keitakurita / Better_LSTM_PyTorch
An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
☆132Updated 5 years ago
Alternatives and similar repositories for Better_LSTM_PyTorch:
Users that are interested in Better_LSTM_PyTorch are comparing it to the libraries listed below
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆136Updated 3 years ago
- ☆76Updated 4 years ago
- The Annotated Encoder Decoder with Attention☆166Updated 3 years ago
- PyTorch DataLoader for seq2seq☆84Updated 5 years ago
- LAnguage Modelling Benchmarks☆137Updated 4 years ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- Understanding and visualizing PyTorch Batching with LSTM☆139Updated 7 years ago
- Two-Layer Hierarchical Softmax Implementation for PyTorch☆69Updated 4 years ago
- Sequence to Sequence Models in PyTorch☆44Updated 6 months ago
- Dilated RNNs in pytorch☆212Updated 5 years ago
- ☆153Updated 7 years ago
- Implementation of soft dynamic time warping in pytorch☆100Updated 3 years ago
- Scripts to train a bidirectional LSTM with knowledge distillation from BERT☆158Updated 5 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆471Updated 5 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆226Updated 5 years ago
- A PyTorch implementation of the Transformer model from "Attention Is All You Need".☆59Updated 5 years ago
- Minimal tutorial on packing and unpacking sequences in pytorch☆210Updated 6 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆279Updated 6 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆245Updated 6 years ago
- Encoding position with the word embeddings.☆82Updated 6 years ago
- Layer normalization implemented in Keras☆60Updated 3 years ago
- Pytorch implementation of the Variational Recurrent Neural Network (VRNN).☆281Updated 3 years ago
- Implementation of Universal Transformer in Pytorch☆258Updated 6 years ago
- Cascaded Text Generation with Markov Transformers☆129Updated last year
- Character-aware Neural Language Model implemented by PyTorch☆35Updated 6 years ago
- Recurrent Variational Autoencoder that generates sequential data implemented with pytorch☆358Updated 7 years ago
- A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"☆80Updated 6 years ago
- Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch☆61Updated 6 years ago
- MT Tutorial for the JSALT 2019 Summer School☆48Updated 5 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆152Updated last year