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AI

Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.

  1. UCI Machine Learning Repository archive.ics.uci.edu

    TONS of datasets for ML.

  2. How to Create a Mind amazon.com

    The audio version is nice to listen to while commuting. This book is motivating about reverse-engineering the mind and thinking on how to code AI.

  3. Clean Code amazon.ca

    Get back to the basics you fool! Learn how to do Clean Code for your career. This is by far the best book I've read even if this list is related to Deep Learning.

  4. Self-Governing Neural Networks for On-Device Short Text Classification aclweb.org

    This paper is the sequel to the ProjectionNet just above. The SGNN is elaborated on the ProjectionNet, and the optimizations are detailed more in-depth (also see my attempt to reproduce the paper in code and watch the talks' recording).

  5. Introduction to TensorFlow Lite udacity.com

    Udacity course by Daniel Situnayake (@dansitu), Paige Bailey (@DynamicWebPaige), and Juan Delgado.

  6. TensorFlow Hub tfhub.dev

    Set "Model format = TFLite" to find TensorFlow Lite models.

  7. TensorFlow Lite models tensorflow.org

    With official Android and iOS examples.

  8. From TensorFlow to ML Kit: Power your Android application with machine learning speakerdeck.com

    A talk with Android (Kotlin) sample code.

  9. Practical Deep Learning for Cloud, Mobile, and Edge practicaldeeplearning.ai

    By Anirudh Koul (@AnirudhKoul), Siddha Ganju (@SiddhaGanju), and Meher Kasam (@MeherKasam).

  10. Why the Future of Machine Learning is Tiny petewarden.com

    By Pete Warden.

  11. The People + AI Guide book pair.withgoogle.com

    Learn how to design human-centered AI products.

  12. Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter packtpub.com

    Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (GitHub) - By Anubhav Singh (@xprilion) and Rimjhim Bhadani (@Rimjhim28).

  13. YOLOv3 to TensorFlow Lite Conversion medium.com

    By Nitin Tiwari.

  14. Material design guidelines for ML material.io

    How to design machine learning powered features. A good example: ML Kit Showcase App.

  15. AI and Machine Learning for Coders learning.oreilly.com

    By Laurence Moroney (@lmoroney).

  16. AI and Machine Learning On-Device Development learning.oreilly.com

    (early access) - By Laurence Moroney (@lmoroney).

  17. Hexagon delegate github.com

    How to use the Hexagon Delegate to speed up model inference on mobile and edge devices. Also see blog post Accelerating TensorFlow Lite on Qualcomm Hexagon DSPs.

  18. TensorFlow models github.com

    Official TensorFlow models.

  19. Tensorflow detection model zoo github.com

    Pre-trained on COCO, KITTI, AVA v2.1, iNaturalist Species datasets.

  20. The Future of ML is Tiny and Bright edx.org

    A series of edX courses created by Harvard in collaboration with Google. Instructors - Vijay Janapa Reddi, Laurence Moroney, and Pete Warden.

  21. Edge Impulse edgeimpulse.com

    Created by @EdgeImpulse to help you to train TensorFlow Lite models for embedded devices in the cloud.

  22. Device-based Models with TensorFlow Lite coursera.org

    Coursera course by Laurence Moroney (@lmoroney).

  23. What is new in TensorFlow Lite blog.tensorflow.org

    By Khanh LeViet.

  24. Using TensorFlow Lite on Android blog.tensorflow.org

    ) - By Laurence Moroney.

  25. Getting Started with ML on MCUs with TensorFlow blog.particle.io

    By Brandon Satrom.

  26. AI benchmark ai-benchmark.com

    A website for benchmarking computer vision models on smartphones.

  27. Computer Vision 2 vision.rwth-aachen.de

  28. Computer Vision vision.rwth-aachen.de

  29. RNNs In TensorFlow, A Practical Guide And Undocumented Features wildml.com

    Step-by-step guide with full code examples on GitHub.

  30. Building Machine Learning Estimator in TensorFlow terrytangyuan.github.io

    Understanding the Internals of TensorFlow Learn Estimators

  31. Introduction to Scikit Flow - Simplified Interface to TensorFlow terrytangyuan.github.io

    Key Features Illustrated

  32. TensorLayerX tensorlayerx.readthedocs.io

    Using TensorFlow like PyTorch. (Api docs)

  33. TensorLayer tensorlayer.readthedocs.io

    Modular implementation for TensorFlow's official tutorials. (CN).

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