Alternatives and similar repositories for shampoo.pytorch:

Users that are interested in shampoo.pytorch are comparing it to the libraries listed below

• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 4 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆112Updated 4 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆148Updated 7 years ago
• eladhoffer / fix_your_classifier
  ☆34Updated 6 years ago
• noahgolmant / pytorch-lars
  "Layer-wise Adaptive Rate Scaling" in PyTorch
  ☆86Updated 3 years ago
• ppwwyyxx / FRN-on-common-ImageNet-baseline
  Filter Response Normalization tested on better ImageNet baselines.
  ☆35Updated 4 years ago
• brain-research / conv-sv
  The Singular Values of Convolutional Layers
  ☆71Updated 6 years ago
• hysts / pytorch_shake_shake
  A PyTorch implementation of shake-shake
  ☆111Updated 4 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 6 years ago
• lanpa / tensorboard-pytorch-examples
  A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
  ☆83Updated 6 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 5 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 6 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆67Updated 5 years ago
• BorealisAI / bre-gan
  Code for ICLR2018 paper: Improving GAN Training via Binarized Representation Entropy (BRE) Regularization - Y. Cao · W Ding · Y.C. Lui · …
  ☆20Updated 6 years ago
• necludov / group-sparsity-sbp
  Structured Bayesian Pruning, NIPS 2017
  ☆73Updated 4 years ago
• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆89Updated 2 years ago
• lballes / msvag
  TensorFlow implementation of (Momentum) Stochastic Variance-Adapted Gradient.
  ☆44Updated 6 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 6 years ago
• brain-research / mean-field-cnns
  ☆34Updated 5 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated last year
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 3 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 5 years ago
• oval-group / dfw
  Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch
  ☆62Updated 3 years ago
• uber-research / loss-change-allocation
  ☆61Updated last year
• ShangyuanTong / PairGAN
  ☆21Updated 4 years ago
• kefirski / variational_dropout
  Implementation of "Variational Dropout and the Local Reparameterization Trick" paper with Pytorch
  ☆50Updated 7 years ago