noahgolmant / pytorch-hessian-eigenthingsLinks
Efficient PyTorch Hessian eigendecomposition tools!
☆374Updated 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
Sorting:
- ☆157Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- hessian in pytorch☆187Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆272Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 6 months ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- NTK reading group☆87Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆423Updated 2 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- ☆123Updated last year
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Hypergradient descent☆149Updated last year
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆745Updated this week
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆223Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- ☆191Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- ☆240Updated 2 years ago
- ☆59Updated 2 years ago
- ☆144Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆336Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- A PyTorch library for two-sample tests☆241Updated 2 years ago
- ☆67Updated 6 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 4 years ago