lrain-CN

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face-everthing

face detection alignment recognition reconstruction ...

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DenseNet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Language:LuaBSD-3-Clause473700

HyperLPR

基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

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License-Plate-Detector

基于Yolov5车牌检测,更快更准.

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Zeusee-Face-Anti-spoofing

开源配合型人脸活体检测 Open Source Face Anti-spoofing

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caffe-sl

caffe for Similarity Learning

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sphereface

Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.

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Personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

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RSA-for-object-detection

Code and some data for 'Recurrent Scale Approximation for Object Detection in CNN' in ICCV 2017

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deep-residual-networks

Deep Residual Learning for Image Recognition

MIT643000

style2paints

sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

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XX-Net

A proxy tool to bypass GFW.

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PythonSpiderNotes

Python入门网络爬虫之精华版

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awesome-spider

爬虫集合

MIT2254200

face-alignment-cpp

face alignment in 3000fps with C++

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face-alignment

:fire: 2D and 3D Face alignment library build using pytorch

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face-alignment

Face alignment in 3000 FPS

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face-alignment-at-3000fps

The project is an C++ implementation of Face Alignment at 3000fps via Regressing Local Binary Features

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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hybridblurdetector

This project aims to detect blur in images along with a coefficient of confidence, i.e. the extent upto which an image is blurred.

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opencv-facial-landmark-detection

使用OpenCV实现人脸关键点检测

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Detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

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awesome-wechat-weapp

微信小程序开发资源汇总 :100:

GPL-3.04583800

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

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MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

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Caffe-HRT

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

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tensorflow_poems

中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！

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playground

Play with neural networks!

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deepframeworks

Evaluation of Deep Learning Frameworks

deepvoice

Deep Voice: Real-time Neural Text-to-Speech

Language:PythonApache-2.036000