Stars
A single file VOF fluid solver implementation in Taichi.
Time series forecasting with PyTorch
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supportin…
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
Learning in infinite dimension with neural operators.
Different neural operators for various numerical experiments
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
The MUlticomponent Thermodynamic And Transport library for IONized gases in C++
Riemann Solvers and Numerical Methods for Fluid Dynamics.
A large-scale benchmark for machine learning methods in fluid dynamics
DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks
OpenFOAM Foundation development repository
Tioga is a library for overset grid assembly on parallel distributed systems
nanoflann: a C++11 header-only library for Nearest Neighbor (NN) search with KD-trees
Complex Langevin code to compute properties of nonrelativistic, harmonically trapped, rotating, and interacting bosons.
A parallel, adaptive mesh refinement (AMR) code that solves the variable-density incompressible Navier-Stokes equations.
A simple horizontal-axis wake model based on a Gaussian distribution
iVABS is a VABS-based design framework for composite beams including helicopter rotor blades, wind turbine blades, high aspect ratio wings, etc.
CACTUS (Code for Axial and Cross-flow TUrbine Simulation) is a turbine performance simulation code, based on a free wake vortex method, to study wind turbines and marine hydrokinetic (MHK) devices.