Hardware Security Keys

How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy


Specification documents for the P4Runtime control-plane API

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

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

QuIP: A P4 Quantum Internet Protocol Prototyping Framework

IEEE Journal on Selected Areas in Communications


A dataset of datasets for learning to learn from few examples

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

CrossTransformers: spatially-aware few-shot transfer

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

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

Meta-Learning with Adaptive Hyperparameters

Universal Representation Learning from Multiple Domains for Few-shot Classification

Meta-Learning Requires Meta-Augmentation

Learning a Universal Template for Few-shot Dataset Generalization

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

International Conference on Computer Vision

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


Open Source Protein REdesign for You v3

CATS (Coordinates of Atoms by Taylor Series): protein design with backbone flexibility in all locally feasible directions

Resistor: an algorithm for predicting resistance mutations using Pareto optimization over multistate protein design and mutational signatures

Protocol for predicting drug-resistant protein mutations to an ERK2 inhibitor using RESISTOR

Improved HIV-1 neutralization breadth and potency of V2-apex antibodies by in silico design


Remote protein homology detection suite.

Highly accurate protein structure prediction with AlphaFold

Highly accurate protein structure prediction for the human proteome

HH-suite3 for fast remote homology detection and deep protein annotation

Inferring interaction partners from protein sequences

Unraveling the functional dark matter through global metagenomics

Rotamer-free protein sequence design based on deep learning and self-consistency

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

Improvement in Protein Domain Identification Is Reached by Breaking Consensus, with the Agreement of Many Profiles and Domain Co-occurrence

Complete atomic structure of a native archaeal cell surface

Ensembles generated from crystal structures of single distant homologues solve challenging molecular-replacement cases in AMPLE

Acta crystallographica. Section D, Structural biology


The generic genome-scale metabolic model of Homo sapiens

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

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

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

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

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

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

Computational and structural biotechnology journal

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

Brain energy metabolism is optimized to minimize the cost of enzyme synthesis and transport

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

Microbiome modeling: a beginner's guide


Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

ExaStencils: Advanced Multigrid Solver Generation

Software for Exascale Computing - SPPEXA 2016-2019

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

Proceedings of the International Workshop on OpenCL

Code Generation from Simulink Models with Task and Data Parallelism

International Conference on Bioinformatics

Open SYCL on heterogeneous GPU systems: A case of study


Deep learning with spiking neural networks (SNNs) in PyTorch.

Spiking Neural Networks and Their Applications: A Review

Spiking Recurrent Neural Networks Represent Task-Relevant Neural Sequences in Rule-Dependent Computation

mlGeNN: accelerating SNN inference using GPU-enabled neural networks


MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

SantaCoder: don't reach for the stars!

AutoBlock: A Hands-off Blocking Framework for Entity Matching

LargeEA: Aligning Entities for Large-scale Knowledge Graphs

In-Context Learning with Many Demonstration Examples

Topic modeling of public repositories at scale using names in source code

A data‐driven supply‐side approach for estimating cross‐border Internet purchases within the European Union

Journal of the Royal Statistical Society Series A: Statistics in Society

Koala: An Index for Quantifying Overlaps with Pre-training Corpora

Hardware Phi-1.5B: A Large Language Model Encodes Hardware Domain Specific Knowledge


Make some beautiful corner plots

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

Hierarchical analysis of gravitational-wave measurements of binary black hole spin–orbit misalignments

Monthly Notices of the Royal Astronomical Society

HEK. VI. On the Dearth of Galilean Analogs in Kepler, and the Exomoon Candidate Kepler-1625b I

The mass-sheet degeneracy and time-delay cosmography: analysis of the strong lens RXJ1131-1231

Journal of Cosmology and Astroparticle Physics

β PICTORIS' INNER DISK IN POLARIZED LIGHT AND NEW ORBITAL PARAMETERS FOR β PICTORIS b

THE DISTANCE DUALITY RELATION FROM STRONG GRAVITATIONAL LENSING

Extreme jet ejections from the black hole X-ray binary V404 Cygni

A comparison of exoplanet spectroscopic retrieval tools

Monthly notices of the Royal Astronomical Society

Improving time-delay cosmography with spatially resolved kinematics

Unveiling cloudy exoplanets: the influence of cloud model choices on retrieval solutions


Extensible, Efficient Quantum Algorithm Design for Humans.

