A collection of computer vision tools that fits anywhere
-
Updated
May 10, 2024 - Jupyter Notebook
A collection of computer vision tools that fits anywhere
Revolutionizing Crop Disease Identification with AI 🌱🔍
基于大模型的智能对话客服工具,支持微信、千牛、哔哩哔哩、抖音企业号、抖音、抖店、微博聊天、小红书专业号运营、小红书、知乎等平台接入,可选择 GPT3.5/GPT4.0/ 懒人百宝箱 (后续会支持更多平台),能处理文本、语音和图片,通过插件访问操作系统和互联网等外部资源,支持基于自有知识库定制企业 AI 应用。
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
An Image Recognizer which can classify 15 different Sports Activities.
Mi página personal con un enfoque en tecnología.
Python supercharged for the fastai library
A comparative analysis of deep learning algorithms for multi label image classification using microscopic images.
Using Python, Fast.ait, & the Stanford Dogs Breed dataset to create a CNN using transfer learning to identify dog breeds
Train fastai models faster (and other useful tools)
This GitHub repository represents the 5th-year project (Graduation Project) at the College of IT Engineering, Al-Baath University. The students are: - Mohammed Al-Akhras - Aghiad Elwan Al-Hamwi - Abdul Mohaimen Safaf - Hamdi Diab - Baraa Berkdar
A Streamlit app to predict what is cooking
Create delightful software with Jupyter Notebooks
The 3rd edition of course.fast.ai
Data Science & Artificial Intelligence Practicum
DeepWeight automates the manual billing process by using a load cell to measure weight, USB camera to capture image, predict fruit type using a deep learning model and printer to print a receipt.
Add a description, image, and links to the fastai topic page so that developers can more easily learn about it.
To associate your repository with the fastai topic, visit your repo's landing page and select "manage topics."