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    The best alternatives to DVC are ML Showcase, Machine Learning Playground, and Ango Hub. If these 3 options don't work for you, we've listed a few more alternatives below.
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    • Every day, interesting machine learning projects get posted to GitHub, but they soon disappear into the abyss if you're not quick to bookmark them. I've created a small collection of ML projects that stood out to me from HN, reddit, and GitHub. Preference was given to open source projects witht an online demo. Let me know if I missed any!
    • A demo inspired by the Tensorflow playground, but a bit broader in depth and with more customization. Believe it or not, there was a period of time where not everything in Machine Learning was Deep Learning - and this site covers a good amount of traditional methods that are still quite relevant today. Feedback is welcome!
    • All-in-one platform for massive-scale automated and collaborative data labeling. Ango Hub combines the best of automation & collaboration into a plugin based architecture. Annotate and manage all of your unstructured data with AI assistance and custom plugins.
    • Unlock your potential with Kahana - transform your unique expertise into revenue, achieving 10X faster results than the average online monetization journey.
    • Web-base annotation platform for sharing and creating datasets at any scale.
    • QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. QuickAI can reduce what would take tens of lines of code into 1-2 lines. This makes fast experimentation very easy and clean.