Variational quantum eigensolver with fewer qubits

Solving quantum statistical mechanics with variational autoregressive networks and quantum circuits

Secure quantum computing for healthcare sector: A short analysis

Tensor Network Circuit Simulation at Exascale

QAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithms


Brevitas: neural network quantization in PyTorch

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

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

FAT: Training Neural Networks for Reliable Inference Under Hardware Faults

Graph Neural Networks for Charged Particle Tracking on FPGAs

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

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

Signal Processing: Algorithms, Architectures, Arrangements, and Applications

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

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

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

PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference


Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project: https://is.gd/solth


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

The landscape of tolerated genetic variation in humans and primates

Evolutionary velocity with protein language models

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

Structure-informed Language Models Are Protein Designers

Is Transfer Learning Necessary for Protein Landscape Prediction?

Updated benchmarking of variant effect predictors using deep mutational scanning

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


The LLM Evaluation Framework

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval

Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model Against LLM Red-Teaming


All the code for Bike Index, because we love you


Faster Whisper transcription with CTranslate2

Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for
  Large-Scale Speech Generation

Vript: A Video Is Worth Thousands of Words

CrossVoice: Crosslingual Prosody Preserving Cascade-S2ST using Transfer
  Learning


Python package for processing image-based profiling data

Biological Cartography: Building and Benchmarking Representations of Life

Reproducible image-based profiling with Pycytominer

BioProfiling.jl: profiling biological perturbations with high-content imaging in single cells and heterogeneous populations

Phenonaut: multiomics data integration for phenotypic space exploration


OCR engine for all the languages

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Building an efficient OCR system for historical documents with little training data

Important New Developments in Arabographic Optical Character Recognition (OCR)

Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis

Page Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches

Reconnaissance d’entités nommées sur des sorties OCR bruitées : des pistes pour la désambiguïsation morphologique automatique (Resolution of entity linking issues on noisy OCR output : automatic disambiguation tracks)

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library


PyTorch ,ONNX and TensorRT implementation of YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

Vision-based bicycle and motorcycle detection using a YOLO-based Network

Adversarial Semantic Contour for Object Detection

Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector

A Review and Implementation of Object Detection Models and Optimizations for Real-time Medical Mask Detection during the COVID-19 Pandemic

International Symposium on INnovations in Intelligent SysTems and Applications


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

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

Interactive Contrastive Learning for Self-supervised Entity Alignment

(Almost) Unsupervised Grammatical Error Correction using Synthetic Comparable Corpus

Workshop on Innovative Use of NLP for Building Educational Applications

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

Multimodal matching-aware co-attention networks with mutual knowledge distillation for fake news detection

NEUROSTRUCTURAL DECODING: Neural Text Generation with Structural Constraints

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

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

Classification of Human- and AI-Generated Texts for English, French, German, and Spanish

Exploring Design Choices for Building Language-Specific LLMs

EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques

International Workshop on Semantic Evaluation


Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension. Part of Node.js, WebKit/Safari, Ladybird, Cloudflare Workers and Bun.

Transcoding Billions of Unicode Characters per Second with SIMD Instructions

Transcoding Unicode Characters with AVX-512 Instructions

Unicode at Gigabytes per Second

String Processing and Information Retrieval


Python framework for short-term ensemble prediction systems.

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Skilful nowcasting of extreme precipitation with NowcastNet


Objax is a machine learning framework that provides an Object Oriented layer for JAX.

Opacus: User-Friendly Differential Privacy Library in PyTorch

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain Adaptation

Equinox: neural networks in JAX via callable PyTrees and filtered transformations

Handcrafted Backdoors in Deep Neural Networks

FedJAX: Federated learning simulation with JAX

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?

GPJax: A Gaussian Process Framework in JAX

Reconciling AI Performance and Data Reconstruction Resilience for Medical Imaging

Dynamic Online Ensembles of Basis Expansions


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

Datasets for Large Language Models: A Comprehensive Survey

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


Implementations of recent research prototypes/demonstrations using MONAI.

