Yashi-Nan's repositories
3D-Densenet-Alzheimer
3D Densenet Ensemble applied in 4-way classification of Alzheimer's Disease (BI 2020)
awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
brain2020
Development and validation of an interpretable deep learning framework for Alzheimer's disease classification
DeepConvLSTM
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Getting-Started-with-Tensorflow-2.0-and-Keras-for-Beginners
Getting Started with TensorFlow 2.0 and Keras for Beginners
GLIA-Net
A segmentation network for intracranial aneurysm on CTA images using pytorch
har-wisdm-lstm-rnns
Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks
Human-Activity-Recognition-using-CNN
Convolutional Neural Network for Human Activity Recognition in Tensorflow
Human-behavior-recognition
Human behavior recognition,CNN
keras-adabound
Keras implementation of AdaBound
NTU-Machine-learning
**大学李宏毅老师机器学习
SimpleITK-Notebooks
Jupyter notebooks for learning how to use SimpleITK