Alternatives and similar repositories for R-transformer

Users that are interested in R-transformer are comparing it to the libraries listed below

• mttk / rnn-classifier
  Minimal RNN classifier with self-attention in Pytorch
  ☆150Updated 3 years ago
• google-deepmind / lamb
  LAnguage Modelling Benchmarks
  ☆138Updated 5 years ago
• keitakurita / Better_LSTM_PyTorch
  An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.
  ☆134Updated 5 years ago
• andreamad8 / Universal-Transformer-Pytorch
  Implementation of Universal Transformer in Pytorch
  ☆261Updated 6 years ago
• laiguokun / Funnel-Transformer
  ☆218Updated 5 years ago
• Stonesjtu / Pytorch-NCE
  The Noise Contrastive Estimation for softmax output written in Pytorch
  ☆319Updated 5 years ago
• locuslab / trellisnet
  [ICLR'19] Trellis Networks for Sequence Modeling
  ☆471Updated 5 years ago
• XuezheMax / flowseq
  Generative Flow based Sequence-to-Sequence Toolkit written in Python.
  ☆245Updated 5 years ago
• seba-1511 / lstms.pth
  PyTorch implementations of LSTM Variants (Dropout + Layer Norm)
  ☆137Updated 4 years ago
• tatp22 / linformer-pytorch
  My take on a practical implementation of Linformer for Pytorch.
  ☆417Updated 3 years ago
• Rick-McCoy / Reformer-pytorch
  Implements Reformer: The Efficient Transformer in pytorch.
  ☆86Updated 5 years ago
• cerebroai / reformers
  Efficient Transformers for research, PyTorch and Tensorflow using Locality Sensitive Hashing
  ☆95Updated 5 years ago
• monk1337 / Various-Attention-mechanisms
  This repository contain various types of attention mechanism like Bahdanau , Soft attention , Additive Attention , Hierarchical Attention…
  ☆125Updated 3 years ago
• FreedomIntelligence / complex-order
  ☆83Updated 5 years ago
• lancopku / Prime
  A simple module consistently outperforms self-attention and Transformer model on main NMT datasets with SoTA performance.
  ☆85Updated 2 years ago
• baaesh / DiSAN-pytorch
  DiSAN: Directional Self-Attention Network for RNN/CNN-Free Language Understanding
  ☆26Updated 7 years ago
• b-etienne / Seq2seq-PyTorch
  ☆76Updated 5 years ago
• gitabcworld / skiprnn_pytorch
  A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"
  ☆81Updated 6 years ago
• epfml / collaborative-attention
  Code for Multi-Head Attention: Collaborate Instead of Concatenate
  ☆152Updated 2 years ago
• budzianowski / PyTorch-Beam-Search-Decoding
  PyTorch implementation of beam search decoding for seq2seq models
  ☆337Updated 2 years ago
• guolinke / TUPE
  Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…
  ☆251Updated 3 years ago
• kaushalshetty / Positional-Encoding
  Encoding position with the word embeddings.
  ☆83Updated 7 years ago
• yunjey / seq2seq-dataloader
  PyTorch DataLoader for seq2seq
  ☆85Updated 6 years ago
• andrewpeng02 / transformer-translation
  Using Pytorch's nn.Transformer module to create an english to french neural machine translation model.
  ☆78Updated 5 years ago
• bastings / annotated_encoder_decoder
  The Annotated Encoder Decoder with Attention
  ☆166Updated 4 years ago
• lingyongyan / Neural-Machine-Translation
  PyTorch implementation of "Effective Approaches to Attention-based Neural Machine Translation" using scheduled sampling to improve the pa…
  ☆38Updated 8 years ago
• TensorUI / relative-position-pytorch
  a pytorch implementation of self-attention with relative position representations
  ☆50Updated 4 years ago
• nadavbh12 / Character-Level-Language-Modeling-with-Deeper-Self-Attention-pytorch
  Reproducing Character-Level-Language-Modeling with Deeper Self-Attention in PyTorch
  ☆61Updated 6 years ago
• AuCson / PyTorch-Batch-Attention-Seq2seq
  PyTorch implementation of batched bi-RNN encoder and attention-decoder.
  ☆280Updated 6 years ago
• abduallahmohamed / Nested-LSTM-NLSTM-Pytorch
  NLSTM Nested LSTM in Pytorch
  ☆17Updated 7 years ago