Liu's Projects
implementation of 3DUNet by PyTorch 1.0
The code of “Deep Spatial-Temporal Feature Fusion from Adaptive Dynamic Functional Connectivity for MCI Classification”
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Text classification based on LSTM on R8 dataset for pytorch implementation
LSTM Classification using Pytorch
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
LSTM 实现的股票最高价预测