#1
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-BeginnersAlternatives
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
84
Trust
4.8K
Stars
#2
⛔️ 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#3
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/ray#4
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
31K starsJun 10, 2026 pushml-automationPythonMachine Learning
$ npx skills add Lightning-AI/pytorch-lightning#5
Deep Learning for humans
64K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add keras-team/keras#6
💫 Industrial-strength Natural Language Processing (NLP) in Python
34K starsMay 19, 2026 pushml-automationPythonMachine Learning
$ npx skills add explosion/spaCy#7
List of Computer Science courses with video lectures.
82K starsJun 15, 2026 pushml-automationMachine Learning
$ npx skills add Developer-Y/cs-video-courses#8
Low-code framework for building custom LLMs, neural networks, and other AI models
12K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add ludwig-ai/ludwig#9
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
11K starsJul 23, 2026 pushml-automationPythonMachine Learning
$ npx skills add wandb/wandb#10
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
34K starsMar 25, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add openai/CLIP#11
Fast and Accurate ML in 3 Lines of Code
10K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add autogluon/autogluon#12
Data science interview questions and answers
10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviews#13
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners#14
Google Research
38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research#15
A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
9.9K starsJun 5, 2026 pushml-automationPythonMachine Learning
$ npx skills add yzhao062/pyod#16
A python library for user-friendly forecasting and anomaly detection on time series.
9.4K starsJun 6, 2026 pushml-automationPythonMachine Learning
$ npx skills add unit8co/dartsHow 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.