ConleyKong's repositories

AdvancedEAST

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.

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AlphaTree-graphic-deep-neural-network

将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解

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article-1

Review prediction with Neo4j and TensorFlow

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aster

Recognizing cropped text in natural images.

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brook

Brook is a cross-platform(Linux/MacOS/Windows/Android/iOS) proxy software

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caffe2

Caffe2 is a lightweight, modular, and scalable deep learning framework.

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cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

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cascade-rcnn_Pytorch

An implementation of Cascade R-CNN: Delving into High Quality Object Detection.

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ChatterBot

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

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deep-learning-papers-translation

深度学习论文翻译,包括分类论文,检测论文等

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denet

A simple extendable library for training and evaluating Deep Convolutional Neural Networks focussing on real-time image classification and detection.

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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detectron-cascade-rcnn-exp

Experiment results of implement Cascade RCNN under Detectron

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distracted-driver-detection

Predicting the likelihood of what the driver is doing in each of the pictures in the dataset.

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EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

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FPN_Tensorflow

A Tensorflow implementation of FPN detection framework.

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freess

免费ss账号 免费shadowsocks账号 免费v2ray账号 (长期更新)

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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-Recognition

License Plate Recognition For Car With Python And OpenCV

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light_head_rcnn

Light-Head R-CNN

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ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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openalpr

Automatic License Plate Recognition library

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RapidObjectDetectionUsingCascadedCNNs

The purpose of this project is to demonstrate the advantages of combining multiple CNNs to a common cascade structure. In contrast to training a single CNN only, the resulting classifier can be faster and more accurate at once. It can be used e.g. for the purpose of face detection.

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SENet

Squeeze-and-Excitation Networks

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SENet-Tensorflow

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

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simple-railway-captcha-solver

實作基於CNN的台鐵訂票驗證碼辨識以及透過模仿及資料增強的訓練集產生器 (Simple captcha solver based on CNN and a training set generator by imitating the style of captcha and data augmentation)

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sppnet

Spatial Pyramid Pooling on top of AlexNet using tensorflow

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Tensorflow-

Tensorflow实战学习笔记、代码、机器学习进阶系列

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TFFRCNN

FastER RCNN built on tensorflow

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