A script toolkit for SLAM research, including but not limited to various plotting functions, ROS bag processing, and more.

Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation

Package to calculate the RIE estimator of a correlation matrix

An online machine-learning library for creating robust statistical models of streaming data

Fast streaming univariate and bivariate moments and t-statistics

Code release for Semantic Similarity Covariance Matrix Shrinkage

Python package for efficient, online statistical computations on streaming or large-scale data

The code provides a collection of functions for various statistical calculations, including sorting, frequency analysis, mean calculations, and dispersion measures.

Sparse Covariance Learning

calculate root mean square, variance, standard deviation, skewness, percentile covariance, pearson product-moment correlation coefficient, spearman correlation coefficient, kendall correlation coefficient, determination coefficient, slope, equation and plot of linear and polynomial regression degree 2 and 3 in various way using python library ma…

This repository contains implementation of Covariant Compositional Networks in Tensorflow 2 for replication study of the paper that introduced them originally.

Project for the Data Science PhD course of Probability

Python package for covariance analysis on alignments of biological sequences.

My personal repository where I can keep files associated with my learning of Statistics

Spring 2022 at UMD-CP. Robot Perception. Field of view, LS, TLS, OpenCV, covariance.

Proof of principle implementation of a fully covariant filtering scheme for relativistic turbulence.

Statistics used for Data Science