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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
š° A curated list of machine learning resources, preferably CoreML
| Date | Stars |
|---|---|
| 2026-07-31 | 814 |
| 2026-08-03 | 814 |
| 2026-08-06 | 814 |
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# awesome-machine-learning [](https://github.com/sindresorhus/awesome) ā¤ļø Support my apps ā¤ļø - [Push Hero - pure Swift native macOS application to test push notifications](https://onmyway133.com/pushhero) - [PastePal - Pasteboard, note and shortcut manager](https://onmyway133.com/pastepal) - [Quick Check - smart todo manager](https://onmyway133.com/quickcheck) - [Alias - App and file shortcut manager](https://onmyway133.com/alias) - [My other apps](https://onmyway133.com/apps/) ā¤ļøā¤ļøššš¤ā¤ļøā¤ļø I like to explore machine learning, but don't want the to dive into other platforms, like Python or Javascript, to understand some frameworks, or TensorFlow. Luckily, at WWDC 2017, Apple introduces Core ML, Vision, ARKit, which makes working with machine learning so much easier. With all the pre-trained models, we can build great things. It's good to feel the outcome first, then try to explore advanced topics and underlying mechanisms š¤ This will curates things mostly related to Core ML, and Swift. There are related things in other platforms if you want to get some references ## Table of contents - [Core ML](#core-ml) - [TensorFlow](#tensorflow) - [Keras](#keras) - [Turi Create](#turi-create) - [Machine Learning](#machine-learning) - [Misc](#misc) ## Core ML ### Models :rocket: - [Awesome-CoreML-Models](https://github.com/likedan/Awesome-CoreML-Models) Largest list of models for Core ML (for iOS 11+) - [caffe](https://github.com/BVLC/caffe) Caffe: a fast open framework for deep learning. http://caffe.berkeleyvision.org/ - [deep-learning-models](https://github.com/fchollet/deep-learning-models) Keras code and weights files for popular deep learning models. - [tensorflow models](https://github.com/tensorflow/models) Models built with TensorFlow - [libSVM](https://www.csie.ntu.edu.tw/~cjlin/libsvm/) A Library for Support Vector Machines - [scikit-learn](http://scikit-learn.org/) Machine Learning in Python - [xgboost](https://github.com/dmlc/xgboost) Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow - [Keras-Classification-Models](https://github.com/titu1994/Keras-Classification-Models) Collection of Keras models used for classification - [MobileNet-Caffe](https://github.com/shicai/MobileNet-Caffe) Caffe Implementation of Google's MobileNets - [ModelZoo](https://github.com/cocoa-ai/ModelZoo) A central GitHub repository for sharing Core ML models - [StyleArt](https://github.com/ileafsolutions/StyleArt) Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style - [models](https://github.com/Sarasra/models) Models and examples built with TensorFlow - [Core ML Store](https://coreml.store/) ### Tools - [coremltools](https://pypi.python.org/pypi/coremltools) coremltools in a python package for creating, examining, and testing models in the .mlmodel format - [torch2coreml](https://github.com/prisma-ai/torch2coreml) This tool helps convert Torch7 models into Apple CoreML - [turicreate](https://github.com/apple/turicreate) Turi Create simplifies the development of custom machine learning models. - [Netron](https://github.com/lutzroeder/Netron) Viewer for neural network and machine learning models - [light-ocr](https://github.com/arcships/light-ocr) Fast, offline OCR for Node.js and C++, using ONNX Runtime with CoreML acceleration on macOS - [onnx-coreml](https://github.com/onnx/onnx-coreml) ONNX to CoreML Converter - [tf-coreml](https://github.com/tf-coreml/tf-coreml) TensorFlow to CoreML Converter - [tensorwatch](https://github.com/microsoft/tensorwatch) Debugging and visualization tool for machine learning and data science ### Posts - [Swift Tutorial: Native Machine Learning and Machine Vision in iOS 11](https://hackernoon.com
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Would you bet a product on this? Bounded 0ā100 and slow moving.
matched fp:619be3732026a740, topic:learning, desc:curated list, readme:tutorial