varunmannam Goto Github PK

application-specific-super-resolution

This repository includes the code used for the super-resolution of microscopy images training using the small data

biophotonics_congress_conference_2020_code-1

btech_project

This includes Btech project final thesis and presentation here

era

Meta Package for ERA

fall17_amwc

PDF reports for the Fall17 active microwave circuits labs.

flim_denoising_using_pretrained_cnns

image_denoising

This is the github location for image denoising ImageJ tool and its source codee

instant-image-denoising

License & Copyright © 2019 Varun Mannam, University of Notre Dame Licensed under the GPL.

mtech_project

This includes Mtech project final thesis and presentation here

noise2noise

Noise2Noise: Learning Image Restoration without Clean Data - Official TensorFlow implementation of the ICML 2018 paper

papers_with_code

This is the repository that enables the machine learning code used in the submitted papers.

quick-portfolio

Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.

spie-cnn-flim-denoising

This folder contains all the results used in the SPIE CNN based FLIM denoising paper.

spie-cnn-sr

This folder provides the code used for the deep-learning based super-resolution on fluorescence microscopy images using the small datasets

vae_spring19

This is project executed as the class project in Spring 19. (Performance Analysis of Semi-supervised Learning in the Small-data Regime using VAEs)

varun_mannam_website_v01