Airborne LiDAR data manipulation and visualisation for forestry application

Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States

Assessment of Above-Ground Carbon Storage by Urban Trees Using LiDAR Data: The Case of a University Campus

Classification of UAV point clouds by random forest machine learning algorithm

Allergenic pollen production across a large city for common ragweed (Ambrosia artemisiifolia)

Improved Classification of Urban Trees Using a Widespread Multi-Temporal Aerial Image Dataset

Canopy cover of mangrove estimation based on airborne LIDAR & Landsat 8 OLI

IOP conference series. Earth and environmental science


Simulating Many Accelerated Strongly-interacting Hadrons

Multisystem Bayesian constraints on the transport coefficients of QCD matter

Phenomenological Constraints on the Transport Properties of QCD Matter with Data-Driven Model Averaging.

Phase transitions and critical behavior in hadronic transport with a relativistic density functional equation of state

Efficient emulation of relativistic heavy ion collisions with transfer learning

Role of bulk viscosity in deuteron production in ultrarelativistic nuclear collisions

Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions

Quantifying the Quark Gluon Plasma

Assessing the ultracentral flow puzzle in hydrodynamic modeling of heavy-ion collisions


source{d} datasets ("big code") for source code analysis and machine learning on source code

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Public Git Archive: a Big Code dataset for all

PyNose: A Test Smell Detector For Python

Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network


Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species

projectR: An R/Bioconductor package for transfer learning via PCA, NMF, correlation, and clustering

Integrated time course omics analysis distinguishes immediate therapeutic response from acquired resistance

Variation of Human Neural Stem Cells Generating Organizer States In Vitro before Committing to Cortical Excitatory or Inhibitory Neuronal Fates


ENTERPRISE (Enhanced Numerical Toolbox Enabling a Robust PulsaR Inference SuitE) is a pulsar timing analysis code, aimed at noise analysis, gravitational-wave searches, and timing model analysis.

The NANOGrav 12.5 yr Data Set: Search for an Isotropic Stochastic Gravitational-wave Background

The NANOGrav 11 Year Data Set: Pulsar-timing Constraints on the Stochastic Gravitational-wave Background

The NANOGrav 15 yr Data Set: Evidence for a Gravitational-wave Background

The NANOGrav 15 yr Data Set: Search for Signals from New Physics

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

Monthly Notices of the Royal Astronomical Society

Searching for isotropic stochastic gravitational-wave background in the international pulsar timing array second data release

The Parkes Pulsar Timing Array project: second data release

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

The NANOGrav 12.5 yr Data Set: Observations and Narrowband Timing of 47 Millisecond Pulsars

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

Pulsar Timing Array Constraints on Primordial Black Holes with NANOGrav 11-Year Dataset

The NANOGrav 11 yr Data Set: Limits on Gravitational Waves from Individual Supermassive Black Hole Binaries


The ThingML modelling language

From things' modeling language (ThingML) to things' machine learning (ThingML2)

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedings

Data Analytics and Machine Learning Methods, Techniques and Tool for Model-Driven Engineering of Smart IoT Services

International Conference on Software Engineering

Supporting AI Engineering on the IoT Edge through Model-Driven TinyML

Annual International Computer Software and Applications Conference

MDE4QAI: Towards Model-Driven Engineering for Quantum Artificial
  Intelligence

Towards a secure API client generator for IoT devices

Runtime Monitoring for Executable DSLs

ML-Quadrat & DriotData: A Model-Driven Engineering Tool and a Low-Code Platform for Smart IoT Services

Model-Driven Engineering for Artificial Intelligence -- A Systematic
  Literature Review


TF MOtif Discovery from Importance SCOres

Technical Note on Transcription Factor Motif Discovery from Importance Scores (TF-MoDISco) version 0.5.6.5

GENCODE: reference annotation for the human and mouse genomes in 2023

Prioritizing non-coding regions based on human genomic constraint and sequence context with deep learning

Deep learning model of somatic hypermutation reveals importance of sequence context beyond hotspot targeting


Distances and representations of persistence diagrams

Persistence Images: A Stable Vector Representation of Persistent Homology

Persistence Diagrams with Linear Machine Learning Models

On the stability of persistent entropy and new summary functions for topological data analysis

Computing a Stable Distance on Merge Trees

IEEE transactions on visualization and computer graphics

Machine learning assisted high-throughput screening of zeolites for the selective adsorption of xylene isomers


Sequence correction provided by ONT Research

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

Retrospective detection of asymptomatic monkeypox virus infections among male sexual health clinic attendees in Belgium

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Trycycler: consensus long-read assemblies for bacterial genomes

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

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

A Rapid and Accurate MinION-Based Workflow for Tracking Species Biodiversity in the Field

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

Assembly-free single-molecule sequencing recovers complete virus genomes from natural microbial communities


An intake plugin for parsing an Earth System Model (ESM) catalog and loading assets into xarray datasets.


PyTorch implementation of adversarial attacks [torchattacks].

Torchattacks : A Pytorch Repository for Adversarial Attacks

WaveCNet: Wavelet Integrated CNNs to Suppress Aliasing Effect for Noise-Robust Image Classification

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

A Unified Wasserstein Distributional Robustness Framework for
  Adversarial Training

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

Minimum Noticeable Difference-Based Adversarial Privacy Preserving Image Generation

Shape Defense Against Adversarial Attacks

Delving into Deep Image Prior for Adversarial Defense: A Novel Reconstruction-based Defense Framework

SynBench: Task-Agnostic Benchmarking of Pretrained Representations using
  Synthetic Data

Security and Privacy in Machine Learning for Health Systems: Strategies and Challenges


Geographical Data Processing in the Cloud

An Overview of Platforms for Big Earth Observation Data Management and Analysis

A Cloud-Based Evaluation of the National Land Cover Database to Support New Mexico’s Food–Energy–Water Systems


Overlay Network for distributed protocols

POSEIDON: Privacy-Preserving Federated Neural Network Learning

Scalable Privacy-Preserving Distributed Learning

Secure and Efficient Multi-Signature Schemes for Fabric: An Enterprise Blockchain Platform

Privacy-preserving federated neural network learning for disease-associated cell classification

Scalable and Privacy-Preserving Federated Principal Component Analysis


Evaluation functions for music/audio information retrieval/signal processing algorithms.

Peer effect and social learning in micro- generation adoption and urban smarter grids development?

A VARIANCE MODELING FRAMEWORK BASED ON VARIATIONAL AUTOENCODERS FOR SPEECH ENHANCEMENT

International Workshop on Machine Learning for Signal Processing

Audio-Based Music Structure Analysis: Current Trends, Open Challenges, and Applications

Transactions of the International Society for Music Information Retrieval

Evaluating Hierarchical Structure in Music Annotations

ReconVAT: A Semi-Supervised Automatic Music Transcription Framework for Low-Resource Real-World Data

Robust Unsupervised Audio-visual Speech Enhancement Using a Mixture of Variational Autoencoders

DNN-Based Mask Estimation for Distributed Speech Enhancement in Spatially Unconstrained Microphone Arrays

Revisiting the Onsets and Frames Model with Additive Attention

SDR -- Medium Rare with Fast Computations

DiffRoll: Diffusion-based Generative Music Transcription with
  Unsupervised Pretraining Capability


AddressSanitizer, ThreadSanitizer, MemorySanitizer

NEUZZ: Efficient Fuzzing with Neural Program Smoothing

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers

Intel MPX Explained: An Empirical Study of Intel MPX and Software-based Bounds Checking Approaches

CUP: Comprehensive User-Space Protection for C/C++

PROCEEDINGS OF THE 2018 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (ASIACCS'18)

VPLanet: The Virtual Planet Simulator

Publications of the Astronomical Society of the Pacific

Verified Security for the Morello Capability-enhanced Prototype Arm Architecture

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

An Exploratory Analysis of Microcode as a Building Block for System Defenses

Understanding Large Language Model Based Fuzz Driver Generation

Ready, set, Go! Data-race detection and the Go language


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 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

The journal of cell biology/The Journal of cell biology


Perspective is an API that uses machine learning models to score the perceived impact a comment might have on a conversation. See https://developers.perspectiveapi.com for more information.

