A group of notebooks and other files which can help you learn AI from scratch.
Automatically check mismatch between code and comments using AI and ML
This model is very useful to detecting cars, buses, and trucks in a video.
GPT2 running locally on the Apple Watch Ultra 2
A Xamarin.Forms app for UWP, Android & iOS showcasing how to use Custom Vision Service with either online and offline models.
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.
Onnx to coreML converter . CoreML 8.1 - mlpackage
MLM Binary Tree
AI-powered Resume Analyzer & Interview Preparation Platform that evaluates resumes, detects skill gaps, recommends jobs, and generates personalized interview strategies using ML + LLMs.(also having community chat support and leetcode gread system my plan/to-do section)
🥚 **Egg Quality Grading Project with OpenCV** 🥚 Revolutionizing egg sorting in the poultry industry using OpenCV and ML! 🚀 Our model classifies eggs like Brown, White, and more, enhancing automation in large farms. 🐔 It detects egg types, sorts them, and reduces errors, boosting efficiency. Embrace ML's growing role in industrial automation!
Epsilon is a bidirectional transformer trained via masked language modeling.
Face-Emotion-Recognition using a model trained over MobileNet with an accuracy of 70%
Minimal example showing how to convert ONNX models to CoreML using Docker and a pinned environment.
An iOS app to identify the flower captured using camera and display info about it.
BetterRest is a SwiftUI application that helps users determine the optimal bedtime based on their desired wake-up time, amount of sleep needed, and daily coffee intake. The app leverages CoreML to make predictions about the best time to go to bed. Designed for 100DaysOfSwiftUI
This is an iOS app that identifies the flower from its photo and also gives detailed information about it.
This CNN model uses the data of Histopathological images of Gastric cancer from Kaggle.
The study uses the IRSE/FIRE dataset and explores the impact of combining original C code data with Python-derived silver-standard
CoreML conversion of all-MiniLM-L6-v2 with a full SwiftUI demo, tokenizer implementation, model resources, and conversion script for easy on-device text embeddings.
simple C++ neural network service
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