A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.
The Best Everything AI/ML Alternatives in 2026
Looking for something like Everything AI/ML? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 9 are open source.
This curated AI and machine learning guide organizes over 228 learning resources across 30 sections.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Everything AI Ml | — | Yes | — |
| 2 | ProgrammingLearningResources | — | Not stated | Linux, Web |
| 3 | Learn Gamedev | — | Yes | — |
| 4 | Ebook Foundation | — | Not stated | Web |
| 5 | Hackr.io | — | Not stated | Linux, Web |
| 6 | Programming Learning Index | — | Yes | — |
| 7 | Professional Programming | — | Yes | — |
| 8 | ML Visualized | — | Not stated | Web |
| 9 | ML YouTube Courses | — | Yes | — |
| 10 | Virgilio | — | Not stated | Web |
All Everything AI/ML alternatives
ProgrammingLearningResources
rentry.co/ProgrammingLearningResourcesThis programming learning resource organizes links by language and subject, including web development, databases, and game development.
A curated collection of resources supports learning game development, from introductory material to further study.
Ebook Foundation
ebookfoundation.github.io/free-programming-booksThe Ebook Foundation's free-programming-books repository lists freely available learning resources in many languages.
Hackr.io
hackr.ioHackr.io catalogs technology courses, projects, user-submitted resources, and learning topics.
This repository lists freely available learning resources across programming, mathematics, and science.
This repository curates learning resources for software engineers, including material for people exploring programming topics.
ML Visualized
ml-visualized.comMachine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Virgilio
virgili0.github.io/VirgilioVirgilio organizes data science e-learning resources in a structured project overview.
Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Deep ML
deep-ml.comDeep-ML provides hands-on exercises in machine learning and data science fundamentals.
Machine Learning Roadmap
rentry.org/machine-learning-roadmapThis machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
Codecademy's Data Science
codecademy.com/learn/paths/data-scienceCodecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
ProjectLearn
projectlearn.ioProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Mallet
mimno.github.io/Mallet/indexMallet provides machine learning tools for language processing, according to its project title.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Machine Learning for Software Engineers
github.com/ZuzooVn/machine-learning-for-softwa…A daily study plan for people working toward becoming machine learning engineers.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
ML Course Notes
github.com/dair-ai/ML-Course-NotesA collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
ML Engineering
github.com/stas00/ml-engineeringThis open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
Alternatives to similar tools
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