Alternatives and similar repositories for lookahead

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

• pytorch / contrib
  Implementations of ideas from recent papers
  ☆392Updated 5 years ago
• t-vi / pytorch-tvmisc
  Totally Versatile Miscellanea for Pytorch
  ☆476Updated 3 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆195Updated 4 years ago
• uber-research / deconstructing-lottery-tickets
  ☆145Updated 2 years ago
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆147Updated last year
• loshchil / AdamW-and-SGDW
  Decoupled Weight Decay Regularization (ICLR 2019)
  ☆286Updated 7 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆155Updated 6 years ago
• eladhoffer / utils.pytorch
  Utilities for Pytorch
  ☆88Updated 3 years ago
• cybertronai / pytorch-lamb
  Implementation of https://arxiv.org/abs/1904.00962
  ☆377Updated 5 years ago
• szymonmaszke / torchdatasets
  PyTorch dataset extended with map, cache etc. (tensorflow.data like)
  ☆331Updated 3 years ago
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆366Updated 7 years ago
• msamogh / nonechucks
  Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!
  ☆377Updated 3 years ago
• IssamLaradji / sls
  Implements stochastic line search
  ☆118Updated 2 years ago
• csrhddlam / pytorch-checkpoint
  ☆165Updated 7 years ago
• johnhw / differentiable_sorting
  Differentiable bitonic sorting
  ☆141Updated 5 years ago
• idiap / importance-sampling
  Code for experiments regarding importance sampling for training neural networks
  ☆328Updated 4 years ago
• mariogeiger / hessian
  hessian in pytorch
  ☆187Updated 5 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• j-min / Dropouts
  PyTorch Implementations of Dropout Variants
  ☆88Updated 8 years ago
• awslabs / adatune
  Gradient based Hyperparameter Tuning library in PyTorch
  ☆291Updated 5 years ago
• silvandeleemput / memcnn
  PyTorch Framework for Developing Memory Efficient Deep Invertible Networks
  ☆256Updated 2 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• loeweX / Greedy_InfoMax
  Code for the paper: Putting An End to End-to-End: Gradient-Isolated Learning of Representations
  ☆291Updated 2 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated last month
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• Cyanogenoid / dspn
  [NeurIPS 2019] Deep Set Prediction Networks
  ☆101Updated 5 years ago
• dbaranchuk / memory-efficient-maml
  Memory efficient MAML using gradient checkpointing
  ☆86Updated 6 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 5 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• noahgolmant / pytorch-hessian-eigenthings
  Efficient PyTorch Hessian eigendecomposition tools!
  ☆384Updated last year