google / spectral-densityLinks
Hessian spectral density estimation in TF and Jax
☆123Updated 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
Sorting:
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆143Updated 2 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- ☆100Updated 3 years ago
- ☆169Updated 11 months ago
- ☆67Updated 6 years ago
- ☆29Updated 4 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆105Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Hypergradient descent☆149Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆56Updated 4 years ago
- ☆54Updated 11 months ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆374Updated last year
- ☆157Updated 3 years ago
- Experiment code for "Randomized Automatic Differentiation"☆67Updated 4 years ago
- Codebase for Learning Invariances in Neural Networks☆95Updated 2 years ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 7 months ago
- NTK reading group☆87Updated 5 years ago
- ☆36Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 months ago
- 🧀 Pytorch code for the Fromage optimiser.☆124Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- PyTorch implementation of Hessian Free optimisation☆43Updated 5 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- ☆123Updated last year