#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
EconML alternatives for AI agents.
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
EconML
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.
97
Quality
86
Trust
4.7K
Stars
#2
Google Research
38K starsJun 16, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add google-research/google-research#3
Free MLOps course from DataTalks.Club
15K starsJun 10, 2026 pushml-automationJupyter NotebookMachine Learning
$ npx skills add DataTalksClub/mlops-zoomcamp#4
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
8.2K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add py-why/dowhy#5
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#6
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#7
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
28K starsJun 16, 2026 pushml-automationC++Machine Learning
$ npx skills add dmlc/xgboost#8
The world's simplest facial recognition api for Python and the command line
57K starsJun 25, 2026 pushml-automationPythonMachine Learning
$ npx skills add ageitgey/face_recognition#9
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
80K starsFeb 5, 2026 pushml-automationMachine Learning
$ npx skills add mlabonne/llm-course#10
The Modular Platform (includes MAX & Mojo)
26K starsJun 16, 2026 pushml-automationMojoMachine Learning
$ npx skills add modular/modular#11
Datasets, Transforms and Models specific to Computer Vision
18K starsJun 15, 2026 pushml-automationPythonMachine Learning
$ npx skills add pytorch/vision#12
Tensor library for machine learning
15K starsJun 15, 2026 pushml-automationC++Machine Learning
$ npx skills add ggml-org/ggml#13
NLTK Source
15K starsJun 11, 2026 pushml-automationPythonMachine Learning
$ npx skills add nltk/nltk#14
A hyperparameter optimization framework
14K starsJun 12, 2026 pushml-automationPythonMachine Learning
$ npx skills add optuna/optuna#15
邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版
19K starsJun 1, 2026 pushml-automationMachine Learning
$ npx skills add nndl/nndl#16
Data science interview questions and answers
10K starsJun 1, 2026 pushml-automationHTMLMachine Learning
$ npx skills add alexeygrigorev/data-science-interviewsHow 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 EconML 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.