Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
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Visualizer for neural network, deep learning and machine learning models
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
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.
- machine-learning
- decision-trees
- gradient-boosting
- gbm
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.
- cntk
- visualization
- tensorflow
- model-converter
Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.
A NSFW (aka porn) detector with CoreML
- coreml
- swift
- lovoo
- ios
Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.
- core-ml
- mps
- metal
- machine-learning
The MobileNet neural network using Apple's new CoreML framework
- core-ml
- machine-learning
- mobilenet
- ios
👀 iOS11 demo application for age and gender classification of facial images.
- ios
- swift
- swift4
- vision
Style Art library process images using COREML with a set of pre trained machine learning models and convert them to Art style.
- coreml
- prisma
- neural-network
- ios
Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
😃 iOS11 demo application for sentiment polarity analysis.
- ios
- swift
- swift4
- coreml
🌸 iOS11 demo application for flower classification.
- ios
- swift
- swift4
- vision
🖼 iOS11 demo application for image style classification.
- ios
- swift
- swift4
- vision
Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.
- ios
- coreml
- coreml-framework
- swift
An example of CoreML using a pre-trained VGG16 model
- swift
- coreml
- ios11
- xcode9
🌅 iOS11 demo application for visual sentiment prediction.
- ios
- swift
- swift4
- vision
🏷 iOS11 demo application for predicting gender from first names.
- ios
- swift
- swift4
- coreml
A demo for iOS machine learning framework : Core ML
Lightweight on-device keyword spotting engine for iOS using CoreML and real-time audio streaming.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.
- asr
- conformer
- coreml
- ios
CoreML Project that predicts the most likely next chord based on the entered Chord Progression. This project is based on the following AI Model project and article https://medium.com/@huanlui/chordsuggester-i-3a1261d4ea9e