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

Numerous tools for text processing

Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework

Implementation of the Deep Q-learning algorithm to solve MDPs

Cartesian Genetic Programming for Julia

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Restricted Boltzmann Machines in Julia

Turing + Makie = Turkie

A Julia library for handling MIDI files

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

A operator overloading, tape-based, reverse-mode AD

Transformations to contrained variables from ℝⁿ.

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Visualization for Flux.Chain neural networks

Julia interface to word2vec

Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning

Use Optim to train Flux models and visualize loss landscapes

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

Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms

Differentiate python calls from Julia

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.

A package for working with human languages

Julia artificial neural networks

Approximate Bayesian Computation (ABC) algorithms for likelihood free inference in julia

Online solver based on Monte Carlo tree search for POMDPs with continuous state, action, and observation spaces.

A foolproof way of doing ML with GUI elements.

Flux's ex AD

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

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A neural network in Julia

"Maybe we have our own magic."

Help! I'm lost in the flatland!

Differentially private synthetic data

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

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

Renamed to Avalon.jl

Heterogeneous ensemble learning for Julia.

Import/export ONNX models

Create ensembles of machine learning models from scikit-learn, caret, and julia

I heard you like compile times