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feat: update to mkdocs template
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.github/workflows/AutoUpdateGithubPages.yml

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.github/workflows/AutoUpdateWeChat.yml

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.github/workflows/ci.yml

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name: ci
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on:
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push:
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branches:
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- main
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permissions:
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contents: write
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jobs:
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deploy:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@v4
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- name: Configure Git Credentials
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run: |
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git config user.name github-actions[bot]
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git config user.email github-actions[bot]@users.noreply.github.com
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- uses: actions/setup-python@v5
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with:
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python-version: 3.x
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- run: echo "cache_id=$(date --utc '+%V')" >> $GITHUB_ENV
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- uses: actions/cache@v4
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with:
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key: mkdocs-material-${{ env.cache_id }}
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path: .cache
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restore-keys: |
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mkdocs-material-
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- run: pip install mkdocs-material jieba mkdocs-git-revision-date-localized-plugin mkdocs-git-committers-plugin-2
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- run: mkdocs gh-deploy --force

.gitignore

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.DS_Store
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# Created by .ignore support plugin (hsz.mobi)
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### Python template
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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.pytest_cache
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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# *.manifest
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# *.spec
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*.res
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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#idea
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.vs
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.vscode
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.idea
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/images
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/models
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#models
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*.onnx
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*.ttf
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*.ttc
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*.pyc
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__pycache__
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long1.jpg
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*.bin
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*.mapping
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*.xml
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*.pdiparams
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*.pdiparams.info
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*.pdmodel
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.DS_Store
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*.npy

README.md

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![收集表](https://user-images.githubusercontent.com/28639377/222939092-5e118d92-0010-4ee1-870a-5891d6b07e66.png?width=15vw)
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### 赛事经验帖
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- CV赛事经验帖
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- [图像分类](./CV/图像分类.md)
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- [目标检测](./CV/目标检测.md)
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- [OCR](./CV/OCR.md)
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- [多模态](./CV/多模态.md)
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- [图像分割](./CV/图像分割.md)
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- [对抗攻击](./CV/对抗攻击.md)
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- [比赛技巧](./CV/比赛技巧.md)
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- [关键点检测识别](./CV/关键点检测识别.md)
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- [视频理解](./CV/视频理解.md)
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- [图像篡改检测](./CV/图像篡改检测.md)
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- [AI算法](./CV/AI算法.md)
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- [图像压缩](./CV/图像压缩.md)
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- [图像视频修复 | 增强 | 重建 | 超分](./CV/图像视频修复_增强_重建_超分.md)
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- [行为识别](./CV/行为识别.md)
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- [人脸识别](./CV/人脸识别.md)
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- [图像检索](./CV/图像检索.md)
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- [综合类型](./CV/综合类型.md)
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- [自动驾驶](./CV/自动驾驶.md)
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- [图像检索](./CV/图像检索.md)
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- [目标计数](./CV/目标计数.md)
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- [其他](./CV/其他.md)
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- [NLP赛事经验帖](./NLP.md)
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- [语音赛事经验帖](./Speech.md)
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- [Others](./Others.md) (推荐系统|数据挖掘|知识图谱|图网络|多智能体决策|蛋白质结构预测|智能机器人等)
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- [比赛经验分享](./Interview.md)
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- [语言大模型比赛经验分享](./LLM.md)
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### 竞赛文章公众号
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| **公众号名称** | **简单介绍** |
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|:---:|:---|
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|Kaggle竞赛宝典| 数据竞赛Top方案,竞赛黑科技,竞赛到入职的一些感想。|
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| DataFountain | DF平台 \(www\.datafountain\.cn\) 官方公众号,有趣有料的大数据社群,从今天起,爱上这碗数据汤。|
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| Datawhale | 一个专注于AI领域的开源组织,汇聚了众多优秀学习者,愿景:for the learnner,和学习者一起成长。|
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| 世界AI创新大赛 | 世界人工智能创新大赛(AIWIN),是世界人工智能大会的组成部分之一。|
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### 其他信息汇总平台
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| **平台名称** | **简单介绍** |
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|:---:|:---|
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|[Kaggle Solutions](https://farid.one/kaggle-solutions/)|列出了过去Kaggle比赛中顶尖选手分享的几乎所有可用解决方案和想法。|
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|[nlp-competitions-list-review](https://github.com/zhpmatrix/nlp-competitions-list-review)|复盘所有NLP比赛的TOP方案,只关注NLP比赛|
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### 竞赛平台
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| **平台名称** | **简单介绍** |
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|:---:|:---|
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|[CompHub](https://comphub.notion.site/comphub/CompHub-c353e310c8f84846ace87a13221637e8) | 实时聚合国内外技术比赛,一个页面,全知道。 |
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|[科大讯飞 A\.I\.开发者大赛](https://challenge.xfyun.cn/) | 全平台比赛信息汇总平台,涵盖CV/NLP/Speech/数据挖掘等比赛,短平快 |
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| [Coggle数据科学](https://coggle.club/) | 全平台比赛信息汇总平台 |
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| [DataFountain](https://www.datafountain.cn/competitions) | 涉及CV、NLP、数据挖掘等全面的比赛平台 |
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| [和鲸社区](https://www.heywhale.com/home/competitions) | 综合性比赛平台,侧重数据科学、机器人一些 |
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| [FlyAI](https://www.flyai.com/) | 涉及视觉计算、自然语言处理、语音、结构化数据等 |
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| [CodaLab](https://competitions.codalab.org/competitions) | 多数为学术型的竞赛平台,包括一些学术会议的附赛 |
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| [天池](https://tianchi.aliyun.com/competition/gameList/activeList) | 比较有名,不作过多说明 |
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| [同花顺算法平台](http://contest.aicubes.cn/#/) | 来源于真实场景业务问题,CV\\NLP\\语音都有涉及 |
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| [Kaggle](https://www.kaggle.com/competitions) | 比较有名,不作过多说明 |
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| [AIWIN](http://ailab.aiwin.org.cn/competitions/) | 一个比较小众的平台,涉及CV较多一些,每年有两次\(春季赛\|秋季赛\) |
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### [贡献者汇总](https://github.com/SWHL/AI-Competition-Collections/issues/2)
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### 官方站点
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docs/CV/index.md

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