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Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
A Recurrent Neural Network Toolbox for Python and Matlab
Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order models of the system dynamics.
This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"
Code of single-image 3D reconstruction "Neural 3D Mesh Renderer" by H. Kato, Y. Ushiku, and T. Harada.
MeshNet: Mesh Neural Network for 3D Shape Representation (AAAI 2019)
Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020
fheroes2 is a recreation of Heroes of Might and Magic II game engine.
C++/CUDA/OpenMP based Smoothed Particle Hydrodynamics (SPH) Solver
SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on…
Fluid dynamics component of Chemical Engineering Design Library (ChEDL)
A tool for analyzing transient and equilibrium behaviour of thermal networks
A 1D heat conduction solver using Finite Difference Method and implicit backward Euler time scheme
Python script to download all Springer books released for free during the 2020 COVID-19 quarantine