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1. Data-Science-From-Scratch-Python Data-Science-From-Scratch-Python Public

   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 9 7

2. ML_DL_RL_Codes ML_DL_RL_Codes Public

   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 1

3. Nuclei_Segmentation Nuclei_Segmentation Public

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

   Lua 53 21

4. CNN-W-SR CNN-W-SR Public

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

   MATLAB 7 3

5. Tumor-Segmentation Tumor-Segmentation Public

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

   Python 3 3

6. Git_and_GitHub_Introduction Git_and_GitHub_Introduction Public

   This repository contains the material we prepared for a short hands-on course for introducing Git and GitHub to the participants.

   2