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Name: Xu Han
Type: User
Company: Harvard University
Bio: I am currently a Postdoctoral Fellow at Harvard Center for Green Buildings and Cities. My research interests are building system simulation and control.
Name: Xu Han
Type: User
Company: Harvard University
Bio: I am currently a Postdoctoral Fellow at Harvard Center for Green Buildings and Cities. My research interests are building system simulation and control.
Deep reinforcement learning algorithms is applied on a pump which control temperature of water floating into the underfloor heating system and controlling open/close valves for circuits depending on the chosen environment.
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
AR-based CFD Visualization of Indoor Thermal Environment on Mobile Devices
Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365
Repository for deep reinforcement learning with OpenAI
Dockerfile that is used for the JModelica regression testing of the Buildings library and of BuildingsPy
Docker file for OpenAI gym, pyTorch and jModelica. This is the virtual environment for deep reinforcement learning control on a Modelica/EnergyPlus environment.
Easy Reduced Basis method
The fastai deep learning library, plus lessons and tutorials
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
Time Series Forecasting using LSTM in Keras.
Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart
MPC with Gaussian Process
Hidden Fluid Mechanics
a reduced order model trained by FFD simulations
A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269
Determines which markup library to use to render a content file (e.g. README) on GitHub
ETH Model Predictive Control Course
Modelica Buildings library
Modelica models integration with Open AI Gym
Modred main repository
A Neural Network implemented from scratch (using only numpy) in Python.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network
Radeon Rays is ray intersection acceleration library for hardware and software multiplatforms using CPU and GPU
RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.
Personal experiments on Reinforcement 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.