Beast code in Giters

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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fq-book

📖《网络代理与VPN应用详解》详细阐述代理、隧道、VPN运作过程，并对GFW策略如：地址端口封锁、服务器缓存投毒、数字验证攻击、SSL连接阻断做相关的原理说明

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GDCM

Grassroots DICOM read-only mirror. Only for Pull Request. Please report bug at http://sf.net/p/gdcm

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Illumination-based-Transformations-Skin-Lesion-Segmentation

This is the code corresponding to our CVPR ISIC 2020 paper.

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image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

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imgaug

Image augmentation for machine learning experiments.

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labelImg

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

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lucid

A collection of infrastructure and tools for research in neural network interpretability.

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Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

Language:PythonApache-2.0010