JOSS Papers: machine-learning

All Papers
4094
 Published Papers
3714
 Active Papers
380
published Published 6 days ago

GeoWombat: Scalable geospatial and remote sensing analysis in Python

Meson Python Jupyter Notebook Cython
@mmann1123
10.21105/joss.10812
published Published 11 days ago

TanML: Automated Model Validation Toolkit for Tabular Machine Learning Models

Python
@tradertanmay
10.21105/joss.11253
published Published 12 days ago

StatsPAI: A Unified, Agent-Native Python Toolkit for Causal Inference and Applied Econometrics

Python R Stata Rust
@brycewang-stanford
10.21105/joss.10604
published Published 13 days ago

OpenTURNS: A Python package for uncertainty quantification

C++ NSIS
@mbaudin47
10.21105/joss.10484
published Published 20 days ago

MeshFL: A Federated MeshNet Framework for 3D Brain MRI Segmentation

Python
@Mmasoud1
10.21105/joss.09357
published Published 20 days ago

AutoEmulate: A PyTorch tool for end-to-end emulation workflows

Python Jupyter Notebook
@sgreenbury
10.21105/joss.10087
published Published 20 days ago

Category Encoders: a scikit-learn-contrib package of transformers for encoding categorical data

Python
@wdm0006
10.21105/joss.10645
published Published 21 days ago

Eegle: An open-source Julia integrative package for EEG data analysis and machine learning

Julia
@Marco-Congedo
10.21105/joss.10388
published Published 28 days ago

FIRECODE: A Computational Chemistry Workflow Driver and Modular Hub

Python
@ntampellini
10.21105/joss.10698
published Published about 1 month ago

bde: A Python Package for Bayesian Deep Ensembles via MILE

Python Jupyter Notebook
@EmanuelSommer
10.21105/joss.10653
Displaying papers 1 - 10 of 298 in total

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ISSN 2475-9066