poplar` is a lightweight package for performing selection bias modelling with machine learning. It is useful when the selection process can only be modelled at a high computational cost, and is efficient and accurate even at high dimensionality. It is fully implemented with `pytorch`.
If you find `poplar` useful in your work, please cite both [Chapman-Bird et al. (2023)](https://doi.org/10.1093/mnras/stad1397) and the [package doi](https://doi.org/10.5281/zenodo.7573034).