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.

Onnx to coreML converter . CoreML 8.1 - mlpackage

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.

MLM Binary Tree

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.

🥚 **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!

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

An iOS app to identify the flower captured using camera and display info about it.

This is an iOS app that identifies the flower from its photo and also gives detailed information about it.

No description provided.

This CNN model uses the data of Histopathological images of Gastric cancer from Kaggle.

I trained a ton of style transfer .mlmodels and categorized them. This is effectivelly a "model zoo".

The GoogleNet model uses the data of Histopathological images of Gastric cancer from Kaggle.

This is a script designed to deploy a ML Model via Client-Side FastAPI !

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.

Applied advanced data cleaning and modeling techniques to predict auto insurance claims, focusing on crash probability and claim amounts. Expertise in handling high-dimensional, messy datasets and building interpretable models supports risk assessment and operational efficiency in the insurance domain.

Python , Ml learning , Yolo V8 library , rasberry-pi-4 , react js , javascript

🚀 Mobile-first plant disease detection using CoreML & CreateML An iOS app that leverages computer vision to classify plant diseases in real-time. Trained on 87k+ images, the model achieves good accuracy and works offline, making it ideal for farmers and agronomists in remote areas.

Credit Card Fraud Detection Using Python

featureEngineering project which contains an in depth dataset analysis on how ML algorithms accuracy change when dirtying features values

learning python day 4

Image Segmentation

A web scraper and Machine Learning project. The web scraper will gather the information, feed it to a Machine Learning Model, and then the MLM will predict who will win a future match.

This study applies Decision Tree (98.54% accuracy) and K-Means clustering to financial data analysis, demonstrating their effectiveness for fraud detection and predictive modeling (Wirawan, 2023).

This is a OdinSchool data science capstone project. The project is about creating prediction model for credit card approval for customers.