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  3. 算力网环境下基于全局元数据的云原生应用架构原型设计挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

算力网环境下基于全局元数据的云原生应用架构原型设计挑战赛

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
全局元数据支持的算力网云原生架构是指一种利用全局元数据来感知、汇聚、共享和管理分布在云、边、端的各种异构资源,并基于算力网技术实现资源的动态调度和优化,从而在云原生的方式下构建和运行应用程序的架构。 Official category: 实战竞技赛. Organizers: 上海航空工业(集团)有限公司、湖南大学. Participants: 199.

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
Sep 1, 2023

Entry assessment

est.
16

Prepare before joining

Overall fit estimate

Beginner fit16/100
Learning value66/100

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
Sep 1, 2023
Source created
Sep 1, 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.