CorShrink

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

:toothbrush: Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

Generates R code for your lavaan models automatically, which helps with reproducible open science

Generative art graphics engine

Effect of hidden nodes on the reconstruction of bidirectional networks

Calculate the effective rank of a matrix

Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.

A Rust project that implements multi-threaded computation output from a Vulkan asynchronous queue with per-frame synchronization