NLP made easy
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Updated
Oct 6, 2023 - Python
NLP made easy
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
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.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
TextBox 2.0 is a text generation library with pre-trained language models
NNDial 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.
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An NLP system for generating reading comprehension questions
REBEL is a seq2seq model that simplifies Relation Extraction (EMNLP 2021).
Multimodal AI Story Teller, built with Stable Diffusion, GPT, and neural text-to-speech
Statistical NLG for spoken dialogue systems
PyTorch Implementation of OpenAI GPT-2
Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.
Live Training for Open-source Big Models
SeqGAN tensorflow implementation
Text2Text: Crosslingual NLP/G toolkit
A comprehensive, unified and modular event extraction toolkit.
ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation
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