12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Machine Learning Projects and Learning Content
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersGoogle Research
$ npx skills add google-research/google-researchCLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
$ npx skills add openai/CLIPFree MLOps course from DataTalks.Club
$ npx skills add DataTalksClub/mlops-zoomcampML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearningA game theoretic approach to explain the output of any machine learning model.
$ npx skills add shap/shap⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlScalable, 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
$ npx skills add dmlc/xgboostPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowCourse to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
$ npx skills add mlabonne/llm-courseVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe Modular Platform (includes MAX & Mojo)
$ npx skills add modular/modularDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionHow to choose
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 if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.