[p] OCTIS: Optimizing and Comparing Topic models Is Simple. Our new python framework to compare and optimize topic models using Bayesian Optimization

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
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Civic Auth - Simple auth for Python backends
Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.
www.civic.com
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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
www.influxdata.com
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  1. OCTIS

    OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

  2. Civic Auth

    Simple auth for Python backends. Drop Civic Auth into your Python backend with just a few lines of code. Email login, SSO, and route protection built-in. Minimal config. Works with FastAPI, Flask, or Django.

    Civic Auth logo
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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  • OCTIS a python framework to compare and optimize Topic Models

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  • OCTIS, our new python framework to optimize and compare topic models has been accepted at EACL2021!

    1 project | /r/learnmachinelearning | 19 Apr 2021

  • (NLP) Best practices for topic modeling and generating interesting topics?

    3 projects | /r/MLQuestions | 31 May 2021

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