Alternatives and similar repositories for KFAC-Pytorch:

Users that are interested in KFAC-Pytorch are comparing it to the libraries listed below

• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆141Updated last year
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆73Updated 7 months ago
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 5 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆121Updated 4 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC Preconditioner for PyTorch
  ☆85Updated this week
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated 4 years ago
• prolearner / hypertorch
  ☆121Updated 9 months ago
• fmeirinhos / pytorch-hessianfree
  PyTorch implementation of Hessian Free optimisation
  ☆43Updated 5 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆211Updated this week
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆172Updated 5 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• locuslab / edge-of-stability
  ☆65Updated 2 months ago
• ruosongwang / CNTK
  Convolutional Neural Tangent Kernel
  ☆109Updated 5 years ago
• cybertronai / autograd-hacks
  ☆156Updated 2 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆184Updated 2 months ago
• amirgholami / HessianFlow
  ☆82Updated 5 years ago
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆267Updated 2 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• damaru2 / ntk
  NTK reading group
  ☆88Updated 5 years ago
• cemanil / LNets
  Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).
  ☆55Updated 4 years ago
• rgrosse / csc2541_examples
  ☆29Updated 4 years ago
• thegregyang / NTK4A
  Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
  ☆105Updated 4 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆186Updated 4 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 5 years ago
• avirmaux / lipEstimation
  ☆58Updated last year
• fdraxler / PyTorch-AutoNEB
  PyTorch AutoNEB implementation to identify minimum energy paths, e.g. in neural network loss landscapes
  ☆54Updated 2 years ago
• team-approx-bayes / fromp
  Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"
  ☆44Updated 4 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• deep-lab / DeepnetHessian
  Measurements of Three-Level Hierarchical Structure in the Outliers in the Spectrum of Deepnet Hessians (ICML 2019)
  ☆17Updated 5 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆109Updated 3 years ago