文件名称：amsi:基于任意边际仿真的推理
文件大小：20KB
文件格式：ZIP
更新时间：2024-04-14 17:03:49
inference likelihood-ratio simulation-based-inference Python
基于任意边际模拟的推理 参考 @article { hermans2019likelihood , title = { Likelihood-free MCMC with Amortized Approximate Ratio Estimators } , author = { Hermans, Joeri and Begy, Volodimir and Louppe, Gilles } , journal = { arXiv preprint arXiv:1903.04057 } , year = { 2019 } } @article { li2019flow , title = { Flow Models for Arbitrary Conditional Likelihoods } , author = { Li, Yang and Akbar, Shoai
【文件预览】：
amsi-master
----environment.yml(277B)
----python()
--------eval.py(6KB)
--------train.py(6KB)
--------amsi()
--------histograms.py(4KB)
--------samples.py(2KB)
----.gitignore(2KB)
----README.md(514B)
----.gitattributes(120B)