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Coreml Models

Coreml Models is a public repository of PyTorch models converted into Core ML .mlpackage bundles, with conversion scripts and linked SwiftUI sample apps for iOS and macOS. Its catalog covers computer vision, image generation, audio and language tasks. Developers can download a listed model and bundle it in an app project; examples are available for some models.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Coreml Models — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when developing an iOS or macOS app with an existing Core ML integration and you need to browse available converted models or inspect a linked sample.

Who it is for

  • iOS and macOS developers looking for a converted Core ML model for an app.
  • Developers who want a SwiftUI sample project to examine for a listed model.
  • Teams evaluating model options for tasks such as detection, segmentation, image restoration or audio processing.

Documented uses

  • Browse models by task and identify a candidate for an Apple app.
  • Download a listed .mlpackage and bundle it in a project.
  • Use a linked SwiftUI sample to understand a model's app integration.
  • Use included conversion scripts as resources when working with PyTorch-to-Core-ML conversions.
Before you choose

Requirements & limits

The repository is publicly accessible. Model packages are linked for download; the README identifies Google Drive as a download source.

  • The catalog contains many task areas, but packages and sample projects are model-specific.
  • The README directs developers to download a selected model and bundle it in their project.
  • Each model follows its original project's license, so licensing needs to be checked per model.
  • The repository uses .mlpackage bundles; its README distinguishes these from .aimodel bundles used by separate Core AI resources.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Add a catalog model to an app project

Find a Core ML model, download its package and bundle it in an iOS or macOS project.

Before you start

  • An iOS or macOS project that can use Core ML.
  • A model selected from the repository catalog.

Steps

  1. Browse the catalog and choose a model for the required task.

  2. Download the model from its linked Google Drive location.

  3. Bundle the downloaded model in the app project.

  4. If the entry links a sample project, inspect it to see how that model is used.

Expected outcome

The selected Core ML model package is included in the project; a linked sample may provide an integration example.

Guide limitations

  • The README describes the package download and bundling workflow but does not provide a universal integration procedure for every model.
  • Each model follows the license of its original project; check that license before use.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
16 October 2026
Original website title
john-rocky/CoreML-Models · Official homepage title · retained in its source language
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Related options

Core AI start page — A separate set of resources for .aimodel bundles and custom local models in new Swift apps; the README distinguishes that route and format from this repository's Core ML .mlpackage