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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-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
:speech_balloon: Machine Learning Course with Python:
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionNLTK Source
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$ npx skills add optuna/optuna🐍 Geometric Computer Vision Library for Spatial AI
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$ npx skills add unit8co/dartsDeep Learning for humans
$ npx skills add keras-team/kerasML.NET is an open source and cross-platform machine learning framework for .NET.
$ npx skills add dotnet/machinelearning💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxMachine Learning Systems
$ npx skills add harvard-edge/cs249r_bookPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3The Triton Inference Server provides an optimized cloud and edge inferencing solution.
$ npx skills add triton-inference-server/serverHow 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 Course 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.