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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
Seamlessly integrate LLMs into scikit-learn.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningA python library for user-friendly forecasting and anomaly detection on time series.
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$ npx skills add triton-inference-server/server:book: [译] scikit-learn（sklearn） 中文文档
$ npx skills add apachecn/sklearn-doc-zhUltralytics YOLOv3 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov3🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaAn open source python library for automated feature engineering
$ npx skills add alteryx/featuretoolsDeep universal probabilistic programming with Python and PyTorch
$ npx skills add pyro-ppl/pyroModelScope: bring the notion of Model-as-a-Service to life.
$ npx skills add modelscope/modelscopeHow 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 Scikit Llm 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.