neuron-explorer
Qwen3.5‑4B 전용 조향형 뉴런 탐색기, 모든 MLP 뉴런을 밀어 결과를 보관·탐색
과학습용 PINN 솔버, 편미분 방정식 가속 시뮬레이션
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
개발 도구JuliaGitHub @SciML직접 설치운영자 미확인
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README 전체를 불러오는 중입니다. 아래는 저장된 발췌입니다.
NeuralPDE.jl is a solver package which consists of neural network solvers for
partial differential equations using physics-informed neural networks (PINNs). This package utilizes
neural stochastic differential equations to solve PDEs at a greatly increased generality
compared with classical methods.
Assuming that you already have Julia correctly installed, it suffices to install NeuralPDE.jl in the standard way, that is, by typing ] add NeuralPDE. Note:
to exit the Pkg REPL-mode, just press Backspace or Ctrl + C .README 전문 보기 ↗지금 README 전체를 불러올 수 없습니다. 원문 링크에서 읽을 수 있습니다. 아래는 저장된 발췌입니다.
NeuralPDE.jl is a solver package which consists of neural network solvers for
partial differential equations using physics-informed neural networks (PINNs). This package utilizes
neural stochastic differential equations to solve PDEs at a greatly increased generality
compared with classical methods.
Assuming that you already have Julia correctly installed, it suffices to install NeuralPDE.jl in the standard way, that is, by typing ] add NeuralPDE. Note:
to exit the Pkg REPL-mode, just press Backspace or Ctrl + C .README 전문 보기 ↗