andreamad8 / Universal-Transformer-Pytorch
Implementation of Universal Transformer in Pytorch
☆256Updated 5 years ago
Related projects: ⓘ
- PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"☆269Updated 2 years ago
- Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"☆577Updated 5 years ago
- Generative Flow based Sequence-to-Sequence Toolkit written in Python.☆243Updated 4 years ago
- ☆392Updated 5 years ago
- Latent Alignment and Variational Attention☆326Updated 5 years ago
- Implementation of Dual Learning NMT on PyTorch☆162Updated 6 years ago
- Neural Text Generation with Unlikelihood Training☆311Updated 3 years ago
- Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve exis…☆249Updated 2 years ago
- ☆120Updated 5 years ago
- Sequence-to-Sequence learning using PyTorch☆521Updated 4 years ago
- Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Re…☆309Updated 5 years ago
- ☆211Updated 4 years ago
- Codes for "Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View"☆146Updated 5 years ago
- Implementation of the paper Tree Transformer☆210Updated 4 years ago
- Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.☆224Updated 5 years ago
- Reinforcement Learning for Neural Machine Translation☆186Updated last year
- Transformer training code for sequential tasks☆608Updated 3 years ago
- A masked language modeling objective to train a model to predict any subset of the target words, conditioned on both the input text and a…☆238Updated 3 years ago
- An implementation of DeepMind's Relational Recurrent Neural Networks (NeurIPS 2018) in PyTorch.☆244Updated 5 years ago
- Pytorch Implementation of ALBERT(A Lite BERT for Self-supervised Learning of Language Representations)☆225Updated 3 years ago
- PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)☆174Updated last month
- Recurrent Variational Autoencoder that generates sequential data implemented with pytorch☆357Updated 7 years ago
- Code for the paper "Are Sixteen Heads Really Better than One?"☆165Updated 4 years ago
- The Noise Contrastive Estimation for softmax output written in Pytorch☆318Updated 4 years ago
- A neural machine translation model in PyTorch☆117Updated 5 years ago
- Minimal RNN classifier with self-attention in Pytorch☆148Updated 2 years ago
- PyTorch implementation of beam search decoding for seq2seq models☆333Updated last year
- Optimus: the first large-scale pre-trained VAE language model☆367Updated last year
- Source Code for DialogWAE: Multimodal Response Generation with Conditional Wasserstein Autoencoder (https://arxiv.org/abs/1805.12352)☆125Updated 6 years ago
- Reproducing Hu, et. al., ICML 2017's "Toward Controlled Generation of Text"☆241Updated 5 years ago