UNETR: Transformers for 3D Medical Image Segmentation

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, MICCAI 2023, PT IV

Attention-based CT scan interpolation for lesion segmentation of colorectal liver metastases

Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging


Documentation for Crossref's REST API. For questions or suggestions, see https://community.crossref.org/

Evidence of Open Access of scientific publications in Google Scholar: a large-scale analysis

Crossref: The sustainable source of community-owned scholarly metadata

Comparing published scientific journal articles to their pre-print versions

International Journal on Digital Libraries

Tortured phrases: A dubious writing style emerging in science. Evidence of critical issues affecting established journals

A High Order Accurate Bound-Preserving Compact Finite Difference Scheme for Scalar Convection Diffusion Equations

Do altmetrics work for assessing research quality?

Changes in evidence for studies assessing interventions for COVID-19 reported in preprints: meta-research study

How many preprints have actually been printed and why: a case study of computer science preprints on arXiv

It’s the workflows, stupid! What is required to make ‘offsetting’ work for the open access transition

The Evolution of IJHCS and CHI: A Quantitative Analysis

International Journal of Human-Computer Studies


Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

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

Knowledge Graph Prompting for Multi-Document Question Answering

LLM360: Towards Fully Transparent Open-Source LLMs

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

Large Language Models are Efficient Learners of Noise-Robust Speech Recognition

Making Network Configuration Human Friendly

Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation

Adaptive Rank Selections for Low-Rank Approximation of Language Models

North American Chapter of the Association for Computational Linguistics


Brain-inspired Cognitive Intelligence Engine (BrainCog) is a brain-inspired spiking neural network based platform for Brain-inspired Artificial Intelligence and simulating brains at multiple scales. The long term goal of BrainCog is to provide a comprehensive theory and system to decode the mechanisms and principles of human intelligence and its evolution, and develop artificial brains for brain-inspired conscious living AI in future Human-AI symbiotic Society.

Solving the spike feature information vanishing problem in spiking deep Q network with potential based normalization

Multi-compartment Neuron and Population Encoding improved Spiking Neural Network for Deep Distributional Reinforcement Learning

Enhancing Efficient Continual Learning with Dynamic Structure Development of Spiking Neural Networks

A brain-inspired intention prediction model and its applications to humanoid robot

TIM: An Efficient Temporal Interaction Module for Spiking Transformer

DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling


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

Visibility reasoning for concurrent snapshot algorithms

Verifying C++ Dynamic Binding

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

Verification of C++ Programs with VeriFast

Modular Formal Verification of Rust Programs with Unsafe Blocks


Accelerating ggplot2

Mge-cluster: a reference-free approach for typing bacterial plasmids

Long-Term Maize-Legume Intercropping Shifts Structure and Composition of Soil Microbiome with Potential Impacts on Ecosystem Services and Food Safety

A Nanopore-based method for generating complete coding region sequences of dengue virus in resource-limited settings

Transcriptomics of ivermectin response in Caenorhabditis elegans: Integrating abamectin quantitative trait loci and comparison to the Ivermectin-exposed DA1316 strain

Comparison of Atmospheric and Lithospheric Culturable Bacterial Communities from Two Dissimilar Active Volcanic Sites, Surtsey Island and Fimmvörðuháls Mountain in Iceland


Data augmentation for NLP

Character-level Convolutional Networks for Text Classification

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

On the Opportunities and Risks of Foundation Models

SimCSE: Simple Contrastive Learning of Sentence Embeddings

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Adversarial Examples for Evaluating Reading Comprehension Systems

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

HotFlip: White-Box Adversarial Examples for Text Classification

Generating Natural Language Adversarial Examples

Synthetic and Natural Noise Both Break Neural Machine Translation


Eureka! is a data reduction and analysis pipeline intended for time-series observations with JWST.

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

A reflective, metal-rich atmosphere for GJ 1214b from its JWST phase curve

Spectroscopic Time Series Performance of the Mid-infrared Instrument on the JWST

High atmospheric metal enrichment for a Saturn-mass planet

JWST COMPASS: A NIRSpec/G395H Transmission Spectrum of the Sub-Neptune TOI-836c


Key/Value Datastore for Persistent Memory

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

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

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

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

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

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


Berkeley's Spatial Array Generator

I-BERT: Integer-only BERT Quantization

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Power-Intent Systolic Array Using Modified Parallel Multiplier for Machine Learning Acceleration

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators

Carry-Propagation-Adder-Factored Gemmini Systolic Array for Machine Learning Acceleration

