update code styles
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@@ -6,9 +6,9 @@ Each edge here is associated with an operation selected from a predefined operat
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For it to be applicable for all NAS algorithms, the search space defined in NAS-Bench-102 includes 4 nodes and 5 associated operation options, which generates 15,625 neural cell candidates in total.
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In this Markdown file, we provide:
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- [How to Use NAS-Bench-102](#how-to-use-nas-bench-102)
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- [Instruction to re-generate NAS-Bench-102](#instruction-to-re-generate-nas-bench-102)
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- [10 NAS algorithms evaluated in our paper](#to-reproduce-10-baseline-nas-algorithms-in-nas-bench-102)
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- [How to Use NAS-Bench-102](#how-to-use-nas-bench-102)
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- [Instruction to re-generate NAS-Bench-102](#instruction-to-re-generate-nas-bench-102)
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- [10 NAS algorithms evaluated in our paper](#to-reproduce-10-baseline-nas-algorithms-in-nas-bench-102)
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Note: please use `PyTorch >= 1.2.0` and `Python >= 3.6.0`.
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