Stars
Hydrodynamics Adaptive Mesh Refinement Simulator (HAMeRS) for compressible multi-species/multi-phase simulations
Scalable Heterogeneous-Parallel Linear Solver for Compact-Banded Systems
Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy
A differentiable PDE solving framework for machine learning
AeroSpace is an i3-like tiling window manager for macOS
Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.
An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.
Framework providing pythonic APIs, algorithms and utilities to be used with PhysicsNeMo core to physics inform model training as well as higher level abstraction for domain experts
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Flow Physics and Aeroacoustics Toolbox with Python