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

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

Unofficial Julia bindings for logging experiments to wandb.ai

Explainable AI in Julia.

A foolproof way of doing ML with GUI elements.

Starter kit for legendary models

Turing + Makie = Turkie

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

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

Automatic probabilistic programming for scientific machine learning and dynamical models

Abstract types and methods for Gaussian Processes.

Beta Machine Learning Toolkit

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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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

Julia FFI interface to Microsoft's LightGBM package

Reservoir computing utilities for scientific machine learning (SciML)

Lightweight package to interface with MLJ

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

High-performance reactive message-passing based Bayesian inference engine

Pure Julia implementations of single-pass object detection neural networks.

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Julia bindings for the Enzyme automatic differentiator

"Maybe we have our own magic."

Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)