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The Best Community Curated Tutorials and Libraries for Any ML Topic

gokumohandas profile image Goku Mohandas ใƒป2 min read

๐Ÿ“˜ An automatically and constantly up-to-date collection of the best ML resources by topic, curated by the community. This is a dynamic and community-driven solution to static and out-dated awesome-lists. Click on any topic to discover the best Tutorials and Libraries to help you build.

๐Ÿ‘‰ https://madewithml.com/topics/

Most topic pages are arranged for an optimal learning experience, as opposed to overwhelming you with a massive list of resources. They come with the following sections:

  • Overview (intuition)
  • Tutorials (code)
  • Libraries (by application)

And we cover the follow categories of topics:

  • Frameworks (Python, TensorFlow, PyTorch, JAX, etc.)
  • Data (augmentation, preprocessing, versioning, etc.)
  • Algorithms (regression, CNNs, Transformers, GANs, etc.)
  • Tasks (text classification, object detection, recsys, etc.)
  • Modeling (pretraining, interpretability, compression, etc.)
  • End-to-end (production, serving, testing, CI/CD, etc.)
  • Industries (health, more coming soon)
  • Collections (checklists, courses, interactive, etc.)

โ„น๏ธ This page is for the best resources of all time by topic. If you're looking for trending content of the day, check out the home page. And if you don't see a specific topic here, you can search for it using the search bar at the top.


Made With ML is a vibrant community where people learn, explore and build with ML.

  1. Stay on top of the daily influx of ML content and focus only on community-curated high quality content. See what the community has to say: https://madewithml.com/about/#feedback

  2. Discover the best tutorials and libraries (tagged and community-curated) to use for your next project. https://madewithml.com/topics/

  3. Interact directly with the authors (questions, thank yous and even mentorship). See examples here: https://twitter.com/madewithml/status/1286529443352023041

  4. Showcase your dynamic portfolio. Check out some of the amazing portfolios here: https://twitter.com/madewithml/status/1284503478685978625

๐Ÿ’ฌ Join the discussions on our community Slack channel and follow us on Twitter and LinkedIn for daily trending content and YouTube (lessons coming soon)!

๐Ÿ‘‰ https://madewithml.com/topics/

Posted on by:

gokumohandas profile

Goku Mohandas

@gokumohandas

๐ŸŒ Founder @madewithml ๐Ÿ”ฌ AI Research @Apple ๐Ÿ“š Author @OReillyMedia ๐Ÿฅ ML Lead @Ciitizen ๐Ÿ”ฅ Co-Founder @HotSpotRide ๐ŸŽ“ Alum @GeorgiaTech ๐ŸŽ“ Alum @JohnsHopkins

Discussion

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Thanks for this resource! I have a speaker coming to talk machine learning at a free virtual meetup next week on August 14. I've seen this presentation and it's a lot of fun. He walks through how the gradient descent algorithm works for machine learning and actually codes a sample using it in JavaScript. cfe.dev/events/how-machine-learnin...

I thought this might be a good resource for anyone interested in the topic (it will be recorded as well). Also would love if you'd be willing to share it to help spread the word.