AI · alternatives · 2026

24 alternatives to Neural networks tutorial series with code

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.

Neural networks tutorial series with code is a GitHub-based educational resource that teaches neural network concepts through practical coding examples. Designed for students and developers learning machine learning… 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. Neural networks tutorial series with code launched in 2020; newer entries below may have overtaken it.

1
I built a game to help you learn neural network architectures▲321
2024 · graphgame.sabrina.dev · its alternatives →
2AV
A Visual and Interactive Guide to the Basics of Neural Networks▲63
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 →
3
I built an AI that turns GitHub codebases into easy tutorials▲923
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com · its alternatives →
4
Comprehensive Tutorials in Deep Learning Using TensorFlow▲327
: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 →
5
Simple and comprehensive tutorials in Deep Learning using TensorFlow▲157
Simple and comprehensive tutorials in TensorFlow. Contribute to easy-tensorflow/easy-tensorflow development by creating an account on GitHub.
2018 · github.com · its alternatives →
6IM
I made a 5 hour neural networks class with no prerequisites▲17
2017 · neuralnetsforhackers.teachable.com · its alternatives →
7IA
Inside a Neural Network▲13
An introduction to building a basic feedforward neural network with backpropagation in Python.
2018 · enlight.nyc · its alternatives →
8
I trained a neural network to write Kanji▲166
sketch-rnn model trained to write kanji.
2018 · otoro.net · its alternatives →
9
Codebay.ai▲332
Learn Python easily with your personalized AI tutor
2024 · codebay.ai · its alternatives →
10
Neural network trained to generate GitHub repository names▲145
2016 · colinmorris.github.io · its alternatives →
11GC
Graph Convolutional Networks – Intro to neural networks on graphs▲106
Many important real-world datasets come in the form of graphs or networks: social networks, knowledge graphs, protein-interaction networks, the World Wide Web, etc. (just to name a few). Yet, until recently, very little attention has been devoted to the generalization of neural...
2016 · tkipf.github.io · its alternatives →
12
Neural Network Tutorial▲3
Intuitive, natural, cohesive tutorial for neural networks
2024 · leapai.top · its alternatives →
13
Applying the Unix philosophy to neural networks▲251
Neural network inference the Unix way. Contribute to cloudkj/layer development by creating an account on GitHub.
2019 · github.com · its alternatives →
14AB
A browser-based neural network simulation▲31
2015 · neurovis.dataphoric.com · its alternatives →
15
Simple Neural Network▲7
Simple way to learn neural network on C++
2023 · github.com · its alternatives →
16
Collection of deep learning implementations with side-by-side notes▲251
2021 · nn.labml.ai · its alternatives →
17
Simple Deep Learning Tutorials using Microsoft Cognitive Toolkit▲126
:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK) - CNTK-World/README.rst at master · astorfi/CNTK-World
2017 · github.com · its alternatives →
18
Single neuron neural network written in COBOL▲94
A perceptron written in COBOL. Contribute to victorqribeiro/perceptronCobol development by creating an account on GitHub.
2020 · github.com · its alternatives →
19
A perceptron with stochastic gradient descent in Go▲94
A single / multi layer / recurrent neural network written in Golang. - made2591/go-perceptron-go
2017 · github.com · its alternatives →
20
How AI Neural Network Training▲3
Learn how AI trains neural networks—beginner friendly.
Jul 2026 · khayyamshah2007.blogspot.com · its alternatives →
21
A competition for small neural networks that play strategy gamesfree▲116
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 →
22
To better understand Neural Networks I built one from scratch in C++▲10
Trying to understand neural nets by building a simple one from scratch - kretash/BasicNeuralNet
2017 · github.com · its alternatives →
23
Natural Language Processing Demystified (Part One)▲166
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 →
24DT
Detecting the Programming Language of Code Using ML and Neural Networks▲53
2016 · danielheres.space · its alternatives →

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