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:
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated last year
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆120Updated 4 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 5 years ago
- ☆47Updated 4 years ago
- Fully featured implementation of Routing Transformer☆299Updated 4 years ago
- Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"☆89Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆111Updated 4 years ago
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆228Updated 3 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆99Updated 4 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆269Updated 4 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆170Updated 4 years ago
- Implementation of Fast Transformer in Pytorch☆177Updated 4 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆74Updated 4 years ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆63Updated 3 years ago
- Implementation of RealFormer using pytorch☆101Updated 5 years ago
- Code for the paper PermuteFormer☆42Updated 4 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆182Updated 4 years ago
- The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…☆67Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆108Updated 4 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆126Updated 5 years ago
- [NeurIPS 2020] Official Implementation: "SMYRF: Efficient Attention using Asymmetric Clustering".☆50Updated 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
- Implementation of Online Label Smoothing in PyTorch☆95Updated 3 years ago
- An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain☆34Updated 5 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆94Updated 5 years ago
- This repository contains the code for the paper in Findings of EMNLP 2021: "EfficientBERT: Progressively Searching Multilayer Perceptron …☆33Updated 2 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 6 years ago
- Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."☆132Updated 4 years ago