tbachlechner / ReZero-examplesLinks
PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"
☆61Updated last year
Alternatives and similar repositories for ReZero-examples
Users that are interested in ReZero-examples are comparing it to the libraries listed below
Sorting:
- ☆47Updated 4 years ago
- "Learning Rate Dropout" in PyTorch☆34Updated 5 years ago
- [ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845☆120Updated 4 years ago
- An implementation of shampoo☆77Updated 7 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …☆39Updated 2 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆46Updated 5 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- ☆32Updated 5 years ago
- Implementation of soft parameter sharing for neural networks☆69Updated 4 years ago
- This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…☆36Updated 4 years ago
- ☆61Updated 2 years ago
- Unsupervised Data Augmentation experiments in PyTorch☆60Updated 6 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆68Updated 5 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Exploiting Uncertainty of Loss Landscape for Stochastic Optimization☆15Updated 6 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Code publication to the paper "Normalized Attention Without Probability Cage"☆16Updated 3 years ago
- ☆14Updated 6 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆92Updated 2 years ago
- Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."☆22Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- ☆34Updated 6 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- This repository has moved to: https://github.com/tkipf/c-swm☆27Updated 5 years ago
- diffGrad: An Optimization Method for Convolutional Neural Networks☆55Updated 2 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated 2 years ago
- NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).☆34Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago