rasbt/machine-learning-book resource

Health v2 · maintenance only

Adoption not part of the score

5345 stars · 1835 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

The official code repository for the book 'Machine Learning with PyTorch and Scikit-Learn' by Sebastian Raschka, Yuxi Liu, and Vahid Mirjalili. It contains Jupyter notebooks with code examples covering classical machine learning, deep learning, transformers, GANs, graph neural networks, and reinforcement learning.

Use cases

• learn machine learning with pytorch and scikit-learn
• jupyter notebooks for deep learning book
• implement a neural network from scratch
• learn transformers and attention mechanisms
• study reinforcement learning examples
• learn convolutional neural networks for image classification
• practice model evaluation and hyperparameter tuning

When to choose

• you are reading the book and want its companion code
• you want hands-on, chapter-by-chapter ML and deep learning examples in PyTorch
• you prefer learning via runnable Jupyter notebooks

When to avoid

• you need a production-ready ML library rather than educational code
• you want standalone tutorials without the book's explanatory text
• you need a framework for deploying models to production

Facets

learning-resource · maturity stable

machine-learning deep-learning nlp computer-vision reinforcement-learning machine-learning deep-learning tutorials education python cross-platform pytorch scikit-learn jupyter-notebooks book-companion neural-networks transformers gan graph-neural-networks natural-language-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="rasbt/machine-learning-book")