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Fill the gap of precipitation and temperature data from station observations
提取图像的灰度共生矩阵(GLCM),根据GLCM求解图像的概率特征,利用特征训练SVM分类器,对目标分类
Bias Correction Tool for GPM precipitation data
A two-step merging and downscaling method for satellite precipitation
Hagelslag is an object-based severe storm hazard forecasting system.
Deep Semi-Supervised Object Detection for Extreme Weather Events
Anchored Neighborhood Regression based Single Image Super-Resolution from Self-Examples
Image inpainting via dictionary learning and sparse representation.
This machine learning project learnt and predicted rainfall behavior based on 14 weather features. Applied KNN model, Clustering model and Random Forest model.
kpca,matlab
The purpose off this project is o investigate the potential of using passive microwave brightness temperature and emissivity data sets from satellite observationsto monitor recent land cover/land use changes and droughts. Temperature and emissivity data at differentvarious frequencies will be formulated to calculate global land surface emissivityfor the last three dacades.The estimates are then compared against the independent drought indicators which are based on percipitation and soil moisture data records.
LLE (Locally Linear Embedding) , matlab
CS670 - Artificial Intelligence | UMass Boston
LPP(Locality Preserving Projections) , Matlab
Large Scale Precipitation Tracking (Kerns and Chen 2016, JGR) code in Matlab.
Public release version of Large Scale Precipitation Tracking (LPT). Kerns and Chen (2020, JGR Atmospheres).
Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means
机器学习算法的实现和应用
Analyzing SVM and KNN classification using sklearn module
Comparing SVM & KNN Regression
Automated Machine Learning for Supervised Tasks: Binary Classification, MultiClass Classification and Regression (work in progress)
MultiLayer perception for classification and regression
simple comparative of SVM and MLP classifiers using Heart Disease UCI Database
Pytorch、Scikit-learn实现多种分类方法,包括逻辑回归(Logistic Regression)、多层感知机(MLP)、支持向量机(SVM)、K近邻(KNN)、CNN、RNN,极简代码适合新手小白入门,附英文实验报告(ACM模板)
Code for Mondrian Forests (for classification and regression)
处理雷达数据的matlab程序包
In pattern recognition, the k-nearest neighbors algorithm (k-NN) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in the feature space. The output depends on whether k-NN is used for classification or regression. In k-NN classification, the output is a class membership. An object is classified by a majority vote of its neighbors, with the object being assigned to the class most common among its k nearest neighbors (k is a positive integer, typically small). If k = 1, then the object is simply assigned to the class of that single nearest neighbor.
Python code for MWR paper 'Using Artificial Neural Networks for Generating Probabilistic Subseasonal Precipitation Forecasts over California'
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.