handson-mlp 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 handson-mlp among their alternatives. The relationship is not symmetric — how handson-mlp rates them is a separate judgement, made when handson-mlp is analysed in its own right.
calls handson-mlp “Choose for a modern, actively maintained book companion covering ML and DL with current libraries.”
The "Python Machine Learning (1st edition)" book code repository and info resource
calls handson-mlp “For a structured book companion covering fundamentals with Scikit-Learn, PyTorch, and Hugging Face.”
A resource for learning about Machine learning & Deep Learning
calls handson-mlp “Pick if you want an ML book-code repo that uses PyTorch/HuggingFace in addition to scikit-learn rather than the seed's scikit-learn-only examples.”
Notebooks and code for the book "Introduction to Machine Learning with Python"
calls handson-mlp “When you need the same PyTorch-based notebook format in an actively maintained English version covering both ML and deep learning.”
AI实战-practicalAI 中文版
calls handson-mlp “choose for the modern Hands-On ML book notebooks using Scikit-Learn, Keras, and TF; a comprehensive alternative.”
100 Days of ML Coding
calls handson-mlp “choose for ML/DL using PyTorch/Hugging Face; seed uses classical scikit-learn”
Python Data Science Handbook: full text in Jupyter Notebooks
calls handson-mlp “Choose for a comprehensive, book-led ML/DL course with PyTorch and Hugging Face if you prefer a textbook approach.”
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
calls handson-mlp “choose when you want a comprehensive ML book covering multiple libraries instead of a PyTorch-focused handbook.”
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
calls handson-mlp “Use for notebooks accompanying Hands-On ML, good for scikit-learn/PyTorch practice, but not a Chinese theory book.”
《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
calls handson-mlp “when you prefer a code-first ML book using PyTorch/Hugging Face instead of the seed's scikit-learn focus.”
Open Machine Learning Course
calls handson-mlp “Choose when you want a notebook-based book covering Scikit-Learn, PyTorch, and Hugging Face rather than MIT's labs.”
Lab Materials for MIT 6.S191: Introduction to Deep Learning
calls handson-mlp “Use it for code-first Scikit-Learn/PyTorch/Hugging Face ML/DL tutorials instead of a broad math/CS compendium.”
Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.
calls handson-mlp “PyTorch-based ML/DL notebook course; choose when you prefer PyTorch over TensorFlow.”
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
calls handson-mlp “choose for the notebooks from Géron's Hands-On ML book; it offers executable examples but not the book's full narrative.”
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。