amirgholami / PyHessianLinks
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
☆744Updated last year
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!☆374Updated last year
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆277Updated 2 years ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆587Updated 5 months ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆335Updated last year
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆215Updated this week
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆271Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆632Updated 2 years ago
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆430Updated last year
- hessian in pytorch☆187Updated 4 years ago
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆332Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆323Updated 2 years ago
- ☆190Updated 4 years ago
- ☆226Updated 10 months ago
- Compare neural networks by their feature similarity☆363Updated 2 years ago
- ☆600Updated this week
- A general and accurate MACs / FLOPs profiler for PyTorch models☆617Updated last year
- NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …☆557Updated 7 months ago
- Create animations for the optimization trajectory of neural nets☆155Updated last year
- Laplace approximations for Deep Learning.☆508Updated 2 months ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆195Updated last year
- Reproduce CKA: Similarity of Neural Network Representations Revisited☆303Updated 5 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆468Updated 3 years ago
- A PyTorch implementation of L-BFGS.☆603Updated 2 years ago
- Pretrained models on CIFAR10/100 in PyTorch☆357Updated last month
- ☆157Updated 3 years ago
- Sparse learning library and sparse momentum resources.☆381Updated 3 years ago
- NASBench: A Neural Architecture Search Dataset and Benchmark☆697Updated 2 years ago
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆464Updated last year
- A research library for pytorch-based neural network pruning, compression, and more.☆162Updated 2 years ago
- Open-source code for paper "Dataset Distillation"☆810Updated last week