Galactica: A Large Language Model for Science

Predictability and Surprise in Large Generative Models

Editing Models with Task Arithmetic

Fine-Grained Human Feedback Gives Better Rewards for Language Model
  Training

Safe Latent Diffusion: Mitigating Inappropriate Degeneration in Diffusion Models

Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective

Journal of artificial intelligence research/The journal of artificial intelligence research

"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat

Mitigating harm in language models with conditional-likelihood
  filtration

Risk management in the Artificial Intelligence Act

Understanding BERT performance in propaganda analysis

Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propaganda


Muzic: Music Understanding and Generation with Artificial Intelligence

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint

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

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Museformer: Transformer with Fine- and Coarse-Grained Attention for
  Music Generation

MuseCoco: Generating Symbolic Music from Text

ReLyMe

Proceedings of the 30th ACM International Conference on Multimedia

CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic
  Music Information Retrieval

GETMusic: Generating Any Music Tracks with a Unified Representation and
  Diffusion Framework

MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks


Deep GPs built on top of TensorFlow/Keras and GPflow

Deep Gaussian Process Emulation using Stochastic Imputation

GPflux: A Library for Deep Gaussian Processes

Bellman: A Toolbox for Model-Based Reinforcement Learning in TensorFlow


This repository contains the source code for the paper First Order Motion Model for Image Animation

Motion Representations for Articulated Animation

Generating Videos with Dynamics-aware Implicit Generative Adversarial
  Networks

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

Compressing Video Calls using Synthetic Talking Heads

StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation

NARRATE: A Normal Assisted Free-View Portrait Stylizer

PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation.


Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

A factor graph approach to automated design of Bayesian signal processing algorithms

International journal of approximate reasoning

Simulating Active Inference Processes by Message Passing

Extended Variational Message Passing for Automated Approximate Bayesian Inference

Active Inference and Epistemic Value in Graphical Models


Framework for the reproducible processing of neuroimaging data with deep learning methods

Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation

Clinica: an open source software platform for reproducible clinical neuroscience studies

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder

Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models

Towards better Interpretable and Generalizable AD detection using
  Collective Artificial Intelligence

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


Comparison tools

CatBoost: unbiased boosting with categorical features

Enhanced TabNet: Attentive Interpretable Tabular Learning for Hyperspectral Image Classification

Interpretable Mixture of Experts

Fair Learning to Rank with Distribution-free Risk Control


A differentiable PDE solving framework for machine learning

Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers

Message Passing Neural PDE Solvers

Learning to Control PDEs with Differentiable Physics

Physics-based Deep Learning

Towards Multi-spatiotemporal-scale Generalized PDE Modeling

Clifford Neural Layers for PDE Modeling

Meta-Learning Dynamics Forecasting Using Task Inference

Learning to Accelerate Partial Differential Equations via Latent Global
  Evolution

MAgNet: Mesh Agnostic Neural PDE Solver

Geometric Clifford Algebra Networks


Logical manifestations of topological concepts, and other things, via the univalent point of view.

Domain Theory in Constructive and Predicative Univalent Foundations

Cantor-Bernstein implies Excluded Middle

The Cantor-Schröder-Bernstein Theorem for ∞-groupoids

Predicative Aspects of Order Theory in Univalent Foundations

On Small Types in Univalent Foundations

Set-Theoretic and Type-Theoretic Ordinals Coincide

The Scott model of PCF in univalent type theory

Partial Functions and Recursion in Univalent Type Theory.

Patch Locale of a Spectral Locale in Univalent Type Theory

Injective types in univalent mathematics


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

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

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

Lineage recording in human cerebral organoids

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


Tools for working with SAM/BAM data

Pan-cancer whole genome analyses of metastatic solid tumors

SAMBLASTER: fast duplicate marking and structural variant read extraction

ViennaNGS: A toolbox for building efficient next- generation sequencing analysis pipelines

Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

Sequential targeting of YAP1 and p21 enhances the elimination of senescent cells induced by the BET inhibitor JQ1

Complete Genome Sequence of Haemophilus influenzae Strain 375 from the Middle Ear of a Pediatric Patient with Otitis Media

Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish

Frontiers in cell and developmental biology

Shedding light on dark genes: enhanced targeted resequencing by optimizing the combination of enrichment technology and DNA fragment length

Genome-Wide Re-Sequencing Data Reveals the Population Structure and Selection Signatures of Tunchang Pigs in China

Animals : an open access journal from MDPI

A new tumorgraft panel to accelerate precision medicine in prostate cancer


An autoML framework & toolkit for machine learning on graphs.

Automated Machine Learning on Graphs: A Survey

AutoGL: A Library for Automated Graph Learning

NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search

Automated Graph Machine Learning: Approaches, Libraries and Directions

Adversarially Robust Neural Architecture Search for Graph Neural Networks


Extract data quickly from Juicebox via straw

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

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

Hybridization-proximity labeling reveals spatially ordered interactions of nuclear RNA compartments


Interactive assembly and analysis of RAD-seq data sets

Population genomic analyses of RAD sequences resolves the phylogenetic relationship of the lichen-forming fungal species Usnea antarctica and Usnea aurantiacoatra

Whole-genome amplification in double-digest RADseq results in adequate libraries but fewer sequenced loci

Adaptation to hummingbird pollination is associated with reduced diversification in Penstemon

Reconciling species diversity in a tropical plant clade (Canarium, Burseraceae)

Phylogenomic analyses confirm a novel invasive North American Corbicula (Bivalvia: Cyrenidae) lineage

Phylogenomic analyses reveal intractable evolutionary history of a temperate bamboo genus (Poaceae: Bambusoideae)

Interspecific Genetic Differences and Historical Demography in South American Arowanas (Osteoglossiformes, Osteoglossidae, Osteoglossum)

Genomics-Based Phylogenetic and Population Genetic Analysis of Global Samples Confirms Halophila johnsonii Eiseman as Halophila ovalis (R.Br.) Hook.f.

DiscoSnp-RAD: de novo detection of small variants for population genomics

Using RADseq to resolve species boundaries in a morphologically complex group of yellow-flowered shrubs (Geleznowia, Rutaceae)


AIConfig is a config-based framework to build generative AI applications.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Automatic Chain of Thought Prompting in Large Language Models

Towards Understanding Chain-of-Thought Prompting: An Empirical Study of What Matters

Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Automatic Prompt Optimization with "Gradient Descent" and Beam Search

From Images to Textual Prompts: Zero-shot Visual Question Answering with Frozen Large Language Models

Optimizing Prompts for Text-to-Image Generation

Chain-of-Verification Reduces Hallucination in Large Language Models

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution


MATLAB application for fNIRS data processing and visualization

Improved physiological noise regression in fNIRS: A multimodal extension of the General Linear Model using temporally embedded Canonical Correlation Analysis

A Methodological Review of fNIRS in Driving Research: Relevance to the Future of Autonomous Vehicles

Directed information flow during laparoscopic surgical skill acquisition dissociated skill level and medical simulation technology

Human-in-the-Loop Optimization of Transcranial Electrical Stimulation at the Point of Care: A Computational Perspective

Use-Dependent Prosthesis Training Strengthens Contralateral Hemodynamic Brain Responses in a Young Adult With Upper Limb Reduction Deficiency: A Case Report

Brain-behavior analysis of transcranial direct current stimulation effects on a complex surgical motor task


API & Webapp to answer questions about COVID-19. Using NLP (Question Answering) and trusted data sources.

