There are no reviews yet. Be the first to send feedback to the community and the maintainers!
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.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.PanCancer_ISDs
This repository contains code and data to reproduce the results of our work on pancancer survival prediction from whole transcriptome data.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!Love Open Source and this site? Check out how you can help us