pca
There are 2541 repositories under pca topic.
apachecn/ailearning
AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
h2oai/h2o-3
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.
susanli2016/Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
Visualize-ML/Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
MaxHalford/prince
:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA
kzampog/cilantro
A lean C++ library for working with point cloud data
thu-ml/ares
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
h2oai/h2o4gpu
H2Oai GPU Edition
easystats/parameters
:bar_chart: Computation and processing of models' parameters
JuliaStats/MultivariateStats.jl
A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)
jmartinezheras/2018-MachineLearning-Lectures-ESA
Machine Learning Lectures at the European Space Agency (ESA) in 2018
a-martyn/ISL-python
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
erdogant/pca
pca: A Python Package for Principal Component Analysis.
Albertsr/Anomaly-Detection
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
moon-hotel/MachineLearningWithMe
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
steliosploumpis/Universal_Head_3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
wihoho/FaceRecognition
Implement face recognition using PCA, LDA and LPP
allentran/pca-magic
PCA that iteratively replaces missing data
DanielMartensson/CControl
Using advanced control and computer vision techniques in an easy way for embedded
snrazavi/Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
m-clark/Miscellaneous-R-Code
Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.
dlab-berkeley/Machine-Learning-in-R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
luokn/ml
经典机器学习算法的极简实现
HansRen1024/SVM-classification-localization
HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS
faridcher/ml-course
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
stemangiola/tidybulk
Brings bulk and pseudobulk transcriptomics to the tidyverse
msmbuilder/msmbuilder
:building_construction: Statistical models for biomolecular dynamics :building_construction:
stemangiola/tidyseurat
Seurat meets tidyverse. The best of both worlds.
lkeab/gsnet
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.
dongkwonjin/Eigenlanes
Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022
vyraun/Half-Size
Code for "Effective Dimensionality Reduction for Word Embeddings".
bwlewis/irlba
Fast truncated singular value decompositions
logancyang/loss-landscape-anim
Create animations for the optimization trajectory of neural nets
ankane/faiss-ruby
Efficient similarity search and clustering for Ruby
dsgiitr/VisualML
Interactive Visual Machine Learning Demos.
erichson/ristretto
Randomized Dimension Reduction Library