Sivaramakrishnan Rajaraman's repositories
keras-unet
Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
covid19_ultrasound
Open source lung ultrasound (LUS) data collection initiative for COVID-19.
Boosting_multi-label_semantic_segmentation
A boosting framework, consisting of a DCNN for multi-label semantic segmentation with a customized logarithmic-Dice loss function, a fusion module combining the original labels and the corresponding predictions from the DCNN, and a boosting algorithm to sequentially update the sample weights during network training iterations, is proposed to systematically improve the quality of the annotated data, resulting in eventually the performance improvement of the segmentation tasks
sharp-unet-experiments
Main project repo https://github.com/hasibzunair/sharp-unets
fast_dist_shapley
Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)
portfolio
portfolio
multitask-image-classification-keras-example
An example/toy model demonstrating multitask (multi-head) classification of images using keras
covid-19-screening-using-RAN-on-X-ray-images
covid-19 screening using Residual Attention Network on X-ray images
super-resolution
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
segmentation_models
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
SimCLRv1-keras-tensorflow
Tensorflow-Keras implementation of SimCLR: Simple Framework for Contrastive Learning of Visual Representations by Chen et al. (2020)
Keras-Image-Super-Resolution
EDSR, RCAN, SRGAN, SRFEAT, ESRGAN
SegGradCAM
SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping
unet_segmentation_metrics
Metrics for determining segmentation accuracy
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
chestXray-PGGAN
High Resolution Chest X-ray Image Synthesis Using Progressive-Growing Generative Adversarial Networks
Python
This repository helps you understand python from the scratch.
tensorflow-101
TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow
Detection-and-visualization-of-abnormality-in-chest-radiographs-using-modality-specific-CNNs
Detection and visualization of abnormality in chest radiographs using modality-specific convolutional neural network ensembles
cutout-random-erasing
Cutout / Random Erasing implementation, especially for ImageDataGenerator in Keras
keras-yolo3
Training and Detecting Objects with YOLO3
Inf-Net
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.