NimbleBox.ai is a full-stack MLOps platform designed to help data scientists and machine learning practitioners around the world discover, create, and launch multi-cloud apps from their web browser.
This is the documentation for the NimbleBox.ai platform and the nbox package. If you are looking to reach out to Support, please reach out to us via Intercom on the bottom-right corner.
Individual developers can sign up here for NimbleBox.ai
This documentation will help you understand how things work, in case you need a starting point, or get stuck.
What you get with NimbleBox.ai?
As a programmer 🧑💻, you can perform the following using NimbleBox
Write and execute code in Python
Document your code that supports mathematical equations
Create/Upload/Share notebooks
Import notebooks from your local machine
Import/Publish notebooks from/to GitHub
Import external datasets (e.g. from Kaggle)
Integrate PyTorch, TensorFlow, Keras, OpenCV
Share your projects
Collaborate with your team
🧑💻 I want to start developing
The best way to discover NimbleBox.ai is to try it out. Play around with the platform to get acquainted with it.
Explore the following resources to get started with NimbleBox.ai:
Quick Start helps you get started with your project on the NimbleBox.ai platform.
Core Concepts explains all the fundamental concepts of the NimbleBox.ai platform.
Instance contains detailed description on all components inside your machine, hosted by us.