COVID-QA: A Question Answering Dataset for COVID-19

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

End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training

Collecting Verified COVID-19 Question Answer Pairs

Empirical Methods in Natural Language Processing

An Empirical Study of Bugs in COVID-19 Software Projects

Journal of software engineering research and development

A COVID-19 Search Engine (CO-SE) with Transformer-based Architecture


Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

Hierarchical Bayesian Regression for Multi-Site Normative Modeling of Neuroimaging Data

Site effects how-to and when: An overview of retrospective techniques to accommodate site effects in multi-site neuroimaging analyses

A stable and replicable neural signature of lifespan adversity in the adult brain

Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling

Estimating cortical thickness trajectories in children across different scanners using transfer learning from normative models

Transformer-based normative modelling for anomaly detection of early
  schizophrenia

Predictive Clinical Neuroscience Portal (PCNportal): instant online access to research-grade normative models for clinical neuroscientists.

Extreme deviations from the normative model reveal cortical heterogeneity and associations with negative symptom severity in first-episode psychosis from the OPTiMiSE and GAP studies


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

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

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Obstacle Recognition and Avoidance for UAVs Under Resource-Constrained Environments


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


ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

Robustness Testing of Language Understanding in Task-Oriented Dialog

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning
  for Task-oriented Dialogue Systems

Extrinsic Evaluation of Machine Translation Metrics

How to Evaluate Your Dialogue Models: A Review of Approaches

Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning

Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial
  Task-Oriented Dialog Systems


Build and run Docker containers leveraging NVIDIA GPUs

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Performance Evaluation of Container-based Virtualization for High Performance Computing Environments

3D whole brain segmentation using spatially localized atlas network tiles

Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Salus: Fine-Grained GPU Sharing Primitives for Deep Learning Applications

Performance Evaluation of Deep Learning Tools in Docker Containers

Bifrost: a Python/C++ Framework for High-Throughput Stream Processing in Astronomy

Fully Automatic Liver Attenuation Estimation Combing CNN Segmentation and Morphological Operations

Medical physics on CD-ROM/Medical physics

Boutiques: a flexible framework to integrate command-line applications in computing platforms

Relevance-Based Data Masking: A Model-Agnostic Transfer Learning Approach for Facial Expression Recognition


Coq is a formal proof management system. It provides a formal language to write mathematical definitions, executable algorithms and theorems together with an environment for semi-interactive development of machine-checked proofs.

Coq Coq correct! verification of type checking and erasure for Coq, in Coq

Proceedings of the ACM on programming languages

QED at Large: A Survey of Engineering of Formally Verified Software

Foundations and trends in programming languages

Mtac2: typed tactics for backward reasoning in Coq

The Marriage of Univalence and Parametricity

Validating Mathematical Structures

Zippy LL(1) parsing with derivatives

Complete Bidirectional Typing for the Calculus of Inductive Constructions

The Trusted Computing Base of the CompCert Verified Compiler

Beyond Notations: Hygienic Macro Expansion for Theorem Proving Languages

Computable analysis and notions of continuity in Coq


Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

Falcon 2.0: An Entity and Relation Linking Tool over Wikidata

RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network

Evaluating Text GANs as Language Models

End-to-End Construction of NLP Knowledge Graph

SentimentArcs: A Novel Method for Self-Supervised Sentiment Analysis of Time Series Shows SOTA Transformers Can Struggle Finding Narrative Arcs

An Overview of Indian Language Datasets used for Text Summarization


Brain Modeling Toolkit

Multimodal Modeling of Neural Network Activity: Computing LFP, ECoG, EEG, and MEG Signals With LFPy 2.0

BioNet: A Python interface to NEURON for modeling large-scale networks

Brain Modeling ToolKit: An open source software suite for multiscale modeling of brain circuits

Reproducible Neural Network Simulations: Statistical Methods for Model Validation on the Level of Network Activity Data


The existing blockchain-related academic papers. All papers are sorted according to the conference and published year.  Welcome developers or researchers to add more published papers to this list.

Adding Concurrency to Smart Contracts

Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

FalconDB: Blockchain-based Collaborative Database

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

A Transactional Perspective on Execute-order-validate Blockchains

P2B-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Confidentiality Support over Financial Grade Consortium Blockchain

Blockchain-based real-time cheat prevention and robustness for multi-player online games

Conference on Emerging Network Experiment and Technology

SQL Ledger: Cryptographically Verifiable Data in Azure SQL Database

DIV: Resolving the Dynamic Issues of Zero-knowledge Set Membership Proof in the Blockchain

Fast Byzantine Agreement for Permissioned Distributed Ledgers

PROCEEDINGS OF THE 32ND ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES (SPAA '20)


Convert ONNX models to PyTorch.

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition


This code can be used to generate simulated NIRCam, NIRISS, or FGS data

PDRs4All: A JWST Early Release Science Program on Radiative Feedback from Massive Stars

Publications of the Astronomical Society of the Pacific

CEERS Key Paper. III. The Diversity of Galaxy Structure and Morphology at z = 3–9 with JWST

Expectations of the size evolution of massive galaxies at 3 ≤ z ≤
  6 from the TNG50 simulation: the CEERS/JWST view

Performance of near-infrared high-contrast imaging methods with JWST from commissioning


AstroAccelerate is a many-core accelerated software package for processing time-domain radio-astronomy data.

Simultaneous multi-telescope observations of FRB 121102

Monthly notices of the Royal Astronomical Society

A GPU Implementation of the Correlation Technique for Real-time Fourier Domain Pulsar Acceleration Searches

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

First discoveries and localizations of Fast Radio Bursts with MeerTRAP: real-time, commensal MeerKAT survey

A polyphase filter for many-core architectures

Introduction to the Special Issue on Digital Signal Processing in Radio Astronomy

MeerTRAP in the era of multi-messenger astrophysics

FRB 20210405I: a nearby Fast Radio Burst localized to sub-arcsecond precision with MeerKAT

Searching for pulsars in extreme orbits -- GPU acceleration of the
  Fourier domain 'jerk' search


The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.

QPALM: a proximal augmented lagrangian method for nonconvex quadratic programs

LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

Learning Structured Gaussians to Approximate Deep Ensembles

Large-scale Optimization with Linear Equality Constraints using Reduced
  Compact Representation

FSpGEMM: An OpenCL-based HPC Framework for Accelerating General Sparse
  Matrix-Matrix Multiplication on FPGAs


Public Workflows at GNPS

Feature-based Molecular Networking in the GNPS Analysis Environment

Ion identity molecular networking for mass spectrometry-based metabolomics in the GNPS environment

Ion Identity Molecular Networking in the GNPS Environment

foodMASST: A Mass Spectrometry Search Tool for Foods and Beverages.


SenSeI: Sensitive Set Invariance for Enforcing Individual Fairness

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Machine Learning Suites for Online Toxicity Detection

Automatic Fairness Testing of Neural Classifiers Through Adversarial Sampling

Finding Good Representations of Emotions for Text Classification

An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings

International Conference on Computational Linguistics

Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models

Findings of the Association for Computational Linguistics: EMNLP 2022


An Open-Source Framework for Prompt-Learning.

