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amapapplication

Web application based on aMap API.

arcengine-overview-map

Eagle eye application implemented with ArcEngine.

caffe

Caffe: a fast open framework for deep learning.

cascadepsp

[CVPR2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

course

deep-retrieval

🌁 Image retrieval using deep learning of global descriptors.

flask-app-template

An complete Flask application template, with useful plugins.

focal_loss_pytorch

A PyTorch Implementation of Focal Loss.

graphics

The implementation of graphic algorithm.

hetianle.github.io

housepricingofbeijing

HousePricingOfBeijing是一个基于SOA架构的北京丝房价地理信息系统，提供北京市海量房源数据的位置信息和属性信息的空间可视化展示，房源位置、属性及其周边的查询筛选

models

Models and examples built with TensorFlow

ocr-mobilephone-captured-form-image-recognition

(MobilePhone-captured-form image recognition) Form content digits recognition based on OPEN-CV and Tensorflow.

pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

polygonization-by-frame-field-learning

This repository contains the code for our fast polygonal building extraction from overhead images pipeline.

pytorch-unet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

questdecisiontree

QUEST is proposed by Loh and Shih (1997), and stands for Quick, Unbiased, Efficient, Statistical Tree. It is a tree-structured classification algorithm that yields a binary decision tree. A comparison study of QUEST and other algorithms was conducted by Lim et al (2000).

resume

rsseg

semantic-segmentation-rs

sklearn-pandas

Pandas integration with sklearn

web-crawler-based-on-campus-network