calls machine-learning-book “Current, book-backed code for ML with PyTorch, a structured peer alternative.”
PyTorch Tutorial for Deep Learning Researchers
machine-learning-book is queued for analysis. Crawling candidates and ranking them takes a few minutes. This page updates itself when the list exists — you can also come back later.
What is known so far comes from the other direction:
These projects were analysed and named machine-learning-book among their alternatives. The relationship is not symmetric — how machine-learning-book rates them is a separate judgement, made when machine-learning-book is analysed in its own right.
calls machine-learning-book “Current, book-backed code for ML with PyTorch, a structured peer alternative.”
PyTorch Tutorial for Deep Learning Researchers
calls machine-learning-book “Use as a modern, comprehensive book-code alternative covering the same ML+Dl curriculum with scikit-learn and PyTorch.”
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
calls machine-learning-book “Pick for a modern maintained ML book repo covering scikit-learn and PyTorch with updated APIs.”
Notebooks and code for the book "Introduction to Machine Learning with Python"
calls machine-learning-book “choose for ML/DL with PyTorch and scikit-learn; seed is less ML-deep”
Python Data Science Handbook: full text in Jupyter Notebooks