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Start building LLM-empowered multi-agent applications in an easier way.
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
A machine learning boosted parallel-in-time differential equation solver framework.
ModelScope-Agent: An agent framework connecting models in ModelScope with the world
Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
Introduction to declarative PDE solvers
Python package for solving partial differential equations using finite differences.
A flexible framework for solving PDEs with modern spectral methods.
FiPy is a Finite Volume PDE solver written in Python
A large-scale benchmark for machine learning methods in fluid dynamics
PDEBench: An Extensive Benchmark for Scientific Machine Learning
A deep learning empowered open-source platform for reacting flow simulations
This Python script solves the Navier-Stokes equations using Physics-Informed Neural Network. This approach enables the modeling of fluid dynamics problems by learning the velocity field and pressur…
🌊 Framework for studying fluid dynamics with numerical simulations using Python (publish-only mirror). The main repo is hosted on https://foss.heptapod.net (Gitlab fork supporting Mercurial).
Lecture material for machine learning applied to computational fluid mechanics
A Computational Fluid Dynamics (CFD) course with Python
kinds of reinforcement learning model by Pytorch
Code repository for paper "Rapid Spatio-Temporal Flood Modelling via Hydraulics-Based Graph Neural Networks"
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Transient simulation in water networks using MOC method.
Water Hammer MOC Program in EcosimPro
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A Library for Advanced Deep Time Series Models.
A differentiable PDE solving framework for machine learning