By Rene Wang
This repository contains various machine learning projects, each focusing on fundamental concepts within different subfields of machine learning. The projects are framework-agnostic and are available for free, with no ads.
Upon completing all the projects, you'll gain a solid foundation in machine learning, making it easier to dive into research papers.
| Model | What you'll learn | Get Start |
|---|---|---|
| Hand-written digits detection | DL, Neural Network, GA |  |
| SMS Filter & Text Generation | NLP, Neural Network | |
| Obstacle Avoidance | APF, RL | |
| 🚧 Pixel_Sprite_Generation | ControlNet, Stable Diffusion, RNN | |
| Drone Dogfight | RDL | Run Locally |
This repo is not a beginner guide. Make sure you meet these requirements:
- A Google account (to run the notebooks in Google Colab)
- Basic Python programming experience
- A foundational understanding of advanced mathematics
- Basic proficiency in English reading
The code requires python>=3.8. PyTorch or other framework are not needed.
py -m venv Env
./Env/Scripts/activate
pip install -r requirements.txt
# or
py -m pip install -r requirements.txtThe repo is licensed under the Apache 2.0 license.
See contributing and the code of conduct.