JOSS Papers: machine learning

All Papers
1203
 Published Papers
1032
 Active Papers
171
published Published 2 days ago

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Python JavaScript Jupyter Notebook
@jonasrauber
10.21105/joss.02607
published Published 3 days ago

hal9001: Scalable highly adaptive lasso regression in R

R C++
@nhejazi
10.21105/joss.02526
published Published 12 days ago

Caliban: Docker-based job manager for reproducible workflows

Python
@sritchie
10.21105/joss.02403
published Published 29 days ago

causal-curve: A Python Causal Inference Package to Estimate Causal Dose-Response Curves

Python
@ronikobrosly
10.21105/joss.02523
published Published 2 months ago

HOOMD-TF: GPU-Accelerated, Online Machine Learning in the HOOMD-blue Molecular Dynamics Engine

C++ Cuda Python
@RainierBarrett
10.21105/joss.02367
published Published 3 months ago

Chemiscope: interactive structure-property explorer for materials and molecules

JavaScript TypeScript
@luthaf
10.21105/joss.02117
published Published 3 months ago

Sensie: Probing the sensitivity of neural networks

Python
@coljac
10.21105/joss.02180
published Published 4 months ago

niacin: A Python package for text data enrichment

Python
@deniederhut
10.21105/joss.02136
published Published 4 months ago

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Python
@So-Cool
10.21105/joss.01904
published Published 4 months ago

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Python
@briandesilva
10.21105/joss.02104
Displaying papers 1 - 10 of 72 in total

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ISSN 2475-9066