AIGC-progress

AIGC Progress 🚀

You can follow the timeline to see the latest developments and easily find new models, datasets, tools, applications, and more related to AIGC through the tags.

您可以通过时间线看到最新进展，也可以通过Tag方便地找到AIGC相关的新模型、新数据集、新工具、新应用等。

Tag Introduction（Tag介绍）:

Group	Tag	Introduction	介绍
Modal 模态	🔠	Input or Output is Txt	输入或输出存在文本
	🖼️	Input or Output is Img	输入或输出存在图像
	🎵	Input or Output is Voice	输入或输出存在语音
	🎥	Input or Output is Video	输入或输出存在视频
	🧊	Input or Output is 3D	输入或输出存在3D
Resource 资源	⛽	Provide data	提供了数据
	🚌	Provide general model	提供了通用模型
	🚕	Provide custom model, include domain-specific models such as legal and medical models, as well as models for code generation and SQL generation.	提供了定制模型，包含法律、医学等垂类模型以及代码生成、SQL生成等模型
	📝	Provide tutorial or collections	教程、集锦等
Code 代码	1️⃣	Provide pre-training code	提供预训练代码
	2️⃣	Provide training/fine-tuning code	提供训练/微调代码
	3️⃣	Provide RLHF-like code	提供人类反馈强化学习相关代码
	✂️	Model compression, such as pruning and quantization.	提供剪枝、量化等模型压缩代码
	💡	Perform inference on mobile, embeded, IoT and other devices.	提供端侧推理代码
Application 应用	🔨	Provide some tools to utilize the model. You can further filter relevant tools through the language tags.	提供更好的工具去使用模型。可以通过编程语言标签进一步过滤相关工具。
	🔌	Provide model plugin	提供了相关插件
	❓	Other uncategorized items	其它不好分类的
Other 其它	💰	Commercial friendly	商业友好
	🀄	The model or dataset is Chinese	中文模型或中文数据集

Note: The features listed in the Todo list in the repository will also be marked in the tags. They might not have been implemented yet.

[注] 仓库Todo列出的功能也会被标记到tag中，它们可能还没有被实现。

How To Read （如何阅读）:

1. open the website to filter and sort online. 打开网站在线筛选、排序。

   Some examples:

   • Commercially Available Chinese Language Model | 可商用中文大模型

   • NLP Fine-Tuning Framework | NLP模型微调框架

   • NLP Inference Acceleration | NLP模型推理加速

   • NLP Tools in Python | Python版NLP工具

2. open xlsx file to filter or sort the repositories by your own. 打开xlsx文件自行筛选或排序。

How To Contribute （如何贡献）:

If you find any missing repositories or incorrectly tagged repositories, please feel free to submit issues or pull requests :)

如果您发现存在某些仓库的缺漏或者存在Tag打错了的情况，欢迎提交issues或PR :)