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A Physics-informed neural network (PINN) library.
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration
Code accompanying my blog post: So, what is a physics-informed neural network?
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.
Operator Discretization Library https://odlgroup.github.io/odl/
Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)
A Physics Informed Neural Network made using PyTorch