JOSS Papers: machinelearning

Published Papers

published Published 1 day ago

MACE: a Machine-learning Approach to Chemistry Emulation

Jupyter Notebook Python

10.21105/joss.07148

published Published 1 day ago

aweSOM: a CPU/GPU-accelerated Self-organizing Map and Statistically Combined Ensemble Framework for Machine-learning Clustering Analysis

Python

10.21105/joss.07613

published Published 2 days ago

Potnia: A Python library for the conversion of transliterated ancient texts to Unicode

Python

10.21105/joss.07725

published Published 12 days ago

AutoEmulate: A Python package for semi-automated emulation

Python Jupyter Notebook

10.21105/joss.07626

published Published about 1 month ago

FTorch: a library for coupling PyTorch models to Fortran

Fortran

10.21105/joss.07602

published Published about 2 months ago

DeepBench: A simulation package for physical benchmarking data

Python Jupyter Notebook

10.21105/joss.06774

published Published 2 months ago

BART-Survival: A Bayesian machine learning approach to survival analyses in Python

Python Jupyter Notebook

10.21105/joss.07213

published Published 3 months ago

SBIAX: Density-estimation simulation-based inference in JAX

Python Roff

10.21105/joss.07606

published Published 3 months ago

'StreamPoseML' An End-to-End Open-Source Web Application and Python Toolkit for Real-Time Video Pose Classification and Machine Learning

Starlark Python

10.21105/joss.06392

published Published 5 months ago

cifkit: A Python package for coordination geometry and atomic site analysis

Python Jupyter Notebook

10.21105/joss.07205

Displaying papers 1 - 10 of 222 in total

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