nick917's repositories
albumentations
fast image augmentation library and easy to use wrapper around other libraries
awesome-rl
Reinforcement learning resources curated
BackgroundMattingV2
Real-Time High-Resolution Background Matting
batchgenerators
A framework for data augmentation for 2D and 3D image classification and segmentation
coding-interview-university
A complete computer science study plan to become a software engineer.
CVPR2020-HAttMatting
Attention-Guided Hierarchical Structure Aggregation for Image Matting(CVPR2020)
dataset
医学影像数据集列表 『An Index for Medical Imaging Datasets』
eisen-core
Core functionality of Eisen
elektronn3
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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
Illumination-based-Transformations-Skin-Lesion-Segmentation
This is the code corresponding to our CVPR ISIC 2020 paper.
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
imgaug
Image augmentation for machine learning experiments.
market-breadth
计算美股、A股市场宽度
MedicalNet
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.
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
SimpleElastix
Multi-lingual medical image registration library
SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK
tf-explain
Interpretability Methods for tf.keras models with Tensorflow 2.0
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
vnet-tensorflow
Implementation of vnet in tensorflow for medical image segmentation
voxelmorph
Unsupervised Learning for Image Registration
weekly
科技爱好者周刊,每周五发布