tfjgeorge / nngeometryLinks
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
☆216Updated 2 weeks ago
Alternatives and similar repositories for nngeometry
Users that are interested in nngeometry are comparing it to the libraries listed below
Sorting:
- Efficient PyTorch Hessian eigendecomposition tools!☆382Updated last year
- Hessian spectral density estimation in TF and Jax☆124Updated 5 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☆173Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆106Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆149Updated 2 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆281Updated 3 years ago
- ☆68Updated 6 years ago
- ☆157Updated 3 years ago
- NTK reading group☆87Updated 6 years ago
- Create animations for the optimization trajectory of neural nets☆161Updated last year
- ☆125Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆191Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆348Updated 2 years ago
- ☆59Updated 2 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Code for "The Intrinsic Dimension of Images and Its Impact on Learning" - ICLR 2021 Spotlight https://openreview.net/forum?id=XJk19XzGq2J☆71Updated last year
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆60Updated 3 weeks ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- PyTorch implementation of FIM and empirical FIM☆60Updated 7 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆58Updated 5 years ago
- ☆251Updated 2 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆142Updated 6 years ago
- Code for the intrinsic dimensionality estimate of data representations☆86Updated 5 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆601Updated 2 weeks ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆100Updated 4 years ago
- Neural Tangent Kernel Papers☆120Updated 11 months ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago