Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations

Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

Codes associated with the manuscript titled "Multi-stage neural networks: Function approximator of machine precision"

This is the code of my master thesis.

利用 Mindspore 和傅里叶神经算子（Fourier Neural Operator，FNO）求解一维伯格斯方程（1-d Burgers' equation）

用于求解薛定谔方程的数值解

ClimODE: Climate and Weather Forecasting With Physics-informed Neural ODEs

Source Code-Simple yet effective adaptive activation functions for physics-informed neural networks

PDE Preserved Neural Network

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

ADA-F (Anti-Derivatives Approximator from Fourier series expansion)

Pytorch implementation of Bayesian physics-informed neural networks

The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks

Physics Informed Neural Network solution for a 2nd order differential equation w/ forcing function

physics-informed neural network and inverse physics-informed neural network

🔨 跨域序列推荐（Cross-Domain Sequential Recommendation）的算法工具箱，旨在提供序列推荐、跨域推荐、跨域序列方法的baseline实现。目前本工具箱已包括TiSASRec、CoNet、PINet、MIFN这四种方法的实现。

基于netflix prize 和 H&M开源数据集，从零开始构建企业级推荐系统。

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

2024 年研究生数学建模 LaTeX 模板

This is our implementation of Towards Ubiquitous Personalized Music Recommendation with Smart Bracelets (IMWUT 2022)

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

由于官网的教程写得比较复杂，所以笔者写一个简单的例子

Best Practices on Recommendation Systems

TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset