{"blog_url":"https://noconocolib.hatenablog.com/","description":"PyTorch\u3068\uff0c\u78ba\u7387\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0\u30d5\u30ec\u30fc\u30e0\u30ef\u30fc\u30af\u3067\u3042\u308bPyro\u3092\u7528\u3044\u3066\u30d9\u30a4\u30b8\u30a2\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3092\u8a66\u3057\u3066\u307f\u308b\uff0e Pyro Uber AI Labs\u306b\u3088\u3063\u3066\u958b\u767a\u304c\u884c\u308f\u308c\u3066\u3044\u308b github link blog post Pyro is a flexible, scalable deep probabilistic programming library built on PyTorch. Notably, it was designed with these principles in mind: Universal: Pyro is a universal PPL -- it can\u2026","image_url":"https://cdn-ak.f.st-hatena.com/images/fotolife/n/noconocolib/20190101/20190101155355.png","version":"1.0","provider_name":"Hatena Blog","type":"rich","published":"2019-01-01 16:01:00","height":"190","author_name":"noconocolib","width":"100%","title":" PyTorch\u3068Pyro\u3067\u30d9\u30a4\u30b8\u30a2\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af","categories":["\u78ba\u7387\u7684\u30d7\u30ed\u30b0\u30e9\u30df\u30f3\u30b0","Pyro","Bayesian NNs","PyTorch"],"html":"<iframe src=\"https://hatenablog-parts.com/embed?url=https%3A%2F%2Fnoconocolib.hatenablog.com%2Fentry%2F2019%2F01%2F01%2F160100\" title=\" PyTorch\u3068Pyro\u3067\u30d9\u30a4\u30b8\u30a2\u30f3\u30cb\u30e5\u30fc\u30e9\u30eb\u30cd\u30c3\u30c8\u30ef\u30fc\u30af - \u6cb9\u3092\u58f2\u308b\" class=\"embed-card embed-blogcard\" scrolling=\"no\" frameborder=\"0\" style=\"display: block; width: 100%; height: 190px; max-width: 500px; margin: 10px 0px;\"></iframe>","author_url":"https://blog.hatena.ne.jp/noconocolib/","provider_url":"https://hatena.blog","url":"https://noconocolib.hatenablog.com/entry/2019/01/01/160100","blog_title":"\u6cb9\u3092\u58f2\u308b"}