lezcano / geotorchLinks
Constrained optimization toolkit for PyTorch
☆689Updated 3 years ago
Alternatives and similar repositories for geotorch
Users that are interested in geotorch are comparing it to the libraries listed below
Sorting:
- KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows☆1,110Updated 2 weeks ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- Geometric loss functions between point clouds, images and volumes☆642Updated 3 months ago
- Laplace approximations for Deep Learning.☆515Updated 3 months ago
- Riemannian Adaptive Optimization Methods with pytorch optim☆956Updated last month
- Normalizing flows in PyTorch☆937Updated 7 months ago
- Newton and Quasi-Newton optimization with PyTorch☆357Updated 2 months ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆454Updated 11 months ago
- Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.☆624Updated this week
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆308Updated last month
- A PyTorch implementation of L-BFGS.☆609Updated 2 years ago
- A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods☆1,517Updated last year
- code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".☆647Updated 4 years ago
- Hardware accelerated, batchable and differentiable optimizers in JAX.☆983Updated 3 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆441Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models☆756Updated 3 years ago
- Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation☆847Updated 2 months ago
- Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…☆257Updated 2 years ago
- Fast Differentiable Sorting and Ranking☆608Updated last year
- Fast, differentiable sorting and ranking in PyTorch☆820Updated last month
- Normalizing flows in PyTorch. Current intended use is education not production.☆874Updated 5 years ago
- Code for the paper "Learning Differential Equations that are Easy to Solve"☆281Updated 3 years ago
- Large-scale, multi-GPU capable, kernel solver☆190Updated 2 weeks ago
- Normalizing flows in PyTorch☆400Updated last month
- Code for our NeurIPS 2022 paper☆369Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆480Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆375Updated last year
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- A manifold optimization library for deep learning☆248Updated 3 years ago
- Pytorch implementation of Augmented Neural ODEs☆543Updated 2 years ago