#4545th of 55 in Learning and cookbooks
machine_learning_examples
Python code for Lazy Programmer's online machine learning courses
- Stars
- 8.9k
- License
- no license
- Last commit
- Sep 2026
- Language
- Python
8,776 on 1 Apr 20268,937 on 21 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
A repository of Python example code for the author's paid courses on deep learning, NLP, reinforcement learning, time series and related topics. Each folder matches one course, and newer TensorFlow 2 material lives in Google Colab notebooks linked from the lectures rather than here. The README gives no setup instructions, requirements file or license.
Who it is for: Students of the author's deeplearningcourses.com courses
Strengths
- Covers many topics: CNNs, RNNs, GANs, HMMs, reinforcement learning, Bayesian methods, recommenders
- One folder per course, so code maps directly to lectures
- Still updated: last commit 2026-09-28
Weaknesses
- No license stated, so reuse rights are unclear
- Written to accompany paid courses; little standalone explanation in the README
- Not all course code is here; newer TensorFlow 2 work is in Colab
- No install steps or pinned dependency list in the README
Also in Learning and cookbooks
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| 3 | ai-agents-for-beginners18-lesson course on building AI agents with Microsoft Agent Framework | 79 out of 100 |
| #4 | cs249r_bookOpen textbook and course materials for machine learning systems engineering | 79 out of 100 |
| #5 | llms-from-scratchCode for the book on building a GPT-style LLM in PyTorch | 77 out of 100 |