This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Descent"

A physics-informed neural network for battery SOH estimation

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Asymptotic proximal point methods (APP)

The official implementation of “Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training”

Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.

Non-adaptive and residual-based adaptive sampling for PINNs

PyTorch Implementation of Physics-informed Neural Networks

PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations

Basic implementation of physics-informed neural network with pytorch.

Must-read Papers on Physics-Informed Neural Networks.

Demo code for PPINN paper: https://www.sciencedirect.com/science/article/pii/S0045782520304357

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

gPINN: Gradient-enhanced physics-informed neural networks

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

A library for scientific machine learning and physics-informed learning

Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

中南大学学术论文LaTex模板。Central South University Thesis LaTeX Template.

The code for Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval (ICCV 2019)