Automatically check mismatch between code and comments using AI and ML
-
Updated
Jun 28, 2021 - Python
Automatically check mismatch between code and comments using AI and ML
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.
This model is very useful to detecting cars, buses, and trucks in a video.
MLM Binary Tree
An iOS app to identify the flower captured using camera and display info about it.
I trained a ton of style transfer .mlmodels and categorized them. This is effectivelly a "model zoo".
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
Face-Emotion-Recognition using a model trained over MobileNet with an accuracy of 70%
Python , Ml learning , Yolo V8 library , rasberry-pi-4 , react js , javascript
This is an iOS app that identifies the flower from its photo and also gives detailed information about it.
📉 MLM, impact of vehicle factors on car accidents analysis
🥚 **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!
This is a OdinSchool data science capstone project. The project is about creating prediction model for credit card approval for customers.
Diabetes Prediction using Python
Credit Card Fraud Detection Using Python
CoreML and Machine & Learning Advanced CoreML - CoreML Tools & Converting Models - GitHub of The App Brewery : https://github.com/appbrewery/WhatFlower-Completed-iOS13
learning python day 4
Add a description, image, and links to the mlmodel topic page so that developers can more easily learn about it.
To associate your repository with the mlmodel topic, visit your repo's landing page and select "manage topics."