[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
OTHER License
Statistics for this project are still being loaded, please check back later.
JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Multi-language suite for high-performance solvers of differential equations and scientific machin...
A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.
A foolproof way of doing ML with GUI elements.
Please do not feed the models
A comprehensive QTL analysis tool by multivariate linear mixed model.
Repository of best practices for deep learning in Julia, inspired by fastai
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Data science and numerical computing with Julia
Simple & fast linear regression in Julia
Collection of tutorials on Julia
Implementation of a Partial Least Squares Regressor
A Julia machine learning framework