PracticalAI
Empowering you to use machine learning to get valuable insights from data.
๐ฅ Implement basic ML algorithms and deep neural networks with PyTorch.๐ฅ๏ธ Run everything on the browser without any set up using Google Colab.- ๐ฆ Learn object-oriented ML to code for products, not just tutorials.
Notebooks
Basics | Deep Learning | Advanced | Topics |
---|---|---|---|
๐ธ Computer Vision | |||
๐๏ธ Multilayer Perceptrons | |||
๐ Data & Models | |||
๐ฆ Object-Oriented ML | |||
๐ Logistic Regression | ๐คท Multitask Learning | ||
Running the notebooks
- Access the notebooks in the
notebooks
directory in this repo. - You can run these notebook on Google Colab (recommended) or on your local machine.
- Click on a notebook and replace
https://github.com/
withhttps://colab.research.google.com/github/
in the notebook URL or use this Chrome extension to do it with one click. - Sign into your Google account.
- Click the
COPY TO DRIVE
button on the toolbar. This will open the notebook on a new tab.
- Rename this new notebook by removing the
Copy of
part in the title. - Run the code, make changes, etc. and it's all automatically saved to you personal Google Drive.
Contributing to notebooks
- Make your changes and download the Google colab notebook as an .ipynb file.
- Go to https://github.com/GokuMohandas/practicalAI/tree/master/notebooks
- Click on
Upload files
.
- Upload the .ipynb file.
- Write a detailed commit title and message.
- Name your branch as appropriately.
- Click on
Propose changes
.