Project for the ACS course based on research of Apple Neural Engine
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Updated
May 18, 2024 - Jupyter Notebook
Project for the ACS course based on research of Apple Neural Engine
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Autonomous attendance system based on mobile applications, UHF RFID and NFC. Funded by Vietnam National University, Ho Chi Minh City (VNU-HCM).
AnnotateEase - Easily and quickly label text data.
This is an iOS app that identifies the flower from its photo and also gives detailed information about it.
Converted CoreML Model Zoo.
CLI for converting UForm models to CoreML.
iOS image classification app using Core ML and MobileNet
Export Hugging Face models to Core ML and TensorFlow Lite
A curated collection of iOS, ML, AR resources sprinkled with some UI additions
PyTorch to CoreML: Writing custom layers with Metal shaders (warping / grid sample operation) https://medium.com/@ovechko.056/pytorch-to-coreml-writing-custom-layers-with-metal-e8922b51895
Convmelspec: Convertible Melspectrograms via 1D Convolutions
Introduction to XGBoost with an Implementation in an iOS Application
Largest list of models for Core ML (for iOS 11+)
A self-taught project about Machine Learning & Deep Learning with Python. Thanks to the countless researchers and developers around the world and their open-source code, particularly Python-based open-source code!
Final Draft for the 4th Year Project Submission. Saves image for each scan, along with the text detected into a PDF.
Tool for exporting Apple Neural Engine-accelerated versions of transformers models on HuggingFace Hub.
Hand-gesture recognition on iOS app using CoreML
CoreML compatible GRU neural network for dynamic prediction
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