pyro-ppl/pyro

Port NumPyro introductory examples to Pyro

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#2,995 创建于 2021年12月14日

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Examplesgood first issuehelp wanted

描述

NumPyro now has several excellent introductory examples with no direct counterparts in Pyro. Porting one of these to Pyro would be a great way for someone to simultaneously learn more about Bayesian data analysis and make a valuable open source contribution.

If you are reading this and want to give one of them a try, please leave a comment here so that other people are aware of your work and so we can help you get started!

Bonus points if you can modify an example to use variational inference with Pyro's autoguides rather than MCMC while obtaining similar results.

List of examples:

贡献者指南

技术栈
pythonpytorch
领域
documentationmachine learning
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
PythonPyTorchBayesian inference
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
60
研究方向
This issue lists several NumPyro tutorials that need porting to Pyro. Some examples have already been claimed by users (e.g., Bayesian Regression by @arijc76 in PR #3006). To contribute, first choose an unassigned example from the list (e.g., Bayesian Hierarchical Regression or Bayesian Imputation). Study the NumPyro tutorial and Pyro's documentation, then create a new example in the Pyro repository. Optionally, modify the example to use variational inference with Pyro's autoguides instead of MCMC. Check existing comments and PRs to avoid duplication.