GitHub projects

Metaprogramming tools for DataFrames.

Graph modelling and analysis.

Graph layout algorithms in pure Julia.

A Julia package for Princeton's WordNet

Julia package for working with various human languages

Functions and data dependencies for loading various word embeddings

A Julia package providing a variety of loaders for various NLP corpora.

Tokenizers for Natural Language Processing in Julia

Julia package for text analysis.

TopicModels for Julia. [Deprecated]

Multidimensional cluster generation in Julia.

A Julia machine learning framework.

Koç University Deep Learning Framework.

Julia implementation of the scikit-learn API.

Large scale Gaussian Mixture Models.

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers.

Flexible Deep Learning Framework in Julia.

A Julia package for manifold learning and nonlinear dimensionality reduction.

eXtreme Gradient Boosting Package in Julia.

Deep Learning framework for Julia inspired by Caffe. [Deprecated]

Julia artificial neural networks. [Deprecated]

A Julia package for non-negative matrix factorization.

Methods for dimensionality reduction.

Kernel density estimators for Julia.

SVM for Julia. [Deprecated]

Basic functions for clustering data: k-means, dp-means, etc.

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.

[Deprecated]

Julia package for Gaussian processes.

Generalized linear models in Julia.

Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.

MCMC tools for Julia. [Deprecated]

A neural network in Julia.

Decision Tree Classifier and Regressor.

Julia module for Distance evaluation.

basic MCMC sampler implemented in Julia. [Deprecated]

A Julia package for fitting (statistical) mixed-effects models.

Simple Naive Bayes implementation in Julia. [Deprecated]

Local regression, so smooooth!

Algorithms for regression analysis (e.g. linear regression and logistic regression). [Deprecated]

Julia package for Regularized Discriminant Analysis.

A Julia framework for probabilistic graphical models.

A set of functions to support the development of machine learning algorithms.

Julia Machine Learning library. [Deprecated]

Beer glass classifier created with Synaptic.

Example of how the neural network learns to predict the angle between two points created with Synaptic.

A JavaScript application framework for machine learning and its engineering.

MLPleaseHelp is a simple ML resource search engine. You can use this search engine right now at https://jgreenemi.github.io/MLPleaseHelp/, provided via GitHub Pages.