birajaghoshal Goto Github PK

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".

groupnormalization-keras

keras implementation of group normalization. https://arxiv.org/abs/1803.08494

h-ai-l

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

handong1587.github.io

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

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

heartbeatsoundsclassification

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

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

human-protein-atlas-image-classification

Human Protein Atlas Image Classification - kaggle

human-protein-atlas-image-classification-1

human-protein-atlas-image-classification-2

icml2019.submission

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

idc_breast_cancer

Classification of IDC in breast cancer histology images

ilocator_cancer_protein

This is a ML project. Implemented iLocator model.

image-classification-with-cnn-rf

Merging Convolutional Neural Network and Random Forest

imagetagginganddenseannotation

ObjectIdentification&DenseAnnotation

imploc

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

inf-net

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

inhibited-softmax

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

integrated-gradients

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

intel-examples

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

isbi2018_petct_segmentation

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

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

kaggle-protein-classification

Human Protein Atlas Image Classification - Classify subcellular protein patterns in human cells

kaggle-solutions

Sample notebooks for Kaggle competitions

kaggle_diabetic_retinopathy

Fifth place solution of the Kaggle Diabetic Retinopathy competition.

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

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