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
PLynx is a domain agnostic platform for managing reproducible experiments and data-oriented workflows.
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/rayThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
$ npx skills add wandb/wandbH2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
$ npx skills add h2oai/h2o-3Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightning12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
$ npx skills add microsoft/ML-For-BeginnersDeep Learning for humans
$ npx skills add keras-team/kerasAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflow💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCy⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlA fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
$ npx skills add lightgbm-org/LightGBMA hyperparameter optimization framework
$ npx skills add optuna/optunaLow-code framework for building custom LLMs, neural networks, and other AI models
$ npx skills add ludwig-ai/ludwigFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluonA 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/dartsVisualizer for neural network, deep learning and machine learning models
$ npx skills add lutzroeder/netronHow 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 Plynx 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.