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saravanabalagi

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Computer Vision | Machine Learning | Artificial Intelligence | Mobile and Web App Design & Development

Funding Links: https://github.com/sponsors/saravanabalagi

GitHub Sponsors Profile

What do I do
I develop apps πŸ’» driven by design, with strong motives to follow best practices and publish with docs and release their source to help the community reuse without re-inventing and re-engineering and to be benefited by the community.
I develop libraries πŸ“‚ like nvm_viewer, graph_to_equation and protonn, that help people create, visualize πŸ‘ and do things better with intuitive user interfaces. I write reusable β™», tested, ready-to-use convenience wrappers and functions like singularity_tensorflow, imshowtools, imaugtools, mask-gpu, sampling_utils that would save plenty of time ⏳ for researchers.
I also develop libraries useful for engineers πŸ›  such as action-cable-react-jwt and forks with added features πŸ’‘ such as react-native-wheel-picker-simple, react-native-scrollable-tabs-hybrid. And some fancy themes and extensions like tampermonkey_markdown_viewer, conky_system_monitor_revitalized and wmctrl. More on my repositories page.
Why sponsor
I do research in computer vision full-time. All my contributions are done in my free time voluntarily. I am very proud that I contribute to the open-source community, the community from which I get benefited as well.
If you think my contributions are valuable, I would be very grateful for your donation. Support and encourage me to develop more apps and keep updated existing apps, extensions and libraries. Sponsorship helps me cover some bills and save time with the dinner tier.
Thank you for taking the time to read this!
Best,
Saravanabalagi.

Featured Works

saravanabalagi/action-cable-react-jwt

Rails action-cable integration with JWT authentication

Language: JavaScript - Stars: 38
saravanabalagi/deep_image_prior

Image Operations without training using deep image prior

Language: Jupyter Notebook - Stars: 20
saravanabalagi/face_id

Detect, recognize and verify faces using hybrid features: β€œdeep” features from VGG-net + HoG + LBP. Hybrid Features help increase recognition significantly

Language: HTML - Stars: 9
saravanabalagi/deep_gtav

A plugin for GTAV that transforms it into a vision-based self-driving car research environment.

Language: C++ - Stars: 2
saravanabalagi/wmctrl

A UNIX/Linux command line tool to interact with an EWMH/NetWM compatible X Window Manager.

Language: C - Stars: 23
saravanabalagi/svelte-mapbox-gl

Language: Svelte - Stars: 13