aladdinpersson/Machine-Learning-Collection Alternatives

For Chinese-language learners who want hands-on ML notebooks in their native language.

AI实战-practicalAI 中文版

For a structured book companion covering fundamentals with Scikit-Learn, PyTorch, and Hugging Face.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, PyTorch, and Hugging Face libraries.

For clean, framework-free implementations of classic ML algorithms.

Minimal and clean examples of machine learning algorithms implementations

For a university Keras course with a more applied focus.

T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis

For NumPy-only derivations that emphasize mathematical detail.

ML algorithms implemented and derived from first-principles in Jupyter Notebooks and NumPy

For a Chinese tutorial based on a popular deep learning course.

《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

For a structured course with assignments and classical ML coverage.

Open Machine Learning Course

For a lab-based MIT course on deep learning.

Lab Materials for MIT 6.S191: Introduction to Deep Learning

For a structured zero-to-mastery PyTorch course with video follow-along.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

For a modern, academic deep learning tutorial series from UvA.

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

For a complete beginner-level AI curriculum with lessons and labs.

12 Weeks, 24 Lessons, AI for All!

For a high-level fastai-based approach rather than raw PyTorch/TensorFlow.

The fastai book, published as Jupyter Notebooks

For a theoretical neural-network book without code examples.

邱锡鹏《神经网络与深度学习》第二版与通识版：电子书、章节目录、学习资源与勘误。

For legacy TensorFlow 1.x examples and a simpler, older presentation.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

For a systematic Chinese deep learning textbook with code, despite being inactive.

《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。

For an older scikit-learn-specific video companion.

Jupyter notebooks from the scikit-learn video series

For a smaller set of mini-projects, if you want a lighter project-based resource.

This repository contains mini projects in machine learning with notebook files

For a famous beginner coding challenge, though outdated.

100 Days of ML Coding

For a Chinese PyTorch handbook, but it is no longer updated.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

For plain Python implementations without external ML libraries.

Plain python implementations of basic machine learning algorithms

For a classic pattern-classification tutorial collection, though old.

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

For interactive visual explanations, if you prefer web-based articles over code.

Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/