Yashi-Nan

Yashi-Nan

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awesome-multimodal-in-medical-imaging

A collection of resources on applications of multi-modal learning in medical imaging.

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GLIA-Net

A segmentation network for intracranial aneurysm on CTA images using pytorch

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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

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deepmedic

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

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SimpleITK-Notebooks

Jupyter notebooks for learning how to use SimpleITK

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3D-Densenet-Alzheimer

3D Densenet Ensemble applied in 4-way classification of Alzheimer's Disease (BI 2020)

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brain2020

Development and validation of an interpretable deep learning framework for Alzheimer's disease classification

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har-wisdm-lstm-rnns

Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks

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Human-Activity-Recognition-using-CNN

Convolutional Neural Network for Human Activity Recognition in Tensorflow

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keras-adabound

Keras implementation of AdaBound

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Getting-Started-with-Tensorflow-2.0-and-Keras-for-Beginners

Getting Started with TensorFlow 2.0 and Keras for Beginners

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NTU-Machine-learning

**大学李宏毅老师机器学习

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Human-behavior-recognition

Human behavior recognition,CNN

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DeepConvLSTM

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

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