Top 6 Python variational-inference Projects
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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SelSum
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
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microbiome-mvib
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
Mostly I use pytorch for statistical modeling https://pyro.ai . Under the hood that package uses a lot of Monte Carlo integration and variational methods (i.e. integration by optimization). It does support neural nets, but probably >80% of pyro users stick to simpler hierarchical Bayesian models.
Python variational-inference related posts
Index
What are some of the best open-source variational-inference projects in Python? This list will help you:
Project | Stars | |
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1 | pyro | 8,356 |
2 | PyMC | 8,155 |
3 | GPflow | 1,794 |
4 | awesome-normalizing-flows | 1,300 |
5 | SelSum | 44 |
6 | microbiome-mvib | 25 |
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