https://github.com/alankrantas/colab-python-cookbooks

Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
https://github.com/alankrantas/colab-python-cookbooks

automatic-machine-learning automl codespace colab-notebook colaboratory data-science datascience deep-learning devcontainer jupyter-notebook kaggle kaggle-competition machine-learning neural-network python python3

Last synced: 5 days ago
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Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace

• Host: GitHub
• URL: https://github.com/alankrantas/colab-python-cookbooks
• Owner: alankrantas
• License: mit
• Created: 2021-11-18T03:52:34.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-02T09:03:36.000Z (7 months ago)
• Last Synced: 2024-05-02T20:29:45.338Z (7 months ago)
• Topics: automatic-machine-learning, automl, codespace, colab-notebook, colaboratory, data-science, datascience, deep-learning, devcontainer, jupyter-notebook, kaggle, kaggle-competition, machine-learning, neural-network, python, python3
• Language: Jupyter Notebook
• Homepage:
• Size: 26.2 MB
• Stars: 2
• Watchers: 3
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Python, Data Science & AutoML cookbooks in Google Colaboratory

## AutoML Examples

* [AutoKeras](https://github.com/alankrantas/colab-python-cookbooks/blob/main/automl/colab_autoakeras.ipynb)

* [TPOT](https://github.com/alankrantas/colab-python-cookbooks/blob/main/automl/colab_tpot.ipynb) (Tree-based Pipeline Optimization Tool)

* [FLAML](https://github.com/alankrantas/colab-python-cookbooks/blob/main/automl/colab_flaml.ipynb) (A Fast Library for Automated Machine Learning & Tuning)

* FLAML [time series forecast](https://github.com/alankrantas/colab-python-cookbooks/blob/main/automl/colab_flaml_time_series.ipynb)

> The auto-sklearn example is removed due to incompatibility to Colab runtimes.

## ML Examples

* Draw AI images with [Stable Diffusion](https://github.com/alankrantas/colab-python-cookbooks/blob/main/ml/keras_cv_stable_diffusion.ipynb) model

* [Visualize](https://github.com/alankrantas/colab-python-cookbooks/blob/main/ml/colab_covid_daily_new_cases.ipynb) top 10 Covid-19 daily new cases

* [Visualize](https://github.com/alankrantas/colab-python-cookbooks/blob/main/ml/colab_scikitlearn_charts.ipynb) some scikit-learn ML model classifications

* [Keras](https://github.com/alankrantas/colab-python-cookbooks/blob/main/ml/colab_keras_mnist.ipynb) MNIST Model

* 在 Colab 使用[中文字型繪圖](https://github.com/alankrantas/colab-python-cookbooks/blob/main/ml/colab_matplotlib_chinese.ipynb)的最簡易辦法 (draw Chinese texts in Colaboratory)

## AutoML Experiments on Kaggle Community Competitions

I ran these scripts in local Jupyter Notebook since they usually require much longer training time. For AutoKeras I use a GTX 1660 Ti card as GPU. A screen shot of my leaderboard ranks (as of Feb 14th, 2022) can be found [here](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/score_2022_02_14.png).

* [Titanic](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/titanic_flaml.ipynb) (FLAML)

* [House Prices](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/housing_flaml.ipynb) (FLAML)

* [Digit Recognizer](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/digits_autokeras.ipynb) (AutoKeras)

* [Dogs vs. Cats Redux](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/catdog_autokeras.ipynb) (AutoKeras)

* [Disaster Tweets](https://github.com/alankrantas/colab-python-cookbooks/blob/main/kaggle/disasters_autokeras.ipynb) (AutoKeras)

# Open in DevContainer/Codespace

This repo can be opened in a Python 3.10 DevContainer which supports executing notebooks. You may need to select the Python kernel first.