Constrained optimization toolkit for PyTorch
☆712Jun 7, 2026Updated 4 months ago
Alternatives and similar repositories for geotorch
Users that are interested in geotorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Optimization with orthogonal constraints and on general manifolds☆132Jul 13, 2020Updated 6 years ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,103Updated this week
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆914Updated this week
- Differentiable convex optimization layers☆2,149Oct 24, 2026Updated last week
- A manifold optimization library for deep learning☆257Aug 10, 2021Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual tr…☆1,624Mar 25, 2022Updated 4 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,433Aug 21, 2025Updated last year
- Differentiable and numerically stable implementation of the matrix exponential☆32Oct 20, 2020Updated 6 years ago
- Differentiable SDE solvers with GPU support and efficient sensitivity analysis.☆1,727Dec 30, 2024Updated last year
- Riemannian Convex Potential Maps☆68Mar 31, 2023Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,583May 2, 2024Updated 2 years ago
- Computations and statistics on manifolds with geometric structures.☆1,527Oct 7, 2026Updated 3 weeks ago
- Torch modules that wrap blackbox combinatorial solvers according to the method presented in "Differentiating Blackbox Combinatorial Solve…☆357Dec 21, 2021Updated 4 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆167Nov 15, 2025Updated 11 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆60Sep 28, 2021Updated 5 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,068Updated this week
- Fast, differentiable sorting and ranking in PyTorch☆865Mar 3, 2026Updated 7 months ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,931Oct 2, 2026Updated last month
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆6,491Apr 4, 2025Updated last year
- A differentiation API for PyTorch☆30Jun 21, 2020Updated 6 years ago
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,194Jul 17, 2026Updated 3 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆473Aug 28, 2024Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,630Aug 26, 2026Updated 2 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Fast and Easy Infinite Neural Networks in Python☆2,386Mar 1, 2024Updated 2 years ago
- A library for differentiable nonlinear optimization☆2,061Jan 16, 2025Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆619Jul 17, 2026Updated 3 months ago
- A fast and differentiable QP solver for PyTorch.☆805Sep 3, 2024Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆225Oct 13, 2026Updated 2 weeks ago
- PyTorch Extension Library of Optimized Scatter Operations☆1,749Jun 3, 2026Updated 5 months ago
- POT : Python Optimal Transport☆2,860Updated this week
- Newton and Quasi-Newton optimization with PyTorch☆385Jan 23, 2026Updated 9 months ago
- ☆277Apr 27, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆127Jul 6, 2023Updated 3 years ago
- Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.☆1,485May 2, 2025Updated last year
- [NeurIPS 2021] Equivariant Manifold Flows (https://arxiv.org/abs/2107.08596)☆10Dec 8, 2021Updated 4 years ago
- Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/☆2,122Sep 6, 2026Updated last month
- Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper☆37Jun 11, 2020Updated 6 years ago
- Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021☆30Sep 25, 2021Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models☆813Jul 4, 2022Updated 4 years ago