Alternatives and similar repositories for pymanopt

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

• geomstats / geomstats
  Computations and statistics on manifolds with geometric structures.
  ☆1,400Updated 3 months ago
• lezcano / geotorch
  Constrained optimization toolkit for PyTorch
  ☆697Updated last month
• NicolasBoumal / manopt
  Manopt, a Matlab toolbox for optimization on manifolds
  ☆360Updated 5 months ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆613Updated 2 years ago
• geoopt / geoopt
  Riemannian Adaptive Optimization Methods with pytorch optim
  ☆976Updated last month
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆638Updated 2 weeks ago
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆457Updated last year
• FalkonML / falkon
  Large-scale, multi-GPU capable, kernel solver
  ☆191Updated last month
• google / jaxopt
  Hardware accelerated, batchable and differentiable optimizers in JAX.
  ☆992Updated 4 months ago
• rfeinman / pytorch-minimize
  Newton and Quasi-Newton optimization with PyTorch
  ☆363Updated 3 months ago
• nchopin / particles
  Sequential Monte Carlo in python
  ☆465Updated this week
• probabilistic-numerics / probnum
  Probabilistic Numerics in Python.
  ☆455Updated 2 months ago
• mctorch / mctorch
  A manifold optimization library for deep learning
  ☆249Updated 4 years ago
• JaxGaussianProcesses / GPJax
  Gaussian processes in JAX and Flax.
  ☆534Updated this week
• geometric-kernels / GeometricKernels
  Geometric kernels on manifolds, meshes and graphs
  ☆270Updated last month
• sbi-dev / sbi
  sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you nee…
  ☆725Updated this week
• jacobjinkelly / easy-neural-ode
  Code for the paper "Learning Differential Equations that are Easy to Solve"
  ☆282Updated 3 years ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆489Updated last month
• jeanfeydy / geomloss
  Geometric loss functions between point clouds, images and volumes
  ☆650Updated 4 months ago
• matt-graham / mici
  Manifold Markov chain Monte Carlo methods in Python
  ☆232Updated this week
• dilinwang820 / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆408Updated last year
• optimaltransport / optimaltransport.github.io
  Web site of the Computational Optimal Transport book
  ☆368Updated 2 years ago
• cvxpy / cvxpylayers
  Differentiable convex optimization layers
  ☆1,975Updated last month
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆589Updated 8 months ago
• cornellius-gp / linear_operator
  A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch
  ☆112Updated 6 months ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆517Updated 4 months ago
• blackjax-devs / blackjax
  BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
  ☆952Updated 4 months ago
• probml / dynamax
  A Python package for probabilistic state space modeling with JAX
  ☆866Updated 2 months ago
• DiffEqML / torchdyn
  A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
  ☆1,520Updated last year
• AaltoML / BayesNewton
  Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.
  ☆236Updated last year