https://github.com/josephmisiti/awesome-machine-learning#julia-nlp Julia General-Purpose Machine Learning MachineLearning - Julia Machine Learning library
MLBase - A set of functions to support the development of machine learning algorithms
PGM - A Julia framework for probabilistic graphical models.
DA - Julia package for Regularized Discriminant Analysis
Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression)
Local Regression - Local regression, so smooooth!
Naive Bayes - Simple Naive Bayes implementation in Julia
Mixed Models - A Julia package for fitting (statistical) mixed-effects models
Simple MCMC - basic mcmc sampler implemented in Julia
Distance - Julia module for Distance evaluation
Decision Tree - Decision Tree Classifier and Regressor
Neural - A neural network in Julia
MCMC - MCMC tools for Julia
Mamba - Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia
GLM - Generalized linear models in Julia
Online Learning
GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
Clustering - Basic functions for clustering data: k-means, dp-means, etc.
SVM - SVM’s for Julia
Kernal Density - Kernel density estimators for julia
Dimensionality Reduction - Methods for dimensionality reduction
NMF - A Julia package for non-negative matrix factorization
ANN - Julia artificial neural networks
Mocha - Deep Learning framework for Julia inspired by Caffe
XGBoost - eXtreme Gradient Boosting Package in Julia
ManifoldLearning - A Julia package for manifold learning and nonlinear dimensionality reduction
MXNet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more.
Merlin - Flexible Deep Learning Framework in Julia
ROCAnalysis - Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
GaussianMixtures - Large scale Gaussian Mixture Models
ScikitLearn - Julia implementation of the scikit-learn API
Knet - Koç University Deep Learning Framework Natural Language Processing Topic Models - TopicModels for Julia
Text Analysis - Julia package for text analysis Data Analysis / Data Visualization Graph Layout - Graph layout algorithms in pure Julia
LightGraphs - Graph modeling and analysis
Data Frames Meta - Metaprogramming tools for DataFrames
Julia Data - library for working with tabular data in Julia
Data Read - Read files from Stata, SAS, and SPSS
Hypothesis Tests - Hypothesis tests for Julia
Gadfly - Crafty statistical graphics for Julia.
Stats - Statistical tests for Julia
RDataSets - Julia package for loading many of the data sets available in R
DataFrames - library for working with tabular data in Julia
Distributions - A Julia package for probability distributions and associated functions.
Data Arrays - Data structures that allow missing values
Time Series - Time series toolkit for Julia
Sampling - Basic sampling algorithms for Julia Misc Stuff / Presentations DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
JuliaCon Presentations - Presentations for JuliaCon
SignalProcessing - Signal Processing tools for Julia
Images - An image library for Julia