RMichaelSwan / MogrifierLSTMLinks
A quick walk-through of the innards of LSTMs and a naive implementation of the Mogrifier LSTM paper in PyTorch
☆78Updated 5 years ago
Alternatives and similar repositories for MogrifierLSTM
Users that are interested in MogrifierLSTM are comparing it to the libraries listed below
Sorting:
- ☆84Updated 6 years ago
- Pytorch implementation of "Block Recurrent Transformers" (Hutchins & Schlag et al., 2022)☆84Updated 3 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆86Updated 2 years ago
- Implementation of Mogrifier LSTM in PyTorch☆34Updated 5 years ago
- Multi-head attention in PyTorch☆154Updated 6 years ago
- Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch☆70Updated 5 years ago
- A PyTorch implementation of the paper - "Synthesizer: Rethinking Self-Attention in Transformer Models"☆73Updated 3 years ago
- [ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"☆95Updated 3 years ago
- Learning to Encode Position for Transformer with Continuous Dynamical Model☆59Updated 5 years ago
- [EMNLP'19] Summary for Transformer Understanding☆53Updated 6 years ago
- ECML 2019: Graph Neural Networks for Multi-Label Classification☆91Updated last year
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆230Updated 6 years ago
- ☆64Updated 4 years ago
- LAnguage Modelling Benchmarks☆138Updated 5 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆127Updated 4 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆153Updated 2 years ago
- A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.☆71Updated 3 years ago
- Variational Transformers for Diverse Response Generation☆82Updated last year
- ☆20Updated 6 years ago
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆70Updated 4 years ago
- Code for ICML 2020 paper: Do RNN and LSTM have Long Memory?☆17Updated 4 years ago
- Curriculum Learning related papers and materials☆53Updated 5 years ago
- Custom loss functions to use in (mainly) PyTorch.☆39Updated 5 years ago
- Implementation of RealFormer using pytorch☆101Updated 4 years ago
- pytorch neural network attention mechanism☆148Updated 6 years ago
- Code for the ACL2020 paper Character-Level Translation with Self-Attention☆31Updated 5 years ago
- The implementation of Meta-LSTM in "Meta Multi-Task Learning for Sequence Modeling." AAAI-18☆33Updated 7 years ago
- Selection Distribution Generator for Domain Adaptation☆27Updated 6 years ago
- Code for "Understanding and Improving Layer Normalization"☆46Updated 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