JOSS Papers: machine-learning

All Papers
1824
 Published Papers
1636
 Active Papers
188
published Published 16 days ago

AdaptiveResonance.jl: A Julia Implementation of Adaptive Resonance Theory (ART) Algorithms

Julia
@AP6YC
10.21105/joss.03671
published Published about 1 month ago

swift-emulator: A Python package for emulation of simulated scaling relations

Python
@Moyoxkit
10.21105/joss.04240
published Published about 2 months ago

ADaPT-ML: A Data Programming Template for Machine Learning

Dockerfile Python Batchfile
@nulberry
10.21105/joss.04038
published Published about 2 months ago

PyNumDiff: A Python package for numerical differentiation of noisy time-series data

Python
@florisvb
10.21105/joss.04078
published Published 2 months ago

HARDy: Handling Arbitrary Recognition of Data in Python

Python
@MariaPoliti
10.21105/joss.03829
published Published 3 months ago

NeuralHydrology --- A Python library for Deep Learning research in hydrology

Python
@kratzert
10.21105/joss.04050
published Published 4 months ago

PySINDy: A comprehensive Python package for robust sparse system identification

Python
@akaptano
10.21105/joss.03994
published Published 4 months ago

Delve: Neural Network Feature Variance Analysis

Python
@justinshenk
10.21105/joss.03992
published Published 5 months ago

medoutcon: Nonparametric efficient causal mediation analysis with machine learning in R

R
@nhejazi
10.21105/joss.03979
published Published 5 months ago

CCA-Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic CCA methods in a scikit-learn style framework

Python
@jameschapman19
10.21105/joss.03823
Displaying papers 1 - 10 of 112 in total

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