OpenPrompt: An Open-source Framework for Prompt-learning

Prototypical Verbalizer for Prompt-based Few-shot Tuning

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning

Scalable Prompt Generation for Semi-supervised Learning with Language Models

Dynamic Prompting: A Unified Framework for Prompt Tuning

A Few-shot Approach to Resume Information Extraction via Prompts

Knowledge-Guided Prompt Learning for Few-Shot Text Classification

Arguments to Key Points Mapping with Prompt-based Learning


Data Analysis with Bootstrapped ESTimation

Ferroptosis Induction and YAP Inhibition as New Therapeutic Targets in Gastrointestinal Stromal Tumors (GISTs)

Long range temporal correlations (LRTCs) in MEG-data during emerging psychosis: Relationship to symptoms, medication-status and clinical trajectory

Energetic determinants of animal cell polarity regulator Par-3 interaction with the Par complex

Cooperative regulation of C1-domain membrane recruitment polarizes atypical protein kinase C

The journal of cell biology/The Journal of cell biology

OSS Effort Estimation Using Software Features Similarity and Developer Activity-Based Metrics

ACM transactions on software engineering and methodology

PIEZO1 regulates leader cell formation and cellular coordination during collective keratinocyte migration


A Python library to extract tabular data from PDFs

Image-based table recognition: data, model, and evaluation

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

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

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

An Interpretable Deep Learning System for Automatically Scoring Request for Proposals


Python/C++ library for distribution power system analysis


PyTorch implementation of FastSurferCNN

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI

FastSurferVINN: Building Resolution-Independence into Deep Learning
  Segmentation Methods -- A Solution for HighRes Brain MRI

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.

Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability

A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Generalizability of treatment outcome prediction in major depressive disorder using structural MRI: A NeuroPharm study

Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment

FastSurfer-HypVINN: Automated sub-segmentation of the hypothalamus and adjacent structures on high-resolutional brain MRI


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

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

Energy-Aware Digital Signatures for Embedded Medical Devices

Performance Analysis of Secure Elements for IoT

Hardware Limitations to Secure C-ITS: Experimental Evaluation and Solutions

IEEE transactions on vehicular technology


PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.

A systematic review of homomorphic encryption and its contributions in healthcare industry

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.

A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-Service

A Review of Homomorphic Encryption for Privacy-Preserving Biometrics

Reputation Systems for Supply Chains: The Challenge of Achieving Privacy
  Preservation

Reinforcement Learning on Encrypted Data


Python implementation of the multistate Bennett acceptance ratio (MBAR)

Guidelines for the analysis of free energy calculations

Journal of computer-aided molecular design

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

A simple method for automated equilibration detection in molecular simulations

Transferable MARTINI Model of Poly(ethylene Oxide)

Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials

Uncovering Differences in Hydration Free Energies and Structures for Model Compound Mimics of Charged Side Chains of Amino Acids

The Ca2+ permeation mechanism of the ryanodine receptor revealed by a multi-site ion model

Structural analysis of high-dimensional basins of attraction

Rigid Body Flows for Sampling Molecular Crystal Structures

Statistically optimal continuous free energy surfaces from biased
  simulations and multistate reweighting


An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

fastp: an ultra-fast all-in-one FASTQ preprocessor

SARS-CoV-2 variants show resistance to neutralization by many monoclonal and serum-derived polyclonal antibodies

PRMD: an integrated database for plant RNA modifications

Probiotics impact the antibiotic resistance gene reservoir along the human GI tract in a person-specific and antibiotic-dependent manner

Retention of paternal DNA methylome in the developing zebrafish germline

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

International journal of molecular sciences

CancerSCEM: a database of single-cell expression map across various human cancers

Residual chlorine disrupts the microbial communities and spreads antibiotic resistance in freshwater

A simple guide to de novo transcriptome assembly and annotation

Skeletal Muscle Disorders: A Noncardiac Source of Cardiac Troponin T


Template for the GFW Map Builder that is available through ArcGIS Online, as a stand-alone web application, & a library to build custom Forest Atlas web applications


Climate Model Output Rewriter


Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

MLGO: a Machine Learning Guided Compiler Optimizations Framework

MLGOPerf: An ML Guided Inliner to Optimize Performance


The Regional Hydro-Ecologic Simulation System

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


A Gradual type system for Erlang

OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles

OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles

A Gradual Type System for Elixir

The Design Principles of the Elixir Type System

The art, science, and engineering of programming

Set-theoretic Types for Erlang


A PyTorch Basecaller for Oxford Nanopore Reads

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing

Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly

Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era

Generation of an isoform-level transcriptome atlas of macrophage activation

Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

Optimizing experimental design for genome sequencing and assembly with Oxford Nanopore Technologies

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

Draft Genome Sequence of the Lichenized Fungus Bacidia gigantensis


Hologram processing and light scattering in python

Charged hydrophobic colloids at an oil-aqueous phase interface.

Physical review. E, Statistical, nonlinear, and soft matter physics

Holographic Microscopy With Python and HoloPy

The role of the medium in the effective-sphere interpretation of holographic particle characterization data

Improving holographic particle characterization by modeling spherical aberration


Starlink Software Collection

AST: A library for modelling and manipulating coordinate systems

Phase-resolved spectroscopy of Gaia14aae: line emission from near the white dwarf surface

Preservation through modernisation: The software of the H1 experiment at HERA

SDSS J124043.01+671034.68: the partially burned remnant of a low-mass white dwarf that underwent thermonuclear ignition?

The General Single-Dish Data format: A retrospective


An open-source framework for training large multimodal models.

Flamingo: a Visual Language Model for Few-Shot Learning

mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive
  Vision-Language Models

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with
  Text

PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering

What Makes for Good Visual Tokenizers for Large Language Models?

Visual Instruction Tuning with Polite Flamingo

Exploring Diverse In-Context Configurations for Image Captioning

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


Face recognition with deep neural networks.

OpenFace: A general-purpose face recognition library with mobile applications

Deep Identity-aware Transfer of Facial Attributes

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion
  Recognition


This library provides a framework for assessing wind plant performance using operational assessment (OA) methodologies that consume time series data from wind plants. The goal of the project is to provide an open source implementation of common data structures, analysis methods, and utility functions relevant to wind plant OA.

OpenOA: An Open-Source Codebase For Operational Analysis of Wind Farms

Operational-based annual energy production uncertainty: are its components actually uncorrelated?

Considering Uncertainties of Key Performance Indicators in Wind Turbine Operation

Reviewing methods and assumptions for high-resolution large-scale onshore wind energy potential assessments

Identification and prioritization of low performing wind turbines using a power curve health value approach

Are Uncertainty Categories in a Wind Farm Annual Energy Production Estimate Actually Uncorrelated?


PySwip is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.

Interactive Text Graph Mining with a Prolog-based Dialog Engine

Theory and practice of logic programming

Neuro-Symbolic Integration Brings Causal and Reliable Reasoning Proofs

Generating Data for Symbolic Language with Large Language Models

Dependency-based Text Graphs for Keyphrase and Summary Extraction with
  Applications to Interactive Content Retrieval

A computational model of Ostrom's Institutional Analysis and Development framework

Enabling Game-Theoretical Analysis of Social Rules

International Conference of the Catalan Association for Artificial Intelligence

Prolog-based agnostic explanation module for structured pattern classification


Avatars for Zoom, Skype and other video-conferencing apps.

The Creation and Detection of Deepfakes: A Survey

Zooming Into Video Conferencing Privacy

FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios

The practice of technological deception in videoconferencing systems for distance learning and ways to counter it

Deepfake CAPTCHA: A Method for Preventing Fake Calls

Detection of Real-Time Deepfakes in Video Conferencing with Active Probing and Corneal Reflection


High throughput synchronous and asynchronous reinforcement learning

Proximal Policy Optimization Algorithms

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via
  Planning and Learning


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

Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry.

