电子科技大学课程资料共享平台. Course material sharing platform of UESTC.

PINN for obtaining WSS from sparse data

Learning in infinite dimension with neural operators.

Deep Physics-Guided Unrolling Generalization for Compressed Sensing (IJCV 2023) [PyTorch]

Welcome to the Physics-based Deep Learning Book (v0.2)

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Implementing a physics-informed DeepONet from scratch

李宏毅2021/2022/2023春季机器学习课程课件及作业

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。

Tensor methods in Python with TensorLy

Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations

Adaptive FNO transformer - official Pytorch implementation

⚡机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Learning nonlinear operators via DeepONet

Investigating PINNs

TensorLy code for the IEEE special issue on tensor methods for DL and CV

Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"

Partial differential equation (PDE) based image processing methods including optical flow, stereo disparity and segmentation.