We believe that the optimal method for learning AI/Deep Learning/Machine learning and Data Science is to provide access to reproducible codes on Jupyter. With Notebook, you have the ability to explore millions of notebooks on Github/Kaggle and beyond.
- Are you wondering how to implement new state-of-the-art papers?
- Would you like to know how to excel in a Data Science competition?
- Are you looking to start learning Deep Learning and Machine Learning?
With Notebook, you can explore, search, and conveniently store your favorite notebooks offline for reading and learning anytime, anywhere.
Thanks to your feedback, we have introduced a new ad-free subscription version available on a monthly/yearly basis.
Features:
- Open notebooks with colab from Github.
- Discover the top Jupyter notebook repositories.
- Easily search repositories and users.
- Import your notebooks from the cloud.
- View and bookmark your most valuable notebooks.
- Offline view mode.
- Beautiful rendering of mathematics in notebooks.
Ad-free subscription:
- Length of subscription: monthly/yearly.
- Payment will be charged to your iTunes Account upon confirmation of purchase.
- Subscription automatically renews unless auto-renew is turned off at least 24 hours before the end of the current period.
- Your Account will be charged for renewal within 24 hours prior to the end of the current period, and the cost of the renewal will be identified.
- Subscriptions can be managed by the user, and auto-renewal can be turned off by going to the user's Account Settings after purchase.
Enjoy exploring notebooks and happy modeling!
Contact us: saigonapps@gmail.com
Terms of Service and Privacy Policy: http://appsaigon.com/privacy.html
Overview
Notebook Master for Jupyter is a Freeware software in the category Education developed by My Pham.
The latest version of Notebook Master for Jupyter is 2.0, released on 01/05/2024. It was initially added to our database on 01/05/2024.
Notebook Master for Jupyter runs on the following operating systems: iOS.
Users of Notebook Master for Jupyter gave it a rating of 4 out of 5 stars.
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