amirgholami / PyHessianLinks
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
☆758Updated 2 months ago
Alternatives and similar repositories for PyHessian
Users that are interested in PyHessian are comparing it to the libraries listed below
Sorting:
- Efficient PyTorch Hessian eigendecomposition tools!☆379Updated last year
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆282Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆343Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆593Updated 9 months ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 3 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated 3 weeks ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆333Updated 2 years ago
- ☆227Updated last year
- ☆605Updated last month
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆431Updated 2 years ago
- ☆193Updated 4 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆277Updated 2 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆680Updated 2 years ago
- PyTorch implementation of Mixer-nano (#parameters is 0.67M, originally Mixer-S/16 has 18M) with 90.83 % acc. on CIFAR-10. Training from s…☆35Updated 3 years ago
- ☆157Updated 3 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆198Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆326Updated 2 years ago
- Pretrained models on CIFAR10/100 in PyTorch☆367Updated 4 months ago
- Create animations for the optimization trajectory of neural nets☆159Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆163Updated 2 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆111Updated 6 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆472Updated 4 years ago
- Lightweight torch implementation of rigl, a sparse-to-sparse optimizer.☆57Updated 3 years ago
- pytorch-tiny-imagenet☆182Updated last week
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 9 months ago
- Compare neural networks by their feature similarity☆375Updated 2 years ago
- Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"☆425Updated 3 years ago
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆311Updated 5 years ago
- Laplace approximations for Deep Learning.☆517Updated 5 months ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆630Updated 2 months ago