CyberZHG / torch-multi-head-attentionLinks
Multi-head attention in PyTorch
☆153Updated 6 years ago
Alternatives and similar repositories for torch-multi-head-attention
Users that are interested in torch-multi-head-attention are comparing it to the libraries listed below
Sorting:
- Implement the paper "Self-Attention with Relative Position Representations"☆135Updated 4 years ago
- A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch☆78Updated 4 years ago
- Experiments with supervised contrastive learning methods with different loss functions☆220Updated 2 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- A pytorch &keras implementation and demo of Fastformer.☆189Updated 2 years ago
- Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning a…☆269Updated 2 years ago
- ☆83Updated 5 years ago
- This is a repository for Multi-task learning with toy data in Pytorch and Tensorflow☆136Updated 6 years ago
- This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018☆178Updated 3 years ago
- Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms☆259Updated 4 years ago
- MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, …☆89Updated 5 years ago
- PyTorch implementation of Representation Learning with Contrastive Predictive Coding by Van den Oord et al. (2018)☆85Updated 3 years ago
- PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…☆38Updated 7 years ago
- a pytorch implementation of self-attention with relative position representations☆50Updated 4 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- A collection of awesome things about mixed sample data augmentation☆132Updated 5 years ago
- Independent implementation of Supervised Contrastive Loss. Straight to the point and beyond☆81Updated 4 years ago
- PyTorch implementation of Pay Attention to MLPs☆40Updated 4 years ago
- For paper《Gaussian Transformer: A Lightweight Approach for Natural Language Inference》☆28Updated 5 years ago
- Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)☆76Updated 5 years ago
- an implementation of Deep Variational Informational Bottleneck in pytorch (https://arxiv.org/pdf/1612.00410.pdf)☆33Updated 7 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 implementing the experiments described in the paper "On The Power of Curriculum Learning in Training Deep Networks" by Hacohen & Wei…☆112Updated 5 years ago
- pytorch implementation Variational Autoencoder and Conditional Variational Autoencoder☆80Updated 6 years ago
- some basic deep learning models/method for nlp, text classification.☆80Updated 5 years ago
- [ICLR 2022] Official implementation of cosformer-attention in cosFormer: Rethinking Softmax in Attention☆194Updated 2 years ago
- Awesome Contrastive Learning for CV & NLP☆163Updated 3 years ago
- Implementation of RealFormer using pytorch☆100Updated 4 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆230Updated 6 years ago
- A PyTorch implementation of the Compact Multi-Head Self-Attention Mechanism from the paper: "Low Rank Factorization for Compact Multi-Hea…☆25Updated 5 years ago