RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
$ git clone https://github.com/shawnwun/RNNLG.gitNNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)
A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning
Conversational Toolkit. An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Data from GitHub · snapshot Nov 13, 2026