Jameshin

TransUnet

This repo reproduces the results of TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

Unity-Script-Collection

A maintained collection of useful & free unity scripts / library's / plugins and extensions

latticeboltzmann-python

Lattice Boltzmann fluid simulation

FDS-to-unreal

Various snippets to interact between fire simulation results and VTK/blender/Unreal

SPlisHSPlasH

SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.

ReinforcementLearning_byWonseok

강화학습의 거의 모든 것

Unity_ML_Agents_Tutorial

awesome-ocr

papers about ocr

THT-CNN

Prediction of turbulent heat transfer using convolutional neural networks (CNNs)

Physics-Based-Deep-Learning

Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond

TEGAN

Generative Adversarial Network (GAN) for physically realistic enrichment of turbulent flow fields

Python-B-spline-examples

Examples in Python about plotting and interpolating a B-spline curve and their comparison using Numpy, Scipy and Matplotlib.

point-cloud-utils

An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

vedo

A python module for scientific analysis of 3D data based on VTK and Numpy

Uintah-MPMICE

This is a fluid-structure software package for high-resolution studies of flow physics and structural mechanics.

deepxde

A library for scientific machine learning and physics-informed learning

ROM_code

Numerical tool for Construction of Reduced-order models for fluid flows.

Panel_Methods

Source and vortex panel method codes referenced in my YouTube videos.

PDE-FIND

modred

Modred main repository

SU2

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

deeplearning-models

A collection of various deep learning architectures, models, and tips

prml

PRML study (pattern recognition & machine learning, Bishop)

summer-academy-2017

from-python-to-numpy

An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017

Graph-neural-networks