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AI · alternatives · 2026

24 alternatives to Python, Deep Learning, and LLMs

Go from zero to training a pocket-sized language model.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.

    Apr 2026 · github.com · its alternatives →

  2. 2IB

    https://the-pocket.github.io/Tutorial-Codebase-Knowledge/

    2025 · github.com · its alternatives →

  3. 3NL

    Hi HN: I published part one of my free NLP course. The course is intended to help anyone who knows Python and a bit of math go from the very basics all the way to today's mainstream models and frameworks. I strive to balance theory and practice and so every module consists of detailed explanations and slides along with a Colab notebook (in most modules) putting the theory into practice. In part one, we cover text preprocessing, how to turn text into numbers, and multiple ways to classify and search text using "classical" approaches. And along the way, we'll pick up useful bits on how to use…

    2022 · nlpdemystified.org · its alternatives →

  4. 4IW
  5. 5

    Learning machine learning has never been easier

    2017 · its alternatives →

  6. 6LL
  7. 7

    Learn Python easily with your personalized AI tutor

    2024 · its alternatives →

  8. 8VI

    Hi HN, We've just published a lot of original, visual, and intuitive explanations of concepts to introduce people to large language models. It's available for free with no sign-up needed and it includes text articles, some video explanations, and code examples/notebooks as well. And we're available to answer your questions in a dedicated Discord channel. You can find it here: https://llm.university/ Having written https://jalammar.github.io/illustrated-transformer/, I've been thinking about these topics and how best to communicate them for half a…

    2023 · its alternatives →

  9. 9
    MakeML▲274

    Train Neural Networks without a line of code

    2019 · its alternatives →

  10. 10
    Slate▲93

    A playground for ideas - LLM prompts in code notebooks

    2024 · its alternatives →

  11. 11

    Unlock your knowledge with 2000 LLM prompts

    2023 · its alternatives →

  12. 12IC

    A friend and I wrote a book on how to build and train Deep Learning models in Go. We wanted it to be a useful reference for deep learning basics for Go programmers. Deep Learning is slowly seeping into everything we use every day and we thought it would be great if more people could do it in Go. The book is available here and on Amazon as well. https://www.packtpub.com/big-data-and-business-intelligence/hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.

    2019 · its alternatives →

  13. 13IT
  14. 14NL

    Link: https://www.nlpdemystified.org/ Hi HN: After a year of work, I've published my free NLP course. The course helps anyone who knows Python and a bit of math go from the basics to today's mainstream models and frameworks. I strive to balance theory and practice, so every module consists of detailed explanations and slides along with a Colab notebook putting the ideas into practice (in most modules). The notebooks cover how to accomplish everyday NLP tasks including extracting key information, document search, text similarity, text classification, finding topics in…

    2022 · its alternatives →

  15. 15IB

    I’ve spent the last few months building a deep learning engine completely from scratch in Python (using only math and random). What started as a basic linear algebra calculator project grew into a symbolic tensor system with autodiff, custom matrix ops, attention mechanisms, LayerNorm, GELU, and even a text generation demo trained on the Brown corpus. I'm still an undergrad, so my main goal is to deeply understand how deep learning actually works under the hood - gradients, attention, backpropagation, optimizers - by building it step-by-step with full visibility into everything, and without…

    2025 · github.com · its alternatives →

  16. 16NN
  17. 17
    codedamn▲215

    Teach yourself to code

    2020 · its alternatives →

  18. 18AP
  19. 19

    Build local LLMs using top data science libraries

    2023 · its alternatives →

  20. 20

    Learn the basics of programming

    2015 · its alternatives →

  21. 21

    Learn Machine Learning by building real projects

    2025 · halgorithm.com · its alternatives →

  22. 22LT
  23. 23

    Applied Deep Learning from Data Collection to Production

    2018 · its alternatives →

  24. 24CL

    https://medium.com/@theaniketgiri/three-months-ago-i-wanted-...

    Oct 2025 · github.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 →