An unofficial Julia wrapper for the RAPIDS.ai ecosystem using PythonCall.jl
MIT License
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Published by tylerjthomas9 almost 2 years ago
Bump RAPIDS to 22.10, improve MLJ interface
Please do not feed the models
CPU/GPU parallel performance portable layer in Julia via functions as arguments
A Julia framework for invertible neural networks
Linear Regression for Julia
Implementation of a Partial Least Squares Regressor
CUDA programming in Julia.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Factorization of Symmetric Matrices
Darcy flow and reservoir simulator based on Jutul.jl
[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Data Structures for Optimization Models
Simple & fast linear regression in Julia
Multi-language suite for high-performance solvers of differential equations and scientific machin...
Julia's CUTEst Interface