fly6464

anet2016-cuhk

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

deep-residual-networks

Deep Residual Learning for Image Recognition

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

fly6464.github.io

GRIP

Program for rapidly developing computer vision applications

img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

pygcn

Graph Convolutional Networks in PyTorch

temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

fly6464/anet2016-cuhk

Action Recognition Toolbox for CUHK&ETHZ&SIAT submission to ActivityNet 2016

fly6464/deep-residual-networks

Deep Residual Learning for Image Recognition

fly6464/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

fly6464/fly6464.github.io

fly6464/GRIP

Program for rapidly developing computer vision applications

fly6464/img2vec

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

fly6464/pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

fly6464/pygcn

Graph Convolutional Networks in PyTorch

fly6464/temporal-segment-networks

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016