AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

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

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

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

H2Oai GPU Edition

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

Implement face recognition using PCA, LDA and LPP

PCA that iteratively replaces missing data

📊 Computation and processing of models' parameters

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

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 Now almost entirely superseded by the models-by-example repo.

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

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

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

🏗️ Statistical models for biomolecular dynamics 🏗️

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

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

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

Interactive Visual Machine Learning Demos.

Fast truncated singular value decompositions

Randomized Dimension Reduction Library

Code for "Effective Dimensionality Reduction for Word Embeddings".

A repository for recording the machine learning code

Randomized Matrix Decompositions using R

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

Brings transcriptomics to the tidyverse

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

A MATLAB toolbox for classifier: Version 1.0.7