High-level, high-performance dynamic language for technical computing
Beta Machine Learning Toolkit
Differentiating convex optimization programs w.r.t. program parameters
Repository of best practices for deep learning in Julia
Interactive error messages for the Julia REPL
Causal inference, graphical models and structure learning in Julia
Core functionality for the MLJ machine learning framework
A reinforcement learning package for Julia
Combinatorial optimization layers for machine learning pipelines
Lightweight and easy generation of quasi-Monte Carlo sequences
Graph Neural Networks in Julia
Benchmarks for scientific machine learning (SciML) software
A package for Counterfactual Explanations and Algorithmic Recourse
Parameterise all the things
Universal modeling and simulation of fluid mechanics upon ML
Computer vision models for Flux
A scientific machine learning (SciML) wrapper for the FEniCS
Extension functionality which uses Stan.jl, DynamicHMC.jl
Reservoir computing utilities for scientific machine learning (SciML)
Julia DataFrames serialization format
Probabilistic Circuits from the Juice library
Julia package of loss functions for machine learning
Julia Devito inversion
The Base interface of the SciML ecosystem
Uniform Interface for positive definite matrices of various structures