Popular GitHub Repositories for Manifold Learning

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

Tensorflow implementation of adversarial auto-encoder for MNIST

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

Geometry Regularized Autoencoders (GRAE) for large-scale visualization and manifold learning

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Companion repository for the paper "Representation Learning via Manifold Flattening and Reconstruction"

Diffusion Net TensorFlow implementation

topological deep learning

Machine learning library containing algorithms for data analysis, statistical modelling, inference and pattern recognition

Diffusion based distances in torch