Ludwig is a toolbox that allows to train and evaluate deep learning models without the need to write code.

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

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Plug and Play Language Model implementation. Allows to steer topic and attributes of GPT-2 models.

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.

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

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.

Compendium of the resources available from top NLP conferences.

Neural question generation using transformers

Accelerated Text helps you to automatically generate natural language descriptions of your data, varying in wording and structure.

Convert a number to an approximated text expression: from '0.23' to 'less than a quarter'.

Statistical NLG for spoken dialogue systems

A curated list of resources dedicated to Natural Language Generation (NLG)

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Reading list for knowledge-enhanced text generation

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Conversational Toolkit. An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation

SeqGAN tensorflow implementation

This is my reading list for my PhD in AI, NLP, Deep Learning and more.

A PyTorch Implementation of "Toward Controlled Generation of Text"

Fine-tuned pre-trained GPT2 for custom topic specific text generation. Such system can be used for Text Augmentation.

Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

Random fun with statistical language models.

🎡 中文近义词工具包，聊天机器人

NAACL 2019: Submodular optimization-based diverse paraphrasing and its effectiveness in data augmentation