amirgholami / PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
☆731Updated last year
Alternatives and similar repositories for PyHessian:
Users that are interested in PyHessian are comparing it to the libraries listed below
- ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning☆274Updated 2 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆370Updated last year
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆326Updated last year
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆577Updated 3 months ago
- ☆225Updated 8 months ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆269Updated 2 years ago
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆630Updated 2 years ago
- ☆596Updated 5 months ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆212Updated this week
- PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.☆429Updated last year
- This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…☆330Updated last year
- ☆157Updated 2 years ago
- ☆190Updated 4 years ago
- Sparse learning library and sparse momentum resources.☆380Updated 2 years ago
- Compare neural networks by their feature similarity☆357Updated last year
- A PyTorch implementation of L-BFGS.☆600Updated 2 years ago
- PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…☆188Updated last year
- hessian in pytorch☆187Updated 4 years ago
- Create animations for the optimization trajectory of neural nets☆152Updated last year
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆321Updated 2 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆172Updated 5 years ago
- A general and accurate MACs / FLOPs profiler for PyTorch models☆604Updated 11 months ago
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆185Updated 4 months ago
- Code for Neural Architecture Search without Training (ICML 2021)☆465Updated 3 years ago
- A LARS implementation in PyTorch☆343Updated 5 years ago
- A research library for pytorch-based neural network pruning, compression, and more.☆160Updated 2 years ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,422Updated this week
- Open-source code for paper "Dataset Distillation"☆799Updated this week
- Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"☆459Updated last year
- Train ImageNet *fast* in 500 lines of code with FFCV☆141Updated 11 months ago