PCA that iteratively replaces missing data
📊 Computation and processing of models' parameters
A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language
Miscellaneous R Code
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 Now almost entirely superseded by the models-by-example repo.
Machine Learning In R
Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles
🏗 Statistical models for biomolecular dynamics 🏗
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Explore high-dimensional datasets and how your algo handles specific regions.
Randomized Dimension Reduction Library
Code for "Effective Dimensionality Reduction for Word Embeddings".
A repository for recording the machine learning code
Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).
A collection of Poisson lognormal models for multivariate count data analysis
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"
A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.
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 factor analysis library (PCA, CA, MCA, MFA, FAMD)
A lean C++ library for working with point cloud data
Fusion ICA Toolbox (MATLAB)
quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.
Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab
A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).
Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Principal component analysis (PCA) in Ruby
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
Universal Head 3DMM
This is a Project Page of 'Towards a complete 3D morphable model of the human head'
Interactive Visual Machine Learning Demos.
R Package: Regularized Principal Component Analysis for Spatial Data
system performance characterization tool based on linux perf
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
AnnA Anki neuronal Appendix
Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)
Pan-sharpening in the Earth Engine code editor
Streaming, Memory-Limited, r-truncated SVD Revisited!