Repository Index

A Fast Implementation of Random Forests

Naive Bayesian Classification for Golang.

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

Java Statistical Analysis Tool, a Java library for Machine Learning

• machine-learning
• java
• machine-learning-library
• machine-learning-algorithms

A scalable machine learning library on Apache Spark

Bias Auditing & Fair ML Toolkit

• fairness
• bias
• machine-bias
• fairness-testing

TensorFlow implementation of an arbitrary order Factorization Machine

• factorization-machines
• tensorflow
• research-project

Ensembles of decision trees in go/golang.

Artificial Intelligence for Ruby - A Ruby playground for AI researchers

ThunderGBM: Fast GBDTs and Random Forests on GPUs

• cuda
• gpu
• gbdt
• random-forest

Sequence learning toolkit for Python

Python package for stacking (machine learning technique)

• stacking
• stacked-generalization
• explain-stacking
• stacking-tutorial

Machine learning for Ruby

• machine-learning
• rubyml
• automl

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.

• python
• machine-learning
• random-forest
• tensorflow

Simple structured learning framework for python

oneAPI Data Analytics Library (oneDAL)

• onedal
• data-analysis
• oneapi
• machine-learning

Module for statistical learning, with a particular emphasis on time-dependent modelling

• machine-learning
• python
• point-process
• optimization

https://github.com/dmlc/xgboost

Nimfa: Nonnegative matrix factorization in Python

• matrix-factorization
• latent-features
• latent-variable-models
• nonnegative-matrix-factorization

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

• ruby
• rubyml
• bayesian-classifier

Python package for Bayesian Machine Learning with scikit-learn API

• python
• bayesian-machine-learning
• machine-learning
• scikit-learn

Stream Data Mining Library for Spark Streaming

Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models

Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang

• go
• golang
• natural-language-processing
• nlp