Popular GitHub Repositories for Pca

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.

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

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

H2Oai GPU Edition

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

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见10余种机器学习算法原理与实现及视频讲解。@月来客栈 出品

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

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract)

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、PCA、SVD

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

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

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.

Create animations for the optimization trajectory of neural nets

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Beta Machine Learning Toolkit

A repository for recording the machine learning code

Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.

ML-algorithms from scratch using Python. Classic Machine Learning course.

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.