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beobenchmark

Building Energy Optimization (BEO) problem test bed for benchmarking black-box optimization algorithms

building-prediction-benchmarking

An array of open source ML models applied to long-term hourly energy prediction for institutional buildings

butterfly

:butterfly: A light python API for creating and running OpenFoam cases for CFD simulation.

contributing

How to make a clean pull request on Github

data-science-for-construction-edx-course-notebooks

Jupyter/Colab Notebooks for Data Science for Construction, Architecture and Engineering

dynamo

Open Source Graphical Programming for Design

gnntrainingmaterial

hello-world

honeybee

:honeybee: A python library to create, run and visualize the results of daylight (radiance) and energy analysis (OpenStudio).

honeybee-legacy

:bee: Honeybee is a free and open source plugin to connect Grasshopper3D to EnergyPlus, Radiance, Daysim and OpenStudio for building energy and daylighting simulation

ladybug-dynamo

:beetle: :blue_book: Ladybug library and plugin for DynamoBIM

lux-design-2021

Home to the design and engine of the @Lux-AI-Challenge Season 1, hosted on @kaggle

machine-learning-mindmap

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

machine-learning-roadmap

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

makinglyst

A peek into the tech and design at Lyst

mscthesis

nbviewer

nbconvert as a web service: Render Jupyter Notebooks as static web pages

python-cheatsheet

Basic Cheat Sheet for Python (PDF, Markdown and Jupyter Notebook)

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorchnotebooks

radiance

Mirror of the master Radiance cvs source repo, used for the creation of Radiance installers for the NREL OpenStudio project

revitpythonshell

An IronPython scripting environment for Autodesk Revit and Vasari

short-term-energy-demand-forecasting

Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)

simple-neural-network

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.