Alternatives and similar repositories for optimistic-adam:

Users that are interested in optimistic-adam are comparing it to the libraries listed below

• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆123Updated 8 months ago
• mmrl / disent-and-gen
  Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).
  ☆22Updated 2 years ago
• cybertronai / pytorch-sso
  PyTorch-SSO: Scalable Second-Order methods in PyTorch
  ☆145Updated last year
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆145Updated 10 months ago
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆122Updated 4 years ago
• choidami / sst
  ☆49Updated 4 years ago
• cunningham-lab / cb_and_cc
  ☆36Updated 2 years ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆66Updated 4 years ago
• ShangtongZhang / rebib
  Retrieve information from DBLP and update BibTex files automatically
  ☆55Updated 2 years ago
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆62Updated last year
• thjashin / spectral-stein-grad
  Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)
  ☆33Updated last year
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated last month
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 6 years ago
• prolearner / hypertorch
  ☆122Updated 10 months ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 3 years ago
• gknilsen / pyhessian
  pyhessian is a TensorFlow module which can be used to estimate Hessian matrices
  ☆24Updated 4 years ago
• team-approx-bayes / dnn2gp
  Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)
  ☆48Updated 5 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆64Updated 4 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆108Updated 2 years ago
• ssydasheng / FBNN
  Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
  ☆82Updated 4 years ago
• f-t-s / CGD
  This repository contains the Julia code for the paper "Competitive Gradient Descent"
  ☆24Updated 5 years ago
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• facebookresearch / GAN-optimization-landscape
  code to reproduce the empirical results in the research paper
  ☆35Updated 3 years ago
• KordingLab / hilbert-constrained-gradient-descent
  Pytorch optimizers implementing Hilbert Constrained Gradient Descent
  ☆19Updated 5 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆112Updated this week
• IBM / OoD
  Repository for theory and methods for Out-of-Distribution (OoD) generalization
  ☆63Updated 3 years ago