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

Utility package for accessing common Machine Learning datasets in Julia

Abstractions for Julia Machine Learning Packages

Abstract interface of ScikitLearn.jl

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

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

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

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

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.

A Julia library for handling MIDI files

A deep learning library for Julia based on Caffe

Loader of svmlight / liblinear format files

Exact Soft Confidence-Weighted Learning

Machine learning for sequential/streaming data

A reliable leaderboard algorithm for machine learning competitions

Differentially private synthetic data

Truncated singular value decomposition with partial reorthogonalization

Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014

Base framework library for machine learning packages.

A Julia package for data discretization and label maps

Machine learning kernels in Julia.

Machine learning kernels in Julia.

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KDTrees for julia

Utility functions for the FunctionalData package, mainly from the area of computer vision / machine learning

Experimental automated machine learning for Julia.

Bayesian Non-negative Matrix Factorization

Confidence weighted classifier

Gradient boosting framework for Julia.

OLLAM: Online Learning of Linear Adaptable Models

Extreme Learning Machine in julia

DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia