Alternatives and similar repositories for adahessian:

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

• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆572Updated 2 months ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆77Updated 4 years ago
• amirgholami / PyHessian
  PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
  ☆720Updated 10 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆185Updated 3 months ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆370Updated last year
• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆146Updated last year
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆209Updated 10 months ago
• alecwangcq / KFAC-Pytorch
  Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
  ☆130Updated 5 years ago
• cybertronai / autograd-hacks
  ☆156Updated 2 years ago
• lessw2020 / Best-Deep-Learning-Optimizers
  Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
  ☆212Updated 3 years ago
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆211Updated this week
• mariogeiger / hessian
  hessian in pytorch
  ☆186Updated 4 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆180Updated 3 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆108Updated 2 years ago
• Thrandis / EKFAC-pytorch
  Repository containing Pytorch code for EKFAC and K-FAC perconditioners.
  ☆141Updated last year
• google-research / rigl
  End-to-end training of sparse deep neural networks with little-to-no performance loss.
  ☆318Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆239Updated 2 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC Preconditioner for PyTorch
  ☆85Updated this week
• BayesWatch / nas-without-training
  Code for Neural Architecture Search without Training (ICML 2021)
  ☆464Updated 3 years ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆122Updated 4 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆138Updated 8 months ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆240Updated 2 years ago
• marcellodebernardi / loss-landscapes
  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch
  ☆321Updated last year
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆103Updated last year
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆328Updated 2 years ago
• rajatvd / NTK
  Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK
  ☆172Updated 5 years ago
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆167Updated last year
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆366Updated 2 years ago