Stars
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Latex code for making neural networks diagrams
Deep Learning on Lattice Light-Sheet Data. Patch-Trained 3D U-Nets for Binary Segmentation. 3 Clear Jupyter Notebooks.
Easy-Shu / Beautiful-Visualization-with-Python
Forked from hodlforever/Beautiful-Visualization-with-pythonpython数据可视化之美
《R语言数据可视化之美》配套代码
Sequential patch-based segmentation for medical image
OpenMMLab Detection Toolbox and Benchmark
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 rela…
Code for Kaggle competition - Planet: Understanding the Amazon from Space. PyTorch CNN Finetune suite
Models and examples built with TensorFlow
100-Days-Of-ML-Code中文版
Research Framework for easy and efficient training of GANs based on Pytorch
An implement of paper "Multi-level Contextual 3D CNNs for False Positive Reduction in Pulmonary Nodule Detection"
Sharpness-aware Low Dose CT Denoising Using Conditional Generative Adversarial Network
Multi-lingual medical image registration library
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Solution based on U-Net for the Kaggle Carvana Image Masking Challenge
unsupervised cell-level visual representation learning
Semantic Segmentation Architectures Implemented in PyTorch
CTPN + DenseNet + CTC based end-to-end Chinese OCR implemented using tensorflow and keras