Riemannian Adaptive Optimization Methods with pytorch optim
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Updated
Aug 4, 2025 - Python
Riemannian Adaptive Optimization Methods with pytorch optim
A C++ library of Markov Chain Monte Carlo (MCMC) methods
Regression Graph Neural Network (regGNN) for cognitive score prediction.
Implementation of Deep SPDNet in pytorch
Riemannian stochastic optimization algorithms: Version 1.0.3
Measure the distance between two spectra/signals using optimal transport and related metrics
[PNAS 2025] The official implementation of the paper "Manifold-Constrained Nucleus-Level Denoising Diffusion Model for Structure-Based Drug Design".
Riemannian metrics to measure distances in latent space of VAEs
SAC-N-GMM: Robot Skill Refining and Sequencing for Long-Horizon Manipulation Tasks
Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation
Sensitivity Analysis of Deep Neural Networks (AAAI-19 paper)
Official implementation of the NeurIPS 25 paper of Riemannian Consistency Model (RCM) for few-step generation on Riemannian manifolds.
C++ library for meshes and finite elements on manifolds
Subsampled Riemannian trust-region (RTR) algorithms
Matlab implementation of paper "Principal Geodesic Analysis in the Space of Discrete Shells", SGP-2018
Official repository for Cholesky Space for Brain-Computer Interfaces.
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
A package providing tractable examples of parallel transport for several matrix manifolds
Project in Advanced Robotics course project at SDU 21/22. Implementation of learning method for skills for arm robots based on GMM with Rieamannian Manifolds
Essential Books for Computer Science
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