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AI · alternatives · 2026

24 alternatives to 🤖 Machine Learning Experiments

See how models were trained 🏋️and try them in browser 🎨

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. 🤖 Machine Learning Experiments launched in 2020; newer entries below may have overtaken it.

  1. 1

    Explore machine learning by playing w/ pics, music, and more

    2016 · labs.google · its alternatives →

  2. 2

    Python examples with interactive demos

    2018 · github.com · its alternatives →

  3. 3

    A curated collection of machine learning projects

    2017 · its alternatives →

  4. 4

    python notebooks for revising machine learning basics - paruby/ml-basics

    2018 · github.com · its alternatives →

  5. 5

    Make powerful, interactive machine learning visualizations

    2020 · wandb.ai · its alternatives →

  6. 6

    2020 · colab.research.google.com · its alternatives →

  7. 7

    Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

    2024 · github.com · its alternatives →

  8. 8

    Machine Learning Experiments based on Git

    2021 · studio.datachain.ai · its alternatives →

  9. 9

    Turn YouTube videos, docs & websites into content that wins

    2025 · notebooks.app · its alternatives →

  10. 10

    :speech_balloon: Machine Learning Course with Python: - GitHub - instillai/machine-learning-course: :speech_balloon: Machine Learning Course with Python:

    2019 · github.com · its alternatives →

  11. 11ML
  12. 12

    Breathtaking visuals for learning ML techniques.

    2017 · ml-playground.com · its alternatives →

  13. 13

    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

  14. 14IT

    Experiments in expressing statistical thinking with interactive design

    2015 · r2d3.us · its alternatives →

  15. 15

    Boltzmann Machines in TensorFlow with examples. Contribute to yell/boltzmann-machines development by creating an account on GitHub.

    2017 · github.com · its alternatives →

  16. 16
    Lime AI▲89

    Create Jupyter notebooks with AI

    2023 · datalimeai.com · its alternatives →

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  18. 18AV

    Discussions: Hacker News (63 points, 8 comments), Reddit r/programming (312 points, 37 comments) Translations: Arabic, French, Spanish Update: Part 2 is now live: A Visual And Interactive Look at Basic Neural Network Math Motivation I’m not a machine learning expert. I’m a software engineer by train

    2016 · jalammar.github.io · its alternatives →

  19. 19

    Browse notebooks from Google Colaboratory

    2021 · its alternatives →

  20. 20OM

    2018 · blog.varunajayasiri.com · its alternatives →

  21. 21

    Learn machine learning through over 30 interactive notebooks

    2021 · github.com · its alternatives →

  22. 22PL

    Hi! I’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others. It supports all main Python ML frameworks (sklearn, torch, xgboost, …) and integrates with the quality assurance solution we are building at Giskard AI (https://giskard.ai) to systematically test models before putting them in production. It is still a beta and I would love to hear your feedback if you have the time to try it out. We have quite a few tutorials in the docs with ready-made colab notebooks to…

    2023 · docs.giskard.ai · its alternatives →

  23. 23EW
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    Unlock your knowledge in machine learning

    2023 · miguelanticonam.gumroad.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →