pydelfi:神经密度估计器的密度估计无似然推理和模拟的自适应获取-源码

上传者: 42134117 | 上传时间: 2021-08-30 23:04:44 | 文件大小: 24.21MB | 文件类型: ZIP
皮德尔菲 使用神经密度估计器和模拟的自适应采集,进行无密度估计的无似然推理。 已实现的方法在中进行了详细描述,并且紧密基于 , 和 。 如果您使用此代码,请引用这些文件! 安装: 该代码在python3中。 Tensorflow 1(最稳定,请参见下文)和Tensorflow 2版本可以按以下方式安装: Tensorflow 1(稳定) 可以在master分支上找到它,并具有以下依赖关系: (<= 1.15) (> = 3.0.2) (如果需要MPI) 您可以通过以下方式安装要求和此软件包, pip install tensorflow==1.15 pip install git+https://github.com/justinalsing/pydelfi.git ( tensorflow-gpu==1.15用于GPU加速而不是tensorflow==1.15 )

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