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
Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.
A Julia package for data clustering
Julia implementation of Decision Tree (CART) and Random Forest algorithms
Julia solvers for systems of nonlinear equations and mixed complementarity problems
Julia interface to SymPy via PyCall
Deep Learning for Julia
Utility package for accessing common Machine Learning datasets in Julia
Julia port of L.J.P. van der Maaten and G.E. Hintons T-SNE visualisation technique.
Julia Machine Learning library
A Julia framework for delayed expression evaluation
Computational algebraic number theory
Julia package of loss functions for machine learning.
Machine learning kernels in Julia.
A Julia package for non-negative matrix factorization
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Julia interface to the GNU Scientific Library (GSL)
LIBSVM bindings for Julia
A neural network in Julia
Heterogeneous ensemble learning for Julia.
Differentially private synthetic data
Unum arithmetic in Julia
BayesianNonparametrics in julia
Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
Utility package for working with classification targets and label-encodings
A generic and modular framework for building custom iterative algorithms in Julia