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Name: Son Tran
Type: User
Company: National Renewable Energy Laboratory
Location: Colorado, United States
Name: Son Tran
Type: User
Company: National Renewable Energy Laboratory
Location: Colorado, United States
This repo demonstrates how to perform topic classification and modeling using Natural Language Processing.
In this notebook, I used unsupervised machine learning algorithms (K-Means and K-Plane) to cluster times series data.
Use COMSOL Multiphysics to model the transport of gas into the bulk oil phase during gas injection processes. This model was used to simulate the visualization study of gas/oil interactions as detailed in SPE-201109-PA.
In this notebook, I queried greenhouse gas emissions database of provinces and territories in Canada using foundational SQL statements, filtered result sets, worked with tables.
This notebook serves as an introduction to Linear Programming and MILP with Python, covering both the concepts and practical applications through various popular optimization problems.
Modeling two-phase flow and transport in porous media using MATLAB.
In this notebook, I built gradient boosting classifier and neural network models to classify and predict the survival rate of patients with breast cancer.
This repo demonstrates how to build a surrogate (proxy) model by multivariate regressing building energy consumption data (univariate and multivariate) and use (1) Bayesian framework, (2) Pyomo package, (3) Genetic algorithm with local search, and (4) Pymoo package to find optimum design parameters and minimum energy consumption.
In this notebook, I built gradient boosting classifier and LSTM model to classify and predict the mineral scaling potential of formation water in US shale basins.
In this notebook, I employed built-in Keras Sequential model and pretrained ResNet50 model using Pytorch to perform segmentation of satellite images of water bodies.
In this notebook, I built machine learning and neural network models to regress and predict Rossmann stores' daily sales.
A Streamlit app for analyzing and visualizing Calgary City Services 311 data. Offers features like data filtering, interactive visualizations, and more.
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.