Deep Learning framework for Julia
Relax! Flux is the ML library that doesn't make you tensor
Koç University deep learning framework.
A Julia wrapper for TensorFlow
MXNet Julia Package - flexible and efficient deep learning in Julia
Julia implementation of the scikit-learn API
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Deep Learning for Julia
A Julia package for data clustering
Julia Machine Learning library
Julia package of loss functions for machine learning.
Utility package for accessing common Machine Learning datasets in Julia
Machine learning kernels in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
A Julia package for non-negative matrix factorization
A neural network in Julia
Heterogeneous ensemble learning for Julia.
Differentially private synthetic data
LIBSVM bindings for Julia
A reinforcement learning package for Julia
A generic and modular framework for building custom iterative algorithms in Julia
The k-nearest neighbors algorithm in Julia
Utility package for working with classification targets and label-encodings
BayesianNonparametrics in julia
KDTrees for julia
DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia
Abstractions for Julia Machine Learning Packages
Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia
Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014
Gradient boosting framework for Julia.