Deeperama is an open-source platform for machine learning and deep learning experiments. It is based on Django for web visualization. By default, it supports Keras and Tensorflow open-source packages, however, you can install and run any python package that is needed in your project.
The main idea behind this project is to provide an easy-to-use machine learning and deep learning experience. As a web-based framework, it provides easy integration to databases and plots. Everything is customizable, including plots, databases, tables and scripts.
The internet provides thousands of pages with tutorials, videos, blogs and lectures about machine learning and deep learning related topics. It is impossible to learn everything from just one place. At the same time, you will not find all the code examples related to your problem in few places (maybe stackoverflow will be the most often website visited by you).
Now, when you run your code in Python, your project requires a good tracking of your results. You could create a database to store some main results. You can have your jupiter notebook to produce plots and, in a more simple case, save them one by one.
Now, what if a single easy-to-use platform provides everything you need at once? The main purpose of Deeperama is to create an web-based environment where you can run everything from a web localhost application and take care of what really matters. Everything is local, you don't need to create any account and it is free!
Deeperama is still in a development process. The release of a beta version is set to January 31, 2020. We will start our activities very soon by posting snapshots and tutorials. A email for contact will also be provided.
Any questions? contact us: firstname.lastname@example.org