lezcano / geotorchLinks
Constrained optimization toolkit for PyTorch
☆701Updated 4 months ago
Alternatives and similar repositories for geotorch
Users that are interested in geotorch are comparing it to the libraries listed below
Sorting:
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆601Updated this week
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,146Updated last month
- Geometric loss functions between point clouds, images and volumes☆667Updated 7 months ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆1,005Updated 3 months ago
- Laplace approximations for Deep Learning.☆527Updated 7 months ago
- Newton and Quasi-Newton optimization with PyTorch☆368Updated 6 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆671Updated last week
- A PyTorch implementation of L-BFGS.☆623Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models☆781Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆310Updated 5 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆465Updated last year
- Normalizing flows in PyTorch☆971Updated 11 months ago
- Large-scale, multi-GPU capable, kernel solver☆192Updated 4 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆272Updated 3 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,540Updated last year
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆458Updated 2 months ago
- Code for our NeurIPS 2022 paper☆370Updated 2 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆1,005Updated last month
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆872Updated 6 months ago
- Normalizing flows in PyTorch☆425Updated last month
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆663Updated 5 years ago
- Fast, differentiable sorting and ranking in PyTorch☆845Updated 5 months ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆285Updated 4 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,438Updated 3 months ago
- Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …☆714Updated 4 months ago
- Fast Differentiable Sorting and Ranking☆612Updated last year
- ☆606Updated last week
- Compositional Linear Algebra☆498Updated 4 months ago
- Normalizing flows in PyTorch. Current intended use is education not production.☆904Updated 5 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆288Updated 4 years ago