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
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
A neural network in Julia
Heterogeneous ensemble learning for Julia.
LIBSVM bindings for Julia
Differentially private synthetic data
Utility package for working with classification targets and label-encodings
BayesianNonparametrics in julia
A generic and modular framework for building custom iterative algorithms in Julia
KDTrees for julia
Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
Truncated singular value decomposition with partial reorthogonalization
DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) 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
Abstractions for Julia Machine Learning Packages
Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia
Hopfield networks in Julia
A Julia package for data discretization and label maps