Manifold is a Java compiler plugin, its features include Metaprogramming, Properties, Extension Methods, Operator Overloading, Templates, a Preprocessor, and more.

Computations and statistics on manifolds with geometric structures.

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

A powerful Clojure web library, full HTTP, full async - see https://juxt.pro/yada/index.html

ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups

Convert any Triangle Mesh to Watertight Manifold

Transforming scholarly publications into living digital works.

Monorepo for 3D algorithms of Bitbybit platform, which helps programming geometry on the browser. Use with ThreeJS, BabylonJS, build your own core integration or execute algorithms in NodeJS.

Diffusion on manifolds for image retrieval

A library for optimization on Riemannian manifolds

Optimization algorithms for hybrid precoding in mmWave MIMO systems: Version 1.1.0

Algorithms for computations on random manifolds made easier

A MATLAB toolbox for classifier: Version 1.0.7

Tensorflow implementation of adversarial auto-encoder for MNIST

sciBASIC# is a kind of dialect language which is derive from the native VB.NET language, and written for the data scientist.

Riemannian stochastic optimization algorithms: Version 1.0.3

Turn files into asynchronous streams

Matlab library for directional statistics and directional estimation

All of my math stuff from grad school.

Geometric morphometrics in non-Euclidean shape spaces.

Tangent bundle, vector space and Submanifold definition

Manifold implementation in Clojurescript

Tensor algebra abstract type interoperability setup

An unofficial Firestore API for Clojure. Provides tools for doing single pulls and writes, streaming real-time data, batched writes and transactions.

Code for SIGGRAPH Asia 2023 (ToG) paper "Manifold Path Guiding for Importance Sampling Specular Chains"

Implementation of Constructing Human Motion Manifold with Sequential Networks in PyTorch

Chaining values with ease

Unifying flow matching and diffusion on Riemannian manifolds and discrete spaces, for generative deep learning.

SE3 interpolation and Quat+R^3 interpolation are implemented.

Python bindings for https://github.com/hjwdzh/Manifold