pca

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

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

H2Oai GPU Edition

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

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

📊 Computation and processing of models' parameters

Implement face recognition using PCA, LDA and LPP

PCA that iteratively replaces missing data

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

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

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

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

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

pca is a python package to perform Principal Component Analysis and to create insightful plots.

经典机器学习算法的极简实现

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

🏗️ Statistical models for biomolecular dynamics 🏗️

Brings transcriptomics to the tidyverse

Code for "Effective Dimensionality Reduction for Word Embeddings".

Randomized Dimension Reduction Library

Explore high-dimensional datasets and how your algo handles specific regions.

Interactive Visual Machine Learning Demos.

Fast truncated singular value decompositions

A repository for recording the machine learning code

Randomized Matrix Decompositions using R

a repository for my curriculum project

Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.