Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II.

SU2: An Open-Source Suite for Multiphysics Simulation and Design

An Aircraft Design Toolbox

Aircraft design optimization made fast through modern automatic differentiation. Plug-and-play analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.

OP2 port of MG-CFD. Provides MPI, full OpenMP, CUDA, OpenACC, OpenMP 4, and pairings of them.

Bayesian LSTM Implementation in PyTorch

Normalizing-flow Invertible Neural Networks (TensorFlow2+Keras)

An open source thermodynamic modeling package completed on behalf of NASA. The Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) package offers a MATLAB/Simulink toolbox that …

Topology optimization using PETSc: a Python wrapper and extended functionality

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

Parallel solver for thermal-fluid-structural topology optimization on structured grids.

MATLAB codes and source data for the experimental calibration of a UAV digital twin

ROS 2 packages that implement dynamic structural health monitoring for a UAV via structural digital twin, formulated using a probabilistic graphical model

A MATLAB tool for the mean-line design optimization of axial turbines

Physics-informed learning of governing equations from scarce data

Python code of the Method of Moving Asymptotes

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Transformer seq2seq model, program that can build a language translator from parallel corpus

deep learning for quantitative metallography

Application of Deep Reinforcement learning to RoboCup Rescue Simulator

Supplementary code to "A Fast and Calibrated Computer Model Emulator: An Empirical Bayes Approach"

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Implementation of Markov Chain Monte Carlo in Python from scratch

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

An educational resource to help anyone learn deep reinforcement learning.