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  3. UBML开源案例工坊挑战赛
OpenAtomGeneral MLAdvancedRegistration unverified

UBML开源案例工坊挑战赛

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
为降低新手学习门槛、助力开发者快速掌握inBuilder开发能力,实现典型业务场景的快速构建,本赛项要求参赛团队面向企业真实场景设计最优解决方案,通过综合利用人工智能技术,基于inBuilder社区版平台开发出可复用、易扩展的行业标杆案例。 Official category: 实战竞技赛. Organizers: 浪潮通用软件有限公司. Competition code: 2025OAC033. Participants: 5.

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
Aug 14, 2025

Entry assessment

est.
19

Prepare before joining

Overall fit estimate

Beginner fit19/100
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
Aug 14, 2025
Source created
Aug 14, 2025
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.