Popular GitHub Repositories for Riemannian Manifold

Uniform Manifold Approximation and Projection

Statistical Machine Intelligence & Learning Engine

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

Riemannian Adaptive Optimization Methods with pytorch optim

A comprehensive code for AI & Robotics.

VGGT-SLAM: Dense RGB SLAM Optimized on the SL(4) Manifold

[ECCV 2022] Official PyTorch Code of DEVIANT: Depth Equivariant Network for Monocular 3D Object Detection

Official repository for "CFG++: manifold-constrained classifier free guidance for diffusion models"

Diffusion on manifolds for image retrieval

Natural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)

A library for optimization on Riemannian manifolds

Tensorflow implementation of adversarial auto-encoder for MNIST

Regression Graph Neural Network (regGNN) for cognitive score prediction.

Riemannian stochastic optimization algorithms: Version 1.0.3

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

Meta Flow Matching: Integrating Vector Fields on the Wasserstein Manifold

This is the research product of the thesis manifold Learning of Latent Space Vectors in GAN for Image Synthesis. This has an application to the research, name a facial recognition system. The application was developed by consulting the FaceNet model.

Riemannian Optimization Using JAX

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

Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"