Here I have collected various machine learning branch papers summarized by bigwigs in various directions.
1、awesome_deep_learning_interpretability
The author has compiled relevant papers on model interpretability in deep learning, and sorted them by the number of citations.
2、迁移学习 Transfer Learning
May be it is the most complete repository about transfer learning.
3、MICCAI 2019 Open Source Papers
The author compiled the open source papers of the 2019 MICCAI Conference.
4、awesome-gcn
The author collect the Graph Convolutional Neural Network(GCN)、Graph Attention Networks(GAT) and related other resources.
5、SOTA-MedSeg
State-of-the-art medical image segmentation methods based on various challenges! (Updated 2020).
6、AdversarialNets Papers
Awesome papers about Generative Adversarial Networks. Majority of papers are related to Image Translation.
7、Deep Learning Papers on Medical Image Analysis
This is the first list of deep learning papers on medical applications.
8、AlphaTree-graphic-deep-neural-network
The AI Rodamap includes Machine Learning、Deep Learning、GAN、GNN、NLP and other books on
the development of big data, With massive source code.
9、Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis.
10、Deep Learning in Medical Imaging and Medical Image Analysis
Deep Learning in Medical Imaging Survey.
11、Loss functions for image segmentation
A collection of loss functions for medical image segmentation