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

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, 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

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

📊 Computation and processing of models' parameters

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.

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

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

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

🏗️ 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.

Fast truncated singular value decompositions

Interactive Visual Machine Learning Demos.

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

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

Brings transcriptomics to the tidyverse

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

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

Project Page of Combining 3D Morphable Models: A Large scale Face-and-Head Model - [CVPR 2019]