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/autonomous-driving-book
A book for autonomous driving
YangyangFu/dynax
Dynax: A differentiable simulator for dynamical systems to support forward simulation, parameter inference, optimal control. and end-to-end learning
YangyangFu/transformer-time-series
A library to benchmark various transformer and non-transformer models on time series forcasting, imputation and abnormality detection
YangyangFu/awesome-visual-language-planning
Summary of awesome robotic planning and control using generative visual and language models
YangyangFu/letsleetcode-python
Let's LeetCode in Python. This is a repository for me to track my process of cracking leetcode in python.
YangyangFu/mpc-drl-tl
A paper plan for comparing MPC and DRL/TL in building control
YangyangFu/act-plus-plus
Imitation Learning algorithms with Co-traing for Mobile ALOHA: ACT, Diffusion Policy, VINN
YangyangFu/casadi-nets
Neural network library in casadi to support neural model-based control such as nonlinear model predictive control with higher-order optimizer
YangyangFu/deep-learning-jax
Deep learning notes
YangyangFu/energyplus-fmu-docker
YangyangFu/InterFuser
[CoRL 2022] InterFuser: Safety-Enhanced Autonomous Driving Using Interpretable Sensor Fusion Transformer
YangyangFu/isaac_ros_visual_slam
Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.
YangyangFu/m5-prediction
Time series prediction using M5 competition data.
YangyangFu/mlax
A library that implements classic machine learning algorithms in JAX
YangyangFu/motion-planning-cpp
CPP library that contains different motion planning algorithms
YangyangFu/motion-planning-python
Classic motion planning algorithm for autonoumous system in Python
YangyangFu/MTR
MTR: Motion Transformer with Global Intention Localization and Local Movement Refinement, NeurIPS 2022.
YangyangFu/nd013-c5-planning-starter
YangyangFu/nd013-c6-control-starter
YangyangFu/nuplan-devkit
The devkit of the nuPlan dataset.
YangyangFu/onnx2casadi
Reconstruct neural networks in CasADi from ONNX format
YangyangFu/Open-Sora-Plan
This project aim to reproduce Sora (Open AI T2V model), but we only have limited resource. We deeply wish the all open source community can contribute to this project.
YangyangFu/schedule_free
Schedule-Free Optimization in PyTorch
YangyangFu/self-driving-agents
YangyangFu/slam-practice
Practice SLAM applications
YangyangFu/Time-Series-Library
A Library for Advanced Deep Time Series Models.
YangyangFu/transbot
Transbot end-to-end learning
YangyangFu/tuplan_garage
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
YangyangFu/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
YangyangFu/yangyangfu.github.io
website