#Coreml
Showing 60 of 72 repositories tagged #coreml, ranked by stars
Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite
Visualizer for neural network, deep learning and machine learning models
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
Run Stable Diffusion on Mac natively
Largest list of models for Core ML (for iOS 11+)
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Native Mac APIs for Go. Previously known as MacDriver
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobileγdesktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
π¨π»βπ» Examples of new iOS 11 APIs
π Curated list of articles, tutorials and repos that may help you dig a little bit deeper into iOS [and Apple Platforms].
Everything we actually know about the Apple Neural Engine (ANE)
Frontier CoreML audio models in your apps β text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
Converted CoreML Model Zoo.
Simple project to detect objects and display 3D labels above them in AR. This serves as a basic Template for an ARKit project to use CoreML.
A NSFW (aka porn) detector with CoreML
Code examples for ARKit.
Types and functions that make it a little easier to work with Core ML in Swift.
The challenge projects for Inferencing machine learning models on iOS
Visual programming language written in Swift that assembles to executable Swift code.
Samples and Tools for Windows ML.
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AI speech toolkit for Apple Silicon β ASR, TTS, speech-to-speech, VAD, and diarization powered by MLX and CoreML
A tool for converting ONNX files to LiteRT/TFLite/TensorFlow, PyTorch native code (nn.Module), TorchScript (.pt), state_dict (.pt), Exported Program (.pt2), and Dynamo ONNX. It also supports direct conversion from LiteRT to PyTorch.
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
A camera designed in Swift for easily integrating CoreML models - as well as image streaming, QR/Barcode detection, and many other features
Detects faces using the Vision-API and runs the extracted face through a CoreML-model to identiy the specific persons.
Single-file memory layer for AI agents, sub mili-second RAG on Apple Silicon. Metal Optimized On-Device. No Server. No API. One File. Pure Swift
Real-Time Semantic Segmentation in Mobile device
Export Hugging Face models to Core ML and TensorFlow Lite
iOS Core ML implementation of waifu2x
Collection of models for Core ML
π SimilaritySearchKit is a Swift package providing on-device text embeddings and semantic search functionality for iOS and macOS applications.
Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps π
Waifu2x-ios port to macOS, still in Core ML and Metal
Flutter plugin for Ultralytics YOLO
Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes
Simple project to recognize hands in realtime. π Serves as an Example for building your own object recognizer.
A Keras CTC implementation of Baidu's DeepSpeech for model experimentation
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
Run Stable Diffusion using Core ML on iOS within your Expo & React Native App
Vocalization sign language iOS App with deep learning using CoreML.
Real-time on-device text-to-image and image-to-image Semantic Search with video stream camera capture using USearch & UForm AI Swift SDKs for Apple devices π
π€ The Cocoa Artificial Intelligence Lab
Face Recognition and Detection on iOS Using Native Swift Code, Core ML, and ARKit
Source code for my blog post series "On-device training with Core ML"
A simple demo for Core ML
π¦ A central GitHub repository for sharing Core ML models
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performance and accurate media retrieval.
PyTorch & CoreML implementation of MediaPipe Hands
Core ML Guide
Create ML playgrounds for building machine learning models. For developers and data scientists.
Speaker diarization in Rust. 312β912x realtime on Apple Silicon, 50β121x on CUDA. Matches pyannote accuracy.
Implement some hair segmentation network and a color similarity calculating method.
Real-time Number Recognition using Apple's CoreML 2.0 and MNIST -
Fully local voice AI for iOS
A native iOS app for re-shooting regular photos from different angles.
Simplified AI runtime integration for mobile app development