Learn2Learn's repositories
autoreg-pde-diffusion
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
finitevolume-python
Finite Volume simulation of the Kelvin-Helmholtz Instability
PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
awesome-implicit-representations
A curated list of resources on implicit neural representations.
Castro
Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.
ChatGPT-Next-Web
One-Click to deploy your own ChatGPT web UI. 一键拥有你自己的 ChatGPT 网页服务。
FLOWUnsteady
An interactional aerodynamics and acoustics solver for multirotor aircraft and wind energy
FluidX3D
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL. Free for non-commercial use.
FPDE
FPDE, a sourrgate constraint of PINN
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
J-PIKAN
Jacobian Orthogonal Polynomial-based Physics-Informed Kolmogorov-Arnold Network for fluid dynamics
jax-cfd
Computational Fluid Dynamics in JAX
jinns
Physics Informed Neural Networks (PINNs) and Separable PINNs (SPINNs) with JAX 📓 Check out our various notebooks to get started ⚠️ Mirror repository of jinns (development happens on Gitlab)
KatzPlotkinPy
Python companion to Low Speed Aerodynamics by Joseph Katz and Allen Plotkin
machine-learning-and-simulation
All the handwritten notes 📝 and source code files 🖥️ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)
machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
NeuralFoil
NeuralFoil is an airfoil aerodynamics analysis tool using physics-informed machine learning, in pure Python/NumPy.
NeuralPDE.jl
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
PhiFlow
A differentiable PDE solving framework for machine learning
spectralDNS
Spectral Navier Stokes (and similar) solvers in Python
Tutorial-Gaussian-Process-Regression
This repository illustrates the inner workings of Gaussian Process Regression using only NumPy for demonstration purposes.