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birajaghoshal's Projects

graphicalmethods icon graphicalmethods

My Machine Learning project on applying Graphical Methods (Bayesian Networks mostly ) to the Wisconsin Breast Cancer dataset . Done for the Warwick university module "Mathematical Modelling in Biology and Medicine".

h-ai-l icon h-ai-l

A human in the loop solution to machine learning for pathologists (easy semantic segmentation of WSI)

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

head_neck_cancer icon head_neck_cancer

This repository contains the code of classifying the type of head and neck cancer using neural networks.

heartmri_ml icon heartmri_ml

Machine learning pipeline for attempting to automatically determine cardiac dysfunction from MRI image data alone, including a convolutional neural network, a stacked autoencoder and an active contour model - Working but in need of clean up

hpasubc icon hpasubc

HPASubC: a suite of tools for user sub-classification of tissue images from the Human Protein Atlas

icml2019.submission icon icml2019.submission

I will upload here the code for ICML2019 submission. This repository is entirely anonymized.

imploc icon imploc

A deep learning model for protein subcellular localization based on immunohistochemistry images

inf-net icon inf-net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

inhibited-softmax icon inhibited-softmax

Repository with code for paper "Inhibited Softmax for Uncertainty Estimation in Neural Networks"

integrated-gradients icon integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

intel-examples icon intel-examples

Get started with the Internet of Things & Artificial Intelligence using Intel® technologies and the iotJumpWay.

jvhw_entropy_estimators icon jvhw_entropy_estimators

MATLAB and Python 2.7/3 Implementations of the JVHW entropy and mutual information estimators in Jiao, Jiantao, Kartik Venkat, Yanjun Han, and Tsachy Weissman. "Minimax estimation of functionals of discrete distributions." IEEE Transactions on Information Theory 61, no. 5 (2015): 2835-2885.

kaggle-hpa icon kaggle-hpa

Code for 3rd place solution in Kaggle Human Protein Atlas Image Classification Challenge.

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kdsb17 icon kdsb17

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

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