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Title: GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Open Graph Title: GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

X Title: GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Description: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. - GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.

Open Graph Description: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. - GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1'...

X Description: Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS. - GitHub - DeepWisdom/AutoDL: Automated Deep Learning without ANY human intervention. 1&...

Opengraph URL: https://github.com/DeepWisdom/AutoDL

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https://github.com/DeepWisdom/AutoDL#%E5%8A%A0%E5%85%A5%E7%A4%BE%E5%8C%BA
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL/blob/master/assets/autodl_logo_full.png
AutoDL Challenge@NeurIPShttps://autodl.chalearn.org/neurips2019
AutoDL Competitionhttps://autodl.lri.fr/competitions/162
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#1-autodl是什么
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#2-目录
1. AutoDL是什么?https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#1-autodl%E6%98%AF%E4%BB%80%E4%B9%88
2. 目录https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#2-%E7%9B%AE%E5%BD%95
3. 效果https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#3-%E6%95%88%E6%9E%9C
4. AutoDL竞赛使用说明https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#4-autodl%E7%AB%9E%E8%B5%9B%E4%BD%BF%E7%94%A8%E8%AF%B4%E6%98%8E
4.1. 使用效果示例(横轴为对数时间轴,纵轴为AUC)https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#41-%E4%BD%BF%E7%94%A8%E6%95%88%E6%9E%9C%E7%A4%BA%E4%BE%8B%E6%A8%AA%E8%BD%B4%E4%B8%BA%E5%AF%B9%E6%95%B0%E6%97%B6%E9%97%B4%E8%BD%B4%E7%BA%B5%E8%BD%B4%E4%B8%BAauc
5. 安装https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#5-%E5%AE%89%E8%A3%85
5.1. pip 安装https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#51-pip-%E5%AE%89%E8%A3%85
6. 快速上手https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#6-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B
6.1. 快速上手之AutoDL本地效果测试https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#61-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8Bautodl%E6%9C%AC%E5%9C%B0%E6%95%88%E6%9E%9C%E6%B5%8B%E8%AF%95
6.2. 快速上手之图像分类https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#62-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8B%E5%9B%BE%E5%83%8F%E5%88%86%E7%B1%BB
6.3. 快速上手之视频分类https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#63-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8B%E8%A7%86%E9%A2%91%E5%88%86%E7%B1%BB
6.4. 快速上手之音频分类https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#64-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8B%E9%9F%B3%E9%A2%91%E5%88%86%E7%B1%BB
6.5. 快速上手之文本分类https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#65-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8B%E6%96%87%E6%9C%AC%E5%88%86%E7%B1%BB
6.6. 快速上手之表格分类https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#66-%E5%BF%AB%E9%80%9F%E4%B8%8A%E6%89%8B%E4%B9%8B%E8%A1%A8%E6%A0%BC%E5%88%86%E7%B1%BB
7. 可用数据集https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#7-%E5%8F%AF%E7%94%A8%E6%95%B0%E6%8D%AE%E9%9B%86
7.1. (可选) 下载数据集https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#71-%E5%8F%AF%E9%80%89-%E4%B8%8B%E8%BD%BD%E6%95%B0%E6%8D%AE%E9%9B%86
7.2. 公共数据集信息https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#72-%E5%85%AC%E5%85%B1%E6%95%B0%E6%8D%AE%E9%9B%86%E4%BF%A1%E6%81%AF
8. 贡献代码https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#8-%E8%B4%A1%E7%8C%AE%E4%BB%A3%E7%A0%81
9. 加入社区https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#9-%E5%8A%A0%E5%85%A5%E7%A4%BE%E5%8C%BA
10. 开源协议https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#10-%E5%BC%80%E6%BA%90%E5%8D%8F%E8%AE%AE
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#3-效果
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL/blob/master/assets/feedback-lb.png
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL/blob/master/assets/final-lb-visual.png
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#4-autodl竞赛使用说明
speech_model.h5https://github.com/DeepWisdom/AutoDL/releases/download/opensource/thin_resnet34.h5
AutoDL Challenge official starting_kithttps://github.com/zhengying-liu/autodl_starting_kit_stable
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#41-使用效果示例横轴为对数时间轴纵轴为auc
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL/blob/master/assets/AutoDL-performance-example.png
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#5-安装
虚拟环境https://docs.python.org/3/library/venv.html
用户指导https://packaging.python.org/guides/installing-using-pip-and-virtual-environments/
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#51-windows10-安装过程
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#511-安装-cuda-100-和-cudnn-v76224
CUDA 10.0下载https://developer.nvidia.com/cuda-10.0-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exelocal
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https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#6-快速上手
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#61-快速上手之autodl本地效果测试
快速上手之AutoDL本地效果测试https://github.com/DeepWisdom/AutoDL/tree/pip/docs/run_local_test_tutorial_chn.md
examples/run_local_test.pyhttps://github.com/DeepWisdom/AutoDL/blob/pip/examples/run_local_test.py
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#62-快速上手之图像分类
快速上手之图像分类https://github.com/DeepWisdom/AutoDL/tree/pip/docs/image_classification_tutorial_chn.md
examples/run_image_classification_example.pyhttps://github.com/DeepWisdom/AutoDL/blob/pip/examples/run_image_classification_example.py
https://patch-diff.githubusercontent.com/DeepWisdom/AutoDL#63-快速上手之视频分类
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