NVIDIA / modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
☆1,045Updated this week
Related projects ⓘ
Alternatives and complementary repositories for modulus
- Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as high…☆193Updated this week
- ☆369Updated 8 months ago
- Computational Fluid Dynamics in JAX☆751Updated 3 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆772Updated 2 weeks ago
- ☆790Updated this week
- A differentiable PDE solving framework for machine learning☆1,487Updated this week
- Physics-Informed Neural networks for Advanced modeling☆392Updated this week
- Learning nonlinear operators via DeepONet☆542Updated 2 years ago
- Learning in infinite dimension with neural operators.☆2,124Updated last week
- PyTorch Implementation of Physics-informed Neural Networks☆540Updated 6 months ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆316Updated 5 months ago
- Using graph network to solve PDEs☆348Updated last year
- ☆231Updated last week
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆274Updated 6 months ago
- Differentiable Fluid Dynamics Package☆335Updated 2 months ago
- Initial public release of code, data, and model weights for FourCastNet☆538Updated last year
- Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric …☆952Updated this week
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆465Updated 3 weeks ago
- ☆283Updated last year
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, i…☆706Updated 4 months ago
- Investigating PINNs☆516Updated 3 years ago
- ☆233Updated 2 months ago
- Hidden Fluid Mechanics☆303Updated last year
- DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks☆207Updated 10 months ago
- ☆179Updated 3 months ago
- Must-read Papers on Physics-Informed Neural Networks.☆937Updated 11 months ago
- Welcome to the Physics-based Deep Learning Book (v0.2)☆1,001Updated 2 weeks ago
- A library for scientific machine learning and physics-informed learning☆2,764Updated this week
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆204Updated last month
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆258Updated 4 months ago