1
Community Curated Data Science Resources
hackr.io/tutorials/learn-data-scienceAlso covers data analysis · same kind of website
This catalog curates data science courses, tutorials, books, and other learning resources.
Alternatives
The Best ML Resources Alternatives in 2026
23 alternatives1 free · 11 open source
Looking for something like ML Resources? Here are 23 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 11 are open source.
About ML Resourcesml-resources.vercel.app
VisitA collection of machine learning resources for readers exploring the field.
Top picks at a glance
First suggestionCommunity Curated Data Science ResourcesThis catalog curates data science courses, tutorials…Free or freemium optionAwesome AI ModelsAwesome AI Models curates links to AI models and large…Open source optionAwesome Machine Learning with RubyThis repository collects machine learning resources and…Another optionThe Generative AI LandscapeAI Collection is a directory of more than 4,000 generative…
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Community Curated Data Science Resources | — | Not stated | Web |
| 2 | The Generative AI Landscape | — | Not stated | Web |
| 3 | Awesome Machine Learning with Ruby | — | Yes | — |
| 4 | Awesome Core ML Models | — | Yes | iOS, macOS |
| 5 | Awesome AI Books | — | Not stated | — |
| 6 | Awesome Machine Learning | — | Not stated | — |
| 7 | machine-learning-zoomcamp | — | Not stated | — |
| 8 | Applied ML | — | Yes | — |
| 9 | Awesome Claude Skills | — | Not stated | — |
| 10 | awesome-r | — | Not stated | — |
All ML Resources alternatives
2
The Generative AI Landscape
thataicollection.comAlso covers data analysis · same kind of website
AI Collection is a directory of more than 4,000 generative AI applications for business and personal use.
3
Also covers machine learning · open source
This repository collects machine learning resources and tools for the Ruby programming language.
4
Also covers machine learning · open source
Browse a list of machine learning models for Apple Core ML, collected in this repository.
5
Awesome AI Books
github.com/mahseema/aibooksAlso covers machine learning
Awesome AI Books curates books about artificial intelligence, machine learning, deep learning, and transformers.
6
Awesome Machine Learning
github.com/josephmisiti/awesome-machine-learningAlso covers machine learning
A curated list of machine learning frameworks, libraries, and software maintained in a GitHub repository.
7
machine-learning-zoomcamp
github.com/DataTalksClub/machine-learning-zoom…Also covers machine learning
Machine Learning Zoomcamp teaches machine learning engineering through a course and registration materials.
8
Also covers machine learning · open source
This repository collects company papers and technical blogs about machine learning in production.
9
Awesome Claude Skills
github.com/BehiSecc/awesome-claude-skillsAlso covers data analysis
This repository curates Claude Skills for use with Claude and related workflows.
10
awesome-r
github.com/qinwf/awesome-RAlso covers data analysis
Explore packages, frameworks, and software in Awesome R, a curated resource list for the R ecosystem.
11
Awesome Federated Learning Systems
github.com/AmberLJC/FLsystem-paper/blob/main/R…Also covers machine learning
This repository curates academic papers and related resources about federated learning systems.
12
LocalModelsLinks
rentry.org/LocalModelsLinksAlso covers machine learning · same kind of website
LocalModelsLinks collects guides and references for running and tuning language models locally.
13
Also covers machine learning · open source
This collection links community detection research papers and their implementations.
14
Also covers machine learning · open source
Browse a curated list of artificial intelligence tools in this repository.
15
Also covers machine learning · open source
Awesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
16
Screenpipe
github.com/mediar-ai/screenpipeAlso covers machine learning
Screenpipe records screen activity locally and provides context to AI agents.
17
Also covers machine learning · open source
Awesome AI Market Maps collects market maps about AI from 2025 and 2026.
18
Also covers machine learning · open source
Awesome TensorFlow lists experiments, libraries, and projects related to TensorFlow.
19
AlexChalakov/awesome-generative-ai-companies
github.com/AlexChalakov/awesome-generative-ai-…Open sourceAlso covers machine learning · open source
A curated list of Gеnerative AI companies, sorted by focus area and total fundraised amount.
20
PromptEngineering
github.com/NirDiamant/Prompt_EngineeringAlso covers machine learning
This repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.
21
Also covers machine learning · free
Awesome AI Models curates links to AI models and large language models.
22
Also covers machine learning · open source
Stackwise collects open-source AI applications and invites community contributions to its project.
23
Open source
This repository collects machine learning resources, including language models, tools, interfaces, and retrieval systems.
No alternatives match this filter.
Alternatives to similar tools
Awesome Community Detection24 alternativesAwesome AI Market Maps24 alternativesScreenpipe24 alternativesmachine-learning-zoomcamp24 alternativesAwesome Core ML Models24 alternativesmahseema/awesome-ai-tools24 alternatives
What is the best alternative to ML Resources?
Based on features, tags and platforms, the closest alternatives to ML Resources are Community Curated Data Science Resources, The Generative AI Landscape, and Awesome Machine Learning with Ruby.
Is there a free alternative to ML Resources?
Yes. Awesome AI Models is free or offer a free plan.
Are there open-source alternatives to ML Resources?
Yes: Awesome Machine Learning with Ruby, Awesome Core ML Models, Applied ML, and Awesome Community Detection.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative