Koç University deep learning framework.
A Julia wrapper for TensorFlow
Julia implementation of the scikit-learn API
MXNet Julia Package - flexible and efficient deep learning in Julia
Julia implementation of Decision Tree (CART) and Random Forest algorithms
A Julia package for data clustering
Deep Learning for Julia
Julia Machine Learning library
Utility package for accessing common Machine Learning datasets in Julia
Julia package of loss functions for machine learning.
Machine learning kernels in Julia.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
A Julia package for non-negative matrix factorization
LIBSVM bindings for Julia
A neural network in Julia
Heterogeneous ensemble learning for Julia.
Differentially private synthetic data
Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
BayesianNonparametrics in julia
A generic and modular framework for building custom iterative algorithms in Julia
Utility package for working with classification targets and label-encodings
KDTrees for julia
The k-nearest neighbors algorithm in Julia
Gradient boosting framework for Julia.
Truncated singular value decomposition with partial reorthogonalization
Abstractions for Julia Machine Learning Packages
DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia
Utilities to efficiently track learning curves or other optimization information
Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014
Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia