Alternatives and similar repositories for PyHessian

Users that are interested in PyHessian are comparing it to the libraries listed below

• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆374Updated last year
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆277Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆587Updated 5 months ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆335Updated last year
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated this week
• timgaripov / dnn-mode-connectivity
  Mode Connectivity and Fast Geometric Ensembles in PyTorch
  ☆271Updated 2 years ago
• facebookresearch / open_lth
  A repository in preparation for open-sourcing lottery ticket hypothesis code.
  ☆632Updated 2 years ago
• JJGO / shrinkbench
  PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
  ☆430Updated last year
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 4 years ago
• rahulvigneswaran / Lottery-Ticket-Hypothesis-in-Pytorch
  This repository contains a Pytorch implementation of the paper "The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks"…
  ☆332Updated last year
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆323Updated 2 years ago
• allenai / hidden-networks
  ☆190Updated 4 years ago
• ganguli-lab / Synaptic-Flow
  ☆226Updated 10 months ago
• AntixK / PyTorch-Model-Compare
  Compare neural networks by their feature similarity
  ☆363Updated 2 years ago
• google-research / sam
  ☆600Updated this week
• zhijian-liu / torchprofile
  A general and accurate MACs / FLOPs profiler for PyTorch models
  ☆617Updated last year
• automl / NASLib
  NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several …
  ☆557Updated 7 months ago
• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆155Updated last year
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆508Updated 2 months ago
• omihub777 / ViT-CIFAR
  PyTorch implementation for Vision Transformer[Dosovitskiy, A.(ICLR'21)] modified to obtain over 90% accuracy FROM SCRATCH on CIFAR-10 wit…
  ☆195Updated last year
• yuanli2333 / CKA-Centered-Kernel-Alignment
  Reproduce CKA: Similarity of Neural Network Representations Revisited
  ☆303Updated 5 years ago
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆468Updated 3 years ago
• hjmshi / PyTorch-LBFGS
  A PyTorch implementation of L-BFGS.
  ☆603Updated 2 years ago
• chenyaofo / pytorch-cifar-models
  Pretrained models on CIFAR10/100 in PyTorch
  ☆357Updated last month
• cybertronai / autograd-hacks
  ☆157Updated 3 years ago
• TimDettmers / sparse_learning
  Sparse learning library and sparse momentum resources.
  ☆381Updated 3 years ago
• google-research / nasbench
  NASBench: A Neural Architecture Search Dataset and Benchmark
  ☆697Updated 2 years ago
• wjmaddox / swa_gaussian
  Code repo for "A Simple Baseline for Bayesian Uncertainty in Deep Learning"
  ☆464Updated last year
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆162Updated 2 years ago
• ssnl / dataset-distillation
  Open-source code for paper "Dataset Distillation"
  ☆810Updated last week