#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
ISLR Python alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
ISLR Python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
77
Quality
82
Trust
4.4K
Stars
#2
Google Research
38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research#3
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
18K starsFeb 11, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add mrdbourke/pytorch-deep-learning#4
Free MLOps course from DataTalks.Club
15K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/mlops-zoomcamp#5
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
18K starsJan 9, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add NLP-LOVE/ML-NLP#6
A scikit-learn compatible neural network library that wraps PyTorch
6.2K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add skorch-dev/skorch#7
AI实战-practicalAI 中文版
6.9K starsApr 2, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add MLEveryday/practicalAI-cn#8
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#9
Code Repository for Machine Learning with PyTorch and Scikit-Learn
5.2K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add rasbt/machine-learning-book#10
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-Mathematics#11
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
4.7K starsJun 15, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add py-why/EconML#12
A high performance implementation of HDBSCAN clustering.
3.1K starsJun 12, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add scikit-learn-contrib/hdbscan#13
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
3.7K starsMay 1, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add Visualize-ML/Book5_Essentials-of-Probability-and-Statistics#14
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#15
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
22K starsJul 25, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add zergtant/pytorch-handbook#16
Solve puzzles. Learn CUDA.
12K starsSep 1, 2024 pushml-automationJupyter NotebookMachine Learning
$ npx skills add srush/GPU-PuzzlesHow 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 ISLR Python if it already passes your workflow test and repository review.
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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.