noahgolmant / pytorch-hessian-eigenthings
Efficient PyTorch Hessian eigendecomposition tools!
☆371Updated last year
Alternatives and similar repositories for pytorch-hessian-eigenthings:
Users that are interested in pytorch-hessian-eigenthings are comparing it to the libraries listed below
- ☆157Updated 2 years ago
- hessian in pytorch☆187Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆270Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆212Updated this week
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆578Updated 3 months ago
- NTK reading group☆88Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆142Updated last year
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆172Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆422Updated 2 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆731Updated last year
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- ☆122Updated 10 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 5 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆222Updated 5 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆268Updated last year
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 4 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Example code for the paper "Understanding deep learning requires rethinking generalization"☆178Updated 4 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 4 months ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆139Updated 5 years ago
- ☆241Updated 2 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- ☆83Updated 5 years ago
- ☆66Updated 6 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆326Updated last year
- Hypergradient descent☆145Updated 10 months ago
- A PyTorch library for two-sample tests☆239Updated last year
- paper lists and information on mean-field theory of deep learning☆74Updated 6 years ago
- PyTorch implementations of algorithms for density estimation☆583Updated 3 years ago