DEER: parallelizing sequential models
DEER is a library that allows you to evaluate sequential models in parallel, like ODE solver and RNN. The parallelization is done over the time axis, where sequential for-loop is usually used. This enables fast evaluations and trainings with modern deep learning hardware, such as GPU.