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This is the source code for paper “Automatic Network Structure Discovery of Physics Informed Neural Networks via Knowledge Distillation”
A DRL training framework based on knowledge of UDS RTC for flooding and CSO mitigation.
Official Implementation of "Maximum Likelihood Reinforcement Learning (MaxRL)"
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/s…
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
深度学习入门2：自制框架-随书代码
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
FlowBench: A Flexible Flow Table Benchmark for Comprehensive Algorithm Evaluation
Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonlinear Partial Differential Equations
AI-Powered Python & Python-Powered AI (Python-Use)
Author's PyTorch implementation of TD3 for OpenAI gym tasks
Translation of C++ Core Guidelines [https://github.com/isocpp/CppCoreGuidelines] into Simplified Chinese.
Simple PyTorch Implementation of Physics Informed Neural Network (PINN)
A library for Koopman Neural Operator with Pytorch.
A hydraulic surrogate model and real-time control methods of urban drainage networks.
pyOpenFOAM is a Python-based Computational Fluid Dynamics (CFD) library implementing the Finite Volume Method (FVM), designed for simulating fluid flow and heat transfer phenomena based on the prin…
flowTorch - a Python library for analysis and reduced-order modeling of fluid flows
A library for scientific machine learning and physics-informed learning
Use Koopman emulator to train RLs
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
FiPy is a Finite Volume PDE solver written in Python