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聚类

afno-transformer

Adaptive FNO transformer - official Pytorch implementation

d2l-zh

《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。

deeponet

Learning nonlinear operators via DeepONet

fourier-neural-operator

learning-python-physics-informed-machine-learning-pinns-deeponets

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

lhy_machine_learning

李宏毅2021/2022/2023春季机器学习课程课件及作业

lowranktrn

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

machine-learning

:zap: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

machine-learning-homework

聚类作业

neuraloperator

Learning in infinite dimension with neural operators.

pbdl-book

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

pde-based-image-processing

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

physics-informed-neural-networks

Investigating PINNs

pi-deeponet

Implementing a physics-informed DeepONet from scratch

pinn-wss

PINN for obtaining WSS from sparse data

prl

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

proceedings_ieee_companion_notebooks

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

tensorly-notebooks

Tensor methods in Python with TensorLy

uestc-course

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

uqpinns

xpinns

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