A neural network in Julia
BayesianNonparametrics in julia
Bayesian Non-negative Matrix Factorization
confidence weighted classifier
Experimental automated machine learning for Julia.
A julia binding to the C++ discrete approximate inference library for graphical models: libDAI
A Julia package for data discretization and label maps
Extreme Learning Machine in julia
Empirical Risk Minimization in Julia.
Common measures and algorithms for feature selection
Gradient based Machine Learning for Julia
Utility functions for the FunctionalData package, mainly from the area of computer vision / machine learning
A deep learning based Go bot implemented in Julia
Gradient boosting framework for Julia.
Hopfield networks in Julia
Machine Learning in Julia
Run keras models with a Flux backend
Koรง University deep learning framework.
The k-nearest neighbors algorithm in Julia
Kernel SVM written in Julia
Support Vector Machines (SVM) in pure Julia
A reliable leaderboard algorithm for machine learning competitions
A generic and modular framework for building custom iterative algorithms in Julia
Liblinear binding to Julia
Julia package of loss functions for machine learning.
Julia Machine Learning library
Deep Learning for Julia
Automatic probabilistic programming for scientific machine learning and dynamical models
Utility package for accessing common Machine Learning datasets in Julia
A Julia machine learning framework
Machine learning kernels in Julia.
Utility package for working with classification targets and label-encodings
MXNet Julia Package - flexible and efficient deep learning in Julia
Baseline collective classification library
OLLAM: Online Learning of Linear Adaptable Models
Machine learning for sequential/streaming data
Heterogeneous ensemble learning for Julia.
Simple particle filter implementation in Julia - works with POMDPs.jl models or others.
Uniform interface for machine learning in Julia
Differentially private synthetic data
Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, โProjective Dictionary Pair Learning for Pattern Classification,โ In NIPS 2014
Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia
Abstract interface of ScikitLearn.jl
Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/
Textbook implementations of some Machine Learning Algorithms in Julia.
Exact Soft Confidence-Weighted Learning
A deep learning library for Julia based on Caffe
Loader of svmlight / liblinear format files
A Julia wrapper for TensorFlow
Julia tools for feeding tabular data into machine learning.
Utilities to efficiently track learning curves or other optimization information
21st century AD