Pinned Repositories
3D-Deepbox
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
Anti-Anti-Spider
越来越多的网站具有反爬虫特性，有的用图片隐藏关键数据，有的使用反人类的验证码，建立反反爬虫的代码仓库，通过与不同特性的网站做斗争（无恶意）提高技术。（欢迎提交难以采集的网站）
BanditSum
This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.
Blog
Blog_build
Try to build a blog manage system
caffe
Caffe
d2l-zh
《动手学深度学习》
DeepFace
Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.
dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Document-Scanner-and-OCR
A simple document scanner with OCR implemented using Python and OpenCV
Stephen-Adams's Repositories
Stephen-Adams/3D-Deepbox
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
Stephen-Adams/BanditSum
This repository contains data and code for our EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.
Stephen-Adams/Blog
Stephen-Adams/Blog_build
Try to build a blog manage system
Stephen-Adams/caffe
Caffe
Stephen-Adams/d2l-zh
《动手学深度学习》
Stephen-Adams/dnn_ctr
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
Stephen-Adams/Document-Scanner-and-OCR
A simple document scanner with OCR implemented using Python and OpenCV
Stephen-Adams/dress
DRESS simplification model (EMNLP 2017) described in http://aclweb.org/anthology/D/D17/D17-1062.pdf
Stephen-Adams/face-BlendShapesRecorder
A simple iOS app that records the BlendShapes feature with timestamps provided by ARKit.
Stephen-Adams/FDSSTTest
Stephen-Adams/ffhq-dataset
Flickr-Faces-HQ Dataset (FFHQ)
Stephen-Adams/fhog
fhog features C++ code
Stephen-Adams/ISDA-for-Deep-Networks
An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.
Stephen-Adams/mmdetection
OpenMMLab Detection Toolbox and Benchmark
Stephen-Adams/My-TensorFlow-tutorials
This repo contains all of my TensorFlow tutorials
Stephen-Adams/myGitTest
Stephen-Adams/pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Stephen-Adams/PRNet-Train
PRNet train code
Stephen-Adams/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)
Stephen-Adams/pytorch_mpiigaze
A PyTorch implementation of MPIIGaze and MPIIFaceGaze
Stephen-Adams/remove-stamp
Stephen-Adams/sca-cnn
image captions generation with spatial and channel-wise attention
Stephen-Adams/self-critical.pytorch
Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning; py3 version in py3 branch (it actually should be compatible to both py2 and py3)
Stephen-Adams/Semantic_Compositional_Nets
The Theano code for the CVPR 2017 paper "Semantic Compositional Networks for Visual Captioning"
Stephen-Adams/shadowsocks-libev
libev port of shadowsocks
Stephen-Adams/stb
stb single-file public domain libraries for C/C++
Stephen-Adams/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
Stephen-Adams/video_captioning_rl
Code and Models for paper "Reinforced Video Captioning with Entailment Rewards (EMNLP 2017)"
Stephen-Adams/VideoToTextDNN
MTLE method, winner of the Large Scale Movie Description Challenge (LSMDC) 2017 - Video Description Task.