Pinned Repositories
2018-Data-Science-Bowl
Find the nuclei in divergent images to advance medical discovery
2018-TAGM-paper
2018 TAGM paper
3D-Unet
A simple implementation of 3D-Unet on a 3D Prostate Segmentation Task
3DUnetCNN
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Covid-19
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
DeepHistoClass
Leveraging-uncertainty-information-from-deep-neural-networks-for-disease-detection
Leveraging uncertainty information from deep neural networks for disease detection
MAPIE
A scikit-learn-compatible module for estimating prediction intervals.
posterior-sampling-UQ
posterior sampling (from the paper "deep bayesian inversion") for MRI uncertainty quantification and reconstruction
swa_uncertainties
Code repo for "Fast Uncertainty Estimates and Bayesian Model Averaging of DNNs"
birajaghoshal's Repositories
birajaghoshal/Covid-19
Estimating Uncertainty and Interpretability in Deep Learning for Coronavirus (COVID-19) Detection
birajaghoshal/anomagram
Interactive Visualization to Build, Train and Test an Autoencoder with Tensorflow.js
birajaghoshal/arch_uncert
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
birajaghoshal/BioExp
Explainability of Deep Learning Models
birajaghoshal/cleanlab
Finding label errors in datasets and learning with noisy labels.
birajaghoshal/cost-sensitive-calibration
birajaghoshal/covid-chestxray-dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
birajaghoshal/COVID-CT
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
birajaghoshal/COVID19_Detection_Transfer_Learning_VGG16
Detecting COVID-19 induced Pneumonia from Chest X-rays with Transfer Learning
birajaghoshal/cs228-notes
Course notes for CS228: Probabilistic Graphical Models.
birajaghoshal/Estimating-Uncertainty-in-Deep-Learning-for-ReportingConfidence-to-Clinicians
Estimating Uncertainty in Deep Learning for Reporting Confidence to Clinicians in Medical Image Segmentation and Diseases Detection
birajaghoshal/flynet
A Hybrid Net for Visual Place Recognition https://doi.org/10.1109/LRA.2020.2967324
birajaghoshal/Kaggle-Solutions
Sample notebooks for Kaggle competitions
birajaghoshal/keras-uncertainty
Utilities to perform Uncertainty Quantification on Keras Models
birajaghoshal/kwyk
Knowing what you know - Bayesian brain parcellation
birajaghoshal/lcvi
Variational Bayesian decision-making for continuous utilities
birajaghoshal/MedUncertainty
Uncertainty in Medical Image Analysis
birajaghoshal/neural-backed-decision-trees
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
birajaghoshal/ooo-Bayesian-Introduction
birajaghoshal/PanSeer-CancerSeek
birajaghoshal/poison-mushrooms
A cost-sensitive neural network analysis for detecting edible vs poisonous mushrooms.
birajaghoshal/pycalib
Non-Parametric Calibration for Classification
birajaghoshal/SingleModelUncertainty
Learning error bars for neural network predictions
birajaghoshal/skin_lesion_uncertainty_estimation
Code and models for our paper "Risk-Aware Machine Learning Classifier for Skin Lesion Diagnosis"
birajaghoshal/slideslicer
a toolbox for manipulation of digital pathology slides and annotations
birajaghoshal/Survival-Analysis-using-Deep-Learning
This repository contains morden baysian statistics and deep learning based research articles , software for survival analysis
birajaghoshal/synthetic_mnist_uncertainty
birajaghoshal/tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.0
birajaghoshal/tRCC-ccRCC-classification
birajaghoshal/uncertainpy
Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.