Deep Learning framework for Julia
Koç University deep learning framework.
A Julia wrapper for TensorFlow
MXNet Julia Package - flexible and efficient deep learning in Julia
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
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating discrete and continuous, fully and partially observable Markov decision processes.
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
A Julia package for non-negative matrix factorization
A neural network in Julia
Heterogeneous ensemble learning for Julia.
Machine learning kernels in Julia.
Utility package for accessing common Machine Learning datasets 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
BayesianNonparametrics in julia
Utility package for working with classification targets and label-encodings
Hopfield networks in Julia
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.