#1
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/CLIPAlternatives
Machine Learning Basics alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning Basics
Plain python implementations of basic machine learning algorithms
77
Quality
80
Trust
4.4K
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#2
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#3
12 Weeks, 24 Lessons, AI for All!
48K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add microsoft/AI-For-Beginners#4
Google Research
38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research#5
⛔️ 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#6
The fastai deep learning library
28K starsMay 20, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add fastai/fastai#7
A game theoretic approach to explain the output of any machine learning model.
26K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add shap/shap#8
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
97K starsJun 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/LLMs-from-scratch#9
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
18K starsMay 19, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add meta-llama/llama-cookbook#10
Free MLOps course from DataTalks.Club
15K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/mlops-zoomcamp#11
Learn ML engineering for free in 4 months! Register here 👇🏼
13K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/machine-learning-zoomcamp#12
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#13
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
9.5K starsMay 21, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add roboflow/notebooks#14
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.
7.6K starsJun 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add NirDiamant/Prompt_Engineering#15
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
162K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add huggingface/transformers#16
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/rayHow 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 Machine Learning Basics if it already passes your workflow test and repository review.
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Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.