物理信息神经网络(PINN)科学机器学习(SciML)加速模拟的(偏)方程解算器
scientific-ml 开源项目推荐(68 个)
scientific-ml 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。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 68 个仓库预构建隐式层架构,采用O(1)反向推进、GPU和stiff+non刚性微分方程求解器,展示了科学机器学习(SciML)和物理知情机器学习方法
Automatic Finite Difference PDE solving with Julia SciML
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Taylor mode automatic differentiation (jets) in PyTorch
Code Repository for the paper "Mechanistic Neural Networks for Scientific Machine Learning", ICML 2024
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting
NVIDIA PhysicsNeMo 中文教程书 · 8 章 + 4 附录 · PINN 与神经算子三种实现(裸 PyTorch / SDK / GPU production)
DDPM-based U-Net transformer for fluid dynamics prediction, reproducing and extending DiffFluid. Validated on Navier-Stokes vorticity and Lattice Boltzmann (D2Q9) with corrected noise-prediction loss formulation.
Published PyPI package for ArXiv embedding benchmarks, retrieval evaluation, and scientific RAG experiments.
Structured ecosystem of 190+ AI systems spanning foundation models, agentic reasoning, reinforcement learning, generative architectures, scientific ML, and self-evolving neural systems. A research-driven lab exploring scalable intelligence.
Neural ODE-based State of Charge (SOC) estimation for Li-ion batteries using the NASA Battery Dataset. Built as a weekend project to explore learned dynamics for battery modeling, with visualizations designed for engineering audiences.
AI-assisted simulation pre-processing tool that validates STEP/IGES files for FEA readiness, auto-heals geometry, and generates mesh recommendations
This project measures whether Cl(3,0) geometric algebra layers bring anything beyond exact SO(3) equivariance on small synthetic 3D vector tasks.
Physics-informed neural network solving Maxwell's equations in ICP reactors. Hard BC ansatz, transfer learning across geometries, autograd sensitivity maps. 1700× faster than FEM. Built with NVIDIA Modulus + PyTorch.
live seismic-data ML pipeline
Recovers Burgers viscosity from 32 sparse sensors at 3.4% error vs 34.9% closed-form, on 30 hard out-of-distribution cases. CPU PINN sandbox + live demo.
Parametric PINN surrogate for flow over cylinders — 95% accuracy, 95%+ CFD speedup, <50ms inference
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 20 个项目;原始页面见 https://github.com/topics/scientific-ml。
- 该话题在 GitHub 上共有 68 个仓库, 本站收录的是其中最热门的 20 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 20 个项目累计 2801 Star,覆盖 4 种主要语言,数据更新于 2026-11-11。
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