neerajkumarvaid/PanCancer_ISDs

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neerajkumarvaid/PanCancer_ISDs

neerajkumarvaid

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This repository contains code and data to reproduce the results of our work on pancancer survival prediction from whole transcriptome data.

Nuclei_Segmentation

This is the source code for training and testing our three class CNN algorithm for generalized nuclei segmentation (IEEE TMI paper) using Torch.

Data-Science-From-Scratch-Python

This repository contains my implementation of the algorithms described in the book "Data Science From Scratch" by Joel Grus. Please scroll down for description of each file.

Jupyter Notebook

CNN-W-SR

Convolutional neural networks for wavelet domain super resolution (implementation of our PR letters paper).

Tumor-Segmentation

This repository contains an implementation of a deep learning algorithm for tumor segmentation from Whole Slide Images of tissue sections.

Blogpost-Codes

This repository contains codes for my blogposts focused on machine learning, statistics and data analysis. You can check my work at Medium (https://medium.com/@neeraj.kumar.iitg).

Algorithms-and-Data-Structures

This repository contains my implementation of the algorithms discussed in 6.006 CS course of MIT OCW.

Jupyter Notebook

Prostate-Recurrence-Prediction

Code for convolutional neural network based prostate cancer recurrence prediction (implementation of our SPIE Medical Imaging paper). This algorithm uses CNNs in a regression framework for segmenting nuclei from H&E stained tissue images using a distance transform based approach.

ML_DL_RL_Codes

Implementation of Machine Learning, Deep Learning, Reinforcement Learning, Statistics, and Optimization algorithms in Python. I have organized the codes in respective sub-folders. Ongoing work!

Jupyter Notebook