yimingzhang521 Goto Github PK

aerosandbox

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

alphazero_gomoku

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

asm

au-turbom

Problems from the Turbomachinery (F-METURBO-E21) course at Aarhus University

awesome-industrial-machine-datasets

axialopt

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

bayesianlstm

Bayesian LSTM Implementation in PyTorch

bhpm-ultrasound

cdl-digital-twin

Simulate a 6-DOF (degrees of freedom) pick and place unit with Blender and MQTT and control the unit from your web browser.

convgp

Convolutional Gaussian processes based on GPflow.

deep-gaussian-process

🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0

dl-microstructures

deep learning for quantitative metallography

eb_calibration

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

emukit

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

eqdiscovery

Physics-informed learning of governing equations from scarce data

evtol

Codes related to the analysis, design, and optimization of on-demand, electric vertical-takeoff-and-landing aircraft. A preprint of an upcoming paper based on these codes is available at the website

fbhale

FBHALE provides a conceptual multidisciplinary design framework for high altitude long endurance (HALE) aircraft development.

gadmcmc

Gradient-based Adaptive Markov chain Monte Carlo

gcmma-mma-python

Python code of the Method of Moving Asymptotes

invertible_neural_networks

Normalizing-flow Invertible Neural Networks (TensorFlow2+Keras)

irl-imitation

Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

learning-to-drive-in-5-minutes

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

maddpg

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

maddpg_tennis

Project 3 of Udacity Deep Reinforcement Learning

mcmc

Implementation of Markov Chain Monte Carlo in Python from scratch

mg-cfd-app-op2

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

mini-alphastar

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

mto

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

multiagent-particle-envs

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

predictive-maintenance-of-aircraft-engine

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