brainstate

eugeneyan/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

★ 30.8kMITGitHub ↗

History and source changes · Reports and owner responses · Compare

Similar

  1. lazyprogrammer/machine_learning_examples

    A collection of machine learning examples and tutorials.

    Python★ 8.9kGitHub ↗

    Why this match

    topics data-science, deep-learning, machine-learning

  2. dair-ai/ML-Course-Notes

    🎓 Sharing machine learning course / lecture notes.

    ★ 6.7kGitHub ↗

    Why this match

    topics data-science, deep-learning, machine-learning

  3. jason718/awesome-self-supervised-learning

    A curated list of awesome self-supervised methods

    ★ 6.4kGitHub ↗

    Why this match

    topics computer-vision, deep-learning, machine-learning

  4. mrdbourke/zero-to-mastery-ml

    All course materials for the Zero to Mastery Machine Learning and Data Science course.

    Jupyter Notebook★ 7.5kGitHub ↗

    Why this match

    topics data-science, deep-learning, machine-learning

  5. GokuMohandas/Made-With-ML

    Learn how to develop, deploy and iterate on production-grade ML applications.

    Jupyter Notebook★ 49.9kMITGitHub ↗

    Why this match

    topics data-engineering, data-quality, data-science

  6. dair-ai/ML-YouTube-Courses

    📺 Discover the latest machine learning / AI courses on YouTube.

    ★ 17.4kCC0-1.0GitHub ↗

    Why this match

    topics data-science, deep-learning, machine-learning; license differs: MIT → CC0-1.0

  7. pytorch/vision

    Datasets, Transforms and Models specific to Computer Vision

    Python★ 18.0kBSD-3-ClauseGitHub ↗

    Why this match

    topics computer-vision, machine-learning; license differs: MIT → BSD-3-Clause

  8. d2l-ai/d2l-zh

    《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

    Python★ 82.2kApache-2.0GitHub ↗

    Why this match

    topics computer-vision, deep-learning, machine-learning; license differs: MIT → Apache-2.0