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apachecn / AiLearning

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

Updated Sep 7, 2021
Python

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.

Updated Oct 2, 2021
Jupyter Notebook

susanli2016 / Machine-Learning-with-Python

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Python code for common Machine Learning Algorithms

random-forest svm linear-regression naive-bayes-classifier pca logistic-regression decision-trees lda polynomial-regression kmeans-clustering hierarchical-clustering svr knn-classification xgboost-algorithm

Updated Sep 15, 2021
Jupyter Notebook

MaxHalford / prince

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

python scikit-learn pandas pca mca mfa svd factor-analysis principal-component-analysis ca correspondence-analysis multiple-factor-analysis multiple-correspondence-analysis famd

Updated Aug 20, 2021
Python

kzampog / cilantro

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

Updated Sep 5, 2021
C++

h2oai / h2o4gpu

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H2Oai GPU Edition

python c-plus-plus machine-learning r cpu gpu cuda lasso pca rstats glm svd elastic-net

Updated May 17, 2021
Python

jmartinezheras / 2018-MachineLearning-Lectures-ESA

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

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

Updated Aug 29, 2020
Jupyter Notebook

thu-ml / ares

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

nes pca bim benchmark-framework evolutionary spsa boundary adversarial-machine-learning distillation fgsm adversarial-attacks deepfool adversarial-robustness mi-fgsm mmlda hgd

Updated Aug 25, 2021
Python

easystats / parameters

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📊 Computation and processing of models' parameters

bootstrap r ci parameters beta data-reduction feature-extraction pca confidence-intervals pvalues regression-models hacktoberfest statistical-models fa feature-reduction standardize robust-statistics easystats standardized-estimates

Updated Oct 1, 2021
R

wihoho / FaceRecognition

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Implement face recognition using PCA, LDA and LPP

java pca face-recognition lda eigenfaces fisherfaces lpp

Updated Nov 3, 2018
Java

allentran / pca-magic

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PCA that iteratively replaces missing data

python data-science machine-learning pca

Updated Jun 23, 2019
Python

faridcher / ml-course

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

machine-learning neural-network clustering svm linear-regression pca classification recommender-system regularization gradient-descent k-means anomalydetection principal-component-analysis learning-curve

Updated Apr 11, 2021
R

dlab-berkeley / Machine-Learning-in-R

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

machine-learning tutorial random-forest cluster superlearner lasso xgboost pca decision-trees dlab-berkeley

Updated Mar 25, 2021
CSS

m-clark / Miscellaneous-R-Code

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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.