| [pop_datasets.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/retraining_for_O4/pop_datasets.ipynb) | Notebook having plots of injection parameters for training and testing. | | | \-------------- |
| ML QTs [L1](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/O4a_training/L1/uniform_config_lr_0.01_ep_15_bs_500/), [H1](https://ldas-jobs.ligo.caltech.edu/~srashti.goyal/O4a_training/uniform_config_lr_0.01_ep_15_bs_500/) | | | \-------------- |
| [Config](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/config_o4a.yaml?ref_type=heads) | ML models and config for production runs | Needs to be finalised | | \-------------- |
|[make_predictions.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/make_predictions.ipynb?ref_type=heads) | ML models benchmark performance and background estimations along with MDC results for the final model. | In development | | \-------------- |
| [investigations_visualisations.ipynb](https://git.ligo.org/srashti.goyal/lensid-ml-o4/-/blob/master/investigations_visualisations.ipynb?ref_type=heads) | Investigating/Eyeballing pairs and compare the performances with the other pipelines | | | \-------------- |
