Notebook Master for Jupyter 4+

ds ai ml deep learning

My Pham

Designed for iPad

    • Free
    • Offers In-App Purchases

Screenshots

Description

We believe the best way to learn AI/Deep Learning/Machine learning and Data Science is to enable them to access the reproducible codes on Jupyter.
Notebook lets you explore million notebooks on Github/Kaggle and more.

* Wonder how to implement new state of the art papers?
* How to win a Data Science competition
* How to start learning Deep Learning and Machine Learning.

You can explore, search, store offline to read and learn your favorite notebooks any time, everywhere, on the go.

Thanks to your feedback, we add new ad free subscription version by month/year.

** Functions **

- Open with colab from github
- Explore top Jupyter notebook repositories
- Search the repositories, users
- Import your notebooks from cloud
- View and bookmark your most valuable notebooks.
- Offline view mode
- Beautiful rendering maths in notebook.

** Ad free subscription **

• Length of subscription: monthly/yearly
• Payment will be charged to iTunes Account at confirmation of purchase
• Subscription automatically renews unless auto-renew is turned off at least 24-hours before the end of the current period
• Account will be charged for renewal within 24-hours prior to the end of the current period, and identify the cost of the renewal
• Subscriptions may be managed by the user and auto-renewal may be turned off by going to the user’s Account Settings after purchase

Enjoy notebooks and happy modeling.
Contact us: saigonapps@gmail.com
Term of Service and Privacy policy: http://appsaigon.com/privacy.html

What’s New

Version 2.2

- Fix bookmark kaggle files.

App Privacy

The developer, My Pham, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy.

Data Not Linked to You

The following data may be collected but it is not linked to your identity:

  • Usage Data

Privacy practices may vary based on, for example, the features you use or your age. Learn More

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