DeepINN

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)

[ICLR 2025] Official implementation of Posterior-Mean Rectified Flow: Towards Minimum MSE Photo-Realistic Image Restoration

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

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)

IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.