Beginner score
30/100
Competition workspace
适合已有操作系统、系统性能优化或开源平台开发基础,并能按具体赛题选择方向的开发者和研究生。不同题目分别涉及 openEuler、openKylin、OpenHarmony、openvela、RISC-V、eBPF、机器人及云边端资源调度;高校赛题与社区赛题的具体报名资格,页面未说明。
Suggested next step
Decide whether this contest fits your current stage before you sink time into the leaderboard.
Beginner score
30/100
Learning value
60/100
Estimated effort
24-80 hours
Metric
Official scoring is published on the Op…
适合已有操作系统、系统性能优化或开源平台开发基础,并能按具体赛题选择方向的开发者和研究生。不同题目分别涉及 openEuler、openKylin、OpenHarmony、openvela、RISC-V、eBPF、机器人及云边端资源调度;高校赛题与社区赛题的具体报名资格,页面未说明。
If the items below still feel unfamiliar, you usually get a better result by preparing first instead of rushing in.
操作系统开发
openEuler 或 openKylin 开发
eBPF
系统性能分析与优化
容器化推理
多智能体系统
The real friction is usually not library usage. It is validation, time allocation, and task framing.
难点在于赛题多为操作系统层的设计、实现与性能优化,而不是单纯训练模型:例如异常根因定位、启动性能优化、推理并发调度、内存管理和异构资源调度。参赛者需要针对所选平台或硬件环境做可落地的系统实现。
This guide is the best pre-read if you want a cleaner start instead of trial-and-error.
How to learn feature engineering, validation, and competition workflow without heavy hardware.
No GPU? Pick Competitions That Still Teach You Good HabitsUse these fields to make a quick decision before you dive deeper.
Registration is unverified; confirm availability on the official page before investing.
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Rules, files, submission details, and the live deadline still come from the official page.
These competitions share a similar domain or difficulty level.
ModelScope
General MLModelScope
General MLKaggle
General MLKaggle
General MLSeparate what is confirmed from what still needs review. Official rules and deadlines win — report anything that looks wrong.
Official metric is not published on the OpenAtom competition listing; verify scoring on the competition page.
reward_value_usd is a rough CNY→USD estimate (×0.14) for ranking only; use reward_summary for the official prize text.