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Learn how to develop, deploy and iterate on production-grade ML applications.
48K starsMar 4, 2026 pushml-automationJupyter NotebookMLOps
$ npx skills add GokuMohandas/Made-With-MLAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Learn AI together, for free. AI learning and teaching resources for everyone.
Learn how to develop, deploy and iterate on production-grade ML applications.
$ npx skills add GokuMohandas/Made-With-ML⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlAlways know what to expect from your data.
$ npx skills add fivetran/great_expectationsPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightning💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronOpen standard for machine learning interoperability
$ npx skills add onnx/onnxThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandb12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-Beginners12 Weeks, 24 Lessons, AI for All!
$ npx skills add microsoft/AI-For-BeginnersImplement a ChatGPT-like LLM in PyTorch from scratch, step by step
$ npx skills add rasbt/LLMs-from-scratchAim 💫 — An easy-to-use & supercharged open-source experiment tracker.
$ npx skills add aimhubio/aimRay is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
$ npx skills add ray-project/rayDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5An Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowHow 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 Machine Learning 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.