gpauloski / kfac-pytorchLinks
Distributed K-FAC preconditioner for PyTorch
☆92Updated this week
Alternatives and similar repositories for kfac-pytorch
Users that are interested in kfac-pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆43Updated 6 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆77Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆148Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆114Updated 2 years ago
- Pytorch implementation of KFAC - this is a port of https://github.com/tensorflow/kfac/☆30Updated last year
- ☆30Updated 4 years ago
- Butterfly matrix multiplication in PyTorch☆177Updated 2 years ago
- ☆68Updated 6 years ago
- ☆73Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆216Updated last week
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Structured matrices for compressing neural networks☆67Updated 2 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆281Updated 2 years ago
- ☆234Updated 9 months ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Create animations for the optimization trajectory of neural nets☆161Updated last year
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆63Updated 4 years ago
- ☆83Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆36Updated 11 months ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 5 years ago
- Visualization of mean field and neural tangent kernel regime☆21Updated last year
- Code for Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot☆42Updated 5 years ago