amirgholami / adahessianLinks
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
☆276Updated 2 years ago
Alternatives and similar repositories for adahessian
Users that are interested in adahessian are comparing it to the libraries listed below
Sorting:
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆588Updated 7 months ago
- PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks☆747Updated 3 weeks ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆188Updated 8 months ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆147Updated last year
- Efficient PyTorch Hessian eigendecomposition tools!☆375Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆324Updated 2 years ago
- Create animations for the optimization trajectory of neural nets☆157Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated last month
- Distributed K-FAC preconditioner for PyTorch☆88Updated last week
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆181Updated 4 years ago
- Easy-to-use AdaHessian optimizer (PyTorch)☆79Updated 4 years ago
- ☆157Updated 3 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆272Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆337Updated last year
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- ☆226Updated last year
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆144Updated 2 years ago
- Hessian spectral density estimation in TF and Jax☆123Updated 4 years ago
- Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable☆216Updated 4 years ago
- ☆192Updated 4 years ago
- ☆232Updated 5 months ago
- Butterfly matrix multiplication in PyTorch☆174Updated last year
- Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities☆209Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆480Updated 3 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- Implementation for the Lookahead Optimizer.☆241Updated 3 years ago
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆110Updated 2 years ago
- ☆144Updated 2 years ago
- ☆67Updated 6 years ago