[D] What framework are you using?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com
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CodeRabbit: AI Code Reviews for Developers
Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
coderabbit.ai
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  1. Killed by Google

    Part guillotine, part graveyard for Google's doomed apps, services, and hardware.

  2. InfluxDB

    InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.

    InfluxDB logo
  3. oneflow

    OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

    No other options?:) We are developing a new distributed DL framework called OneFlow, which is faster than other frameworks and easier to use. Now it provides more and better PyTorch compatible APIs.

  4. Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go.

    I use Gorgonia.

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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Did you know that Go is
the 4th most popular programming language
based on number of references?