Alternatives and similar repositories for EKFAC-pytorch

Users that are interested in EKFAC-pytorch are comparing it to the libraries listed below

• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆132Updated 5 years ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆111Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆146Updated last year
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• wiseodd / natural-gradients
  Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)
  ☆139Updated 6 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 10 months ago
• damaru2 / ntk
  NTK reading group
  ☆87Updated 5 years ago
• lezcano / expRNN
  Optimization with orthogonal constraints and on general manifolds
  ☆128Updated 4 years ago
• prolearner / hypertorch
  ☆123Updated last year
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆77Updated 6 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 3 months ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated last year
• google-deepmind / mc_gradients
  ☆168Updated 10 months ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆374Updated last year
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆123Updated 4 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆114Updated 3 years ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆87Updated 2 weeks ago
• amirgholami / HessianFlow
  ☆83Updated 5 years ago
• locuslab / monotone_op_net
  Monotone operator equilibrium networks
  ☆52Updated 5 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated this week
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆56Updated 5 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• fdraxler / PyTorch-AutoNEB
  PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
  ☆55Updated 2 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆148Updated last year