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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Artificial Intelligence Learning Notes.
| Date | Stars |
|---|---|
| 2026-07-24 | 276 |
| 2026-07-25 | 276 |
| 2026-07-28 | 276 |
| 2026-07-30 | 276 |
| 2026-08-06 | 276 |
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<h1 align="left">aiLearnNotes</h1>
<p align="center">
<img alt="GitHub stars" src="https://img.shields.io/github/stars/Jackpopc/aiLearnNotes?style=social">
<img alt="GitHub watchers" src="https://img.shields.io/github/watchers/Jackpopc/aiLearnNotes?style=social">
<img alt="GitHub forks" src="https://img.shields.io/github/forks/Jackpopc/aiLearnNotes?style=social">
</p>
人工智能相关领域知识学习笔记，理论与实践相结合，利用Python语言逐步实现计算机视觉、机器学习、强化学习、优化算法等方向内容，目前正在进行[《动手学计算机视觉》](https://jackpopc.github.io/)系列的更新，后续会逐渐加入《动手学机器学习》《动手学强化学习》《动手学优化算法》系列。
<p align="left">
<img src=https://img.shields.io/badge/python-3.6-blue.svg>
<img src=https://img.shields.io/badge/vision-v0.1.0-green.svg>
<img src=https://img.shields.io/badge/tensorflow-1.7.0-orange.svg>
</p>
<h1 align="left">Contents</h1>
aiLearnNotes每一讲有对应的<b>文档</b>和<b>代码</b>，内容涉及计算机视觉、机器学习、强化学习、优化算法等。
## Code
aiLearnNotes代码链接如下，
- [计算机视觉](./computer_vision)
- [机器学习](./machine_leaning)
- [强化学习](./reinforcement_learning)
- [优化算法](./optimization_algorithm)
## Docs
代码可以点击上面条目直接访问，文档放在docs目录下，可以点击下面目录访问，
- [计算机视觉](./docs/cv/0-Contents.md)
<h1 align="left">Usage</h1>
首先按照依赖环境，
```shell
$ pip install -r requirements.txt
```
然后进入不同目录下直接执行对应的程序即可，例如，
```shell
$ cd computer_vision
$ python HOG.py
```
<h1 align="left">Support</h1>
如果觉得本项目有帮助，可以关注公众号平凡而诗意或者知乎Jackpop，也可以收藏我的个人主页。
> 知乎：[Jackpop](https://www.zhihu.com/people/sharetechlee/activities)
>
> 主页：[平凡而诗意](https://jackpopc.github.io/)
>
> 专栏：[Lee先森的技术站](https://zhuanlan.zhihu.com/sharetechlee)Excerpt of 1,522 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:8ad8593b9d0fa921, topic:computer-vision, topic:image-segmentation, readme:computer vision
matched fp:8ad8593b9d0fa921, topic:deep-learning, topic:tensorflow
matched fp:8ad8593b9d0fa921, topic:reinforcement-learning, readme:reinforcement learning