A Comparative Study of Software Secrets Reporting by Secret Detection Tools

With Great Humor Comes Great Developer Engagement

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


An R meta-package for the analysis of Next Generation Sequencing data

In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA

Chronic viral infections persistently alter marrow stroma and impair hematopoietic stem cell fitness

The Journal of experimental medicine/The journal of experimental medicine

Beyond detoxification: a role for mouse mEH in the hepatic metabolism of endogenous lipids

Serum deprivation limits loss and promotes recovery of tenogenic phenotype in tendon cell culture systems

Journal of orthopaedic research : official publication of the Orthopaedic Research Society

Spatial transcriptomics combined with single-cell RNA-sequencing unravels the complex inflammatory cell network in atopic dermatitis.

Allergy. European Journal of Allergy and Clinical Immunology

Spontaneous reactivation of latent HIV-1 promoters is linked to the cell cycle as revealed by a genetic-insulators-containing dual-fluorescence HIV-1-based vector

Replacing the SpCas9 HNH domain by deaminases generates compact base editors with an alternative targeting scope

The Role of IL-13 and IL-4 in Adipose Tissue Fibrosis

Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors

Treg-selective IL-2 starvation synergizes with CD40 activation to sustain durable responses in lymphoma models


Agent Learning Framework https://alf.readthedocs.io

Hierarchical Reinforcement Learning By Discovering Intrinsic Options

Learning to Synthesize Programs as Interpretable and Generalizable Policies

TAAC: Temporally Abstract Actor-Critic for Continuous Control

Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning


TensorFlow for R

NeuralSens: Sensitivity Analysis of Neural Networks

Deep Compositional Spatial Models

Deep integro-difference equation models for spatio-temporal forecasting

A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations

Ensemble Methods for Native Language Identification

Workshop on Innovative Use of NLP for Building Educational Applications

Constructing large nonstationary spatio-temporal covariance models via compositional warpings


Python code related to DM calculations, estimations, and analysis

A census of baryons in the Universe from localized fast radio bursts

Probing Galactic haloes with fast radio bursts

Monthly notices of the Royal Astronomical Society

Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors

The Host Galaxies and Progenitors of Fast Radio Bursts Localized with the Australian Square Kilometre Array Pathfinder

Characterizing the Fast Radio Burst Host Galaxy Population and its Connection to Transients in the Local and Extragalactic Universe

High time resolution and polarization properties of ASKAP-localized fast radio bursts

Monthly Notices of the Royal Astronomical Society

A Distant Fast Radio Burst Associated with Its Host Galaxy by the Very Large Array

A High-resolution View of Fast Radio Burst Host Environments

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope

Probabilistic Association of Transients to their Hosts (PATH)


Tools for Energy Model Optimization and Analysis

Modelling to generate alternatives with an energy system optimization model

pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

Building conflict uncertainty into electricity planning: A South Sudan case study

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

Open Source Energy System Modeling Using Break-Even Costs to Inform State-Level Policy: A North Carolina Case Study

Improving the representation of energy efficiency in an energy system optimization model

Global sensitivity analysis to enhance the transparency and rigour of energy system optimisation modelling


Creative Commons Attribution 4.0 International

RISC-V cryptography extensions standardisation work.

A Lightweight ISA Extension for AES and SM4

On Entropy and Bit Patterns of Ring Oscillator Jitter

Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms


SAI: a fork of Leela Zero with variable komi.

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Accelerating Self-Play Learning in Go

SAI, a Sensible Artificial Intelligence that plays Go

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?


XACC - eXtreme-scale Accelerator programming framework

Open source software in quantum computing

A Quantum Computing View on Unitary Coupled Cluster Theory

A Language and Hardware Independent Approach to Quantum-Classical
  Computing

Enabling Pulse-level Programming, Compilation, and Execution in XACC


netCDF Operators


A collection of reference environments for offline reinforcement learning

Conservative Q-Learning for Offline Reinforcement Learning

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL

Continual Learning of Control Primitives: Skill Discovery via Reset-Games

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Bootstrapped Transformer for Offline Reinforcement Learning

Continuous Doubly Constrained Batch Reinforcement Learning

Diffusion Model is an Effective Planner and Data Synthesizer for
  Multi-Task Reinforcement Learning


A library for doing homomorphic encryption operations on tensors

TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic
  Encryption

A Decentralized Identity-Based Blockchain Solution for Privacy-Preserving Licensing of Individual-Controlled Data to Prevent Unauthorized Secondary Data Usage

Syft 0.5: A Platform for Universally Deployable Structured Transparency

XFL: A High Performace, Lightweighted Federated Learning Framework

Privacy-Preserving Chaotic Extreme Learning Machine with Fully
  Homomorphic Encryption


Some helpful preload libraries for pwning stuff.

Nyx-Net: Network Fuzzing with Incremental Snapshots

SnapFuzz: High-Throughput Fuzzing of Network Applications

Zenodo (CERN European Organization for Nuclear Research)

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols


Croissant is a high-level format for machine learning datasets that brings together four rich layers.

Data Acquisition: A New Frontier in Data-centric AI


Raspberry Pi Based Energy Monitor. Hardware, Firmware & related software for the PI.


A Python nearest neighbor descent for approximate nearest neighbors

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

A General Framework For Detecting Anomalous Inputs to DNN Classifiers

K-Nearest Neighbor Approximation Via the Friend-of-a-Friend Principle

LANNS: A Web-Scale Approximate Nearest Neighbor Lookup System

TopoAct: Exploring the Shape of Activations in Deep Learning

Empirical complexity of comparator-based nearest neighbor descent

An Efficient Content-based Time Series Retrieval System

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management

Fast Single-Core K-Nearest Neighbor Graph Computation

A Survey on Efficient Processing of Similarity Queries over Neural Embeddings

CEnt: An Entropy-based Model-agnostic Explainability Framework to
  Contrast Classifiers' Decisions


Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Machine-learning-based diagnostics of EEG pathology

A Plug&Play P300 BCI Using Information Geometry

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

IEEE transactions on neural networks and learning systems

Decoding Imagined Speech and Computer Control using Brain Waves

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Introduction to Geometric Learning in Python with Geomstats

Proceedings of the Python in Science Conferences

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces


A high-quality speech analysis, manipulation and synthesis system

Beyond Poet Voice: Sampling the (Non-) Performance Styles of 100 American Poets

Continuous vocoder applied in deep neural network based voice conversion

RNN-based speech synthesis using a continuous sinusoidal model

NeuralDPS: Neural Deterministic Plus Stochastic Model With Multiband Excitation for Noise-Controllable Waveform Generation

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


A modular framework for neural networks with Euclidean symmetry

Recent advances and applications of deep learning methods in materials science

A Practical Method for Constructing Equivariant Multilayer Perceptrons for Arbitrary Matrix Groups

e3nn: Euclidean Neural Networks

Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties.

Direct Prediction of Phonon Density of States With Euclidean Neural Networks

Finding Symmetry Breaking Order Parameters with Euclidean Neural Networks

Rotation-Equivariant Deep Learning for Diffusion MRI

Rotational and reflectional equivariant convolutional neural network for data-limited applications: Multiphase flow demonstration

EQUIVARIANT GEOMETRIC LEARNING FOR DIGITAL ROCK PHYSICS: ESTIMATING FORMATION FACTOR AND EFFECTIVE PERMEABILITY TENSORS FROM MORSE GRAPH

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt
  Tensor Products


De novo assembler for single molecule sequencing reads using repeat graphs

Assembly of long, error-prone reads using repeat graphs

metaFlye: scalable long-read metagenome assembly using repeat graphs

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

Assembly of long error-prone reads using de Bruijn graphs

Efficient assembly of nanopore reads via highly accurate and intact error correction

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

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

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

HASLR: Fast Hybrid Assembly of Long Reads


Tools for atmospheric research

An experimental 2D-Var retrieval using AMSR2


Python package for processing image-based profiling data

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

Phenonaut: multiomics data integration for phenotypic space exploration

Reproducible image-based profiling with Pycytominer.


