Rxinfer: Automatic Bayesian Inference Through Reactive Message Passing

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • infer

    Infer.NET is a framework for running Bayesian inference in graphical models (by dotnet)

  • A closer library is Infer.NET: https://dotnet.github.io/infer

    It includes a really mature compiler that generates very efficient message passing and variational inference, with support for online inference, which is the main focus on Rxinfer.

    You can call Infer.NET from Python in a number of ways, despite it is not a CPython library.

  • 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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NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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