Mutimode Language Generation
2019-2020 innovation project of Beijing institute of technology，mainly focused on Mutimodal text generation problem.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Gpt 2 Simple | 3,067 |  | 3 | 4 | a year ago | 18 | October 18, 2021 | 170 | other | Python |
| Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts | ||||||||||
| Textbox | 966 | a year ago | 10 | April 15, 2021 | 3 | mit | Python | |||
| TextBox 2.0 is a text generation library with pre-trained language models | ||||||||||
| Texygen | 812 | 3 years ago | 31 | mit | Python | |||||
| A text generation benchmarking platform | ||||||||||
| Textgan Pytorch | 743 | a year ago | 34 | mit | Python | |||||
| TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models. | ||||||||||
| Texar Pytorch | 711 |  | 1 | 3 | 2 years ago | 5 | April 14, 2022 | 36 | apache-2.0 | Python |
| Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/ | ||||||||||
| Leakgan | 561 | 2 years ago | 21 | Python | ||||||
| The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning. | ||||||||||
| Nlp_pytorch_project | 517 | 10 months ago | 15 | Python | ||||||
| Embedding, NMT, Text_Classification, Text_Generation, NER etc. | ||||||||||
| Recipenlg | 505 | 2 years ago | Jupyter Notebook | |||||||
| Set of scripts and notebooks used to produce results visible in RecipeNLG paper | ||||||||||
| Awesome Text Generation | 418 | 2 years ago | 1 | |||||||
| A curated list of recent models of text generation and application | ||||||||||
| Kenlg Reading | 393 | 2 years ago | ||||||||
| Author: Wenhao Yu ([email protected]). ACM Computing Survey'22. Reading list for knowledge-enhanced text generation, with a survey. | ||||||||||
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