Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using 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-lightningA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsDeep Learning for humans
$ npx skills add keras-team/keras💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorch🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaStanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
$ npx skills add stanfordnlp/stanza⚡ TabPFN: Foundation Model for Tabular Data ⚡
$ npx skills add PriorLabs/TabPFN⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlRay 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/ray🤗 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/datasetsOpen standard for machine learning interoperability
$ npx skills add onnx/onnxDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionMachine Learning Systems
$ npx skills add harvard-edge/cs249r_bookA log of things I'm learning
$ npx skills add amitness/learningNLTK Source
$ npx skills add nltk/nltkHow 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 Refined 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.