Smitha-anil

Binary_classification

Binary classification of csv file using machine learning and deep learning models

ADMM-DIPTV

Combining Weighted Total Variation and Deep Image Prior for natural and medical image restoration via ADMM (2021)

Augmentor

Image augmentation library in Python for machine learning.

BCDU-Net

BCDU-Net : Medical Image Segmentation

blockmatching

Block Matching algorithm to identify moviment in sequence images

BOE2020-OCTA-vessel-segmentation

This repo contains an implementation of the methods described in 'Deep iteratitive vessel segmentation in OCT angiography'

CCPi-Regularisation-Toolkit

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

DeepSeeNet

:eyes: DeepSeeNet is a deep learning framework for classifying patient-based age-related macular degeneration severity in retinal color fundus photographs.

dip_vbtv

drusen_seg

The drusen segmentation model for early AMD.

DrusenSegmentation-ModifiedChen

EyeQ_Enhancement

Code of 'Modeling and Enhancing Low-quality Retinal Fundus Images'

Low-light-Image-Enhancement

Python implementation of two low-light image enhancement techniques via illumination map estimation

Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine_learning_basics

Plain python implementations of basic machine learning algorithms

mural-image-inpainting

Mural image inpainting, Mural damage repair, Line drawing guided image inpainting

njhigham-bib

BibTeX bibliography for papers, books, EPrints, articles, etc. of Nicholas J. Higham.

Non-Local-Means

Python implementation of the Non Local Means algorithm for image denoising.

Non-local_pytorch

Implementation of Non-local Block.

oct_preprocess

OCT preprocessing: Fully Convolutional Boundary Regression for Retina OCT Segmentation

ocular-disease-intelligent-recognition-deep-learning

ODIR-2019. Ocular Disease Intelligent Recognition Through Deep Learning Architectures

one-model-to-reconstruct-them-all

Code for our Paper "One Model to Reconstruct Them All: A Novel Way to Use the Stochastic Noise in StyleGAN"

PEIPNet

[MDPI Sensors] Official PyTorch Implementation of "PEIPNet: Parametric Efficient Image-Inpainting Network with Depthwise and Pointwise Convolution"

Python-Deep-Learning-for-Beginners-

Code Repository for Python Deep Learning for Beginners, published by Packt

python_ML_Demos

Some programs that helped me to learn the concepts of machine learning using python

retinex

A python implementation of MSRCR algorithm for enhancing low-light images.

Retinex-Image-Enhancement

Practical Implementation of Single Scale Retinex and Multiscale Retinex Algorithm in Python 3

RetinexDIP

The pytorch implementation of RetinexDIP, a unified zero-reference deep framework for low-light enhancement.

RetinexNet

A Tensorflow implementation of RetinexNet

segmentation_models

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.