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Implementation of the paper "Learning Meta Model for Zero- and Few-shot Face Anti-spoofing"
BCCD Dataset is a small-scale dataset for blood cells detection.
train C3D with keras for action recognition
Caffe models in TensorFlow
Central Difference Convolutional Networks
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
Tensorflow implementation of "Spatial As Deep: Spatial CNN for Traffic Scene Understanding" (AAAI 2018)
CRNN with attention to do OCR,add Chinese recognition
Convolutional Recurrent Neural Networks(CRNN) for Scene Text Recognition
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Automatic 2D-to-3D Video Conversion with CNNs
Densely Connected CNN with Multi-scale Feature Attention for Text Classification
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
通过Python语言进行编写的人脸识别源代码。针对人脸识别中,没有放入摄像头采集的照片,所以,需要你自己提供进行采集即可,放入到train_material中的你自己的一个文件夹即可。
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
CVPR2020: Central Similarity Quantization/Hashing for Efficient Image and Video Retrieval
Face Analysis Project on MXNet
An implementation for mnist center loss training and visualization
"NASNet" models in Keras 2.0+ with weights
基于keras的语义分割,fcn32/fcn8/SegNet/U-Net
SegNet model implemented using keras framework
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
A Keras implementation of YOLOv3 (Tensorflow backend)
Keras Implementation of faster-rcnn
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.