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binary-classification-using-tf-slim-based-on-inception-resnet-v2

chenxiao61.github.io

classification-color-fundus-photos-transfer-learning-and-image-enhancement

We combined the image enhancement algorithm with transfer learning to achieve the classification of color fundus photo.

focal-loss-pytorch

Focal_Loss (The loss function of retinanet based on pytorch). pytorch 实现 retinanet 损失函数 focal loss ,用于one-stage目标检测算法,提升检测效果.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

fundus

fundus-images-recognition

helloworld

Just another repository

img_aug

Augmentor is an image augmentation library in Python for machine learning. It aims to be a standalone library that is platform and framework independent, which is more convenient, allows for finer grained control over augmentation, and implements the most real-world relevant augmentation techniques. It employs a stochastic approach using building blocks that allow for operations to be pieced together in a pipeline.

img_augmentor

lime

Lime: Explaining the predictions of any machine learning classifier

machinelearning

Basic MachineLearning algorithm

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

shap

A game theoretic approach to explain the output of any machine learning model.

tf_featureextraction

Convenient wrapper for TensorFlow feature extraction from pre-trained models using tf.contrib.slim

tutorials

vae

a simple vae and cvae from keras