Campaign Playbook: Community NFT Giveaway

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Updated at 05/05/2022

Campaign Playbook: Community NFT Giveaway

Instructions

Complete any of the machine learning tasks below and get a utility-enabled NFT as your community avatar. 300 NFTs will be given out on a first come first serve basis; there will be no extra NFTs or exceptions!

The NFTs are split into Rare(90%) and Super Rare(10%). Completing Master Challenge will take you straight to the Super Rare NFT. Go and check them out!

Note: All task submissions are in the Discord channel, join now!

	Task	Submit	🎁 Rewards
Get started with Graviti AI Community	Follow the beginner’s guide on Colab. This allows you to experiment with model training and evaluation using Graviti Open Datasets. With just a few clicks, you can get an NFT!	Follow the Colab instructions, DM the result in Discord to `Shiming Xiao`.	🎁 NFT * 1
Publish Notebook	Publish a Notebook about the following topics on https://community.graviti.com/notebook, share the Notebook link to Twitter, and tag us @graviti_ai Projects: The past machine learning project you made, show them to the community! Experience or Insights: Any ML experience or tricks you want to share with the community including infra stacks you recommend, a step-by-step guide for an algorithm/ application, competition experience, and so on, but NO advertising. Feedback on Graviti: Found a creative way while using Graviti Data Platform? Let us know! Note: Notebook module is more like a markdown editor rignt now, can’t running code. How to contribute Notebooks: here’s the instruction	Share the Tweet link to `#I-made-this`	🎁 NFT * 1
Master Challenge	Build your own project using listed open datasets and Tensorbay SDK, and publish the project’s introduction and the step-by-step building guide to Community Notebook.	Publish on Community Notebook, and share the Notebook link to `#I-made-this`	a. Super Rare NFT * 1 b. Exposure in Graviti AI Community: Your profile and projects will get an enormous amount of exposure in our community. c. Early access to the open-sourced schema language Portex, which will enable a new way of organizing data - a columnar data table for unstructured data.
Easter Egg	There will be Easter eggs during the campaign. A 24-hour flash secret task will be announced in our discord server. Stay tuned!	The submission method will be announced together with the task	🎁 NFT * 1

Review and rewards rules

We manually verify all submissions to see if the submission is valid.
We will review the results within 1 working day after the submission. Shiming Xiao will DM you the results.
We wish notebooks can help community members share projects and machine learning experiences effectively. Notebooks that are extremely off-topic, of low quality, or plagiarized will be removed at the discretion of the community and moderators.
You will be invited to #whitelist after reviewing. Click on the button at the bottom you can submit/resubmit the wallet address, or check your submissions.
How to create my wallet, submit my wallet address and check my NFTs : here’s the instruction.

Notice

There are 300 NFTs in total on a first come first serve basis. Each user can get up to 5 NFTs.
Everyone can only submit the “Get started with Graviti AI Community” task and the “Easter Egg” task for once. While you can submit several “Publish Notebook” tasks and “Master Challenge” ( and get NFT * n!)
If you have any questions about the launch campaign, free feel to ask in #nft-giveaway and @Rachel Tang
Graviti reserves the right to a final explanation.

Useful Links

Join Graviti AI Community Discord: https://discord.gg/6P7batQgXK
A quick go-through of access and manage Open Datasets through SDK, integrate with Pytorch to train model, visualize the evaluation results and see the diff against ground-truth. Take the object detection task as an example https://colab.research.google.com/drive/1P9_ibWhBuPxcM6r7tK7PIZPqUpxDAGzq?usp=sharing
Full introduction of how to integrate with PyTorch, Tensorflow, Paddlepaddle: https://github.com/Graviti-AI/datasets/blob/main/How_to_use_Tutorial.md
Graviti Data Platform Walkthrough Demo: https://us-tutu.s3.us-west-1.amazonaws.com/company-website/Video/Graviti+Data+Platform+Product+Demo.mp4
Python SDK Document: https://tensorbay-python-sdk.graviti.com/en/stable/
How to contribute-Datasets：https://community.graviti.com/notebook/detail?notebookId=d374bfbdec9944c79c23dd7c30a7c299
How to contribute-Notebook：https://community.graviti.com/notebook/detail?notebookId=299f010b83b847baa5640e6c648d6e08

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