RMichaelSwan / MogrifierLSTMLinks
A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
☆77Updated 4 years ago
Alternatives and similar repositories for MogrifierLSTM
Users that are interested in MogrifierLSTM are comparing it to the libraries listed below
Sorting:
- Implementation of Mogrifier LSTM in PyTorch☆35Updated 5 years ago
- ☆83Updated 5 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆85Updated last year
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 2 years ago
- LAnguage Modelling Benchmarks☆137Updated 5 years ago
- The code of Encoding Word Order in Complex-valued Embedding☆42Updated 5 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆126Updated 3 years ago
- document classification using LSTM + self attention☆112Updated 5 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- ☆20Updated 5 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆60Updated 4 years ago
- Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)☆84Updated 3 years ago
- Simple implement dilated LSTM, residual LSTM and Attention LSTM (follow the corresponding papers).☆17Updated 5 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 5 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- NLSTM Nested LSTM in Pytorch☆17Updated 7 years ago
- Code for the ACL2020 paper Character-Level Translation with Self-Attention☆31Updated 4 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 5 years ago
- Keras implement of ON-LSTM (Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks)☆156Updated 5 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 4 years ago
- SRU implement in pytorch（Training RNNs as Fast as CNNs）☆47Updated 2 years ago
- Leveraging Local and Global Patterns for Self-Attention Networks☆12Updated 6 years ago
- Keras implementation of “Gated Linear Unit ”☆23Updated last year
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆133Updated 5 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆90Updated 11 months ago
- a pytorch implementation of self-attention with relative position representations☆50Updated 4 years ago
- How Does Selective Mechanism Improve Self-attention Networks?☆28Updated 4 years ago
- Variational Transformers for Diverse Response Generation☆81Updated 11 months ago
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆69Updated 4 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆230Updated 5 years ago