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rstojnic
2020-04-08 14:48:17 +01:00
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@@ -22,11 +22,11 @@ We've found that repositories that score higher on the checklist tend to have a
The checklist is made to be as general as possible. It consists of five items:
1. Specification of dependencies
2. Training code
3. Evaluation code
4. Pre-trained models
5. README file including table of results accompanied by precise commands to run/produce those results
1. **Specification of dependencies**
2. **Training code**
3. **Evaluation code**
4. **Pre-trained models**
5. **README file including table of results accompanied by precise commands to run/produce those results**
NeurIPS 2019 repositories that had all five of these components got the highest number of GitHub stars.