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This is a compact code for reliability analysis under uncertainty using a Polynomial Regression Machine Learning approach. The code implements a stochastic response surface method (SRSM) which quantifies the uncertainty in a performance function for the purpose of reliability-based design optimization (RBDO).
This work aims to predict airfoil's performance characteristics from a binary image of an airfoil at a specific AoA. This implementation uses a rudimentary CNN that has about 700000 parameters.
Machine learning course SCS 3253
Solving Airfoil Self-Noise and Prediction problem with Machine Learning
CNN model to predict the lift-drag ratio of airfoil
This project is implementing genetic algorithm (GA) and simulated annealing (SA) to optimize airfoil's lift-to-drag ratio based on the pre-trained CNN (as the evaluation function)
Implementation of B-Splines in Python for various geometries
It is a small software which is developed by MATLAB for modeling the energy system of a building or HVAC system.
Bringing building energy simulation and statistical learning together
Python modules for automating Modelica simulations and for running unit test for the Buildings library
CNN for airfoil lift-to-drag-ratio prediction
Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym
This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.
Lecture Notes on Design & Analysis of Experiments
Design-of-experiment (DOE) generator for science, engineering, and statistics
the proper orthogonal decomposition(POD) and dynamic mode decomposition(DMD) methods
Optimising electricity expenditure in an HVAC system under dynamic electricity pricing scheme and weather conditions using a DDPG model.
A short program for HVAC duct sizing
Python lib running energy plus across platform and version
A prototype of the EnergyPlus Python-EMS interface package
Creates Energy Plus files for input into greenhouse energy simulator
ORM for energy plus modeling. Plus some useful uitilities
The codebase for the article "A case for machine learning in CFD".
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
Deep Learning python code for HVAC cooling / Heating load calculation
Learn how to build an anomaly detection model and deploy it for real-time monitoring of malfunctioning Air Handling Units (AHUs)
Reduced order modelling techniques for OpenFOAM
LSTM to predict daily HVAC consumption in buildings
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.