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. 飞桨学习赛:螺旋桨RNA结构预测竞赛
Baidu AI StudioTime SeriesBeginnerRegistration unverified

飞桨学习赛:螺旋桨RNA结构预测竞赛

A beginner time series competition requiring roughly 4–12 hours for an end-to-end practice run.

Difficulty
Beginner
Estimated effort
4–12 hours
Registration deadline
To be confirmed
Compute
CPU only
OverviewResourcesPreparationSource

Overview

Who this competition fits

适合已有深度学习实践基础、愿意使用 PaddlePaddle 2.0 及以上版本的个人参赛者,尤其是想做 RNA 序列与二级结构输入建模的人。参赛者需要能处理 RNA 序列和 LinearFold 预测的二级结构,并输出逐碱基位置的概率向量。

Read the original official blurb
本赛题旨在解决RNA结构预测问题,要求选手基于百度发布的RNA二级结构预测算法LinearFold和RNA配分方程算法LinearPartition,预测给定RNA序列在每个位点上保持不成对的概率。 Official tags: 生物计算. Sign-ups: 114.

Resources

What this competition gives you

There is a baseline you can run as-is — starting from it is usually far faster than building from scratch.

  • BaselineOfficial runnable baseline project
  • DataTraining and test RNA datasets
  • TutorialWAVE SUMMIT+2020 engineer video explanation
  • TutorialBaidu Research RNA competition explanation video
  • TutorialLinearRNA tutorial
  • TutorialPaddleHelix RNA prediction prerequisite tutorial
  • TutorialLinearFold RNA prediction algorithm tutorial
  • TutorialUniversity of Freiburg RNA teaching website
  • TutorialRNA secondary structure lecture notes
  • TutorialRNA structure prediction lecture notes
  • Reference paperLinearPartition paper
  • Reference paperLinearFold paper
  • Reference paperSpotRNA paper

Preparation

From registration to a first submission

  1. 01

    PaddlePaddle 2.0+

  2. 02

    RNA序列建模

  3. 03

    RNA二级结构表示

  4. 04

    序列到序列回归

  5. 05

    概率值预测

  6. 06

    ZIP与TXT结果文件生成

Before you commit: 难点在于把长度可变的 RNA 序列及其 LinearFold 二级结构转化为逐位置预测,并让每个输出都落在 0 到 1 的概率范围内。提交还要求按测试序列编号分别生成单列 TXT 文件并打包为指定名称的 ZIP,格式错误会直接影响提交。

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
Baidu AI Studio
Last checked
Not recorded

Entry assessment

est.
78

Worth shortlisting

Overall fit estimate

Beginner fit78/100
Learning value72/100

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
Published on this site
Jul 21, 2026

Official metric is not published on the Baidu AI Studio competition listing; verify scoring on the competition page.