text-generation

Chinese version of GPT2 training code, using BERT tokenizer.

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/

GPT2 for Chinese chitchat/用于中文闲聊的GPT2模型(实现了DialoGPT的MMI思想)

Large-scale pretraining for dialogue

DELTA is a deep learning based natural language and speech processing platform.

NLP and Text Generation Experiments in TensorFlow 2.x / 1.x

GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型

A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models

Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Summarization Papers

TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

Chinese NewsTitle Generation Project by GPT2.带有超级详细注释的中文GPT2新闻标题生成项目。

Accelerated Text is a no-code natural language generation platform. It will help you construct document plans which define how your data is converted to textual descriptions varying in wording and structure.

A curated list of recent models of text generation and application

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

A text generation reading list maintained by Tsinghua Natural Language Processing Group.

Author: Wenhao Yu (wyu1@nd.edu). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

✍🏻 gpt2-client: Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, and 1.5B Transformer Models 🤖 📝

TextBox is an open-source library for building text generation system.

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).

Text-generation API via GPT-2 for Cloud Run

A tool that AI automatically recommends commit messages.

DGMs for NLP. A roadmap.

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.