lsdefine / attention-is-all-you-need-keras
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
☆712Updated 3 years ago
Alternatives and similar repositories for attention-is-all-you-need-keras
Users that are interested in attention-is-all-you-need-keras are comparing it to the libraries listed below
Sorting:
- Keras library for building (Universal) Transformers, facilitating BERT and GPT models☆537Updated 4 years ago
- Transformer implemented in Keras☆372Updated 3 years ago
- Keras implementation of BERT with pre-trained weights☆814Updated 5 years ago
- Attention mechanism for processing sequential data that considers the context for each timestamp.☆655Updated 3 years ago
- TensorFlow implementation of 'Attention Is All You Need (2017. 6)'☆348Updated 7 years ago
- A wrapper layer for stacking layers horizontally☆228Updated 3 years ago
- Visualizing RNNs using the attention mechanism☆750Updated 5 years ago
- An example attention network with simple dataset.☆230Updated 6 years ago
- Keras Layer implementation of Attention for Sequential models☆441Updated 2 years ago
- Implementation of papers for text classification task on DBpedia☆738Updated 4 years ago
- Hierarchical Attention Networks for Document Classification in PyTorch☆604Updated 5 years ago
- some attention implements☆1,445Updated 5 years ago
- Tensorflow implementation of attention mechanism for text classification tasks.☆748Updated 5 years ago
- Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will proba…☆465Updated last year
- Text classifier for Hierarchical Attention Networks for Document Classification☆1,077Updated 3 years ago
- Four styles of encoder decoder model by Python, Theano, Keras and Seq2Seq☆278Updated 7 years ago
- Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP☆441Updated 9 months ago
- Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with Ten…☆357Updated last year
- Keras Attention Layer (Luong and Bahdanau scores).☆2,810Updated last year
- Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch☆699Updated 4 years ago
- How to use ELMo embeddings in Keras with Tensorflow Hub☆259Updated 6 years ago
- Neural Machine Translation with Keras☆530Updated 3 years ago
- Sequence to Sequence Models with PyTorch☆738Updated 3 years ago
- Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN☆964Updated 6 years ago
- Attention-based sequence to sequence learning☆391Updated 6 years ago
- A Capsule Implement with Pure Keras☆351Updated 5 years ago
- Sequence to sequence learning using TensorFlow.☆389Updated 7 years ago
- Code of Directional Self-Attention Network (DiSAN)☆311Updated 7 years ago
- Deep Reinforcement Learning For Sequence to Sequence Models☆767Updated 2 years ago
- Tensorflow implementation of contextualized word representations from bi-directional language models☆1,616Updated 2 years ago