├── .github └── workflows │ └── readme-topics.yml ├── README.md └── LICENSE /.github/workflows/readme-topics.yml: -------------------------------------------------------------------------------- 1 | name: readme-topics 2 | run-name: Update README.md with repos categorized by topic 3 | on: 4 | schedule: 5 | - cron: "0 0 * * 0" 6 | workflow_dispatch: 7 | jobs: 8 | generate-topics: 9 | runs-on: ubuntu-latest 10 | steps: 11 | - uses: metaory/github-readme-topics-action@v1 12 | env: 13 | GH_PAT: ${{ secrets.GITHUB_TOKEN }} # your personal-access-tokens with write permission 14 | with: 15 | # USERNAME: metaory # OPTIONAL; the committer username, defaults to repository owner (GITHUB_REPOSITORY_OWNER) 16 | # REPOSITORY: playground # OPTIONAL; the repository name to update its readme, defaults to current repository (GITHUB_REPOSITORY) 17 | EMAIL: love4yzp@gmail.com # REQUIRED; the committer email address 18 | TOPICS: |- # REQUIRED; list of topics to group by 19 | jetson 20 | edge 21 | sensecap 22 | xiao 23 | grove 24 | automation 25 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 |

2 | 3 | Seeed Studio 4 | 5 |

6 | 7 |
8 | 9 |

👋Seeed Projects👋

10 | 11 | Welcome to Seeed Projects, a collection of demos and examples showcasing the capabilities of Seeed Studio products. This repository serves as a resource hub for developers, makers, and technology enthusiasts looking to explore and implement projects using Seeed Studio's innovative platforms. 12 | 13 |
14 | 15 | ## About This Repository 16 | 17 | **Seeed Projects** is an organized repository where you can find practical demonstrations and project ideas that leverage Seeed Studio's technology. Whether you are a beginner looking to get started with IoT devices, or an experienced developer seeking to expand your toolkit, this repository provides valuable resources to help you achieve your goals. 18 | 19 | Each project in this repository is designed to provide a hands-on learning experience, demonstrating practical applications of Seeed Studio products. The projects range from simple tutorials to complex integrations, catering to a variety of skill levels and interests. 20 | 21 | ## Getting Started 22 | 23 | To get started with the projects in this repository, follow these steps: 24 | 25 | 1. **Explore the Projects:** Browse through the repository to find projects that interest you. 26 | 2. **Read the Documentation:** Each project comes with its own README file containing detailed instructions on setup, configuration, and operation. 27 | 3. **Download and Set Up:** Clone the repository and follow the project-specific setup instructions. 28 | 4. **Contribute:** If you have ideas for new projects or improvements, feel free to fork the repository and submit your contributions through pull requests. 29 | 30 | We hope you find these projects inspiring and helpful in your journey with Seeed Studio's products. Happy building! 31 | 32 | 33 | 34 | ## Topics 35 | 36 | 37 | ### AUTOMATION 38 | 39 | | Name | Description | Stars | Language | Update | 40 | | ----- | ----------- | ----- | -------- | ------ | 41 | 42 | ### EDGE 43 | 44 | | Name | Description | Stars | Language | Update | 45 | | ----- | ----------- | ----- | -------- | ------ | 46 | 47 | ### GROVE 48 | 49 | | Name | Description | Stars | Language | Update | 50 | | ----- | ----------- | ----- | -------- | ------ | 51 | 52 | ### JETSON 53 | 54 | | Name | Description | Stars | Language | Update | 55 | | ----- | ----------- | ----- | -------- | ------ | 56 | | [jetson-examples](https://github.com/Seeed-Projects/jetson-examples) | The jetson-examples repository by Seeed Studio offers a seamless, one-line command deployment to run vision AI and Generative AI models on the NVIDIA Jetson platform. | 147 | Shell | last month | 57 | | [reComputer-Jetson-for-Beginners](https://github.com/Seeed-Projects/reComputer-Jetson-for-Beginners) | Beginner's Guide to reComputer Jetson | 105 | Python | 5 months ago | 58 | | [RAG_based_on_Jetson](https://github.com/Seeed-Projects/RAG_based_on_Jetson) | This project has implemented the RAG function on Jetson and supports TXT and PDF document formats. It uses MLC for 4-bit quantization of the Llama2-7b model, utilizes ChromaDB as the vector database, and connects these features with Llama_Index. I hope you like this project. | 8 | Python | 9 months ago | 59 | 60 | ### SENSECAP 61 | 62 | | Name | Description | Stars | Language | Update | 63 | | ----- | ----------- | ----- | -------- | ------ | 64 | 65 | ### XIAO 66 | 67 | | Name | Description | Stars | Language | Update | 68 | | ----- | ----------- | ----- | -------- | ------ | 69 | 70 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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