Mission 🚀

To showcase 100 Wave applications on various data science and machine learning workstreams for beginners, intermediates as well as experts.

H2O Wave

H2O Wave is a product for building browser-based, realtime and interactive applications entirely using Python.

It empowers Data Scientists to quickly spin up beautiful dashboards as well as full-fledged web applications for demonstrating data science workflows.

Applications 🖥️

There are a total of 100 Wave applications broadly divided into 10 sets, with 10 applications each. It is subject to periodic updates and changes.

✅ Structured as templates & tutorials - Choose your style
✅ Suitable for beginners, intermediates & experts - Choose your level

It is recommended to go through the sets in order for best experience, but you may explore them in any order depending on your expertise.

Set 01 • Skeleton Apps

App	Level	Title	Description	Demo
1	Beginner	Hello Wave	Hello World example
2	Beginner	Basic Template	Building blocks to kickstart an app
3	Beginner	Theme Switch	Switch between light and dark modes
4	Beginner	CSV Loader	Load a csv file into a table
5	Intermediate	Table Showcase	Various features of the table component

Set 02 • Data Apps

App	Level	Title	Description	Demo
1	Beginner	Datatable Playground	Explore Python Datatable with tabular datasets
2	Intermediate	NER Annotation	Annotate entities for Named-Entity Recognition tasks
3	Intermediate	Image Annotation	Annotate images for computer vision tasks

Set 03 • Analysis Apps

Set 04 • Visualization Apps

Applications for vizualizing different forms of data.

App	Level	Title	Description	Demo
1	Expert	Image Augmentation	Visualize image augmentations

Set 05 • Modeling Apps

Set 06 • Kaggle Apps

Set 07 • Industry Apps

Set 08 • Deep Learning Apps

App	Level	Title	Description	Demo
1	Expert	Automatic Speech Recognition	Speech to text in English using Wav2Vec model
2	Expert	Whisper	Speech to text using OpenAI's Whisper model

Set 09 • Doppelganger Apps

Set 10 • GPU Apps

App	Level	Title	Description	Demo
1	Intermediate	Stable Diffusion	Generate images from prompts using Stable Diffusion model

P.S. Every application can be run independently

Contribution 🛠️

Please create an Issue for any improvements, suggestions or errors in the content.

You can also tag @vopani on Twitter for any other queries or feedback.

Credits 🙏

H2O Wave

• Project
• Documentation

License 📋

This project is licensed under the Apache License 2.0.