DagsHub/papers-with-everything
Machine Learning papers with code, data and models
This project helps machine learning researchers and practitioners by curating a collection of academic papers that include not just code, but also the datasets and trained models needed to reproduce the research. It takes academic papers with associated codebases and enriches them by adding the specific data and model weights used. The end user is anyone in machine learning who wants to easily access and verify published research without having to source data or retrain models.
No commits in the last 6 months.
Use this if you are an ML researcher or practitioner who wants to easily access reproducible machine learning research, complete with code, data, and pre-trained models.
Not ideal if you are looking for a platform to run your own ML experiments or to manage your existing ML projects from scratch.
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Sep 10, 2023
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