birajaghoshal Goto Github PK

targeted-dropout

td-multiomics

Tensor decomposition based unsupervised feature extraction was applied to multiomics data which was used for performance evaluation of DAIBLO algorithm implemented in mixOmics package

temperature_scaling

A simple way to calibrate your neural network.

tencent-ml-images

Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

texture_analysis

Texture Analysis test tool for PET images

tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.0

tfm

Master thesis: use of convolutional neural networks in the classification of colorectal cancer histology images

thesis

This repository containts all code for my master thesis where the task is to perform semantic segmentation of colorectal polyps using Fully Convolutional Networks.

thoraxdiseaseclassification

A multi-label-classification model for common thorax disease.

timely-beliefs

Model data as beliefs (at a certain time) about events (at a certain time).

trcc-ccrcc-classification

trustscore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

ttaug-dr-uncertainty

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Diabetic Retinopathy (DR) Detection via Deep Neural Networks

ttaug-midl2018

Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks, MIDL 2018

tumor-capsnet

Reproduce results from "Brain Tumor Type Classification via Capsule Networks" (Afshar et al.) for a final project in a Deep Learning class at Cal Poly San Luis Obispo.

tybalt

Training and evaluating a variational autoencoder for pan-cancer gene expression data

u-net-brain-tumor

U-Net Brain Tumor Segmentation in TensorFlow

ua

ub_segmentation

Code for automatic urinary bladder segmentation using Python and Tensorflow.

ucate

Uncertainty in Conditional Average Treatment Effect Estimation

ufldl_tutorial

Stanford Unsupervised Feature Learning and Deep Learning Tutorial

ukbb_cardiac

Some code for processing and analysing UK Biobank cardiac MR images.

uncertainpy

Uncertainpy: a Python toolbox for uncertainty quantification and sensitivity analysis, tailored towards computational neuroscience.

uncertainties

AM207 project: dissect aleatoric and epistemic uncertainty

uncertainties-1

uncertainties in deep neural networks

uncertainty

Repository accompanying the paper "Uncertainty estimation for deep learning-based automated analysis of 12-lead electrocardiograms", accepted in European Heart Journal Digital Health.

uncertainty-adversarial-paper

Code for the paper 'Understanding Measures of Uncertainty for Adversarial Example Detection'

uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

uncertainty-bmt

Code for uncertainty estimation in computer-aided diagnosis for BMT 2019 submission.

uncertainty-dl-material-discovery