#1
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；上架；欢迎继续纠错，纠错多的同学还会有赠书！
7.5K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book3_Elements-of-MathematicsAlternatives
ML Foundations alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
ML Foundations
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
77
Quality
87
Trust
4.8K
Stars
#2
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
9.9K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book4_Power-of-Matrix#3
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
3.3K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book7_Visualizations-for-Machine-Learning#4
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
34K starsOct 11, 2025 pushml-automationC++Machine Learning
$ npx skills add TheAlgorithms/C-Plus-Plus#5
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
87K starsJun 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/ML-For-Beginners#6
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
26K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add ageron/handson-ml#7
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
11K starsApr 16, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/numerical-linear-algebra#8
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
7.5K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add h2oai/h2o-3#9
:earth_americas: machine learning tutorials (mainly in Python3)
3.4K starsJun 5, 2026 pushml-automationHTMLMachine Learning
$ npx skills add ethen8181/machine-learning#10
Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
22K starsAug 7, 2024 pushml-automationCMachine Learning
$ npx skills add TheAlgorithms/C#11
AI实战-practicalAI 中文版
6.9K starsApr 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add MLEveryday/practicalAI-cn#12
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
4.4K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/FLAML#13
Probabilistic reasoning and statistical analysis in TensorFlow
4.4K starsMay 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add tensorflow/probability#14
Jupyter notebooks from the scikit-learn video series
3.8K starsMar 5, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add justmarkham/scikit-learn-videos#15
Debugging, monitoring and visualization for Python Machine Learning and Data Science
3.5K starsMar 30, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/tensorwatch#16
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
4.0K starsDec 28, 2025 pushml-automationPythonMachine Learning
$ npx skills add deepchecks/deepchecksHow to choose
When should you switch?
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep ML Foundations if it already passes your workflow test and repository review.
Next step
Compare top candidates side by side
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.