Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
neural-art-transfer
Tensorflow implementation of the paper "A Neural Algorithm of Artistic Style"
affnet
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
Seq2Seq-PyTorch
Sequence to Sequence Models with PyTorch
attention-transfer
Improving Convolutional Networks via Attention Transfer (ICLR 2017)
pytorch_Squeezenet
Implementation of Squeezenet in pytorch, pretrained models on Cifar 10 data to come
hualubei2020-callingsmoking
2020中国华录杯·数据湖算法大赛—定向算法赛（吸烟打电话检测）决赛第二名开源
Machine-Learning
机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）
movenet.pytorch
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
Recommendation-system
推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品/Demo
cvpr2019
Workshop materials for OpenCV day at CVPR 2019 conference