Alternatives and similar repositories for expm

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

• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 11 months ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• SaitejaUtpala / rieoptax
  Riemannian Optimization Using JAX
  ☆49Updated last year
• necludov / iMCMC
  ☆22Updated 4 years ago
• conormdurkan / lfi
  Neural likelihood-free methods in PyTorch.
  ☆39Updated 5 years ago
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• gehring / fax
  ☆80Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated last year
• jrmcornish / cif
  PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows
  ☆31Updated 3 years ago
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 11 months ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆52Updated 5 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 3 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆108Updated 4 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆87Updated 2 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆83Updated last year
• fissoreg / relative-gradient-jacobian
  Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020
  ☆21Updated 4 years ago
• pierreablin / ksddescent
  Kernel Stein Discrepancy Descent : a method to sample from unnormalized densities
  ☆21Updated last year
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 3 years ago
• jrmcornish / lgf
  Pytorch implementation of Localised Generative Flows
  ☆11Updated 4 years ago
• MichaelArbel / GeneralizedEBM
  ☆54Updated 11 months ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆90Updated last year
• wjmaddox / spectralgp
  Code repo for "Function-Space Distributions over Kernels"
  ☆31Updated 4 years ago
• google-deepmind / annealed_flow_transport
  ☆52Updated 2 years ago
• wesselb / lab
  A generic interface for linear algebra backends
  ☆73Updated 3 months ago