Ishaan Bhat's repositories
PyTorch-UNet
PyTorch implementation of the UNet model -- https://arxiv.org/abs/1505.04597
GeneralizedProbabilisticUNet
PyTorch model for the Generalized Probabilistic U-Net. For more details see: https://www.melba-journal.org/papers/2023:005.html
PyTorch_ProbUNet
Probabilistic U-Net with MC-Dropout
BayesianML
Assignment code for Bayesian ML course on Coursera
Probabalistic-U-Net
PyTorch implementation of a Probabalistic U-Net (https://arxiv.org/abs/1806.05034)
segmentation_metrics
Function for seg metrics and lesion correspondences
tf.gans-comparison
Measuring how well GANs do at inpainting images.
AdaptiveGridDiscretizations
Adaptive schemes for anisotropic PDEs on cartesian grids
dense3dCrf
Fully-connected (dense) 3D CRF for processing biomedical scans
facenet
Face recognition using Tensorflow
gryds
A Python package for geometric transformations of images for data augmentation in deep learning
kilgore92.github.io
Personal Website
MONAI
AI Toolkit for Healthcare Imaging
MTurkCode
Code used to create MTurk HITs to compare reconstruction abilities of different generative models.
numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Probabilistic-Unet-Pytorch
A Probabilistic U-Net for segmentation of ambiguous images implemented in PyTorch
PyStatCheck
Python package to perform statistical tests on paired data
pytorch-tvmisc
Totally Versatile Miscellanea for Pytorch
scikit-learn
scikit-learn: machine learning in Python
task_driven_data_augmentation
semi-supervised and task driven data augmentation code to improve segmentation performance
tensorflow-mnist-cnn
MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.
TTUR
Two time-scale update rule for training GANs