Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R

Julia package for kernel functions for machine learning

Julia for Machine Learning course at TU Berlin

Manuscript of the book "Supervised Machine Learning for Text Analysis in R" by Emil Hvitfeldt and Julia Silge

Utility package for accessing common Machine Learning datasets in Julia

Julia package of loss functions for machine learning.

A fast image augmentation library in Julia for machine learning.

:snowflake: :whale: Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc

A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language

A template for research projects in computer science/machine learning using python and julia

A Julia package for interpretable machine learning with stochastic Shapley values

Global documentation for the Julia SciML Scientific Machine Learning Organization

Tutorial code for Machine Learning and Optimization written in julia

A collection of tools for chemometrics and machine learning written in Julia.

Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.

Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)

SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia

A Julia package that efficiently creates representative datasets for machine learning approaches to AC optimal power flow

A Julia interface for training and applying models in machine learning and statistics

Julia code for Probabilistic Machine Learning

A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)

Notebooks for introducing the machine learning toolbox MLJ (Machine Learning in Julia)

Julia package of regularization functions for machine learning

It's Angular2 business in the front, and a Julia party in the back! It's scientific machine learning (SciML) for the web

Metrics for scoring machine learning models in Julia

A Julia Package for Machine Learning on the Riemannian Manifold of Positive Definite Matrices

Simple differential equation solvers in native Julia for scientific machine learning (SciML)

Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)