YangyangFu
I'm a PhD in engineering and I love training neural networks for autonomy.
Texas A$M University
Pinned Repositories
autonomous-driving-book
A book for autonomous driving
awesome-visual-language-planning
Summary of awesome robotic planning and control using generative visual and language models
dspace-modelica-example
Modelica example model for hardware-in-the-loop using dSpace
dynax
Dynax: A differentiable simulator for dynamical systems to support forward simulation, parameter inference, optimal control. and end-to-end learning
fmu_drl_docker
Docker file for OpenAI gym, pyTorch and jModelica. This is the virtual environment for deep reinforcement learning control on a Modelica/EnergyPlus environment.
modelica-tutorial
A tutorial repo for modeling, simulation and optimization in Modelica/FMU environments. The tutorials are mostly developed for thermal fluid systems if complex nonlinear systems need to be studied.
mpc-drl-tl
A paper plan for comparing MPC and DRL/TL in building control
prompt-control
ChatGPT for dynamic system control planning, supporting openAI Gym, Docker, EnergyPlus, etc,
SGA
Surrogate-assisted Genetic Algorithm
transformer-time-series
A library to benchmark various transformer and non-transformer models on time series forcasting, imputation and abnormality detection
YangyangFu's Repositories
YangyangFu/gym
A toolkit for developing and comparing reinforcement learning algorithms.
YangyangFu/active-learning
YangyangFu/AMPL_Python
A bridge between AMPL and Python allowing users to define external functions in Python and use those functions inside AMPL models.
YangyangFu/ashrae-great-energy-predictor-3-solution-analysis
Analysis of all ML models
YangyangFu/BeSim
Building Energy Simulation (BeSim) toolbox for user-friendly and fast development and simulation of advanced building climate controllers in Matlab.
YangyangFu/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
YangyangFu/chainerrl
ChainerRL is a deep reinforcement learning library built on top of Chainer.
YangyangFu/CityLearn
YangyangFu/CMU-DRL-2020
home page for the resources: https://cmudeeprl.github.io/Spring202010403website/lectures/
YangyangFu/coding-interview-university
A complete computer science study plan to become a software engineer.
YangyangFu/data-science-book
YangyangFu/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
YangyangFu/Deep-Q-Learning-Paper-To-Code
YangyangFu/docker-ubuntu-jmodelica
Dockerfile that is used for the JModelica regression testing of the Buildings library and of BuildingsPy
YangyangFu/docker_openai_gym
A Docker image for using openai gym with pytorch
YangyangFu/evap-cooler
YangyangFu/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
YangyangFu/FMIKit-Simulink
Import and export Functional Mock-up Units with Simulink
YangyangFu/GAN_Review
A Survey and Taxonomy of the Recent GANs Development
YangyangFu/GRASSMARLIN
Provides situational awareness of Industrial Control Systems (ICS) and Supervisory Control and Data Acquisition (SCADA) networks in support of network security assessments. #nsacyber
YangyangFu/JModelica
JModelica is a software platform based on the Modelica modeling language for modeling, simulating, optimizing and analyzing complex dynamic systems.
YangyangFu/modelica-ibpsa
Modelica library for building and district energy systems developed within IBPSA Project 1
YangyangFu/Modelica_Synchronous
Free (standard conforming) library to precisely define and synchronize sampled data systems with different sampling rates. It provides convenient to use blocks to utilize the new synchronous language elements introduced in Modelica 3.3.
YangyangFu/MPCPy
Open-source platform for model predictive control (MPC) in buildings.
YangyangFu/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
YangyangFu/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
YangyangFu/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
YangyangFu/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
YangyangFu/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
YangyangFu/tutorials
PyTorch tutorials.