Towards Learning Universal Hyperparameter Optimizers with Transformers

Pre-trained Gaussian processes for Bayesian optimization

PriorBand: Practical Hyperparameter Optimization in the Age of Deep
  Learning

Improving Training Stability for Multitask Ranking Models in Recommender Systems

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

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


:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

SOM-VAE: Interpretable Discrete Representation Learning on Time Series

Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data

The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Optimizing COVID-19 vaccine distribution across the United States using deterministic and stochastic recurrent neural networks

Improving the reliability of photometric redshift with machine learning

Towards latent space based manipulation of elastic rods using autoencoder models and robust centerline extractions

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

Self-Organizing Map assisted Deep Autoencoding Gaussian Mixture Model for Intrusion Detection

Tracking Emotions: Intrinsic Motivation Grounded on Multi-Level Prediction Error Dynamics

A Comparison of Linear and Non-Linear Machine Learning Techniques (PCA and SOM) for Characterizing Urban Nutrient Runoff


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)


PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Non-local Neural Networks

SlowFast Networks for Video Recognition

Multiscale Vision Transformers

X3D: Expanding Architectures for Efficient Video Recognition

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Masked Feature Prediction for Self-Supervised Visual Pre-Training

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Masked Autoencoders As Spatiotemporal Learners

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers


Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)

Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM

Pan-cancer whole genome analyses of metastatic solid tumors

Telomere-to-telomere assembly of a complete human X chromosome

Genome graphs and the evolution of genome inference

Real-time DNA barcoding in a rainforest using nanopore sequencing: opportunities for rapid biodiversity assessments and local capacity building

Enzymatic methyl sequencing detects DNA methylation at single-base resolution from picograms of DNA

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

Combined mutation in Vhl, Trp53 and Rb1 causes clear cell renal cell carcinoma in mice

Whole genome characterization of sequence diversity of 15,220 Icelanders

Chromosome-level genome assembly of a parent species of widely cultivated azaleas


Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Searching for MobileNetV3

Pruning Filters for Efficient ConvNets

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Bag of Tricks for Image Classification with Convolutional Neural Networks

Synthetic Data for Text Localisation in Natural Images


Tree based hydrologic and hydraulic routing


UIUC/PPL version of ChaNGa

The formation of ultradiffuse galaxies in the RomulusC galaxy cluster simulation

The formation of isolated ultradiffuse galaxies in romulus25

A New Signal Model for Axion Cavity Searches from N-body Simulations

The AGORA High-resolution Galaxy Simulations Comparison Project. III. Cosmological Zoom-in Simulation of a Milky Way–mass Halo

THE EFFECTS OF ANGULAR MOMENTUM ON HALO PROFILES

Extracting Insights from Astrophysics Simulations

The Role of Mass and Environment on Satellite distributions around Milky
  Way analogs in the Romulus25 simulation


Utility functions for handling MIDI data in a nice/intuitive way.

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

MIDI-Sheet Music Alignment Using Bootleg Score Synthesis

Melody Generation for Pop Music via Word Representation of Musical Properties.

Multimodal Lyrics-Rhythm Matching


A differentiable bridge between phase space and Fock space

Seeding Gaussian boson samplers with single photons for enhanced state
  generation

A Quantum Optical Recurrent Neural Network for Online Processing of
  Quantum Times Series

A Quadratic Speedup in the Optimization of Noisy Quantum Optical Circuits


pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，LLaMA等模型应用在纠错场景，开箱即用。

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Neural Language Correction with Character-Based Attention

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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

TFC: Defending Against SMS Fraud via a Two-Stage Algorithm

Communications in computer and information science

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


4 bits quantization of LLaMA using GPTQ

LLaMA: Open and Efficient Foundation Language Models

A Survey of Large Language Models

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained
  Transformers

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

The case for 4-bit precision: k-bit Inference Scaling Laws

SqueezeLLM: Dense-and-Sparse Quantization

Do Emergent Abilities Exist in Quantized Large Language Models: An
  Empirical Study

Compressing LLMs: The Truth is Rarely Pure and Never Simple

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


Chaos testing, network emulation, and stress testing tool for containers

Opportunistic Edge Computing: Concepts, opportunities and research challenges

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).

From the Eye of the Storm: An IoT Ecosystem Made of Sensors, Smartphones and UAVs

Clustering-based Partitioning for Large Web Graphs

Local Bitcoin Network Simulator for Performance Evaluation using
  Lightweight Virtualization

CausalRCA: Causal Inference based Precise Fine-grained Root Cause
  Localization for Microservice Applications

Using IoTCloudSamples as a software framework for simulations of edge computing scenarios

A Fault-Tolerant and Secure Architecture for Key Management in LoRaWAN Based on Permissioned Blockchain

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos
  Engineering

A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems under Communication Issues and Cyber Attacks


Elastic Deep Learning for deep learning framework on Kubernetes

Distilling the Knowledge in a Neural Network

Bag of Tricks for Image Classification with Convolutional Neural Networks

Large‐scale knowledge distillation with elastic heterogeneous computing resources


Control the quality of your labeled data with the Python tools you already know.

Crowdsourced Text Sequence Aggregation based on Hybrid Reliability and Representation

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Vox Populi, Vox DIY: Benchmark Dataset for Crowdsourced Audio Transcription

A Dataset of Crowdsourced Word Sequences: Collections and Answer Aggregation for Ground Truth Creation

Proceedings of the First Workshop on Aggregating and Analysing Crowdsourced Annotations for NLP

A General-Purpose Crowdsourcing Computational Quality Control Toolkit for Python.

Learning from Crowds with Crowd-Kit

If in a Crowdsourced Data Annotation Pipeline, a GPT-4


Analysis & visualization of energy & climate scenarios

pyam: Analysis and visualisation of integrated assessment and macro-energy scenarios

pyam: a Python Package for the Analysis and Visualization of Models of the Interaction of Climate, Human, and Environmental Systems

Understanding Climate Risk in Future Energy Systems: An Energy–Climate Data Hackathon

Bulletin of the American Meteorological Society


Starter code for working with the YouTube-8M dataset.

YouTube-8M: A Large-Scale Video Classification Benchmark

SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features
  for Large-scale Video Classification

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

Aggregating Frame-level Features for Large-Scale Video Classification

Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification

Multi-attention Networks for Temporal Localization of Video-level Labels

End-to-End Video Classification with Knowledge Graphs


Import, manipulate and explore the results of an Antares simulation


A lightweight header-only library for using Keras (TensorFlow) models in C++.

Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

Deeply learning deep inelastic scattering kinematics

A JIT Compiler for Neural Network Inference

Unweighting multijet event generation using factorisation-aware neural networks

A Framework for Semi-Automatic Precision and Accuracy Analysis for Fast and Rigorous Deep Learning

Error-correcting neural networks for semi-Lagrangian advection in the level-set method

End to end collision avoidance based on optical flow and neural networks

Constraining the Charm-Yukawa coupling at the Large Hadron Collider

Assessment of machine learning methods for state-to-state approaches


A python library for decision tree visualization and model interpretation.

