awesome-machine-learning
github.com/onmyway133/awesome-machine-learning ↗🎰 A curated list of machine learning resources, preferably CoreML
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Curated Resources
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Core MLTensorFlowKerasTuri CreateMachine LearningMisc
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me posts resources from awesome-machine-learning"
Installation instructions →What's inside
Machine Learning
- 10 Machine Learning Terms Explained in Simple EnglishPosts
- An introduction to machine learning with scikit-learnPosts
- An Intuitive Explanation of Convolutional Neural NetworksPosts
- A Quick Introduction to Neural NetworksPosts
- A Thank You note to Towards Data ScienceGetting started
- A Tour of Machine Learning AlgorithmsPosts
Misc
- 41 Essential Machine Learning Interview QuestionsInterview
- Accelerate-in-SwiftAccelerate
- Adding Computer Vision to your iOS AppGoogle Cloud Platform for Machine Learning
- AIToolboxOther ML frameworks
- Amazon Machine LearningServices
- api.aiServices
Turi Create
Resources
- Alias - App and file shortcut manager
App and file shortcut manager
- My other apps
- PastePal - Pasteboard, note and shortcut manager
Pasteboard, note and shortcut manager
- Push Hero - pure Swift native macOS application to test push notifications
pure Swift native macOS application to test push notifications
- Quick Check - smart todo manager
smart todo manager
Core ML
- Apple Machine Learning JournalPosts
- Awesome-CoreML-ModelsModels :rocket:
- Beginning Machine Learning with Keras & Core MLPosts
- Bootstrapping the Machine Learning Training ProcessPosts
- Bringing machine learning to your iOS appsPosts
- Build a Taylor Swift detector with the TensorFlow Object Detection API, ML Engine, and SwiftPosts
TensorFlow
Showing a sample of 184 resources. View the full list on GitHub →