Why do we need RanxHub?
Speed-up Research
Have you ever gotten stuck trying to run, implement, or reproduce baseline results?
RanxHub allows you to focus on your research without wasting time and energy implementing, training, and running the baselines you choose for your comparative evaluation.
Transparency
Would you like scientific research to be more transparent?
Take the initiative, send us pre-computed runs from your scientific publications, and lead by example!
Climate Change
Today, Computer Science research has a significant environmental impact due to the CO2 produced by training Machine learning models. Using RanxHub's pre-computed baselines, you can reduce electricity consumption and pollution resulting from your research activities!
Metasearch
Would you like to verify the potential of the combination of your model with other models at the state-of-the-art?
Take advantage of the fusion functionalities provided by ranx and try all the combinations you desire!
Meta-Analysis
Are you as curious as I am to conduct meta-analyses on new modeling trends to learn more about the similarities and differences between the new models? RanxHub is right for you!
Reproducibility
RanxHub gives you access to the original runs from research papers, allowing you to compare the query-document-score triplets produced by your implementation of the system you are trying to reproduce and those from the original authors: much better than comparing mere averaged metric scores!
Peer Review
RanxHub can help you to check state-of-the-art claims and the appropriateness of the baseline choices of the research paper you are reviewing.