ML Reproducibility Challenge Spring 2021 Edition

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The ML Reproducibility Challenge Spring 2021 Edition covering paper published in seven major ML conferences: NeurIPS, ACL, EMNLP, ICLR, ICML, CVPR and ECCV.

Fully-Reproducible ML Deployment with Spark, Pachyderm, and MLeap with Daniel Whitenack and Hollin Wilkins

nermin samet (@nemka_) / X

van dat thang posted on LinkedIn

Reproducible Reporting of the Collection and Evaluation of Annotations for Artificial Intelligence Models - Modern Pathology

Adam Lee (@jimzersML) / X

Surbhi Mittal (@surbhimittal97) / X

Computational identification of differentially-expressed genes as suggested novel COVID-19 biomarkers: A bioinformatics analysis of expression profiles - Computational and Structural Biotechnology Journal

The Statistics and Machine Learning With R Workshop, PDF, Matrix (Mathematics)

Gokkulnath T S (@gokkulnath) / X

van dat thang posted on LinkedIn

ESSD - Indicators of Global Climate Change 2022: annual update of large-scale indicators of the state of the climate system and human influence