Alternatives and similar repositories for ReZero-examples

Users that are interested in ReZero-examples are comparing it to the libraries listed below

• ItzikMalkiel / MTAdam
  MTAdam: Automatic Balancing of Multiple Training Loss Terms
  ☆36Updated 4 years ago
• izmailovpavel / torch_swa_examples
  ☆47Updated 4 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
• sIncerass / powernorm
  [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
  ☆120Updated 4 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆77Updated 7 years ago
• editable-ICLR2020 / editable
  ☆32Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• yaohungt / Adaptive-Regularization-Neural-Network
  [NeurIPS'19] [PyTorch] Adaptive Regularization in NN
  ☆68Updated 5 years ago
• lucidrains / hamburger-pytorch
  Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"
  ☆99Updated 4 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• vfdev-5 / UDA-pytorch
  Unsupervised Data Augmentation experiments in PyTorch
  ☆60Updated 6 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• lolemacs / soft-sharing
  Implementation of soft parameter sharing for neural networks
  ☆69Updated 4 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• facebookresearch / qhoptim
  Implementations of quasi-hyperbolic optimization algorithms.
  ☆102Updated 5 years ago
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 2 years ago
• takashiishida / flooding
  [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
  ☆92Updated 2 years ago
• OliverRichter / normalized-attention
  Code publication to the paper "Normalized Attention Without Probability Cage"
  ☆16Updated 3 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 3 years ago
• Holmeswww / PPOGAN
  ☆25Updated last year
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆151Updated 2 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• salesforce / NeuralBayes
  ☆24Updated 3 months ago
• hendrycks / GELUs
  A smoother activation function (undergrad code)
  ☆112Updated 5 years ago
• c-swm / c-swm
  This repository has moved to: https://github.com/tkipf/c-swm
  ☆27Updated 5 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 5 years ago
• asteroidhouse / self-tuning-networks
  Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088
  ☆53Updated 6 years ago