sIncerass / powernorm
[ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
☆119Updated 3 years ago
Alternatives and similar repositories for powernorm:
Users that are interested in powernorm are comparing it to the libraries listed below
- Official PyTorch Implementation of Long-Short Transformer (NeurIPS 2021).☆226Updated 2 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.☆102Updated 3 years ago
- Parameter Efficient Transfer Learning with Diff Pruning☆73Updated 4 years ago
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆257Updated 3 years ago
- Implementation of Long-Short Transformer, combining local and global inductive biases for attention over long sequences, in Pytorch☆118Updated 3 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year
- Compression of NMT transformer model with tensor methods☆48Updated 5 years ago
- Fully featured implementation of Routing Transformer☆288Updated 3 years ago
- Pytorch implementation of the hamburger module from the ICLR 2021 paper "Is Attention Better Than Matrix Decomposition"☆98Updated 4 years ago
- Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)☆101Updated 4 years ago
- PyTorch Examples repo for "ReZero is All You Need: Fast Convergence at Large Depth"☆62Updated 6 months ago
- Skyformer: Remodel Self-Attention with Gaussian Kernel and Nystr\"om Method (NeurIPS 2021)☆60Updated 2 years ago
- ☆165Updated 6 years ago
- Implementation of Fast Transformer in Pytorch☆172Updated 3 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 4 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Code for the paper PermuteFormer☆42Updated 3 years ago
- [NeurIPS'20] GradAug: A New Regularization Method for Deep Neural Networks☆93Updated 4 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆371Updated 4 years ago
- Implementation of Memformer, a Memory-augmented Transformer, in Pytorch☆111Updated 4 years ago
- Efficient reservoir sampling implementation for PyTorch☆107Updated 3 years ago
- MTAdam: Automatic Balancing of Multiple Training Loss Terms☆36Updated 4 years ago
- [ICML 2021 Oral] We show pure attention suffers rank collapse, and how different mechanisms combat it.☆164Updated 3 years ago
- Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization☆182Updated 3 years ago
- A GPT, made only of MLPs, in Jax☆57Updated 3 years ago
- Implementation of Feedback Transformer in Pytorch☆105Updated 3 years ago
- ☆62Updated 4 years ago
- Transformers without Tears: Improving the Normalization of Self-Attention☆130Updated 8 months ago
- Understanding the Difficulty of Training Transformers☆328Updated 2 years ago