DSE-MSU / R-transformerLinks
Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
☆230Updated 6 years ago
Alternatives and similar repositories for R-transformer
Users that are interested in R-transformer are comparing it to the libraries listed below
Sorting:
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- Minimal RNN classifier with self-attention in Pytorch☆152Updated 3 years ago
- LAnguage Modelling Benchmarks☆138Updated 5 years ago
- Implementation of Universal Transformer in Pytorch☆263Updated 6 years ago
- ☆219Updated 5 years ago
- This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…☆125Updated 4 years ago
- ☆76Updated 5 years ago
- Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing☆95Updated 5 years ago
- ☆84Updated 5 years ago
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆246Updated 5 years ago
- A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.☆86Updated 2 years ago
- Implements Reformer: The Efficient Transformer in pytorch.☆86Updated 5 years ago
- [ICLR'19] Trellis Networks for Sequence Modeling☆473Updated 6 years ago
- PyTorch implementations of LSTM Variants (Dropout + Layer Norm)☆137Updated 4 years ago
- My take on a practical implementation of Linformer for Pytorch.☆421Updated 3 years ago
- Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch☆62Updated 6 years ago
- The Noise Contrastive Estimation for softmax output written in Pytorch☆319Updated 5 years ago
- Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)☆227Updated 4 years ago
- Easy to use NLP library built on PyTorch and TorchText☆256Updated 5 years ago
- The Annotated Encoder Decoder with Attention☆166Updated 4 years ago
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆252Updated 3 years ago
- DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding☆26Updated 7 years ago
- PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…☆38Updated 8 years ago
- A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.☆102Updated 3 years ago
- PyTorch implementation of batched bi-RNN encoder and attention-decoder.☆281Updated 6 years ago
- Encoding position with the word embeddings.☆84Updated 7 years ago
- Semi Supervised Learning for Text-Classification☆83Updated 6 years ago
- Code for Multi-Head Attention: Collaborate Instead of Concatenate☆151Updated 2 years ago
- PyTorch DataLoader for seq2seq☆85Updated 6 years ago
- Cascaded Text Generation with Markov Transformers☆129Updated 2 years ago