Pinned Repositories
blueprint3d
Build interior spaces in 3D
BuildingDetectors_Round2
Building detector algorithms from second SpaceNet Challenge
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
gitskill
gitskills
hello
han xiao yu have a try
image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
learngit
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
models
Models and examples built with TensorFlow
hanxiaoyuyu's Repositories
hanxiaoyuyu/blueprint3d
Build interior spaces in 3D
hanxiaoyuyu/BuildingDetectors_Round2
Building detector algorithms from second SpaceNet Challenge
hanxiaoyuyu/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
hanxiaoyuyu/gitskill
hanxiaoyuyu/gitskills
hanxiaoyuyu/hello
han xiao yu have a try
hanxiaoyuyu/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
hanxiaoyuyu/learngit
hanxiaoyuyu/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
hanxiaoyuyu/models
Models and examples built with TensorFlow
hanxiaoyuyu/noise2noise
An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"
hanxiaoyuyu/Parallex-Tolerant--Bhavya-Kalra
Implementing Parallax Tolerant Image Stitching paper by Fan Zhang and Feng Liu
hanxiaoyuyu/Scalable_Provenance
Code developed for the 2018 TIP paper "Image Provenance at Scale"
hanxiaoyuyu/text-detection-ctpn
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
hanxiaoyuyu/turicreate
Turi Create simplifies the development of custom machine learning models.