Code companion for autonomous-stack.hashnode.dev
Deep Learning · Computer Vision · Robotics · ROS2 · VLA / VLM
Every post in this repo has a self-contained folder with a runnable Jupyter notebook,
a requirements.txt, and a README.md linking back to the post.
| # | Topic | Notebook | Post |
|---|---|---|---|
| 01 | Regularization in Deep Learning | notebook | hashnode |
| 02 | Visual Odometry Methods | notebook | hashnode |
autonomous-stack-blog/
├── README.md
├── 01_regularization/
│ ├── README.md
│ ├── requirements.txt
│ └── regularization_techniques.ipynb
├── 02_visual_odometry/ ← coming soon
└── 03_object_tracking/ ← coming soon
Each folder has its own requirements.txt. To run any notebook:
cd 0X_topic/
pip install -r requirements.txt
jupyter notebookWritten by Jacob Yaacubov — autonomous systems engineer and MSc ML researcher.
Working on drone perception, computer vision, VIO, ROS2, and VLA models.
- Blog: autonomous-stack.hashnode.dev
- GitHub: github.com/Jacob170
- LinkedIn: linkedin.com/in/jacobyaacubov