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NeuralCAE-book
NeuralCAE-book PublicAI并不神秘——一个CAE工程师的拆解 | Demystifying AI: An Engineer's Deconstruction | 系列文章合集,免费下载 | CC BY-NC-ND 4.0
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NeuralCAE-experiments
NeuralCAE-experiments PublicPhysical AI exploration by a CAE engineer: MeshGraphNet, FNO, PyG experiments. Companion code for the "AI Demystification" series.
Python 2
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physicsnemo
physicsnemo PublicForked from NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
Python 1
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NPM-Weibull-public
NPM-Weibull-public PublicTwo-parameter Weibull lens on transformer weights (shape k, scale λ): 7-family benchmark, AdamW training dynamics (three-force λ evolution), a data-predictability law for λ growth, and a 76-run gri…
Python 2
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