Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for deep learning fluid dynamics
deep-learning
x
fluid-dynamics
x
9 search results found
Pdebench
⭐
522
PDEBench: An Extensive Benchmark for Scientific Machine Learning
Jaxfluids
⭐
203
Differentiable Fluid Dynamics Package
Kinetic.jl
⭐
110
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Fluidnet_cxx
⭐
43
FluidNet re-written with ATen tensor lib
Rans Uncertainty
⭐
31
Uncertainty Quantification of RANS Data-Driven Turbulence Modeling
Awesome Physics Programming
⭐
20
😎 ☄️ Collection of the most awesome learning resources on physics programming in the form of videos, tutorials and frameworks.
Fsrn Cvpr2020
⭐
14
This codebase implements the system described in the paper: Dynamic Fluid Surface Reconstruction Using Deep Neural Network
Geometricvofcartesian
⭐
13
OpenFOAM library with conventional and machine-learning models for volume of fluid method
High Order Layers Torch
⭐
9
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.
Deep Turbulence
⭐
6
Multi-fidelity Generative Deep Learning Turbulent Flows
Related Searches
Python Deep Learning (18,788)
Jupyter Notebook Deep Learning (10,328)
Deep Learning Neural Network (5,801)
Deep Learning Pytorch (5,443)
Deep Learning Tensorflow (5,388)
Deep Learning Convolutional Neural Networks (3,932)
Deep Learning Neural (3,768)
Network Deep Learning (3,569)
Deep Learning Computer Vision (3,365)
Deep Learning Keras (3,258)
1-9 of 9 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.