sIncerass / powernormLinks
[ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
☆120Updated 4 years ago
Alternatives and similar repositories for powernorm
Users that are interested in powernorm are comparing it to the libraries listed below
Sorting:
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated 2 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆119Updated 3 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
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆61Updated 11 months ago
- ☆47Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆165Updated 4 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆225Updated 3 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆265Updated 3 years ago
- Fully featured implementation of Routing Transformer☆296Updated 3 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
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Implementation of Fast Transformer in Pytorch☆175Updated 3 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆62Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 4 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated last year
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 2 years ago
- Evaluating AlexNet features at various depths☆40Updated 4 years ago
- Efficient reservoir sampling implementation for PyTorch☆106Updated 3 years ago
- Zero-Shot Knowledge Distillation in Deep Networks☆67Updated 3 years ago
- Implementation of Online Label Smoothing in PyTorch☆94Updated 2 years ago
- The official implementation of You Only Compress Once: Towards Effective and Elastic BERT Compression via Exploit-Explore Stochastic Natu…☆48Updated 4 years ago
- ☆32Updated 5 years ago
- Implementation of RealFormer using pytorch☆100Updated 4 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Compressing Representations for Self-Supervised Learning☆78Updated 4 years ago