quxiaofeng Goto Github PK
Name: Xiaofeng Qu
Type: User
Company: Tsinghua University
Bio: Post-doc in Tsinghua
Location: Shenzhen & Hong Kong, China
Xiaofeng Qu's Projects
deeplearning-papernotes
Summaries and notes on Deep Learning research papers
deeplearning.scala
A simple language for creating complex neural networks
deeplearning_tutorials
The deeplearning algorithms implemented by tensorflow
deeplearningbook-cn
A translation of the deep learning book (翻译《深度学习》)
deeplearningcode
深度学习相关代码
deeplearningimplementations
Implementation of some deep learning models
deeplearningtutorial
Deep learning tutorial in Chinese/深度学习教程中文版
deepmatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors for user and item which can be used for ANN search.
deepnlp-models-pytorch
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
deformable-convnets
Deformable Convolutional Networks
delugenets
Deluge Networks
demon
DeMoN: Depth and Motion Network
deoldify
A Deep Learning based project for colorizing and restoring old images
depix
Recovers passwords from pixelized screenshots
dictionarylearning
dks_software
DKS Demo Software
dl_tutorials
Deep learning tutorials (2nd ed.)
dlst
Deep Location-Specific Tracking
dm_control
The DeepMind Control Suite and Package
docker
Docker - the open-source application container engine
doorhandle
doorknob
The site of doorknob project. 门把手识别的网站
dragon-book-exercise-answers
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理（紫龙书）第2版习题答案。
dreyerprojects.github.io
dsd
DSD model zoo. Better accuracy models from DSD training on Imagenet with same model architecture
dy2018
get the newest movie information from www.dy2018.com
dynet
DyNet: The Dynamic Neural Network Toolkit
efficientnet-pytorch
A PyTorch implementation of EfficientNet
eng2003
Part III, Lab sessions, ENG2003 Information Technology, HK PolyU
eulerian-magnification
A tool to discover hidden variation in video.
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