Tavondo
CompetitionsEventsGuidesPlatforms
中文Start matching
CompetitionsEventsGuidesPlatforms
中文Sign in
Tavondo

Find AI competitions and events worth your time.

CompetitionsEventsGuidesPlatforms
Sign inRegisterStart matching

© 2026 Tavondo

中文
  1. Home
  2. Competitions
  3. 开源工业软件产品化集成赛
OpenAtomGeneral MLAdvancedRegistration unverified

开源工业软件产品化集成赛

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
本届开源工业软件产品化集成大赛的举办旨在达成以下目的:通过竞赛,使CAE开发者了解国内外开源CAE的技术现状以及应用情况,激励开发者基于开源模式探索CAE软件创新发展之路;为工业软件人才培养提供实践平台和丰富的开源资源,打造CAE领域产学研用优质转化平台;提升关键核心技术在开源CAE软件的工程转化能力,加速多学科协同研发合作生态的发展。 Official category: 实战竞技赛. Organizers: 青岛数智船海科技有限公司. 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 22, 2023

Entry assessment

est.
23

Prepare before joining

Overall fit estimate

Beginner fit23/100
Learning value67/100

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 22, 2023
Source created
Sep 22, 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.