mariogeiger / hessian
hessian in pytorch
☆186Updated 4 years ago
Alternatives and similar repositories for hessian:
Users that are interested in hessian are comparing it to the libraries listed below
- Efficient PyTorch Hessian eigendecomposition tools!☆370Updated 10 months ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆136Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- This repository is no longer maintained. Check☆81Updated 4 years ago
- ☆156Updated 2 years ago
- Convolutional Neural Tangent Kernel☆108Updated 5 years ago
- ☆132Updated 7 years ago
- paper lists and information on mean-field theory of deep learning☆75Updated 5 years ago
- Hypergradient descent☆143Updated 7 months ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆130Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆126Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆267Updated 2 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆54Updated 4 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆110Updated 6 years ago
- NTK reading group☆87Updated 5 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 5 months ago
- ☆82Updated 5 years ago
- Discrete Normalizing Flows implemented in PyTorch☆108Updated 3 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆171Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- ☆120Updated 7 months ago
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆83Updated 5 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆210Updated 3 months ago
- A manifold optimization library for deep learning☆241Updated 3 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆265Updated last year
- Hessian spectral density estimation in TF and Jax☆120Updated 4 years ago
- This repository contains the code to reproduce the core results from the paper "The Numerics of GANs".☆46Updated 6 years ago
- Implements pytorch code for the Accelerated SGD algorithm.☆215Updated 6 years ago
- ☆163Updated 5 months ago