Deep Learning framework for Julia
Koç University deep learning framework.
Relax! Flux is the ML library that doesn't make you tensor
A Julia wrapper for TensorFlow
MXNet Julia Package - flexible and efficient deep learning in Julia
Julia implementation of the scikit-learn API
Deep Learning for Julia
Julia implementation of Decision Tree (CART) and Random Forest algorithms
A Julia package for data clustering
Julia Machine Learning library
Julia package of loss functions for machine learning.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Utility package for accessing common Machine Learning datasets in Julia
Machine learning kernels in Julia.
A Julia package for non-negative matrix factorization
A neural network in Julia
Heterogeneous ensemble learning for Julia.
LIBSVM bindings for Julia
Differentially private synthetic data
A generic and modular framework for building custom iterative algorithms in Julia
The k-nearest neighbors algorithm in Julia
KDTrees for julia
Utility package for working with classification targets and label-encodings
BayesianNonparametrics in julia
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
Gradient boosting framework for 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
Hopfield networks in Julia