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Commit 7d0d4625 authored by zhuwenwen's avatar zhuwenwen
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update 1.1

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README.md
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...@@ -107,7 +107,7 @@ multimer.fasta为推理的多体序列，data为数据集下载路径，其他 ...@@ -107,7 +107,7 @@ multimer.fasta为推理的多体序列，data为数据集下载路径，其他
| fp32 | 单体 | T1053 | 580 | 0.941 | 0.789 | 92.316 | 0.985 | 0.935 | 1.1 | | fp32 | 单体 | T1053 | 580 | 0.941 | 0.789 | 92.316 | 0.985 | 0.935 | 1.1 |
| fp32 | 单体 | T1091 | 863 | 0.492 | 0.332 | 85.083 | 0.740 | 0.388 | 6.7 | | fp32 | 单体 | T1091 | 863 | 0.492 | 0.332 | 85.083 | 0.740 | 0.388 | 6.7 |
## 历史版本 ## 源码仓库及问题反馈
* https://developer.hpccube.com/codes/modelzoo/AlphaFold2 * https://developer.hpccube.com/codes/modelzoo/AlphaFold2
## 参考 ## 参考
* [https://github.com/deepmind/alphafold](https://github.com/deepmind/alphafold) * [https://github.com/deepmind/alphafold](https://github.com/deepmind/alphafold)
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model.properties
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...@@ -3,6 +3,6 @@ modelName=AlphaFold2_Jax ...@@ -3,6 +3,6 @@ modelName=AlphaFold2_Jax
# 模型描述 # 模型描述
modelDescription=AlphaFold2是一个用于预测蛋白质三维结构的深度学习模型 modelDescription=AlphaFold2是一个用于预测蛋白质三维结构的深度学习模型
# 应用场景(多个标签以英文逗号分割) # 应用场景(多个标签以英文逗号分割)
appScenario=NLP,蛋白质结构预测,推理 appScenario=推理,NLP,蛋白质结构预测
# 框架类型(多个标签以英文逗号分割) # 框架类型(多个标签以英文逗号分割)
frameType=Jax,TensorFlow frameType=Jax,TensorFlow
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