cshwhale

caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

d_test

ddia

《Designing Data-Intensive Application》DDIA中文翻译

Dockerfiles

doker files repo

M2HF

Pytorch implementation of M2HF

Med3D

3D medical-images Pretrained-models

MedicalNet

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 relative code.

MRNet_dockerfiles

dockerfiles for MRNet

TencentPretrain

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

MedicalNet

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 relative code.

cshwhale/Med3D

3D medical-images Pretrained-models

cshwhale/M2HF

Pytorch implementation of M2HF

cshwhale/MedicalNet

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 relative code.

cshwhale/Dockerfiles

doker files repo

cshwhale/caffe-mobilenet-v3

Caffe Implementation of MobileNets V3

cshwhale/d_test

cshwhale/ddia

《Designing Data-Intensive Application》DDIA中文翻译

cshwhale/MRNet_dockerfiles

dockerfiles for MRNet

cshwhale/TencentPretrain

Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo

cshwhale/TubeMQ

TubeMQ focuses on high-performance storage and transmission of massive data in big data scenarios

cshwhale/video_codec_learn

关于视频编解码学习资料