Customized Monte Carlo Tree Search for LLVM/Polly's Composable Loop Optimization Transformations

From exemplar to copy: the scribal appropriation of a Hadewijch manuscript computationally explored

Strategizing University Rank Improvement using Interpretable Machine Learning and Data Visualization

SHARCS: Shared Concept Space for Explainable Multimodal Learning


Spatial and spectral models for astrophysics

Time-resolved GRB polarization with POLAR and GBM - Simultaneous spectral and polarization analysis with synchrotron emission

Is spectral width a reliable measure of GRB emission physics?

Proceedings of 7th International Fermi Symposium — PoS(IFS2017)

HAWC Study of the Ultra-high-energy Spectrum of MGRO J1908+06

A search for spectral hardening in HAWC sources above 56 TeV


Classical force field model for simulating atomic force microscopy images.

Ultrahigh-resolution imaging of water networks by atomic force microscopy

Principles and simulations of high-resolution STM imaging with a flexible tip apex

Real Space Visualization of Entangled Excitonic States in Charged Molecular Assemblies

Integrating Bayesian Inference with Scanning Probe Experiments for Robust Identification of Surface Adsorbate Configurations


Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Deep learning-based waste detection in natural and urban environments

Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

Efficient Super Resolution For Large-Scale Images Using Attentional GAN

Improving Adversarial Robustness via Unlabeled Out-of-Domain Data

Best of both worlds: local and global explanations with human-understandable concepts

Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching

An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

Investigating response time and accuracy in online classifier learning for multimedia publish-subscribe systems

Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments


Real-time updates and information about key SARS-CoV-2 variants, plus the scripts that generate this information.

Monitoring of SARS-CoV-2 infection in mustelids

EFSA journal. European Food Safety Authority

CoV2K model, a comprehensive representation of SARS-CoV-2 knowledge and data interplay

Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection

A systems approach evaluating the impact of SARS-CoV-2 variant of concern mutations on CD8+ T cell responses


Single-molecule localization microscopy

Nuclear pores as versatile reference standards for quantitative superresolution microscopy

Optimizing imaging speed and excitation intensity for single-molecule localization microscopy

Photoactivation of silicon rhodamines via a light-induced protonation

Identification of novel synaptonemal complex components in C. elegans

The journal of cell biology/The Journal of cell biology

Organotypic slice culture model demonstrates inter-neuronal spreading of alpha-synuclein aggregates

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy

Skp1 proteins are structural components of the synaptonemal complex inC. elegans


Machine Learning for Health python package

BMI-adjusted adipose tissue volumes exhibit depot-specific and divergent associations with cardiometabolic diseases

Patient contrastive learning: A performant, expressive, and practical approach to electrocardiogram modeling

Selection of 51 predictors from 13,782 candidate multimodal features using machine learning improves coronary artery disease prediction

Cross-modal autoencoder framework learns holistic representations of cardiovascular state

Silhouette images enable estimation of body fat distribution and associated cardiometabolic risk

Deep learning to estimate cardiac magnetic resonance–derived left ventricular mass


MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.

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

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

Applications of Large Scale Foundation Models for Autonomous Driving

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and
  DeepSpeed-Inference


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


A Framework for Encrypted Machine Learning in TensorFlow

CrypTFlow: Secure TensorFlow Inference

SIRNN: A Math Library for Secure RNN Inference

Private Machine Learning in TensorFlow using Secure Computation

Substra: a framework for privacy-preserving, traceable and collaborative
  Machine Learning

A Comprehensive Survey on Trustworthy Recommender Systems

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

Towards Secure and Practical Machine Learning via Secret Sharing and
  Random Permutation

Crypto-Oriented Neural Architecture Design


scrape data from the itunes app store

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis

Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19

Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

Growth in the development of health and fitness mobile apps amid COVID-19 pandemic

Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany

Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia

International journal of environmental research and public health


Language Technology Platform

TENER: Adapting Transformer Encoder for Named Entity Recognition

Event-Driven Emotion Cause Extraction with Corpus Construction

Molding CNNs for text: non-linear, non-consecutive convolutions

N-LTP: An Open-source Neural Language Technology Platform for Chinese

Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs

A Reinforced Generation of Adversarial Examples for Neural Machine Translation

Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism

International Conference on Computational Linguistics

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

The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

C3KG: A Chinese Commonsense Conversation Knowledge Graph


Toolkit for Monte Carlo simulation of ionizing radiation — Trousse d'outils logiciels pour la simulation Monte Carlo du rayonnement ionisant

Small field output correction factors of the microSilicon detector and a deeper understanding of their origin by quantifying perturbation factors

Medical physics on CD-ROM/Medical physics

Monte Carlo calculation of quality correction factors based on air kerma and absorbed dose to water in medium energy x-ray beams

A Monte Carlo Platform for Characterization of X-Ray Radiation Dose in CT Imaging

Journal of biomedical physics and engineering


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


Liquid Tensor Experiment

The Lean 4 Theorem Prover and Programming Language

Proof Artifact Co-training for Theorem Proving with Language Models

On a density conjecture about unit fractions


INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.

From word models to executable models of signaling networks using automated assembly

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

North American Chapter of the Association for Computational Linguistics

INDRA-IPM: interactive pathway modeling using natural language with automated assembly

Exploration and Discovery of the COVID-19 Literature through Semantic Visualization

Automated assembly of molecular mechanisms at scale from text mining and curated databases


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

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

An Overview of Multi-Task Learning in Deep Neural Networks

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

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction

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

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


python package for analyzing general circulation model output data


GCAM -- The Global Change Analysis Model

A plant-by-plant strategy for high-ambition coal power phaseout in China

GCAM v5.1: Representing the linkages between energy, water, land,
climate, and economic systems

Air pollution control strategies directly limiting national health damages in the US

Fusing subnational with national climate action is central to decarbonization: the case of the United States

The role of direct air capture and negative emissions technologies in the shared socioeconomic pathways towards +1.5 °C and +2 °C futures

The role of negative emissions in meeting China’s 2060 carbon neutrality goal

Impacts of long-term temperature change and variability on electricity investments

Climate and carbon budget implications of linked future changes in CO2 and non-CO2 forcing

1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100

The Paris pledges and the energy-water-land nexus in Latin America: Exploring implications of greenhouse gas emission reductions


A taxonomic toolbelt for R

taxize: taxonomic search and retrieval in R

Mapping the zoonotic niche of Ebola virus disease in Africa

Tapping into non-English-language science for the conservation of global biodiversity

A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses

Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information

Rocket Science: The Effect of Spaceflight on Germination Physiology, Ageing, and Transcriptome of Eruca sativa Seeds

Identifying Suspect Bat Reservoirs of Emerging Infections

Viral spillover risk increases with climate change in High Arctic lake sediments

ecocomDP: A flexible data design pattern for ecological community survey data

An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning


The Udacity open source self-driving car project

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

Self-Driving Cars: A Survey

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Efficient Formal Safety Analysis of Neural Networks

Is it Safe to Drive? An Overview of Factors, Metrics, and Datasets for Driveability Assessment in Autonomous Driving

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems


A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Learning Self-Game-Play Agents for Combinatorial Optimization Problems

Hyper-Parameter Sweep on AlphaZero General

Analysis of Hyper-Parameters for Small Games: Iterations or Epochs in Self-Play?

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time


: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

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

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

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

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

A highly multiplexed assay to monitor pathogenicity, fungicide resistance and gene flow in the fungal wheat pathogen Zymoseptoria tritici

Interpersonal Family Dynamics Relate to Hippocampal CA Subfield Structure

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


Medical Concept Annotation Tool

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation

MedCAT - Medical Concept Annotation Tool.

