JOSS Papers: edited by @espottesmith

Published Papers

published Published 9 days ago

SPARC: An Automated Workflow Toolkit for Accelerated Active Learning of Reactive Machine Learning Interatomic Potentials

Python

10.21105/joss.09468

published Published 12 days ago

NPLinker 2: a modular and customizable framework for paired omics analyses

Python Mustache

@justinjjvanderhooft

10.21105/joss.09528

published Published 13 days ago

Lumabi: a Python package to streamline the computation of phonon-resolved luminescence spectra of defects and dopants in solids

Python Jupyter Notebook

10.21105/joss.09145

published Published about 2 months ago

Chemical Recommender System: Replacement Suggestions for Small Molecules

Python JavaScript

10.21105/joss.09339

published Published 2 months ago

IdentityByDescentDispersal.jl: Inferring dispersal rates with identity-by-descent blocks

Python Julia Slim

10.21105/joss.09517

published Published 4 months ago

PureML: a transparent NumPy-only deep learning framework for teaching and prototyping

Python

@Yehor-Mishchyriak

10.21105/joss.09631

published Published 5 months ago

Fiats: Functional inference and training for surrogates

Fortran C

10.21105/joss.08785

published Published 6 months ago

exa-AMD: A Scalable Workflow for Accelerating AI-Assisted Materials Discovery and Design

Python

10.21105/joss.08879

published Published 6 months ago

StateSpaceDynamics.jl: A Julia package for probabilistic state space models (SSMs)

Julia

10.21105/joss.08077

published Published 7 months ago

BONSAI: A framework for processing and analysing Electronic Health Records (EHR) data using transformer-based models

Python

10.21105/joss.08869

Displaying papers 1 - 10 of 17 in total

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