Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
☆911Oct 1, 2026Updated last week
Alternatives and similar repositories for pymanopt
Users that are interested in pymanopt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Manopt, a Matlab toolbox for optimization on manifolds☆400Mar 3, 2026Updated 7 months ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,100May 9, 2026Updated 5 months ago
- Computations and statistics on manifolds with geometric structures.☆1,522Aug 21, 2026Updated last month
- A manifold optimization library for deep learning☆257Aug 10, 2021Updated 5 years ago
- Constrained optimization toolkit for PyTorch☆710Jun 7, 2026Updated 4 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 🏔️Optimization on Riemannian Manifolds in Julia☆427Updated this week
- Riemannian Interior Point Methods (RIPM) for Constrained Optimization on Manifolds☆18Feb 3, 2024Updated 2 years ago
- Implementation of Deep SPDNet in pytorch☆74Sep 23, 2023Updated 3 years ago
- Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python☆779Updated this week
- ROPTLIB: Riemannian Manifold Optimization Library☆82Aug 13, 2020Updated 6 years ago
- Efficiently computes derivatives of NumPy code.☆7,539Updated this week
- Optimization with orthogonal constraints and on general manifolds☆131Jul 13, 2020Updated 6 years ago
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- POT : Python Optimal Transport☆2,849Updated this week
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,066Updated this week
- Dimensionality reduction on manifold of SPD matrices, based on pymanopt implementation☆11Apr 18, 2023Updated 3 years ago
- Differentiable convex optimization layers☆2,141Sep 24, 2026Updated 2 weeks ago
- This repo contains papers, books, tutorials and resources on Riemannian optimization.☆66Sep 11, 2026Updated 3 weeks ago
- ⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.☆991Mar 19, 2026Updated 6 months ago
- Manifolds.jl provides a library of manifolds aiming for an easy-to-use and fast implementation.☆436Updated this week
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- Fast and Easy Infinite Neural Networks in Python☆2,385Mar 1, 2024Updated 2 years ago
- Probabilistic Numerics in Python.☆462Jul 3, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,108Sep 6, 2026Updated last month
- The code for the paper <Simple algorithms for optimization on Riemannian manifolds with extra constraints>☆23Mar 18, 2019Updated 7 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,132Updated this week
- Documentation:☆132May 22, 2023Updated 3 years ago
- Geometric kernels on manifolds, meshes and graphs☆592Sep 16, 2026Updated 3 weeks ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆892May 12, 2024Updated 2 years ago
- Gaussian processes in TensorFlow☆1,920Updated this week
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆71Jun 5, 2021Updated 5 years ago
- Rigid transforms + Lie groups for JAX☆340Apr 24, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Algorithms for computations on random manifolds made easier☆101Dec 4, 2023Updated 2 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Jan 5, 2023Updated 3 years ago
- A fast and differentiable QP solver for PyTorch.☆803Sep 3, 2024Updated 2 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,925Oct 2, 2026Updated last week
- TensorLy: Tensor Learning in Python.☆1,694Updated this week
- Riemannian optimization on the symplectic Stiefel manifold☆16Nov 18, 2022Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,580May 2, 2024Updated 2 years ago