sivaramakrishnan-rajaraman Goto Github PK

2020-cbms-doubleu-net

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras (Nominated for Best Paper Award (IEEE CBMS))

4s-dt

a-comprehensive-machine-learning-code-for-dermal-image-classification

a-comprehensive-mlp-code-for-dermal-image-classification

ac-covidnet

accelerating-super-resolution-and-visual-task-analysis-in-medical-images

active-learning-bayesian-convolutional-neural-networks

Active Learning on Image Data using Bayesian ConvNets

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

ag-cnn

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

age-detection

CNN Deep Learning Model using Keras for predicting the Age

aif360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

albumentations_examples

Augmentations usage examples for albumentations library

alibi

Algorithms for monitoring and explaining machine learning models

amazing-semantic-segmentation

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)

an-ensemble-of-modality-specific-deep-learning-models-for-improved-tb-detection-in-cxrs

antialiased-cnns

pip install antialiased-cnns to improve stability and accuracy

assessment-of-an-ensemble-of-machine-learning-models-toward-abnormality-detection-in-cxr

autoencoders

autometric

draw ROC,PR curve and calculate AUC MAP IoU for image semantic segmentation problem

awesome-explainable-ai

A collection of research materials on explainable AI/ML

batchnormalization_keras

Source code for "One simple trick to train Keras model faster with Batch Normalization"

bayesian-neural-network-blogpost

Building a Bayesian deep learning classifier

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

bcdu-net

BCDU-Net : Medical Image Segmentation

beta_shapley

Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)

blur-pool-keras

Keras implementation of BlurPool layers described in "Making Convolutional Networks Shift-Invariant Again" (Zhang)

bone-suppresion-ensemble

This study proposes a bone suppression model ensemble using novel and state-of-the-art deep learning architectures

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

cancer-detector

Multi-Instance-Learning to check breast cancer. An implementation of Patch-based Convolutional Neural Network for Whole Slide Tissue Image Classification[arXiv:1504.07947] https://arxiv.org/abs/1504.07947

capsnet-keras

A Keras implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules. Now Val_acc>99.5%.