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AI · alternatives · 2026

24 alternatives to TWiML Talk #2 - Siraj Raval - How to Build Confidence as an ML Developer

How to approach a machine learning/AI project

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. TWiML Talk #2 - Siraj Raval - How to Build Confidence as an ML Developer launched in 2016; newer entries below may have overtaken it.

  1. 1

    A curated collection of machine learning projects

    2017 · its alternatives →

  2. 2

    Open source data science masters, hybrid AI

    2016 · its alternatives →

  3. 3
    Nanonets▲135

    Turn machine learning into an API call

    2017 · its alternatives →

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  5. 5

    An illustrated guide to understanding Machine Learning

    2016 · its alternatives →

  6. 6
    BigML▲64

    Machine learning as a service - build predictive apps

    2014 · its alternatives →

  7. 7

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

  8. 8

    machine learning is making like huge strides lol

    2015 · its alternatives →

  9. 9BX
  10. 10ML
  11. 11OS
  12. 12AC
  13. 13IO
  14. 14
    Cortex▲15

    The easiest way to build machine learning apps

    2020 · its alternatives →

  15. 15GF

    2018 · dataturks.com · its alternatives →

  16. 16FM
  17. 17

    GitHub for TensorFlow machine learning models

    2018 · its alternatives →

  18. 18MD

    We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…

    2025 · github.com · its alternatives →

  19. 19

    A Plain English Introduction to Machine Learning

    2017 · its alternatives →

  20. 20MB
  21. 21BG

    Hi HN, My name is Othmane and I’ve been in the ML field (building and shipping models) for the last ~5years. Today, as many people out there, I come across new AI tools every week. However I was a bit surprised to see little to no mention of established AI vendors that existed before chatGPT and how most use cases are heavily biased toward content generation (text/image) or conversational AI (chatbots). I built a tool that helps you find the right AI solution/provider based on your use case. It uses a curated database of 100+ solutions from established vendors. It covers things…

    2023 · preview.steerlab.ai · its alternatives →

  22. 22

    Machine learning news and insights

    2017 · its alternatives →

  23. 23

    Machine learning with instantaneous, visual feedback

    2017 · its alternatives →

  24. 24MI

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