google / spectral-density
Hessian spectral density estimation in TF and Jax
☆116Updated 4 years ago
Alternatives and similar repositories for spectral-density:
Users that are interested in spectral-density are comparing it to the libraries listed below
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆128Updated 5 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆98Updated 4 years ago
- ☆97Updated 3 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆210Updated 2 months ago
- ☆67Updated 5 years ago
- Convolutional Neural Tangent Kernel☆108Updated 5 years ago
- ☆155Updated 2 years ago
- Optimization with orthogonal constraints and on general manifolds☆126Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- NTK reading group☆87Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆181Updated last week
- ☆161Updated 4 months ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆108Updated last week
- Efficient PyTorch Hessian eigendecomposition tools!☆367Updated 9 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆142Updated this week
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆136Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆70Updated 4 months ago
- Discrete Normalizing Flows implemented in PyTorch☆107Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 3 years ago
- ☆29Updated 3 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- ☆53Updated 4 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆20Updated this week
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- ☆119Updated 6 months ago