manifold

Computations and statistics on manifolds with geometric structures.

Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation

Diffusion on manifolds for image retrieval

A library for optimization on Riemannian manifolds

Algorithms for computations on random manifolds made easier

Tensorflow implementation of adversarial auto-encoder for MNIST

Geometric morphometrics in non-Euclidean shape spaces.

Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch

Supplementary code for the NeurIPS 2020 paper "Matern Gaussian processes on Riemannian manifolds".

The official repository of the paper "Do Reasoning Models Enhance Embedding Models?"

Multivariate Dictionary Learning Algorithm

computer vision

A flow matching model that uses data-driven geometric noise to improve the quality-generalisation tradeoff and to reduce memorisation.

Official project of DiverseSampling (ACMMM2022 Paper)

A self-updating awesome list of prediction markets, their data coverage, and tools - regenerated from structured data

Unscented estimation and adaptive control package

GEMEX is a novel, model-agnostic Explainable AI (XAI) library grounded in Riemannian information geometry and differential geometry. It treats a trained model as defining a statistical manifold equipped with the Fisher Information Metric and derives all explanations from the intrinsic geometry of that manifold.

A self-contained python library designed to apply Mathematical Surgery Theory over Manifolds.

A python CICY toolkit

All-in-one API, local database, data subscriber and bot interface for Manifold.markets