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https://kinghuin.github.io/AIGC-progress/

Follow the rapid development of AIGC models and applications. | 跟上AIGC模型和应用快速发展的步伐 🚀
https://kinghuin.github.io/AIGC-progress/

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Follow the rapid development of AIGC models and applications. | 跟上AIGC模型和应用快速发展的步伐 🚀

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README

        

# 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。

![image](./img/repository_month_count.png)

## Tag Introduction(Tag介绍):

| Group | Tag | Introduction | 介绍 |
| ---------------- | --------------------- | ------------------------------------------------------------ | ------------------------------------------------------------ |
| Modal 模态 | [🔠](https://kinghuin.github.io/AIGC-progress/?tags=🔠) | Input or Output is Txt | 输入或输出存在文本 |
| | [🖼️](https://kinghuin.github.io/AIGC-progress/?tags=🖼️) | Input or Output is Img | 输入或输出存在图像 |
| | [🎵](https://kinghuin.github.io/AIGC-progress/?tags=🎵) | Input or Output is Voice | 输入或输出存在语音 |
| | [🎥](https://kinghuin.github.io/AIGC-progress/?tags=🎥) | Input or Output is Video | 输入或输出存在视频 |
| | [🧊](https://kinghuin.github.io/AIGC-progress/?tags=🧊) | Input or Output is 3D | 输入或输出存在3D |
| Resource 资源 | [⛽](https://kinghuin.github.io/AIGC-progress/?tags=⛽) | Provide data | 提供了数据 |
| | [🚌](https://kinghuin.github.io/AIGC-progress/?tags=🚌) | Provide general model | 提供了通用模型 |
| | [🚕](https://kinghuin.github.io/AIGC-progress/?tags=🚕) | 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 |
| | [📝](https://kinghuin.github.io/AIGC-progress/?tags=📝) | Provide tutorial or collections | 教程、集锦等 |
| Code 代码 | [1️⃣](https://kinghuin.github.io/AIGC-progress/?tags=1️⃣) | Provide pre-training code | 提供预训练代码 |
| | [2️⃣](https://kinghuin.github.io/AIGC-progress/?tags=2️⃣) | Provide training/fine-tuning code | 提供训练/微调代码 |
| | [3️⃣](https://kinghuin.github.io/AIGC-progress/?tags=3️⃣) | Provide RLHF-like code | 提供人类反馈强化学习相关代码 |
| | [✂️](https://kinghuin.github.io/AIGC-progress/?tags=✂️) | Model compression, such as pruning and quantization. | 提供剪枝、量化等模型压缩代码 |
| | [💡](https://kinghuin.github.io/AIGC-progress/?tags=💡) | Perform inference on mobile, embeded, IoT and other devices. | 提供端侧推理代码 |
| Application 应用 | [🔨](https://kinghuin.github.io/AIGC-progress/?tags=🔨) | 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。 |
| | [🔌](https://kinghuin.github.io/AIGC-progress/?tags=🔌) | Provide model plugin | 提供了相关插件 |
| | [❓ ](https://kinghuin.github.io/AIGC-progress/?tags=❓) | Other uncategorized items | 其它不好分类的 |
| Other 其它 | [💰](https://kinghuin.github.io/AIGC-progress/?tags=💰) | Commercial friendly | 商业友好 |
| | [🀄](https://kinghuin.github.io/AIGC-progress/?tags=🀄) | 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](https://kinghuin.github.io/AIGC-progress/) to filter and sort online. 打开[网站](https://kinghuin.github.io/AIGC-progress/)在线筛选、排序。

Some examples:

- [Commercially Available Chinese Language Model | 可商用中文大模型 ](https://kinghuin.github.io/AIGC-progress/?tags=🔠,🚌,🀄)

- [NLP Fine-Tuning Framework | NLP模型微调框架](https://kinghuin.github.io/AIGC-progress/?tags=🔠,2️⃣)

- [NLP Inference Acceleration | NLP模型推理加速](https://kinghuin.github.io/AIGC-progress/?tags=🔠,✂️,💡)

- [NLP Tools in Python | Python版NLP工具](https://kinghuin.github.io/AIGC-progress/?tags=🔠,🔨,"Python")

2. open [xlsx file](repo.xlsx) to filter or sort the repositories by your own. 打开[xlsx文件](repo.xlsx)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 :)