Koç University deep learning framework.
A Julia wrapper for TensorFlow
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
MXNet Julia Package - flexible and efficient deep learning in Julia
A Julia package for data clustering
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Deep Learning for Julia
Utility package for accessing common Machine Learning datasets in Julia
Julia Machine Learning library
Julia package of loss functions for machine learning.
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Machine learning kernels in Julia.
A Julia package for non-negative matrix factorization
LIBSVM bindings for Julia
A neural network in Julia
Differentially private synthetic data
Heterogeneous ensemble learning for Julia.
Utility package for working with classification targets and label-encodings
BayesianNonparametrics in julia
Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
A generic and modular framework for building custom iterative algorithms in Julia
Truncated singular value decomposition with partial reorthogonalization
KDTrees for julia
Gradient boosting framework for Julia.
The k-nearest neighbors algorithm in Julia
Utilities to efficiently track learning curves or other optimization information
DEPRECATED: Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) 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
Abstractions for Julia Machine Learning Packages
A Julia package for data discretization and label maps