Create a source of truth for ML model results and browse it on Papers with Code
model-index has two goals: * Make it easy to maintain a source-of-truth index of Machine Learning model metadata * Enable the community browse this model metadata on Papers with Code The main design principle of model-index is flexibility. You can store your model metadata however is the most convenient for you - as JSONs, YAMLs or as annotations inside markdown. model-index provides a convenient way to collect all this metadata into a single file that's browsable, searchable and comparable.
