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aas

Code to accompany Advanced Analytics with Spark from O'Reilly Media

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adjacency-graphs

Tools for obtaining adjacency graphs from polygon shapefile data

air-quality-prediction

Repository of KDD Cup, 2018.

alertr

A client/server based multi-purpose alarm and monitoring system

algorithm-visualizer

:fireworks:Interactive Online Platform that Visualizes Algorithms from Code

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

algorithms-and-data-structures

algorithmsbypython

算法/数据结构/Python/剑指offer/机器学习/leetcode

awesome-remote-sensing-papers

Selection of remote sensing papers

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

awesome-trajectory-prediction

beijing-trajectories-project

Analysis and transport mode classification of the GeoLife GPS Trajectories Dataset

bisheserver

本系统是我的毕业设计项目，题目为“基于用户画像的电影推荐系统的设计与实现”。主要是以Django作为基础框架，采用MTV模式，数据库使用MongoDB、MySQL和Redis，以从豆瓣平台爬取的电影数据作为基础数据源，主要基于用户的基本信息和使用操作记录等行为信息来开发用户标签，并使用Hadoop、Spark大数据组件进行分析和处理的推荐系统。管理系统使用的是Django自带的管理系统，并使用simpleui进行了美化。

blog

Everything about database,bussiness.

cedgan-interpolation

Demo code for the paper -- Spatial interpolation using conditional generative adversarial neural networks

chandlerzuo.github.io

My blog.

code-for-paper-llcnn

contextlab

ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch

coolplayspark

酷玩 Spark: Spark 源代码解析、Spark 类库等

crowd_behavior_analysis

Crowd behavior analysis is an important field of research in modern world. It has wide applications in surveillance and public safety which are one of the prime social concerns. One way to analyze crowd behavior is obtain crowd movement data and then find out outliers in the individual trajectories to infer any abnormal behavior in the crowd.

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

csrnet-pytorch-crowd-ssmi

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

datamining-geolife-with-python

Learn and do some research about the trajectory datamining using geolife dataset with python.

dataset-catalog-

A catalog for `/data3`.

datastructure

常用数据结构介绍

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.