Alternatives and similar repositories for geotorch

Users that are interested in geotorch are comparing it to the libraries listed below

• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆677Updated 9 months ago
• getkeops / keops
  KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows
  ☆1,155Updated 3 months ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆603Updated 2 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆532Updated 9 months ago
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆693Updated 3 weeks ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆464Updated last year
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆1,028Updated this week
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,552Updated last year
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆372Updated last week
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆1,022Updated last month
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆625Updated 2 years ago
• pymanopt / pymanopt
  Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
  ☆884Updated 7 months ago
• patrick-kidger / torchcubicspline
  Interpolating natural cubic splines. Includes batching, GPU support, support for missing values, evaluating derivatives of the spline, an…
  ☆275Updated 3 years ago
• bayesiains / nflows
  Normalizing flows in PyTorch
  ☆989Updated last year
• patrick-kidger / torchcde
  Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.
  ☆465Updated 4 months ago
• rtqichen / ffjord
  code for "FFJORD: Free-form Continuous Dynamics for Scalable Reversible Generative Models".
  ☆664Updated 5 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆310Updated 2 weeks ago
• locuslab / deq
  [NeurIPS'19] Deep Equilibrium Models
  ☆789Updated 3 years ago
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆197Updated 6 months ago
• google-research / fast-soft-sort
  Fast Differentiable Sorting and Ranking
  ☆615Updated last year
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆371Updated 3 years ago
• probabilists / zuko
  Normalizing flows in PyTorch
  ☆440Updated 2 months ago
• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,449Updated this week
• teddykoker / torchsort
  Fast, differentiable sorting and ranking in PyTorch
  ☆849Updated 7 months ago
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆287Updated 4 years ago
• pnkraemer / tueplots
  Figure sizes, font sizes, fonts, and more configurations at minimal overhead. Fix your journal papers, conference proceedings, and other …
  ☆724Updated this week
• wilson-labs / cola
  Compositional Linear Algebra
  ☆506Updated 6 months ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆251Updated 4 years ago
• pytorch / functorch
  functorch is JAX-like composable function transforms for PyTorch.
  ☆1,436Updated 5 months ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆384Updated last year