Julia bindings for the Enzyme automatic differentiator

Elegant & Performant Scientific Machine Learning in Julia

Explainable AI in Julia.

Julia FFI interface to Microsoft's LightGBM package

Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

Deep Learning framework for Julia

A flexible neural net training library inspired by fast.ai

Graph Neural Networks in Julia

Relax! Flux is the ML library that doesn't make you tensor

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

BrainFlow is a library intended to obtain, parse and analyze EEG, EMG, ECG and other kinds of data from biosensors

A Julia machine learning framework

Julia Implementation of Transformer 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.

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

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

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

Computer vision models for Flux

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

Koç University deep learning framework.

A generic, simple and fast implementation of Deepmind's AlphaZero algorithm.

A parser combinator library for Julia

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

A Julia package for training and evaluating multimodal deep Boltzmann machines

Easy peasy logging to TensorBoard with Julia

Julia package of loss functions for machine learning.

Complex neural network examples for Flux.jl

Wrapping deep learning models from the package Flux.jl for use in the MLJ.jl toolbox

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

TopicModels for Julia

Julia package for text analysis

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

Abstract types and methods for Gaussian Processes.

Flexible data augmentation library for machine and deep learning

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

Neural Network primitives with multiple backends

Julia implementation of Decision Tree (CART) and Random Forest algorithms

Boosted trees in Julia

A differentiable physics engine for robotics