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A Simple Finite Element Method program (AsFem)
Crop Recommendation Prediction using Multilayer Perceptron, Artificial Neural Network and Recurrent Neural Network
Deep learning methods for feature selection in gene expression autism data.
Deep Learning - DNN & CNN
Deep learning toolkit for Drug Design with Pareto-based Multi-Objective optimization in Polypharmacology
A python library for decision tree visualization and model interpretation.
Data Science Feature Engineering and Selection Tutorials
Feature selection technique using genetic algorithm
常用的特征选择方法
Finite volume method (2D)
A simple library that uses genetic algorithms for feature selection optimization
GNU Scientific Library with CMake build support and AMPL bindings
A tool for predicting Heart Disease probability based on ML model
A python package to simulate precipitation and diffusion behavior using Calphad
Learn Artificial Neural Network, Computer Vision and Natural Language Processing models with TensorFlow to Big Data Analytics and build a team for real practice and create a final project for a portfolio.
My blogs and code for machine learning. http://cnblogs.com/pinard
MAterials Simulation Toolkit for Machine Learning (MAST-ML)
Microstructure Characterization and Reconstruction in Python
Mode filter methods for grain growth
Microstructure modeling, mesh generation, analysis, and visualization.
A code that analyses grains from microstructure images, providing informations such as number of grains and grain size
Image processing and analysis of microstructures in Python
This project is on descriptive and predictive analysis of Ames Housing Data. We wish to: Determine the factors that affect the prices of the local housing market? Train a model to accurately predict the prices and improve price prediction accuracy using ML techniques and also test that our predictions are realistic using GridSearchCV, XGBoost etc.
Recognizing the genre of music files using machine learning and deep learning models
We use our ODD model. Our purpose is that predict the distance between car based on Deep-Learning.
OpenCalphad-Python is a Python-based library that allows users to generate their own applications using the OpenCalphad API
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.