Deep Learning Accelerators’ Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study

Iterative Filter Pruning for Concatenation-based CNN Architectures


TLSH (C++ version)

Bytewise Approximate Matching: The Good, The Bad, and The Unknown

The journal of digital forensics, security and law

JavaScript Malware Detection Using Locality Sensitive Hashing

Hashing Incomplete and Unordered Network Streams

International Conference on Digital Forensics

Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework


QKeras: a quantization deep learning library for Tensorflow Keras

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors

Fast convolutional neural networks on FPGAs with hls4ml

Machine Learning: Science and Technology

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

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

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

Charged particle tracking via edge-classifying interaction networks

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

Graph Neural Networks for Charged Particle Tracking on FPGAs

ROBIN: A Robust Optical Binary Neural Network Accelerator

Enabling Binary Neural Network Training on the Edge


A TensorFlow implementation of DeepMind's WaveNet paper

WaveNet: A Generative Model for Raw Audio

Adversarial Audio Synthesis

A Survey on Neural Speech Synthesis

Fast Wavenet Generation Algorithm

Fast Generation for Convolutional Autoregressive Models

A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks


LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

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

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

A Survey on Efficient Inference for Large Language Models

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM
  Serving

LoongServe: Efficiently Serving Long-context Large Language Models with
  Elastic Sequence Parallelism

Applications of Large Scale Foundation Models for Autonomous Driving

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning


Wikipedia for Web APIs. Directory of REST API definitions in OpenAPI 2.0/3.x format

Generating GraphQL-Wrappers for REST(-like) APIs

REST API Fuzzing by Coverage Level Guided Blackbox Testing

A Link Generator for Increasing the Utility of OpenAPI-to-GraphQL Translations


Assembly and intrahost/low-frequency variant calling for viral samples

Adaptive immunity and neutralizing antibodies against SARS-CoV-2 variants of concern following vaccination in patients with cancer: The CAPTURE study

Monkeypox outbreak in Madrid (Spain): Clinical and virological aspects

A Founder Effect Led Early SARS-CoV-2 Transmission in Spain

Imported SARS-CoV-2 Variants of Concern Drove Spread of Infections across Kenya during the Second Year of the Pandemic

medRxiv : the preprint server for health sciences

Functional immune responses against SARS-CoV-2 variants of concern after fourth COVID-19 vaccine dose or infection in patients with blood cancer

Performance of SARS-CoV-2 Antigen-Detecting Rapid Diagnostic Tests for Omicron and Other Variants of Concern

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures

Genomic Analysis of West Nile Virus Lineage 1 Detected in Mosquitoes during the 2020–2021 Outbreaks in Andalusia, Spain

Novel Amplicon-Based Sequencing Approach to West Nile Virus

Metagenomic sequencing, molecular characterization, and Bayesian phylogenetics of imported type 2 vaccine-derived poliovirus, Spain, 2021

Frontiers in cellular and infection microbiology


ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

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

Visual-Inertial Odometry of Aerial Robots

An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight

The ETH-MAV Team in the MBZ International Robotics Challenge

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

Visual-Inertial Indoor Navigation Systems and Algorithms for UAV Inspection Vehicles

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Sinkhorn Divergences for Unbalanced Optimal Transport

Proximal Optimal Transport Modeling of Population Dynamics

Debiased Sinkhorn barycenters

Geophysical inversion and optimal transport

Rethinking Initialization of the Sinkhorn Algorithm

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling


Python package for creating and visualizing interactive network graphs.

Massive-scale Decoding for Text Generation using Lattices

Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for
  Large Language Models with Applications in Protein Mechanics and Design

Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models


:scroll: :tada: Automated reporting of objects in R

Epidemiological characteristics of COVID-19 cases and estimates of the reproductive numbers 1 month into the epidemic, Italy, 28 January to 31 March 2020

Measuring Cognitive Load Using In-Game Metrics of a Serious Simulation Game

High-resolution X–ray diffraction datasets: Carbonates

How does community-managed infrastructure scale up from rural to urban? An example of co-production in community water projects in Northern Pakistan

Closed-Loop, Cervical, Epidural Stimulation Elicits Respiratory Neuroplasticity after Spinal Cord Injury in Freely Behaving Rats

Molnupiravir Outpatient Treatment for Adults with COVID-19 in a Real-World Setting—A Single Center Experience

