sylvester
github.com
Vector and Matrix math for JavaScript. [Deprecated]
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GitHub projects
Self-hosted
Vector and Matrix math for JavaScript. [Deprecated]
A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Linear Regression library. [Deprecated]
Library for calculating great circle distance.
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.
A JavaScript application framework for machine learning and its engineering.
Example of how the neural network learns to predict the angle between two points created with Synaptic.
Beer glass classifier created with Synaptic.
Julia Machine Learning library. [Deprecated]
A set of functions to support the development of machine learning algorithms.
A Julia framework for probabilistic graphical models.
Julia package for Regularized Discriminant Analysis.
Algorithms for regression analysis (e.g. linear regression and logistic regression). [Deprecated]
Local regression, so smooooth!
Simple Naive Bayes implementation in Julia. [Deprecated]
A Julia package for fitting (statistical) mixed-effects models.
basic MCMC sampler implemented in Julia. [Deprecated]
Julia module for Distance evaluation.
Decision Tree Classifier and Regressor.
A neural network in Julia.
MCMC tools for Julia. [Deprecated]
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia.
Generalized linear models in Julia.
Julia package for Gaussian processes.
[Deprecated]
Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet.
Basic functions for clustering data: k-means, dp-means, etc.
SVM for Julia. [Deprecated]
Kernel density estimators for Julia.
Methods for dimensionality reduction.
A Julia package for non-negative matrix factorization.
Julia artificial neural networks. [Deprecated]
Deep Learning framework for Julia inspired by Caffe. [Deprecated]
eXtreme Gradient Boosting Package in Julia.
A Julia package for manifold learning and nonlinear dimensionality reduction.