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Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
43K starsJun 16, 2026 pushml-automationPythonMachine Learning
$ npx skills add ray-project/rayAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
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/wandbFast and Accurate ML in 3 Lines of Code
$ npx skills add autogluon/autogluon🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
$ npx skills add huggingface/transformersDeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
$ npx skills add deepspeedai/DeepSpeedPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/kerasUltralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
$ npx skills add ultralytics/yolov5Deepfakes Software For All
$ npx skills add deepfakes/faceswapWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervision💫 Industrial-strength Natural Language Processing (NLP) in Python
$ npx skills add explosion/spaCyA Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
$ npx skills add serengil/deepface🤗 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/ultralyticsTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchOpen standard for machine learning interoperability
$ npx skills add onnx/onnxHow 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 Deephyper 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.