CyberZHG / keras-multi-headLinks
A wrapper layer for stacking layers horizontally
☆228Updated 3 years ago
Alternatives and similar repositories for keras-multi-head
Users that are interested in keras-multi-head are comparing it to the libraries listed below
Sorting:
- Attention mechanism for processing sequential data that considers the context for each timestamp.☆656Updated 3 years ago
- Transformer implemented in Keras☆369Updated 3 years ago
- Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…☆362Updated last year
- Keras library for building (Universal) Transformers, facilitating BERT and GPT models☆538Updated 5 years ago
- Keras Layer implementation of Attention for Sequential models☆440Updated 2 years ago
- A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need☆712Updated 3 years ago
- Layer normalization implemented in Keras☆60Updated 3 years ago
- Attention-based bidirectional LSTM for Classification Task (ICASSP)☆115Updated 2 years ago
- attention-based LSTM/Dense implemented by Keras☆298Updated 7 years ago
- 自注意力与文本分类☆119Updated 6 years ago
- An example attention network with simple dataset.☆229Updated 6 years ago
- Collection of custom layers and utility functions for Keras which are missing in the main framework.☆62Updated 5 years ago
- An Attention Layer in Keras☆43Updated 6 years ago
- Implementation of the Transformer architecture described by Vaswani et al. in "Attention Is All You Need"☆28Updated 6 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
- Binary and Categorical Focal loss implementation in Keras.☆279Updated 8 months ago
- A bidirectional LSTM with attention for multiclass/multilabel text classification.☆173Updated 11 months ago
- TensorFlow implementation of focal loss☆190Updated 4 years ago
- Re-implementation of ELMo on Keras☆134Updated 2 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 3 years ago
- document classification using LSTM + self attention☆113Updated 5 years ago
- Text autoencoder with LSTMs☆260Updated 6 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- Position embedding layers in Keras☆58Updated 3 years ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- Contains an implementation of the attention mechanism and a keras text classifier wrapper.☆28Updated 6 years ago
- Transformer-XL with checkpoint loader☆68Updated 3 years ago
- 利用keras搭建的胶囊网络(capsule network文本分类模型,包含RNN、CNN、HAN等,其中keras_utils包含了capsule层和attention层的keras实现☆78Updated 7 years ago
- Visualizing RNNs using the attention mechanism☆750Updated 6 years ago
- Keras implementation of BERT with pre-trained weights☆814Updated 6 years ago