📊 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. **Superseded by the models-by-example repo**.

Brings bulk and pseudobulk transcriptomics to the tidyverse

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

Seurat meets tidyverse. The best of both worlds.

Fast truncated singular value decompositions

Randomized Matrix Decompositions using R

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Sparse Principal Component Analysis (SPCA) using Variable Projection

DataMap is a browser-based app for visualizing data using heatmaps, PCA plots, and t-SNE plots.

A collection of Poisson lognormal models for multivariate count data analysis

光伏短期功率预测大赛 代码

Covariance Matrix Estimation via Factor Models

Animated Visualizations of Popular Machine Learning Algorithms

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

Workshop on tidytranscriptomics: Performing tidy transcriptomics analyses with tidybulk, tidyverse and tidyheatmap

Version 2.1.0 released

R Package: Regularized Principal Component Analysis for Spatial Data

Project Dense Vectors Text Representation on 2D Plan

Statistical Inference for Unsupervised Learning