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  • ๐Ÿ‘‹ Hi, Iโ€™m @Michael.Yao
  • ๐Ÿ‘€ Iโ€™m interested in writing what is meaningful in my life.
  • ๐ŸŒฑ Iโ€™m currently learning the knowledge of cloud compute at DaoCloud.
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on everyone here to write more interesting stories.
  • ๐Ÿ“ซ You can reach me with [email protected]
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Michael's Projects

agentgpt icon agentgpt

๐Ÿค– Assemble, configure, and deploy autonomous AI Agents in your browser.

aikdocs icon aikdocs

Build a knowledge base with AI for cncf projects

cilium icon cilium

eBPF-based Networking, Security, and Observability

cloudtty icon cloudtty

A Friendly Kubernetes CloudShell (Web Terminal) !

cncf-foundation icon cncf-foundation

โ˜๏ธโ™ฎ๐Ÿ›File non-technical issues related to CNCF

cncf-glossary icon cncf-glossary

The CNCF Cloud Native Glossary Project aims to define cloud native concepts in clear and simple language, making them accessible to anyone โ€” whether they have a technical background or not (https://glossary.cncf.io).

cncf-landscape icon cncf-landscape

๐ŸŒ„ The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding or market cap, first and last commits, contributor counts, headquarters location, and recent tweets.

colossalai icon colossalai

Making large AI models cheaper, faster and more accessible

community icon community

Here you can find community content around Spiderpool

dashboard icon dashboard

General-purpose web UI for Kubernetes clusters

datatunerx icon datatunerx

Large language model fine-tuning capabilities based on cloud native and distributed computing.

developer-roadmap icon developer-roadmap

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

docusaurus icon docusaurus

Easy to maintain open source documentation websites.

fast icon fast

Fast is a Kubernetes CNI based on eBPF implementation

fedstate icon fedstate

ๅŸบไบŽKarmada็š„่”้‚ฆไธญ้—ดไปถ

huggingface icon huggingface

๐Ÿค— Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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