Sivaramakrishnan Rajaraman (sivaramakrishnan-rajaraman)

sivaramakrishnan-rajaraman

Geek Repo

Company:National Library of Medicine, National Institutes of Health, USA

Location:Bethesda, Maryland, USA

Home Page:https://lhncbc.nlm.nih.gov/personnel/sivaramakrishnan-rajaraman

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Sivaramakrishnan Rajaraman's repositories

prepare-data-for-UNet

This repo contains how I prepared my data for zhixuhao's UNet implementation

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dataset-distillation

Dataset Distillation

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tbcnn

A convolutional neural network for tuberculosis diagnosis from frontal chest X-Rays

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VariationalAutoencoder

An IPython notebook explaining the concepts of Variational Autoencoders and building one using Keras to generate new faces.

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Unet_MedicalImagingSegmentation

A U-Net deep learning model for Segmentation of CT Images

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receptivefield

Gradient based receptive field estimation for Convolutional Neural Networks

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Keras-OneClassAnomalyDetection

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

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BCDU-Net

BCDU-Net : Medical Image Segmentation

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spektral

Graph Neural Networks with Keras and Tensorflow.

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BCCD_Dataset

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

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CycleGAN-Keras

Keras implementation of CycleGAN using a tensorflow backend.

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cycle-gan-keras

A keras implementation of CycleGAN

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keras_UNET_segmentation

Keras implementation of a UNET for image segmentation

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blur-pool-keras

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

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keras-loss-functions

Examples of Keras loss functions

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Residual-Attention-Network

Keras Implementation Residual Attention Network

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GaborNet

Deep CNN with Gabor filters

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FaceGenKerasVae

Generating faces using a variational autoencoder in Keras with Tensorflow

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Making-Convolutional-Networks-Shift-Invariant-Again-Tensorflow

Tensorflow Implementation of BlurPool the Antialiasing Pooling operation from "Making Convolutional Networks Shift-Invariant Again"

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keras-stochastic-weight-averaging

Keras callback function for stochastic weight averaging

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wgan-gp-anomaly

gan, wgan-gp, anomaly detection, unsupervised, pytorch

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KerasFuzzy

This is an attempt to implement neuro-fuzzy system on keras

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DL-CNN-CheXpert-data

cs230 project codes and results

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