Update Chinese README
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@ -88,7 +88,7 @@ At this moment, this project provides the following algorithms and scripts to ru
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## Requirements and Preparation
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Please install `Python>=3.6` and `PyTorch>=1.3.0`. (You could also run this project in lower versions of Python and PyTorch, but may have bugs).
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Please install `Python>=3.6` and `PyTorch>=1.5.0`. (You could also run this project in lower versions of Python and PyTorch, but may have bugs).
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Some visualization codes may require `opencv`.
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CIFAR and ImageNet should be downloaded and extracted into `$TORCH_HOME`.
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[](LICENSE.md)
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自动深度学习库 (AutoDL-Projects) 是一个开源的,轻量级的,功能强大的项目。
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台项目目前实现了多种网络结构搜索(NAS)和超参数优化(HPO)算法。
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该项目实现了多种网络结构搜索(NAS)和超参数优化(HPO)算法。
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**谁应该考虑使用AutoDL-Projects**
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## 准备工作
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Please install `Python>=3.6` and `PyTorch>=1.3.0`. (You could also run this project in lower versions of Python and PyTorch, but may have bugs).
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Some visualization codes may require `opencv`.
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请使用`3.6`以上的`Python`,更多的Python包参见[requirements.txt](docs/requirements.txt).
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CIFAR and ImageNet should be downloaded and extracted into `$TORCH_HOME`.
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Some methods use knowledge distillation (KD), which require pre-trained models. Please download these models from [Google Drive](https://drive.google.com/open?id=1ANmiYEGX-IQZTfH8w0aSpj-Wypg-0DR-) (or train by yourself) and save into `.latent-data`.
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请下载并且解压缩`CIFAR`和`ImageNet`到`$TORCH_HOME`.
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## 引用
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nats_bench>=1.4
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torchvision
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torch
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# Optional
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opencv
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