GitHub - GokuMohandas/practicalAI: A practical approach to learning machine lear...
source link: https://github.com/GokuMohandas/practicalAI
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README.md
PracticalAI
Empowering you to use machine learning to get valuable insights from data.
- ? Implement basic ML algorithms and deep neural networks with PyTorch.
- ?️ Run everything on the browser without any set up using Google Colab.
- ? Learn object-oriented ML to code for products, not just tutorials.
Notebooks
Basics Deep Learning Advanced Topics ?Notebooks ?PyTorch ?Advanced RNNs ?Computer Vision ?Python ?️Multilayer Perceptrons ?️ Highway and Residual Networks ⏰ Time Series Analysis ?NumPy ?Data & Models ? Autoencoders ?️ Topic Modeling ?Pandas ?Object-Oriented ML ? Generative Adversarial Networks ? Recommendation Systems ?Linear Regression ?️Convolutional Neural Networks ? Spatial Transformer Networks ?️ Pretrained Language Modeling ?Logistic Regression ?Embeddings
? Multitask Learning ?Random Forests ?Recurrent Neural Networks
? Low Shot Learning ? KMeans Clustering
? Reinforcement 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
.
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