Top AI Repos — open-source AI, indexed and scored
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.
🙄 Difficult algorithm, Simple code.
| Date | Stars |
|---|---|
| 2026-07-24 | 1701 |
| 2026-07-25 | 1701 |
| 2026-07-28 | 1701 |
| 2026-07-30 | 1701 |
| 2026-08-06 | 1701 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<h2 align="center"><code>🎉TensorFlow2.0-Examples🎉!</code></h2>
<p align="center">"<i>Talk is cheap, show me the code.</i>"
----- Linus Torvalds</p>
<p align="center">
<a href="https://github.com/YunYang1994/TensorFlow2.0-Examples/tree/master">
<img src="https://img.shields.io/badge/Branch-master-green.svg?longCache=true"
alt="Branch">
</a>
<a href="https://github.com/YunYang1994/TensorFlow2.0-Examples/stargazers">
<img src="https://img.shields.io/github/stars/YunYang1994/TensorFlow2.0-Examples.svg?label=Stars&style=social"
alt="Stars">
</a>
<a href="https://github.com/YunYang1994/TensorFlow2.0-Examples/network/members">
<img src="https://img.shields.io/github/forks/YunYang1994/TensorFlow2.0-Examples.svg?label=Forks&style=social"
alt="Forks">
</a>
</a>
<a href="https://github.com/sindresorhus/awesome">
<img src="https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg"
alt="Awesome">
</a>
</a>
<a href="https://github.com/YunYang1994/TensorFlow2.0-Examples/blob/master/LICENSE">
<img src="https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000"
alt="Awesome">
</p>
<div align="center">
<sub>Created by
<a href="https://github.com/YunYang1994">YunYang1994</a>
</div>
<br>
This tutorial was designed for easily diving into TensorFlow2.0. it includes both notebooks and source codes with explanation. **It will be continuously updated !** 🐍🐍🐍🐍🐍🐍
## Contents
#### 1 - Introduction
- **Hello World** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/helloworld.ipynb)) ([code](1-Introduction/helloworld.py)). Very simple example to learn how to print "hello world" using TensorFlow.
- **Variable** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/variable.ipynb)) ([code](1-Introduction/variable.py)). Learn to use variable in tensorflow.
- **Basical operation** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/basic_operations.ipynb)) ([code](1-Introduction/basic_operations.py)). A simple example that covers TensorFlow basic operations.
- **Activation** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/activation.ipynb)) ([code](1-Introduction/activation.py)). Start to know some activation functions in tensorflow.
- **GradientTape** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/1-Introduction/GradientTape.ipynb)) ([code](1-Introduction/GradientTape.py)). Introduce a key technique for automatic differentiation
#### 2 - Basical Models
- **Linear Regression** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/2-Basical_Models/Linear_Regression.ipynb)) ([code](2-Basical_Models/Linear_Regression.py)). Implement a Linear Regression with TensorFlow.
- **Logistic Regression** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/2-Basical_Models/Logistic_Regression.ipynb)) ([code](2-Basical_Models/Logistic_Regression.py)). Implement a Logistic Regression with TensorFlow.
- **Multilayer Perceptron Layer** ([notebook](https://nbviewer.jupyter.org/github/YunYang1994/tensorflow2.0-examples/blob/master/2-Basical_Models/Multilayer_Perceptron.ipynb)) ([code](2-Basical_Models/Multilayer_Perceptron.py)). Implement Multi-Layer Perceptron Model with TensorFlow.
- **CNN** ([notebook](https://tensorflow.google.cn/tutorials/quickstart/advanced)) ([code](2-Basical_Models/CNN.py)). Implement CNN Model with TensorFlow.
#### 3 - Neural Network Architecture
- **VGG16** ([notebook](https://github.com/YunYang1994/TensorFlow2.0-Examples/tree/master/3-Neural_Network_Architecture)) ([code](https://github.com/YunYang1994/TensorFlow2.0-Examples/tree/mExcerpt of 9,817 characters
Read on GitHub
200
TechGuy · United States
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7c08805b63b75c38, topic:deep-learning, topic:tensorflow, readme:automatic differentiation
matched fp:7c08805b63b75c38, topic:object-detection, topic:image-classification
matched fp:7c08805b63b75c38, topic:gan
matched fp:7c08805b63b75c38, topic:reinforcement-learning