AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Python code for common Machine Learning Algorithms

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A lean C++ library for working with point cloud data

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

H2Oai GPU Edition

📊 Computation and processing of models' parameters

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Machine Learning Lectures at the European Space Agency (ESA) in 2018

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

pca: A Python Package for Principal Component Analysis.

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Implement face recognition using PCA, LDA and LPP

Using advanced control and computer vision techniques in an easy way for embedded

PCA that iteratively replaces missing data

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz