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  3. OpenAnolis云原生挑战赛:龙蜥开源RunD安全容器迈向Windows平台
OpenAtomGeneral MLAdvancedRegistration unverified

OpenAnolis云原生挑战赛:龙蜥开源RunD安全容器迈向Windows平台

A advanced general ml competition requiring roughly 25–70 hours for an end-to-end practice run.

Difficulty
Advanced
Estimated effort
25–70 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Advanced practitioners with experience in general machine learning. Requires strong technical foundations and comfort with complex ML pipelines.

Read the original official blurb
龙蜥社区(OpenAnolis)是一个面向国际的操作系统开源社区及创新平台,已成立50+个SIG工作组,赛题来自云原生SIG,云原生SIG将安全容器运行时RunD开源,并成为了上游社区的3.0标准。云原生SIG开源的组件包含异步Rust运行时runtime-rs,本赛题旨在给runtime-rs通过启动Cloud Hypervisor增加对Windows容器支持。 Official category: 实战竞技赛. Organizers: 龙蜥社区(OpenAnolis). Participants: 1.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology. The competitive landscape is strong, with many experienced teams.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
OpenAtom
Last checked
May 12, 2023

Entry assessment

est.
18

Prepare before joining

Overall fit estimate

Beginner fit18/100
Learning value70/100

Confirm eligibility and time commitment before moving into formal preparation.

Entry eligibility needs official confirmation

Open official pageSign in to saveOpen guide

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

View data stateClose
Source page verifiedMetric confirmedReviewed
Source published
May 12, 2023
Source created
May 12, 2023
Published on this site
Aug 1, 2026

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.