Recosa Dialogue Generation Pytorch
Multi-turn dialogue generation using the vanilla transformer & GRU
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Contrastivelearning4dialogue | 32 | 3 years ago | 1 | mit | Python | |||||
| The codebase for "Group-wise Contrastive Learning for Neural Dialogue Generation" (Cai et al., Findings of EMNLP 2020) | ||||||||||
| Dialogved | 30 | a year ago | 3 | Python | ||||||
| Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation" | ||||||||||
| Dialoguegenerationwithemotion | 27 | 4 years ago | 4 | mit | Python | |||||
| Response generation giving specific emotion. | ||||||||||
| Dialog | 26 | 4 years ago | 1 | mit | Python | |||||
| A PyTorch Implementation of japanese chatbot using BERT and Transformer's decoder | ||||||||||
| Retrieval Based_chatbot | 24 | 5 years ago | 1 | Jupyter Notebook | ||||||
| Mmi_anti_pytorch | 20 | 6 years ago | 5 | Python | ||||||
| A pytorch implementation for the MMI-anti model | ||||||||||
| Few_shot_dialogue_generation | 16 | 4 years ago | 1 | Python | ||||||
| Dialogue Knowledge Transfer Networks (DiKTNet) | ||||||||||
| Adaptive_multi Curricula_learning_for_dialog | 16 | 2 years ago | 2 | mit | Python | |||||
| The codebase for "Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation" (Cai et al., AAAI 2020) | ||||||||||
| Recosa Dialogue Generation Pytorch | 15 | 2 years ago | mit | Python | ||||||
| Multi-turn dialogue generation using the vanilla transformer & GRU | ||||||||||
| Cvae_dial | 14 | 4 years ago | Python | |||||||
| CVAE_XGate model in paper "Xu, Dusek, Konstas, Rieser. Better Conversations by Modeling, Filtering, and Optimizing for Coherence and Diversity" | ||||||||||
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Python
Pytorch
Natural Language Processing
Natural Language Generation
Nlg
Dialogue Generation