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset

Foresight -- Generative Pretrained Transformer (GPT) for Modelling of
  Patient Timelines using EHRs

Towards Generalizable Methods for Automating Risk Score Calculation

Workshop on Biomedical Natural Language Processing

Review of Natural Language Processing in Pharmacology

MedMine: Examining Pre-trained Language Models on Medication Mining


ARMORY Adversarial Robustness Evaluation Test Bed

Deep Partition Aggregation: Provable Defense against General Poisoning Attacks

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems

Representation Learning to Classify and Detect Adversarial Attacks against Speaker and Speech Recognition Systems

Perceptual-based deep-learning denoiser as a defense against adversarial attacks on ASR systems

Mel Frequency Spectral Domain Defenses against Adversarial Attacks on
  Speech Recognition Systems

SkeleVision: Towards Adversarial Resiliency of Person Tracking with
  Multi-Task Learning

Constraining the Attack Space of Machine Learning Models with
  Distribution Clamping Preprocessing


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

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

Learning Costs for Structured Monge Displacements


UAV Simulation Platform based on PX4, ROS and Gazebo

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of intelligent & robotic systems

XTDrone: A Customizable Multi-Rotor UAVs Simulation Platform

Implementation of UAV Coordination Based on a Hierarchical Multi-UAV Simulation Platform


GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms

Loss shaping enhances exact gradient learning with EventProp in Spiking
  Neural Networks

Estimating numerical error in neural network simulations on Graphics Processing Units

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST


ARCH models in Python

Toward Automated Benchmarking of Atomistic Force Fields: Neat Liquid Densities and Static Dielectric Constants from the ThermoML Data Archive

Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes

Forecasting Bitcoin Volatility Spikes from Whale Transactions and Cryptoquant Data Using Synthesizer Transformer Models


A Wikidata Python module integrating the MediaWiki API and the Wikidata SPARQL endpoint

Wikidata as a knowledge graph for the life sciences

Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation

WikiGenomes: an open web application for community consumption and curation of gene annotation data in Wikidata

Joint Open Knowledge Base Canonicalization and Linking

A protocol for adding knowledge to Wikidata, a case report

Lessons learned to boost a bioinformatics knowledge base reusability, the Bgee experience

Statistical Knowledge Assessment for Large Language Models

COMBO: A Complete Benchmark for Open KG Canonicalization


Larq Compute Engine: Design, Benchmark, and Deploy State-of-the-Art Binarized Neural Networks.

Bipolar Morphological Neural Networks: Gate-Efficient Architecture for Computer Vision


ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.


A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings

Empirical Methods in Natural Language Processing

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

Keyphrase Extraction from Disaster-related Tweets

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

Transliteration for Cross-Lingual Morphological Inflection

Special Interest Group on Computational Morphology and Phonology Workshop

Normalization and Back-Transliteration for Code-Switched Data

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults

International Conference on Natural Language and Speech Processing

Parser combinators for Tigrinya and Oromo morphology

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet


A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens


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


Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization

International Conference on Robotics and Automation

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

ADVIO: An authentic dataset for visual-inertial odometry

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

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

maplab 2.0 -- A Modular and Multi-Modal Mapping Framework

A Complete System for Vision-Based Micro-Aerial Vehicle Mapping, Planning, and Flight in Cluttered Environments

Long-term Large-scale Mapping and Localization Using maplab


Efficient phylogenomic software by maximum likelihood

A high-quality reference genome for the fission yeastSchizosaccharomyces osmophilus

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada


Libint: high-performance library for computing Gaussian integrals in quantum mechanics

ChemiQ: A Chemistry Simulator for Quantum Computer

Real-time Equation-of-Motion Coupled-Cluster Cumulant Green's Function
  Method: Heterogeneous Parallel Implementation Based on the Tensor Algebra for
  Many-body Methods Infrastructure

Computing and Compressing Electron Repulsion Integrals on FPGAs


Calculation engine for the Energy Transition Model


A Simulation Environment to train Robots in Large Realistic Interactive Scenes

iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes

Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday
  Household Tasks

A Survey on Human-aware Robot Navigation


A Complete Server implementation of the OGC SensorThings API

Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities

MONICA in Hamburg: Towards Large-Scale IoT Deployments in a Smart City

Thing Directory: Simple and lightweight registry of IoT device metadata

INTEGRATION OF HETEROGENEOUS CORONAVIRUS DISEASE COVID-19 DATA SOURCES USING OGC SENSORTHINGS API

International Conference Smart Data and Smart Cities

A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards

3D SAFE ROUTING NAVIGATION APPLICATION FOR PEDESTRIANS AND CYCLISTS BASED ON OPEN SOURCE TOOLS

IoT Workload Emulation for Data Centers


HElib is an open-source software library that implements homomorphic encryption. It supports the BGV scheme with bootstrapping and the Approximate Number CKKS scheme. HElib also includes optimizations for efficient homomorphic evaluation, focusing on effective use of ciphertext packing techniques and on the Gentry-Halevi-Smart optimizations.

Advances and Open Problems in Federated Learning

F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges

Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data

Survey on Fully Homomorphic Encryption, Theory, and Applications

Effective Activation Functions for Homomorphic Evaluation of Deep Neural Networks

Accelerating Fully Homomorphic Encryption Through Architecture-Centric Analysis and Optimization

FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption


The web application front end for Model My Watershed.


one for all, Optimal generator with No Exception

High-Resolution Image Synthesis with Latent Diffusion Models

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for
  Text-to-Image Diffusion Models

Scalable Diffusion Models with Transformers

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image
  Diffusion Models

VideoComposer: Compositional Video Synthesis with Motion Controllability

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

Multiscale Positive-Unlabeled Detection of AI-Generated Texts

FiT: Flexible Vision Transformer for Diffusion Model

Latte: Latent Diffusion Transformer for Video Generation


ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D

SIGVerse: A Cloud-Based VR Platform for Research on Multimodal Human-Robot Interaction

SEAN: Social Environment for Autonomous Navigation

Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots

Accuracy and Repeatability Tests on HoloLens 2 and HTC Vive

Augmented-Reality-Based Visualization of Navigation Data of Mobile
  Robots on the Microsoft Hololens -- Possibilities and Limitations

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

Design and Evaluation of an Augmented Reality Head-mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks

Programming Robots by Demonstration Using Augmented Reality

"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration

A Digital Smart City for Emerging Mobility Systems


:bar_chart: A universal enrichment tool for interpreting omics data

clusterProfiler 4.0: A universal enrichment tool for interpreting omics data

PRMD: an integrated database for plant RNA modifications

Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

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

Survival Analysis of Multi-Omics Data Identifies Potential Prognostic Markers of Pancreatic Ductal Adenocarcinoma

clusterProfiler: An universal enrichment tool for functional and comparative study

De novo transcriptome and phytochemical analyses reveal differentially expressed genes and characteristic secondary metabolites in the original oolong tea (Camellia sinensis) cultivar ‘Tieguanyin’ compared with cultivar ‘Benshan’

Integrated Analysis to Evaluate the Prognostic Value of Signature mRNAs in Glioblastoma Multiforme

Radiation increases COL1A1, COL3A1, and COL1A2 expression in breast cancer

Profiling mouse cochlear cell maturation using 10× Genomics single-cell transcriptomics

Single-cell profiling reveals pathogenic role and differentiation trajectory of granzyme K+CD8+ T cells in primary Sjögren’s syndrome


FlagAI (Fast LArge-scale General AI models) is a fast, easy-to-use and extensible toolkit for large-scale model.

AltCLIP: Altering the Language Encoder in CLIP for Extended Language
  Capabilities

FinEval: A Chinese Financial Domain Knowledge Evaluation Benchmark for
  Large Language Models

Understanding LLMs: A Comprehensive Overview from Training to Inference

AraMUS: Pushing the Limits of Data and Model Scale for Arabic Natural Language Processing