Popular GitHub Repositories for Fluid

Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)

A differentiable PDE solving framework for machine learning

PDEBench: An Extensive Benchmark for Scientific Machine Learning

Computational Fluid Dynamics in JAX

Differentiable Fluid Dynamics Package

A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks

Code repository for "Lagrangian Fluid Simulation with Continuous Convolutions", ICLR 2020.

A large-scale benchmark for machine learning methods in fluid dynamics

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

This is an on-CPU real-time conversational system for two-way speech communication with AI models, utilizing a continuous streaming architecture for fluid conversations with immediate responses and natural interruption handling.

compressing physics with neural networks

A pytorch implementaion of physics informed neural networks for two dimensional NS equation

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

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

Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."

Official implementation of Diffusion Graph Networks (DGNs)

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.

AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)

[CVPR 2025 Oral] FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video

Multi-fidelity Generative Deep Learning Turbulent Flows