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algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

caffe icon caffe

Caffe: a fast open framework for deep learning.

cal_swnl icon cal_swnl

1.计算适用指标;2.创建模型;3.调用模型

camelyon16 icon camelyon16

The solution to cameyon16 and camelyon17 challenge and also to your own WSI data project.

chineseocr_lite icon 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

create_data icon create_data

ocr recognition result transform into labelme's json file

cv-papers icon cv-papers

计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与!!! 持续更新中... ...

deepslide icon deepslide

Code used in the paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

east icon east

A tensorflow implementation of EAST text detector

face_upload_server icon face_upload_server

this repo can upload and download file include images and videos from hospital for recognition of face structure.

faceanalysis icon faceanalysis

1.detect face main 2.find wrinkle, dark circles and so on

flower_world icon flower_world

使用tensorflow和cnn做的图像识别,对四种花进行了分类。

lightning icon lightning

Deep learning framework to train, deploy, and ship AI products Lightning fast.

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

models icon models

Models and examples built with TensorFlow

pma_python icon pma_python

Python wrapper library for PMA.start, a universal viewier for whole slide imaging and microscopy

text-detection-ctpn icon text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

train_cnn-rnn-attention icon train_cnn-rnn-attention

cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,.....

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