sivaramakrishnan-rajaraman Goto Github PK

deep-active-learning

Implementation of active learning features for AxonDeepSeg software (axon-myelin segmentation)

deep-bayesian-active-learning

Implementation of a paper

deep-learning-covid-19-on-cxr-using-limited-training-data-sets

deep-learning-for-anomaly-detection-a-survey

This paper is continuously updated with deep anomaly detection methods and their applications

deep-learning-for-causal-inference

Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2.

deep-neural-ensembles-toward-malaria-parasite-detection-in-thin-blood-smear-images

This study evaluates the performance of custom and pretrained CNNs and construct an optimal model ensemble toward the challenge of classifying parasitized and normal cells in thin blood smear images. The results obtained are encouraging and superior to the state-of-the-art.

deep-viz-keras

Implementations of some popular Saliency Maps in Keras

deepcaps

Official Implementation of "DeepCaps: Going Deeper with Capsule Networks" paper (CVPR 2019).

deepfakes_faceswap

from deekfakes' faceswap: https://www.reddit.com/user/deepfakes/

deepnets

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

dictol

DICTOL - A Dictionary Learning Toolbox in Matlab and Python

dictol_python

A Python implementation of well-known dictionary learning methods.

dl-cnn-chexpert-data

cs230 project codes and results

dropout-unet-for-cxr-segmentation

dsbn

Official Implementation of "Domain Specific Batch Normalization for Unsupervised Domain Adaptation (CVPR2019)"

effect-of-dropout-on-model-performance-toward-skin-cancer-classification

ensemble-objdet

A basic ensemble method for object detection. Given bounding boxes from multiple object detectors, output a single cohesive set of bounding boxes.

ensemble-of-cnn-and-vit-for-tb-detection-in-lateral-cxr

An ensemble of convolutional neural network and vision transformer models to improve TB detection in lateral chest radiographs

explainable-ensemble-learning-and-inter-reader-variability-analysis-for-covid-19-detection

facegenkerasvae

Generating faces using a variational autoencoder in Keras with Tensorflow

fast_dist_shapley

Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)

faster_rcnn_for_open_images_dataset_keras

Faster R-CNN for Open Images Dataset by Keras

focal-tversky-unet

This repo contains the code for our paper "A novel focal Tversky loss function and improved Attention U-Net for lesion segmentation" accepted at IEEE ISBI 2019.

frcnn-from-scratch-with-keras

:collision:Faster R-CNN from scratch written with Keras

fully_convolutional_networks

Implementation of various fully convolutional networks in Keras

gabor-initialized-cnn

A new transfer learning strategy by initializing CNNs with predefined Gabor filters.

gabornet

Deep CNN with Gabor filters

google-research

Google Research

hierarchical-deep-cnn