Allow use of Theano for automatic differentiation within Mocha, via PyCall

Julia package of loss functions for machine learning.

Utilities to efficiently track learning curves or other optimization information

A Julia wrapper for TensorFlow

Deep Learning for Julia

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Gradient based Machine Learning for Julia

Julia implementations of the Hilbert-Schmidt Independence Criterion (HSIC)

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

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

Abstract interface of ScikitLearn.jl

Abstractions for Julia Machine Learning Packages

Utility package for accessing common Machine Learning datasets in Julia

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

BayesianNonparametrics in julia

Utility package for working with classification targets and label-encodings

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

A generic and modular framework for building custom iterative algorithms in Julia

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

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

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

Julia tools for feeding tabular data into machine learning.

Cartesian Genetic Programming for Julia

Uniform interface for machine learning in Julia

Baseline collective classification library

Evaluating Robustness of Neural Networks with Mixed Integer Programming

Empirical Risk Minimization in Julia.

Machine Learning in Julia

A Julia package for training and evaluating multimodal deep Boltzmann machines

I heard you like compile times

Gaussian Process package based on data augmentation, sparsity and natural gradients

Computer vision models for Flux

Build flexible hierarchical multi-instance learning models.

Run keras models with a Flux backend

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

Transformations to contrained variables from ℝⁿ.

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

Reverse-mode automatic differentiation 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