ingako

PEARL

Probabilistic Exact Adaptive Random Forest with Lossy Counting for Data Streams

gsarf

State Adaptive Random Forest on GPU

AOTrAdaBoost

knn

streamDM

Nacre

opera

algs4

Algorithms, 4th edition textbook code and libraries

Chinou

A distributed neural network, using Mailbox asynchronous actors.

cibuildwheel

🎡 Build Python wheels on CI with minimal configuration.

CPF

Code for CPF and ECPF to work in MOA

cs291

Interactive 3D Graphics class code

denstream

Global-Illumination-Renderer

A global illumination renderer using unbiased Monte Carlo path tracing

IPredict

Sequence Prediction Framework

MachineLearningKata

Reinventing wheels for learning and fun.

moa

MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

obsidian

javascript/webgl demo

PEARL-in-MOA

pgmpy

Python Library for Probabilistic Graphical Models

RayTracer

A 3D rendering technique used in games such as Wolfenstein 3D.

scikit-multiflow

A machine learning framework for multi-output/multi-label and stream data. Inspired by MOA and MEKA, following scikit-learn's philosophy.

Sticky-HDPHMM-demo

Sticky hierarchical Dirichlet process hidden Markov model for time series denoising