Alternatives and similar repositories for ada-hessian

Users that are interested in ada-hessian are comparing it to the libraries listed below

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆126Updated last year
• g-benton / loss-surface-simplexes
  ☆100Updated 3 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆147Updated last year
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated last year
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆182Updated 4 years ago
• michaelsdr / momentumnet
  Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities
  ☆208Updated last year
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆63Updated 4 years ago
• lessw2020 / Best-Deep-Learning-Optimizers
  Collection of the latest, greatest, deep learning optimizers (for Pytorch) - CNN, NLP suitable
  ☆216Updated 4 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• toshas / torch-householder
  Efficient Householder Transformation in PyTorch
  ☆66Updated 4 years ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆96Updated 3 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆38Updated 4 years ago
• amirgholami / adahessian
  ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
  ☆277Updated 2 years ago
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆51Updated last year
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆179Updated last week
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆116Updated 2 years ago
• ischlag / fast-weight-transformers
  Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.
  ☆105Updated 4 years ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆189Updated 8 months ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 years ago
• nec-research / tf-imle
  Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation
  ☆67Updated 3 years ago
• IssamLaradji / sps
  Official code for the Stochastic Polyak step-size optimizer
  ☆139Updated last year
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆65Updated 2 months ago
• choidami / sst
  ☆50Updated 4 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago