Question: I need a solution that enables me to deploy AI models in multiple formats, such as TensorFlow, ONNX, and CoreML, do you know of any?

Ultralytics is a full-stack vision AI platform that can run AI models in TensorFlow, ONNX and CoreML formats. It includes no-code AI model generation, mobile support, and real-time object detection with Ultralytics YOLO. The platform can be used by a wide range of industries and users, with pre-built templates and real-time training.

MLflow is an open-source MLOps platform for the full life cycle of machine learning and generative AI projects. It supports the most popular deep learning frameworks like TensorFlow and PyTorch, and offers a unified interface for managing ML workflows. MLflow is free to use and has a wealth of documentation and tutorials, making it a good choice for improving collaboration and efficiency in ML projects.

For a more developer-centric option, Replicate is an API-first service that makes it easy to run and scale open-source machine learning models. Replicate supports TensorFlow, ONNX and CoreML, among other formats, and offers features like one-click deployment, automatic scaling and custom model deployment. It's geared for developers who want to add AI abilities without worrying about the underlying infrastructure.

TensorFlow is an open-source platform that can run AI models in a variety of formats, including TensorFlow, ONNX and CoreML. It includes tools like the Keras API for easy model creation and TensorFlow Lite for deployment. TensorFlow is widely used across many industries and has a wealth of documentation and tutorials for beginners and experts, making it a good all-purpose option for deploying AI models.