noahgolmant / pytorch-hessian-eigenthingsLinks
Efficient PyTorch Hessian eigendecomposition tools!
☆379Updated 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
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆278Updated 3 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆147Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- hessian in pytorch☆187Updated 4 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆594Updated 9 months ago
- NTK reading group☆87Updated 5 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆425Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆131Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated 2 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆760Updated 3 months ago
- Hypergradient descent☆148Updated last year
- ☆124Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- ☆193Updated 4 years ago
- ☆83Updated 5 years ago
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆281Updated 2 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago
- ☆67Updated 6 years ago
- Learning Sparse Neural Networks through L0 regularization☆244Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆104Updated 5 years ago
- ☆143Updated 2 years ago
- Release of CIFAR-10.1, a new test set for CIFAR-10.☆224Updated 5 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 10 months ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆129Updated 2 years ago