Hacker News
Linking pages
- Benchmarking the Apple M1 Max https://tlkh.dev/benchmarking-the-apple-m1-max 335 comments
- GitHub - mikeroyal/Apple-Silicon-Guide: Apple Silicon Guide. Learn all about the A16 Bionic, M1, M1 Pro, M1 Max, M1 Ultra, and M2 chips. Along with all the Devices, Operating Systems, Tools, and Software that Apple Silicon powers. https://github.com/mikeroyal/Apple-Silicon-Guide#getting-started-with-apple-silicon 59 comments
- Moving AI from the Cloud to the Edge with Crowd Count and Apple’s Core ML | by Dimitri Roche | Heartbeat https://heartbeat.fritz.ai/moving-ai-from-the-cloud-to-the-edge-with-crowd-count-and-apples-core-ml-c5b7d91d4dc8 0 comments
- Implementing a Natural Language Classifier in iOS with Keras + Core ML | by Jacopo Mangiavacchi | Heartbeat https://heartbeat.fritz.ai/implementing-a-natural-language-classifier-in-ios-with-keras-core-ml-358f114c0b51 0 comments
- GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. https://github.com/ml-tooling/best-of-ml-python 0 comments
- Optimizing ML models for iOS and MacOS devices with Amazon SageMaker Neo and Core ML | AWS Machine Learning Blog https://aws.amazon.com/blogs/machine-learning/optimizing-ml-models-for-ios-and-macos-devices-with-amazon-sagemaker-neo-and-core-ml/ 0 comments
- Advanced Tips for Core ML. Core ML is the most popular and… | by Jameson Toole | Heartbeat https://heartbeat.fritz.ai/advanced-tips-for-core-ml-77c9e0231a9 0 comments
- Awesome Mobile Machine Learning. A growing list of awesome mobile (and… | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/awesome-mobile-machine-learning-6dfee1bbaafd 0 comments
- Building an offline video classifier for human actions with Core ML · Luke Reichold's Blog https://lukereichold.com/blog/posts/video-action-classification-coreml/ 0 comments
- C# Code Prediction with a Neural Network https://praeclarum.org/2018/07/20/code-prediction-with-a-neural-network.html 0 comments
- How to Deploy A State-of-the-art PyTorch Model to iOS via Core ML (Part 3) | Machine Learning Illustrated http://www.ml-illustrated.com/2020/06/15/deploy-pytorch-sound-classification-model-via-coreml.html 0 comments
- Reverse Engineering Core ML. Machine learning models are often black… | by Christopher Kelly | Heartbeat https://heartbeat.fritz.ai/reverse-engineering-core-ml-6d6f1c2bdab0 0 comments
- Incorporating machine learning into iOS apps | by Pradnya Nikam | Heartbeat https://heartbeat.fritz.ai/incorporating-machine-learning-into-ios-apps-a5eb8bccd915 0 comments
- What I’ve learned building a deep learning Dog Face Recognition iOS app | by Octavian Costache | Octavian Costache | Medium https://medium.com/octavians-thoughts/what-ive-learned-building-a-deep-learning-dog-face-recognition-ios-app-afd1eb168ad2 0 comments
- GitHub - huggingface/swift-transformers: Swift Package to implement a transformers-like API in Swift https://github.com/huggingface/swift-transformers 0 comments
Linked pages
- PyTorch http://pytorch.org/ 100 comments
- Core ML | Apple Developer Documentation https://developer.apple.com/documentation/coreml 40 comments
- LIBSVM -- A Library for Support Vector Machines http://www.csie.ntu.edu.tw/~cjlin/libsvm/ 16 comments
- scikit-learn: machine learning in Python — scikit-learn 1.3.1 documentation http://scikit-learn.org/stable/index.html 1 comment
- Core ML Tools Overview https://coremltools.readme.io/ 0 comments
- Core ML Tools Overview https://coremltools.readme.io/docs 0 comments
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