Ray 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/rayAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Ray 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/kerasLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluon《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
$ npx skills add d2l-ai/d2l-zhPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervision💫 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/datasetsUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralyticsAdvanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
$ npx skills add jacobgil/pytorch-grad-camStatistical Machine Intelligence & Learning Engine
$ npx skills add haifengl/smileA Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
$ npx skills add yzhao062/pyodA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/darts🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaHow 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 D2l En 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.