A tool that performs 3D embedding of data and provides interactive visualization.

A Matlab tool­box for opti­mization on manifolds (by Boumal and Mishra)

A Color Picker based on manifold learning. The algorighm is the same as the "SOM-ColorManifolds" repository.

Machiene Learning and Application module open assessment

TensorFlow Implementation of Manifold Regularized Convolutional Neural Networks.

pyquest: diffusion analysis of transposable arrays

Matlab implementation of Diffusion Maps

Tensorflow implementation of adversarial auto-encoder for MNIST

Diffusion Net TensorFlow implementation

A prior learning and sampling model informed tool for learning with Single Cell RNA-Seq data

An interactive 3D web viewer of up to million points on one screen that represent data. Provides interaction for viewing high-dimensional data that has been previously embedded in 3D or 2D. Based on graphosaurus.js and three.js. For a Linux release of a complete embedding+visualization pipeline please visit https://github.com/sonjageorgievska/Em…

Open Assessment for Machine Learning and Applications module. This assessment scored 83% and was worth 8 credits of my third year.

Comparison of the Stochastic Neighbor Embedding(SNE) and the t-distributed SNE algorithms

A simple library for t-SNE animation and a zoom-in feature to apply t-SNE in that region

Single cell trajectory detection

This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017

We propose a density-based estimator for weighted geodesic distances suitable for data lying on a manifold of lower dimension than ambient space and sampled from a possibly nonuniform distribution

A mathematical introduction to manifold learning