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Rank09 源码
inspared by 《Scale-Aware Trident Networks for Object Detection》
Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks
Sensing changes over time in 7cm/px aerial images.
repository for scene classification AI Challenger competition
Supplemental Material for Algorithmic Trading and Quantitative Strategies
Source code for Algorithmic Trading with Python (2020) by Chris Conlan
Experience of The First Competition
Python modules and jupyter notebook examples for the paper Detect and Repair Arbitrage in Price Data of Traded Options.
Automated roads extraction from satellite imagery using a combination of image processing techniques and dynamic path finding algorithms
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
List of machine learning competitions for satellite imagery and remote sensing.
Lots of semantic image segmentation implementations in Tensorflow/Keras
:metal: awesome-semantic-segmentation
Network: FCN, U-Net, Unet+Resblock(DeepUNet), Squeeze+UNet, DenseNet+UNet(DenseUnet)...
AI Investor
基于U-Net检测卫星图像上的新增建筑
The intraday seasonality of volatility and trading volume in the cryptocurrency market
MULTI-SPECTRAL CHANGE DETECTION TOOLBOX/GUI to be uploaded soon!
Steps to perform change detection in pairs of satellite images.
It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.
Materials for the useR2017 tutorial on changepoint detection
Change detection program including IRMAD, MM, MRF etc. python
code for paper "Unsupervised Change Detection in Satellite Images Using Principal Component Analysis and k-Means Clustering"
常见的算法和数据结构题目,摘自《剑指 Offer》,使用 Python 3 实现。
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.