thegregyang / NTK4ALinks
Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
☆105Updated 5 years ago
Alternatives and similar repositories for NTK4A
Users that are interested in NTK4A are comparing it to the libraries listed below
Sorting:
- Convolutional Neural Tangent Kernel☆113Updated 5 years ago
- ☆67Updated 6 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last week
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆146Updated 2 years ago
- ☆124Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- ☆100Updated 3 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆246Updated 5 years ago
- ☆60Updated 2 years ago
- ☆36Updated 4 years ago
- ☆54Updated last year
- ☆157Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆76Updated last year
- Experiments for Meta-Learning Symmetries by Reparameterization☆57Updated 4 years ago
- ☆133Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- CIFAR-5m dataset☆39Updated 4 years ago
- Optimization with orthogonal constraints and on general manifolds☆130Updated 5 years ago
- Efficient Riemannian Optimization on Stiefel Manifold via Cayley Transform☆42Updated 6 years ago
- ☆170Updated last year
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆57Updated 5 years ago