Physics Informed Machine Learning Tutorials (Pytorch and Jax)

physicsinformedneuralnetworks 开源项目推荐(6 个)
physicsinformedneuralnetworks 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
6收录项目
714Star 总量
3覆盖语言
相关标签
热门项目 全部 6
GitHub 共 6 个仓库,已全部展示jdtoscano94 /NABLA-SciML
Jupyter Notebook687
hverma99 /pinnse
A modular PyTorch framework for developing physics-informed neural network surrogate models for chemical process modeling, simulation, and process systems engineering.
Python23
gnodking7 /PINN-California-Delta
California-Delta estuary salinity estimation by PINN
Jupyter Notebook3
Deepmalya2506 /Lattice
LATTICE - Large-scale Analysis and Trans-oceanic Transport Intelligence Control Engine
Jupyter Notebook1
ahmedanees-m /QuBiS-HiQ
QuBiS-HiQ is a physics-informed quantum circuit that encodes SantaLucia nearest-neighbour DNA thermodynamic parameters into gate angles and extracts feature vectors via Pauli-Z expectation values.
Python0
HiddenGarc /Shift-Appens-VirtualWatrening
An autonomous watering system was developed using both physical and virtual sensors for the optimisation of water and energy consumption.
HTML0
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 6 个项目;原始页面见 https://github.com/topics/physicsinformedneuralnetworks。
- 该话题在 GitHub 上共有 6 个仓库, 本站收录的是其中最热门的 6 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 6 个项目累计 714 Star,覆盖 3 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。