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luvexplosion's Projects

choroidsegmentation icon choroidsegmentation

Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions. This software was developed by the HMR Biophotonics Lab, Hospital Maisonneuve-Rosemont, Montreal, Quebec, Canada (biophotonics.ca). It is open source and it was released under the GNU GENERAL PUBLIC LICENSE v3. It is only for research purposes. The algorithm is described in the paper "Open-source algorithm for automatic choroid segmentation of OCT volume reconstructions", Javier Mazzaferri, Luke Beaton, Gisèle Hounye, Diane N. Sayah, and Santiago Costantino, in press in Scientific Reports Jan 2017.

courseraml icon courseraml

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

deepseenet icon deepseenet

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

irf-segmenter icon irf-segmenter

Deep learning based, intraretinal fluid segmenter for macular OCTs

ml-class icon ml-class

Stanford Machine learning class excercises

ml-class-1 icon ml-class-1

Programming exercises for 2011 ml-class.org (and the one exercise for ai-class.org)

mlclass icon mlclass

Exercises from the Stanford machine learning class.

photoreceptor-segmentation icon photoreceptor-segmentation

This code corresponds to the implementation of the U-shaped deep neural networks that we used in our Scientific Reports paper on photoreceptor segmentation in OCT scans

pytorch-gan icon pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

relaynet icon relaynet

Retinal Layers and Fluid Segmentation in Macular OCT scans (code + Pre-trained Model)

relaynet_pytorch icon relaynet_pytorch

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

rltrader icon rltrader

파이썬과 케라스를 이용한 딥러닝/강화학습 주식투자 - 퀀트 투자, 알고리즘 트레이딩을 위한 최첨단 해법 입문

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