Cervical Cancer Prevention in the Era of the COVID-19 Pandemic

Interpersonal Family Dynamics Relate to Hippocampal CA Subfield Structure

Urine 3-Nitrotyrosine and Serum HDL as Potential Biomarkers of Depression

Anodal-TDCS over Left-DLPFC Modulates Motor Cortex Excitability in Chronic Lower Back Pain


Foundational Models for State-of-the-Art Speech and Text Translation

Seamless: Multilingual Expressive and Streaming Speech Translation

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

MuTox: Universal MUltilingual Audio-based TOXicity Dataset and Zero-shot Detector

Integrating Paralinguistics in Speech-Empowered Large Language Models for Natural Conversation

Efficient Monotonic Multihead Attention


SwissArmyTransformer is a flexible and powerful library to develop your own Transformer variants.

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

Prefix-Tuning: Optimizing Continuous Prompts for Generation

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

GPT Understands, Too

LMTuner: An user-friendly and highly-integrable Training Framework for fine-tuning Large Language Models


Mixed-effects models in R using S4 classes and methods with RcppEigen

lme4qtl: linear mixed models with flexible covariance structure for genetic studies of related individuals

AKR-001, an Fc-FGF21 Analog, Showed Sustained Pharmacodynamic Effects on Insulin Sensitivity and Lipid Metabolism in Type 2 Diabetes Patients

Age and sex related changes in episodic memory function in middle aged and older adults

Connectivity Neurofeedback Training Can Differentially Change Functional Connectivity and Cognitive Performance

Leaf silica concentration in Serengeti grasses increases with watering but not clipping: insights from a common garden study and literature review

Bumblebees Learn Polarization Patterns

Core and Differentially Abundant Bacterial Taxa in the Rhizosphere of Field Grown Brassica napus Genotypes: Implications for Canola Breeding

Anterior and Posterior Left Inferior Frontal Gyrus Contribute to the Implementation of Grammatical Determiners During Language Production

Infection Dynamics and Immune Response in a Newly Described Drosophila-Trypanosomatid Association

What accounts for individual differences in susceptibility to the McGurk effect?


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

Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning

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

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

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

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

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

Proceedings of the 19th ACM International Conference on Computing Frontiers

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

Leaking Control Flow Information via the Hardware Prefetcher

A Storage-Effective BTB Organization for Servers

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

TransforMAP: Transformer for Memory Access Prediction

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


The CMU Link Grammar natural language parser

How Decoding Strategies Affect the Verifiability of Generated Text

The Annotation Guideline of LST20 Corpus

Natural Language Generation Using Link Grammar for General Conversational Intelligence


Calculation engine for the Energy Transition Model


The Water Distribution System Hydraulic and Water Quality Analysis Toolkit


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

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

What Algorithms can Transformers Learn? A Study in Length Generalization

Teaching Arithmetic to Small Transformers

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

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

Prodigy: An Expeditiously Adaptive Parameter-Free Learner

A Latent Space Theory for Emergent Abilities in Large Language Models

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

A Tale of Tails: Model Collapse as a Change of Scaling Laws

Sparks of Large Audio Models: A Survey and Outlook


60+ Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...),  reinforcement learning (ppo, dqn), capsnet, distillation, ...

Deep Residual Learning for Image Recognition

Adam: A Method for Stochastic Optimization

Attention Is All You Need

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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

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

Graph Attention Networks

Distilling the Knowledge in a Neural Network


Ongoing research training transformer language models at scale, including: BERT & GPT-2

Language Models are Few-Shot Learners

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

What Language Model to Train if You Have One Million GPU Hours?

Distributed Inference and Fine-tuning of Large Language Models Over The Internet

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results

Design of Chain-of-Thought in Math Problem Solving


MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

Nengo and low-power AI hardware for robust, embedded neurorobotics

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee

DoorGym: A Scalable Door Opening Environment And Baseline Agent

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Deep Reinforcement Learning

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Characterization of continuum robot arms under reinforcement learning and derived improvements

Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments

Deep Generative Models for Decision-Making and Control


Resource Entitlement Management System is a tool for managing access rights to resources, such as research datasets.

Common ELIXIR Service for Researcher Authentication and Authorisation

GA4GH Passport standard for digital identity and access permissions