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Life & fun · alternatives · 2026

AI

An Interactive Guide to Teach Derivatives and Backpropagation is an educational tool that helps users understand how derivatives work and how backpropagation functions in machine learning. It is designed for students… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. An Interactive Guide to Teach Derivatives and Backpropagation launched in 2023; newer entries below may have overtaken it.

  1. 1AV

    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 →

  2. 2

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

    2019 · github.com · its alternatives →

  3. 3AI
  4. 4
  5. 5IT

    Experiments in expressing statistical thinking with interactive design

    2015 · r2d3.us · its alternatives →

  6. 6IM

    Hi, I'm a high school teacher from Australia and I've built what I'd like to think is a pretty nifty ChatGPT powered presentation tool for teachers. I'd love it if you could have a look at it and give me some of your feedback. I don't think there's much overlap with the HN crowd and school teachers, but I've been coming here for many years and thought I'd post here and see what you all think. Check it out if you have a minute and I'd be super happy to hear your feedback too. https://www.slidehero.ai/ You can jump in and have a play with the tool all you like ;) Cheers, Eli

    2025 · its alternatives →

  7. 7DE

    2015 · lewis500.github.io · its alternatives →

  8. 8

    Reimagining textbooks for every learner

    2025 · learnyourway.withgoogle.com · its alternatives →

  9. 9PA

    TL;DR: https://pyflo.net is a free, interactive guide to learning Python Hi Everyone, I am a CS educator who has taught a variety of university courses, including many on introductory Python programming. Over the past few years, I've written down a number of Python programming lessons and has culminated into Pyflo.net. This tool is a completely free, introductory guide to learning Python. It is more-or-less an intro programming textbook, but with a few twists, including: * It is totally free. You don't even have to give me your email to use it * The lessons are short and…

    2023 · pyflo.net · its alternatives →

  10. 10

    Trying to do gradient descent using automatic differentiation over branchy programs? Or to combine them with neural networks for end-to-end training? Then this might be interesting to you. We develped DiscoGrad, a tool for automatic differentiation through C++ programs involving input-dependent control flow (e.g., "if (f(x) < c) { ... }", differentiating wrt. x) and randomness. Our initial motivation was to enable the use of gradient descent with simulations, which often rely heavily on such discrete branching. The latter makes plain autodiff mostly useless, since it can only account for the…

    2024 · github.com · its alternatives →

  11. 11

    An open source tool for context-aware digital textbooks

    2015 · hypersay.com · its alternatives →

  12. 12EM
  13. 13

    I worked on this applied Deep Reinforcement Learning course for the better part of 2021. I made a Datacamp course [0] before, and this served as my inspiration to make an applied Deep RL series. Normally, Deep RL courses teach a lot of mathematically involved theory. You get the practical applications near the end (if at all). I have tried to turn that on its head. In the top-down approach, you learn practical skills first, then go deeper later. This is much more fun. This course (the first in a planned multi-part series) shows how to use the Deep Reinforcement Learning framework RLlib to…

    2022 · courses.dibya.online · its alternatives →

  14. 14MI

    An interactive book introducing programming with ClojureScript

    2017 · langintro.com · its alternatives →

  15. 15IC

    Ximera provides the backend technology for online courses

    2018 · ximera.osu.edu · its alternatives →

  16. 16IP

    Interactive toy for visualizing relationship between polynomial roots and coefficients

    2017 · duetosymmetry.com · its alternatives →

  17. 17

    Math to Code is an interactive Python tutorial to teach engineers how to read and implement math using the NumPy library.

    2020 · mathtocode.com · its alternatives →

  18. 18

    Learning numerical computing with notebooks for all ages. - eka-foundation/numerical-computing-is-fun

    2017 · github.com · its alternatives →

  19. 19

    Interactive solver for the traveling salesman problem to visualize different algorithms. Includes various Heuristic and Exhaustive algorithms.

    2019 · tspvis.com · its alternatives →

  20. 20IA

    An introduction to building a basic feedforward neural network with backpropagation in Python.

    2018 · enlight.nyc · its alternatives →

  21. 21

    A visual guide for beginners

    2017 · amazon.com · its alternatives →

  22. 22

    A re-implementation of Karpathy's micrograd in C. Contribute to oraziorillo/microcrad development by creating an account on GitHub.

    Jun 2026 · github.com · its alternatives →

  23. 23AB
  24. 24

    I made this tool to get some better intuition on how neural networks&#x2F;backpropagation worked, but I'm really unsure what to do with it now, so I've put it up on github, and I wrote a little primer on backprop and neural networks to showcase it. Really curious to hear any thoughts you might have, or anything I got wrong in the write up!

    2024 · 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 →