`Greetings, Welcome to my profile`

My name is Saaketh Koundinya and I am passionate about computer vision, deep learning, competetive programming and problem solving. I am currently working as a part-time researcher in Computer Vision and also as a full-time full-stack developer at SAP Labs, India.

Most of my work with SAP Labs is available at https://github.wdf.sap.corp/i516344.

Computer Vision focus areas

Fine-grained image classification
Object recognition/Tracking
Action recognition

Full-stack Development

Clinical trials management product development.
Commodity trading and pricing algorithms for oil and natural gas companies.
UI for tracking and distribution for b2b companies.

Open source contributions not involving SAP Labs available at https://github.com/tommarvoloriddle.

Technozion

Saaketh Koundinya/tommarvoloriddle

Tool	Purpose

I'm Learning

Saaketh's Projects

awesome-kan

A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.

bootstrap

The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

coursera---convolutional-neural-networks-deeplearning.ai-

Assignments of Coursera's - Convolutional Neural Networks (deeplearning.ai) course by Andrew NG

cs-video-courses

List of Computer Science courses with video lectures.

deeplearning

Deep Learning Demos

githubgraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

grocery-store-dataset

Config files for my GitHub profile.

grounded-segment-anything

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything