A space for my OpenGL projects. It starts with basic 2-d projects, such as the Sierpinski triangle, or building a convex hull around points using Graham’s scan algorithm, all the way up to implementing elastic sphere collisions in 3-d space.
Using CNNs to classify a retinal fundus image into normal or glaucomatous, using transfer learning.
A Reddit bot which gives COVID-19 stats of a specific region to Redditors based on their post title.
Semester 6: NAM Project. A recommender system using link prediction algorithms.
A space for my Blender models.
Image editing command-line with implementations of greyscale, Gaussian blurring, masking based on colour range (HSV), etc. from scratch using OpenCV, NumPy, Pillow and Matplotlib.
A multiplayer simulation of “Connect Four” by Hasbro using Python 3 socket programming.
PESU I/O: Simulates basic quantum gates such as the Hadamard gate or the Pauli-X gate on a system of two qubits.
Published in International Conference on Inventive Computing and Informatics, 2024
This research work proposes varying the CFG scale values across the inference steps by making use of various scheduling functions, which not only results in better images but also unlocks the full potential of the rich latent space representation of diffusion models by allowing for the sampling of various different images from the same initial conditions by only varying the CFG scale and keeping all other parameters constant.
Recommended citation: V. S., A., Kulkarni, A., Chawla, D., Rawther, A., & Rangareddy, J. (2024). Diffusion Inference with Dynamic Classifier-free Guidance. In International Conference on Inventive Computing and Informatics (2nd ed., pp. 53–59). IEEE. https://doi.org/10.1109/icici62254.2024.00018
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This is a 3-part series on Reddit bot development. Read the articles here:
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Many people, especially those new to the field, often show great interest in the field of machine learning, but shy away from the mathematics that govern it. I hope to demystify it for you by explaining, in simple terms, the math behind machine learning.
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This year, when a community on Reddit famously manipulated GameStop shares, I was happier than I’d ever been to see a fresh form of volatility in the markets. For those of you who are somehow oblivious to this incident, this article is for you. And those of you who’d like a deeper analysis into this incident, although you’ve heard of it, this article is for you too.
Object Oriented Analysis and Design with Java, Department of Computer Science, PES University, 2024
During my 8th undergraduate semester, I served as a teaching assistant under Prof. Priya Badrinath, for 180+ students. My GitHub repository contains assignments and files I created during my stint as an undergraduate TA for the 6th-semester course Object-Oriented Analysis and Design with Java (UE21CS352B).