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**General resources for increasing impact of ML research code - now official guidelines at NeurIPS 2020.**
Based on analysis of more than 200 ML repositories, these recommendations facilitate reproducibility and correlate with GitHub stars - more details in our [our blog post](https://medium.com/paperswithcode).
Based on analysis of more than 200 Machine Lerarning repositories, these recommendations facilitate reproducibility and correlate with GitHub stars - more details in our [our blog post](https://medium.com/paperswithcode).
For NeurIPS 2020 code submissions it is recommended (but not mandatory) to use the [README.md template](#readmemd-template) and check as many items on the [ML Code Completeness Checklist](#ml-code-completeness-checklist) as possible.