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Awesome AutoML
Curating a list of AutoML-related research, tools, projects and other resources.
About Awesome AutoML
Awesome AutoML is a GitHub repository that curates AutoML-related research, tools, projects and other resources. It describes AutoML as tools and technology that use machine learning methods and processes to automate machine learning systems and make them more accessible. The introduction notes that the idea has existed for several decades and that recent work has renewed interest in the area.
The repository organizes references by topic, including neural network architecture search, hyperparameter optimization, optimizer search, data augmentation search, and learning to learn / meta-learning. Visitors can browse survey papers on AutoML and neural architecture search, as well as lists of research papers on specific methods and applications.
It suits readers who want collected references for study or research, such as students, researchers, and developers working with machine learning automation.
Key features
- Curated list of AutoML research, tools and projects
- Survey papers on AutoML and architecture search
- References on neural architecture search methods
- Covers hyperparameter optimization and meta-learning
- Public repository accessible through GitHub
Best for: Researchers, students, and developers seeking collected AutoML papers and resources.
Good for
- Open source repository on GitHub
- Groups references by AutoML subtopic
- Includes survey papers for background reading
Watch out for
- Link list only, not an executable tool
- Repository layout with no search or filtering
Awesome AutoML at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Awesome AutoML FAQ
What is Awesome AutoML?
It is a GitHub repository that curates AutoML-related research, tools, projects and other resources.
What AutoML topics are covered?
It lists neural network architecture search, hyperparameter optimization, optimizer search, data augmentation search, and learning to learn / meta-learning.
Is Awesome AutoML a software tool?
No, it is a curated repository of references and links for reading and research.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
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