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followers: 6.0 following: 5.0 repos: 11.0 gists: 0.0

Name: Zillella Pramod Reddy

Type: User

Company: University of Southern California

Bio: 🌱 Machine Learning, Deep Learning & Computer Vision Enthusiast

Location: California

Hi there 👋!!!

I am Zillella Pramod, Currently, I'm deepening my knowledge through a Master's degree in Machine Learning and Data Science at the University of Southern California and Graduated as an Electronics Engineer from NIT Bhopal in 2021. I am highly interested 👀 in building algorithms which are robust and reduce the processing complexity and time for Medical Image Analysis Applications 🔭. The thought process of solving real-life problems and working with neural networks keeps me up‌ ‌at‌ ‌night. It is my passion to solve real life computer vision problems through the implementation and improvement of state-of-the-art‌ ‌deep‌ ‌learning‌ ‌models.

I appreciate any help/improvements you can give to my pinned repositories and do consider giving my repositories a ⭐️ if you like them.

Zillella Pramod Reddy's Projects

brain-tumor-segmentation

Fully automatic brain tumor segmentation using the Modified 3DUNet architecture for Brats 2020 Challenge.

decoding-spatial-position-from-hippocampal-place-cells

detection-of-text-written-in-air

Recognition of single digits written in air using a deep learning-based convolutional neural network (CNN) approach.

fmml2021

Config files for my GitHub profile.

fouriertransforms

This replicates the Fourier Transforms video by 3Blue1Brown, by wrapping input signals in a circular fashion and capturing pure signal frequencies through visuals.

m0nica

All about Monica

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

pipelined-tumor-segmentation

A complete pipelined automatic process for skull stripping and tumor segmentation from Brain MRI using Thresholding.

pramod04121999

skin-lesion-seg-hair-removal-kmeans

skin-lesion-segmentation

Fully automatic skin lesion segmentation using the Berkeley wavelet transform and UNet algorithm.

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