Dive into Deep Learning
Focus: book, pytorch and interactive. Shares deep learning and course with Made With ML. Rated 4.9 (Made With ML: 4.8).
Course
Learn to develop, deploy and iterate on production-grade ML applications.
Rating
4.8 / 5
Pricing
Free
Difficulty
Intermediate
Works on
Web
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Made With ML is a free, open-source course that teaches how to combine machine learning with software engineering to design, develop, deploy and iterate on production-grade ML applications, with MLOps best practices throughout.
Third-party open-source projects. We are not affiliated with their authors; repositories are provided as-is by their maintainers. Review each project's license, code and security before installing. See our Disclaimer.
Developers and ML practitioners who want to ship production-grade machine learning applications, not just train models.
Absolute beginners with no Python or ML background.
See how Made With ML stacks up, side by side, plus the lists it made.
Not sold on Made With ML? These do a similar job, and each card says what it has in common.
Focus: book, pytorch and interactive. Shares deep learning and course with Made With ML. Rated 4.9 (Made With ML: 4.8).
Focus: python. Shares deep learning and machine learning with Made With ML. Same 4.8 rating.
Focus: ai agents, microsoft and lessons. Shares course and free with Made With ML. Same 4.8 rating.
Focus: llm, roadmap and colab. Shares course and free with Made With ML. Same 4.8 rating.
Focus: ai, roadmap and learning. Shares machine learning and deep learning with Made With ML. Rated 4.7 (Made With ML: 4.8).
Focus: google. Shares machine learning and course with Made With ML. Rated 4.7 (Made With ML: 4.8).
Want to spend nothing? These free picks cover similar ground.
Focus: lectures, reinforcement learning and computer vision. Shares deep learning and machine learning with Made With ML. Rated 4.5 (Made With ML: 4.8).
Focus: neural networks, karpathy and gpt. Shares course and open source with Made With ML. Rated 4.9 (Made With ML: 4.8).
Focus: papers, transformers and tutorials. Shares deep learning and open source with Made With ML. Same 4.8 rating.
Focus: harvard, cs50 and python. Shares course and free with Made With ML. Same 4.8 rating.
Focus: prompt engineering, context engineering and rag. Shares free and open source with Made With ML. Same 4.8 rating.
Focus: genai, ai agents and tutorials. Shares free and open source with Made With ML. Rated 4.7 (Made With ML: 4.8).
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