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ai-pump-for-underfloor-heating-systems

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.

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

data-assisted

Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365

deep_rl

Repository for deep reinforcement learning with OpenAI

docker-ubuntu-jmodelica

Dockerfile that is used for the JModelica regression testing of the Buildings library and of BuildingsPy

docker_gym_pytorch_jmodelica

Docker file for OpenAI gym, pyTorch and jModelica. This is the virtual environment for deep reinforcement learning control on a Modelica/EnergyPlus environment.

ezyrb

Easy Reduced Basis method

fast-fluid-dynamics

fastai

The fastai deep learning library, plus lessons and tutorials

ffd-dll-src

flowtorch

flowTorch - a Python library for analysis and reduced-order modeling of fluid flows

forecasting-on-air-pollution-with-rnn-lstm

Time Series Forecasting using LSTM in Keras.

gaussian-process-based-model-predictive-control

Project for the course "Statistical Learning and Stochastic Control" at University of Stuttgart

gp-mpc

MPC with Gaussian Process

hfm

Hidden Fluid Mechanics

isat_ffd

a reduced order model trained by FFD simulations

lstm_rom_arxiv

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269

markup

Determines which markup library to use to render a content file (e.g. README) on GitHub

model-predictive-control

ETH Model Predictive Control Course

modelica-buildings

Modelica Buildings library

modelicagym

Modelica models integration with Open AI Gym

modred

Modred main repository

multiscale_hits

neural-network-from-scratch

A Neural Network implemented from scratch (using only numpy) in Python.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pod-rbf

Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network

radeonrays_sdk

Radeon Rays is ray intersection acceleration library for hardware and software multiplatforms using CPU and GPU

raven

RAVEN is a flexible and multi-purpose probabilistic risk analysis, uncertainty quantification, parameter optimization and data knowledge-discovering framework.

reinforcement-learning

Personal experiments on Reinforcement Learning

rl-testbed-for-energyplus

Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus