NeuroTechX/moabb
A benchmark suite for evaluating machine learning algorithms on Brain-Computer Interface tasks using EEG datasets.
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MOABB (Mother of All BCI Benchmarks) provides a standardized framework for benchmarking popular machine learning algorithms applied to Brain-Computer Interface problems. It aggregates multiple freely available EEG datasets to enable comprehensive, reproducible comparisons of BCI algorithms across different subjects and experimental conditions. The project facilitates reproducible research by providing unified data access and evaluation protocols for the BCI/ML community.