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acne

aml-all-classifiers

The Peter Moss Acute Myeloid/Lymphoblastic Leukemia classifiers are a collection of projects that use computer vision to classify Acute Myeloid/Lymphoblastic Leukemia in unseen images. The projects include classifiers made with Tensorflow, Caffe, FastAI, Intel Movidius (NCS & NCS2), OpenVino and Python/Java/C++/R classifiers.

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-net

COVID-Net model for COVID-19 detection on COVIDx dataset

demo

demo

image-similarity

isic-kaggle-2020

Repo for the ISIC Kaggle challenge

keras-acne

keras-applications

Reference implementations of popular deep learning models.

lenholesdetection

Classifying Empty Holes and Len Holes

libsvm

mp-idb-the-malaria-parasite-image-database-for-image-processing-and-analysis

MP-IDB is the public image dataset described in the following article: https://link.springer.com/chapter/10.1007/978-3-030-13835-6_7

onset-stage-class

pytorch-lr-finder

A learning rate range test implementation in PyTorch

segmentbox

selfdeblur

Repo for reconstructing selfdeblur model

simple-keras-rest-api

A simple Keras REST API using Flask

torchbox

implement your ideas in an easy, customizable and fast way

torchbox_

wavelet_recapture