Pinned Repositories
2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement
2019CCF-BDCI大赛 最佳创新探索奖获得者 基于OCR身份证要素提取赛题冠军 天晨破晓团队 赛题源码
3d-game-shaders-for-beginners
🎮 A step-by-step guide to implementing SSAO, depth of field, lighting, normal mapping, and more for your 3D game.
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
3dmm_cnn
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network
4dface
Real-time 3D face tracking and reconstruction from 2D video
A-Light-and-Fast-Face-Detector-for-Edge-Devices
A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......
A-Pyramid-Architecture-of-GANs
Learning Face Age Progression: A Pyramid Architecture of GANs
acl
Server framework and network components written by C/C++ for Linux, Mac, FreeBSD, Solaris(x86), Windows, Android, IOS
Ad-papers
Papers on Computational Advertising
CVPRW2019_Face_Artifacts
Exposing DeepFake Videos By Detecting Face Warping Artifacts
daxiafresh's Repositories
daxiafresh/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
daxiafresh/acl
Server framework and network components written by C/C++ for Linux, Mac, FreeBSD, Solaris(x86), Windows, Android, IOS
daxiafresh/Advertising-algorithm-competition
2018 腾讯广告算法大赛/IJCAI 阿里妈妈搜索广告转化预测竞赛/讯飞广告营销算法/OGeek
daxiafresh/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
daxiafresh/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
daxiafresh/chineseocr_lite
超轻量级中文ocr，支持竖排文字识别, 支持ncnn推理 , dbnet(1.7M) + crnn(6.3M) + anglenet(1.5M) 总模型仅10M
daxiafresh/CloudGamePlatform
云电脑云游戏平台整体解决方案，支持windows、Android、OSX/IOS平台
daxiafresh/COVID-19-Scanner
daxiafresh/create-react-app
Set up a modern web app by running one command.
daxiafresh/darknet_face_with_landmark
加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理
daxiafresh/deepdetect
Deep Learning API and Server in C++11 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE
daxiafresh/FaceDetection-DSFD
腾讯优图高精度双分支人脸检测器
daxiafresh/faiss
A library for efficient similarity search and clustering of dense vectors.
daxiafresh/incubator-brpc
Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
daxiafresh/kaldi
This is the official location of the Kaldi project.
daxiafresh/lac
百度NLP：分词，词性标注，命名实体识别
daxiafresh/lorca
Build cross-platform modern desktop apps in Go + HTML5
daxiafresh/mediapipe
MediaPipe is the simplest way for researchers and developers to build world-class ML solutions and applications for mobile, edge, cloud and the web.
daxiafresh/ObjectDetection-OneStageDet
单阶段通用目标检测器
daxiafresh/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
daxiafresh/pachi
A fairly strong Go/Baduk/Weiqi playing program
daxiafresh/photo2cartoon
人像卡通化探索项目 (photo-to-cartoon translation project)
daxiafresh/places365
The Places365-CNNs for Scene Classification
daxiafresh/pose-animator
daxiafresh/react
A declarative, efficient, and flexible JavaScript library for building user interfaces.
daxiafresh/speech-driven-animation
daxiafresh/speech_recognition-1
A Flutter plugin to use speech recognition on iOS & Android (Swift/Java)
daxiafresh/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
daxiafresh/synsin
View synthesis for the public.
daxiafresh/USRNet
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)