AI · alternatives · 2026
24 alternatives to A perceptron with stochastic gradient descent in Go
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
A perceptron implementation written in Go that uses stochastic gradient descent for machine learning tasks. The project provides a Go-based tool for developers and machine learning practitioners who want to work with… 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. A perceptron with stochastic gradient descent in Go launched in 2017; newer entries below may have overtaken it.
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A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.
2020 · github.com · its alternatives →
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A flexible artificial neural network builder to analyse performance, and optimise the best model. - GitHub - casparwylie/Perceptron: A flexible artificial neural network builder to analyse performance, and optimise the best model.
2017 · github.com · its alternatives →
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TensorFlow 1.0▲823Open-source machine learning library by Google
2017 · tensorflow.org · its alternatives →
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2024 · graphgame.sabrina.dev · its alternatives →
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GoLearn▲81Machine Learning for Go. Contribute to sjwhitworth/golearn development by creating an account on GitHub.
2014 · github.com · its alternatives →
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:satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow
2018 · github.com · its alternatives →
- 7N5
2020 · nn-512.com · its alternatives →
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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
2017 · made2591.github.io · its alternatives →
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Learn Go (Golang) by writing real code in this interactive course. Practice structs, interfaces, errors, concurrency, and idiomatic backend patterns.
2020 · qvault.io · its alternatives →
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2015 · otoro.net · its alternatives →
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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 →
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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.
2024 · github.com · its alternatives →
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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 →
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Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM. - tinygo-org/tinygo
2018 · github.com · its alternatives →
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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 →
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2019 · gocode.io · its alternatives →
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A finite-state machine library for the Go programming language - calebwin/go-sm
2018 · github.com · its alternatives →
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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 →
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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 →
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The authoritative resource for learning Go
2016 · amazon.com · its alternatives →
- 23AB
2015 · neurovis.dataphoric.com · its alternatives →
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Absolute minimalistic implementation of a GPT-like transformer using only numpy (<650 lines). - joennlae/tensorli
2023 · 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 →