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AI · alternatives · 2026

24 alternatives to Minigrad – a small neural network lib in Golang

I built a neural network library in golang on an autograd engine. Faster and easy to use like PyTorch. Please give it a try and share your feedback. if you like it, a github star will be appreciated.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier. Minigrad – a small neural network lib in Golang launched in 2024; newer entries below may have overtaken it.

  1. 1

    A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go

    2017 · github.com · its alternatives →

  2. 2

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  3. 3

    min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch - kuprel/min-dalle

    2022 · github.com · its alternatives →

  4. 4

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

    2025 · github.com · its alternatives →

  5. 5

    built a tiny pytorch clone in c after going through prof. vijay janapa reddi's mlsys book: mlsysbook.ai/tinytorch/ perfect for learning how ml frameworks work under the hood :)

    Dec 2025 · github.com · its alternatives →

  6. 6

    A minimal implementation of autograd (in pure Python) 🍰 - kennysong/minigrad

    2020 · github.com · its alternatives →

  7. 7

    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 →

  8. 8

    The simplest form of an artificial neural network explained and demonstrated. - GitHub - gokadin/ai-simplest-network: The simplest form of an artificial neural network explained and demonstrated.

    2020 · github.com · its alternatives →

  9. 9

    Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. - tinygo-org/tinygo

    2018 · github.com · its alternatives →

  10. 10

    A ranked ladder for small neural networks that play strategy games. Train a model, write an adapter, upload two files, and get measured into a weight class from 8 KiB up.

    Sep 2026 · tinybrains.dev · its alternatives →

  11. 11

    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 →

  12. 12

    Fast and efficient models optimized for coding and subagents

    Mar 2026 · openai.com · its alternatives →

  13. 13
    Olivia▲98

    Your new best friend built with an artificial neural network

    2019 · github.com · its alternatives →

  14. 14
    GoLearn▲81

    Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.

    2014 · github.com · its alternatives →

  15. 15

    A tiny version of GPT fully implemented in Python with zero dependencies - isaacperez/tinygpt

    2024 · github.com · its alternatives →

  16. 16

    A robust Python tool for text-based AI training and generation using GPT-2. - minimaxir/aitextgen

    2020 · github.com · its alternatives →

  17. 17

    Deep learning platform built for developers

    2018 · paperspace.com · its alternatives →

  18. 18N5
  19. 19

    No gc, No goroutines, Produces small binaries while using the unmodified official go toolchain, and comes with complete Web SDK (generated from w3c&#x2F;webref). We are building `pcz` to provide a reimagination of Go the language, in an effort to make it suitable for all kinds of programming tasks, and currently you can use it to build efficient web applications in Go using the generated Web SDK (as shown with the live web demo[1]). The journey is just starting, any suggestions? or any critics? [1]: https:&#x2F;&#x2F;primecitizens.github.io&#x2F;livedemos&#x2F;10-plat-web&#x2F;

    2023 · github.com · its alternatives →

  20. 20

    Hey! This is something i have been working on. A tiny neural networking lib to learn how something like pytorch works, and to improve my own coding standards.

    2025 · github.com · its alternatives →

  21. 21IC

    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:&#x2F;&#x2F;www.packtpub.com&#x2F;big-data-and-business-intelligence&#x2F;hands-deep-learning-go We would appreciate any feedback and we're always looking to improve.

    2019 · its alternatives →

  22. 22

    A minimalist deep learning library written from scratch in Python - sradc/SmallPebble

    2021 · github.com · its alternatives →

  23. 23

    Hey HN, I just published v0.1.0 of go-bt and would love some feedback from the Go veterans here. Thanks in advance!

    Apr 2026 · github.com · its alternatives →

  24. 24

    A neural network library built in Go. Contribute to stevenmiller888/go-mind development by creating an account on GitHub.

    2015 · 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 →