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"Maybe we have our own magic."

Julia interface to GloVe

Hard-Forked from JuliaText/TextAnalysis.jl

Burkhard-Keller trees implementation

Julia API for ConceptNetNumberbatch

Dependency parsing in Julia

A simple function, why, which gives randomly generated answers (please note that not all answers might be helpful).

Run keras models with a Flux backend

Read ONNX graphs in Julia

Machine Learning in Julia

Empirical Risk Minimization in Julia.

Baseline collective classification library

Uniform interface for machine learning in Julia

Sum-product networks in Julia.

Example of distributed learning in Julia

Julia tools for feeding tabular data into machine learning.

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

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

Utility package for working with classification targets and label-encodings

BayesianNonparametrics in julia

Utility package for accessing common Machine Learning datasets in Julia

A variety of loaders for various NLP corpora.

Abstractions for Julia Machine Learning Packages

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

Abstract interface of ScikitLearn.jl

Julia implementation of the scikit-learn API

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

Utilities for English-language quirks in Julia

Gradient based Machine Learning for Julia

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Deep Learning for Julia

A Julia wrapper for TensorFlow

Utilities to efficiently track learning curves or other optimization information

A spiking neural network simulator written in Julia.

Julia package of loss functions for machine learning.

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

LIBLINEAR bindings for Julia

MXNet Julia Package - flexible and efficient deep learning in Julia

Koç University deep learning framework.