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Do group anomaly detection on Multivariate time series using unsupervised methods
Multistep univariate time series forecasting using Gated Recurrent Unit.
GTM (Generative Topographic Mapping)
Four centuries of geomagnetic secular variation from historical records
Build models using tweets data and demographic data, including pca, KNN, linear regression, lasso regression, svm, random forests, bagging, boosting etc.
Better heatmaps in Python
The template repository for the Hello PowerShell World course on Learning Lab.
sun-powered-world
Code for doing photon id and CEMC clustering in HI events. (Thesis Project)
The python codes that we used to produce the results in the manuscript is stored here.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Horai US Long-term Seasonal Weather Forecast
This project is mainly for others to reproduce the thesis work.
Competitions Datasets Code Discussions Courses More Recently Viewed Thumbnail for Linear Regression I
How to Check if Time Series Data is Stationary with Python
A Parallel Monte-Carlo Tree Search using multiprocessing and real weather forecasts to address long-term optimal path planning under uncertainty for autonomous sailboat
Designed an IEEE 30 Bus system using PowerWorld performing Power flow and fault analysis on the system. Calculated the total generation, active and reactive power and the power losses alongside performing fault analysis for different types of faults (Single phase to Ground, Line to Line, 3 Phase Balanced and Double Line to Ground faults).
A full-replica MATLAB/Simulink dynamic model of the IEEE 39-bus power system, including dynamic models of conventional generation and dynamic load profiles.
Magnetohydrodynamics code for astrophysical simulations
An improved decision tree classifier, in which the feature ranking threshold is used to replace Gini coefficient or information gain rate, as a criterion for judging whether a feature can be used as a tree node.
Application of anomalies detecting and imputing algorithms for improving the LightGBM regressor.
Provide methods to impulate missing values with various of methods like regression, knn and mean/mode fill as well as auto imputation method which select best methods according to missing status.
electric motors are critical components of a modern system. Their failure causes sever impacts on op
This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Support Vector Machine, Deep Neural Network and Logistic Regression) and Machinery Fault Dataset dataset available on kaggle.
Deep learning classifier to detect faults in Induction Motors
Replication of the paper "Assessing the influence of neutral grounds on match outcomes" and extension using genetic matching
Highlights • Physics-informed machine learning is investigated for global sensitivity analysis. • Physics and test data are fused to maximize the accuracy of sensitivity estimates. • Uncertainties in Gaussian process and deep neural network models are included. • Accuracy, uncertainty and computational effort of proposed approaches are compared.
Fit interpretable models. Explain blackbox machine learning.
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.