Repository housing feature selection algorithms for use with the machine learning toolbox MLJ.

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Workshop materials for training in scientific computing and scientific machine learning

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

OpenAI API wrapper for Julia

Elegant & Performant Scientific Machine Learning in Julia

Software and high-level API for offline, low latency and secure translation of human speech to computer commands or text on Linux, MacOS and Windows

Differentiate python calls from Julia

Utilities and abstractions for Machine Learning tasks

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

A differentiable physics engine for robotics

Simple chains

Graph Neural Networks in Julia

A flexible data structure for multi-input multi-output models

FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.

Unofficial Julia bindings for logging experiments to wandb.ai

Visualization for Flux.Chain neural networks

Explainable AI in Julia.

A foolproof way of doing ML with GUI elements.

Starter kit for legendary models

Turing + Makie = Turkie

Help! I'm lost in the flatland!

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

A minimal reinforcement learning environment interface with additional opt-in features.

A fast TOML parser for TOML 1.0 written in Julia

Repository of best practices for deep learning in Julia, inspired by fastai

Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.

Automatic probabilistic programming for scientific machine learning and dynamical models

Abstract types and methods for Gaussian Processes.

Beta Machine Learning Toolkit

Complex neural network examples for Flux.jl

Flexible data augmentation library for machine and deep learning

A flexible neural net training library inspired by fast.ai

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

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A Julia framework for invertible neural networks

Sensible extensions for exposing torch in Julia.

Generic UNet implementation written in pure Julia, based on Flux.jl

A Julia package for interpretable machine learning with stochastic Shapley values