Visualization for Flux.Chain neural networks

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Transformations to contrained variables from ℝⁿ.

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

A Julia library for handling MIDI files

Hyperparameter optimization algorithms for use in the MLJ machine learning framework

Turing + Makie = Turkie

Restricted Boltzmann Machines in Julia

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

Cartesian Genetic Programming for Julia

Implementation of the Deep Q-learning algorithm to solve MDPs

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

Numerous tools for text processing

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

A julia package for representing and manipulating model semantics

Machine learning kernels in Julia.

Machine learning kernels in Julia.

Home of the MLJ model registry and tools for model queries and mode code loading

Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)

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

Unofficial Julia bindings for logging experiments to wandb.ai

A Julia package for interpretable machine learning with stochastic Shapley values

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

Build flexible hierarchical multi-instance learning models.

LIBSVM bindings for Julia

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

A Julia package for non-negative matrix factorization

Bayesian optimization for Julia

A rewrite of Julia's parser in Julia

OpenAI API wrapper for Julia

Beta Machine Learning Toolkit

Julia FFI interface to Microsoft's LightGBM package

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

High performance tokenizers for natural language processing and other related tasks

High-performance reactive message-passing based Bayesian inference engine

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

Easy peasy logging to TensorBoard with Julia

Utility package for generating, loading, splitting, and processing Machine Learning datasets

Explainable AI in Julia.

Starter kit for legendary models