Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
The Best OpenAI Cookbook Alternatives in 2026
Looking for something like OpenAI Cookbook? Here are 14 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 4 are open source.
The OpenAI Cookbook provides examples and guides for using the OpenAI API.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Homemade Machine Learning | — | Yes | — |
| 2 | AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics | — | Yes | — |
| 3 | Neural Networks and Deep Learning | — | Not stated | — |
| 4 | Introduction to Machine Learning with Python | — | Not stated | — |
| 5 | NirDiamant/GenAI Agents | — | Not stated | — |
| 6 | pattern classification | — | Yes | — |
| 7 | Andrew Ng’s Machine Learning at Stanford University | — | Not stated | Web |
| 8 | Spinning Up | — | Not stated | Web |
| 9 | The 100-Page Language Models Book | — | Not stated | Web |
| 10 | Machine Learning Mastery | — | Not stated | Web |
All OpenAI Cookbook alternatives
AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
github.com/Western-OC2-Lab/AutoML-Implementati…Open sourceThis repository provides a tutorial implementation of AutoML for batch and online learning.
Neural Networks and Deep Learning
github.com/mnielsen/neural-networks-and-deep-l…This repository contains code samples for the book Neural Networks and Deep Learning.
Introduction to Machine Learning with Python
github.com/amueller/introduction_to_ml_with_py…Notebooks and code for the book "Introduction to Machine Learning with Python".
NirDiamant/GenAI Agents
github.com/NirDiamant/GenAI_AgentsThis repository contains more than 50 tutorials and implementations for generative AI agent techniques.
This repository collects tutorials and examples for learning machine learning and pattern classification.
Andrew Ng’s Machine Learning at Stanford University
coursera.org/learn/machine-learningThis Coursera course teaches supervised machine learning, regression, and classification with Python.
Spinning Up
spinningup.openai.com/en/latestSpinning Up provides documentation and learning resources for deep reinforcement learning.
The 100-Page Language Models Book
thelmbook.comThe Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
Machine Learning Mastery
machinelearningmastery.comMachine Learning Mastery shares guidance for developers learning to apply machine learning.
NormConf - The Normcore Tech Conference
normconf.comNormconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Neural Networks: Zero to Hero
karpathy.ai/zero-to-hero.htmlThis course teaches how to build neural networks from scratch in code.
TutorialSearch searches and compares online tutorials and courses across learning platforms.
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
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