Deep Learning framework for Julia
Koç University deep learning framework.
MXNet Julia Package - flexible and efficient deep learning in Julia
A Julia wrapper for TensorFlow
Relax! Flux is the ML library that doesn't make you tensor
Julia implementation of the scikit-learn API
Deep Learning for Julia
Decision Tree Classifier and Regressor
A Julia package for data clustering
Julia Machine Learning library
MDPs and POMDPs in Julia - An interface for working with discrete and continuous, fully and partially observable Markov decision processes.
Julia package of loss functions for machine learning.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Heterogeneous ensemble learning for Julia.
A Julia package for non-negative matrix factorization
A neural network in Julia
Machine learning kernels in Julia.
LIBSVM bindings for Julia
Differentially private synthetic data
The k-nearest neighbors algorithm in Julia
KDTrees for julia
Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia
Abstractions for Julia Machine Learning Packages
Hopfield networks in Julia
Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia
BayesianNonparametrics in julia
Gradient boosting framework for Julia.
Utility package for working with classification targets and label-encodings
Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014
A Julia package for data discretization and label maps