Tutorial-of-AI-Kit-with-Raspberry-Pi-From-Zero-to-Hero
This repository provides a comprehensive step-by-step guide to building AI projects using the Raspberry Pi AI Kit.
Stars: 179
This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a focus on using an AI kit for computer vision tasks. Learn to integrate AI into IoT applications, from object detection to visual recognition. Suitable for hobbyists, students, and professionals to bring AI-driven solutions to life on resource-constrained devices like the Raspberry Pi.
README:
- Play your AI Kit from Beginner to Expert -
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This course is designed to teach you how to harness the power of AI on the Raspberry Pi, with a particular focus on using an AI kit to perform essential computer vision tasks. Throughout the course, you'll learn how to integrate AI into real-world IoT (Internet of Things) applications, from object detection and image classification to more complex visual recognition tasks. We will guide you step-by-step through setting up your Raspberry Pi, using AI frameworks, and deploying these models in various practical scenarios. Whether you are a hobbyist, a student, or a professional, this course will provide you with the foundational knowledge and hands-on experience necessary to bring AI-driven solutions to life on resource-constrained devices like the Raspberry Pi.
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Introduction to Machine Learning with Python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
Programming Computer Vision with Python
Deep Learning for Computer Vision
Deep Learning for Natural Language Processing: Creating Neural Networks with Python
β³ Indicates in progress, βοΈ indicates completed.
- βοΈ Introduction of Artificial Intelligence
- βοΈ Introduction of Deep Neural Network
- βοΈ Introduction of Convolutional Neural Network
- βοΈ Introduction of Computer Vision
- βοΈ Introduction of Large Language Model
- βοΈ Introduction to Pytorch in Raspberry Pi Environment
- βοΈ Introduction to TensorFlow in Raspberry Pi Environment
- βοΈ Introduction to OpenCV in Raspberry Pi Environment
- βοΈ Introduction to Ultralytics in Raspberry Pi Environment
- β³ Introduction to Hailo in Raspberry Pi Environment
- βοΈ Setup Ollama on RaspberryPi
- βοΈ Run Llama on RaspberryPi
- βοΈ Run Gemma2 on RaspberryPi
- βοΈ Run Phi3.5 on RaspberryPi
- βοΈ Run Multimodal on RaspberryPi
- βοΈ Use Ollama with Python
- βοΈ Training
- βοΈ Converting
- βοΈ Deploying
Open for everyone to contribute
See the open issues for a full list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please follow this Contributor Guidelines and contribute your own code.
Don't forget to give the project a star! Thanks again!
Distributed under the MIT License. See LICENSE for more information.
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