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说明文档

Spec2Class 二分类模型，用于基于 LC-MS/MS 谱图预测植物代谢物的化学类别。
该模型由魏茨曼科学研究所 Asaph Aharoni 教授和 David Zeevi 博士的实验室开发。

VickiPol/binary_models_onnx_format

作者 VickiPol

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创建时间: 2023-04-20 13:20:57+00:00

更新时间: 2023-05-15 12:35:09+00:00

在 Hugging Face 上查看

文件 (45)

.gitattributes

README.md

trained_model_Aminosugars and aminoglycosides.onnx ONNX

trained_model_Anthranilic acid alkaloids.onnx ONNX

trained_model_Apocarotenoids.onnx ONNX

trained_model_Aromatic polyketides.onnx ONNX

trained_model_Chromanes.onnx ONNX

trained_model_Coumarins.onnx ONNX

trained_model_Cyclic polyketides.onnx ONNX

trained_model_Diarylheptanoids.onnx ONNX

trained_model_Diterpenoids.onnx ONNX

trained_model_Fatty Acids and Conjugates.onnx ONNX

trained_model_Fatty acyl glycosides.onnx ONNX

trained_model_Fatty acyls.onnx ONNX

trained_model_Fatty amides.onnx ONNX

trained_model_Fatty esters.onnx ONNX

trained_model_Flavonoids.onnx ONNX

trained_model_Histidine alkaloids.onnx ONNX

trained_model_Isoflavonoids.onnx ONNX

trained_model_Lignans.onnx ONNX

trained_model_Lysine alkaloids.onnx ONNX

trained_model_Macrolides.onnx ONNX

trained_model_Meroterpenoids.onnx ONNX

trained_model_Monoterpenoids.onnx ONNX

trained_model_Naphthalenes.onnx ONNX

trained_model_Nicotinic acid alkaloids.onnx ONNX

trained_model_Nucleosides.onnx ONNX

trained_model_Oligopeptides.onnx ONNX

trained_model_Ornithine alkaloids.onnx ONNX

trained_model_Peptide alkaloids.onnx ONNX

trained_model_Phenolic acids (C6-C1).onnx ONNX

trained_model_Phenylethanoids (C6-C2).onnx ONNX

trained_model_Phenylpropanoids (C6-C3).onnx ONNX

trained_model_Phloroglucinols.onnx ONNX

trained_model_Pseudoalkaloids.onnx ONNX

trained_model_Saccharides.onnx ONNX

trained_model_Sesquiterpenoids.onnx ONNX

trained_model_Small peptides.onnx ONNX

trained_model_Steroids.onnx ONNX

trained_model_Stilbenoids.onnx ONNX

trained_model_Styrylpyrones.onnx ONNX

trained_model_Triterpenoids.onnx ONNX

trained_model_Tryptophan alkaloids.onnx ONNX

trained_model_Tyrosine alkaloids.onnx ONNX

trained_model_Xanthones.onnx ONNX