nannyml: post-deployment data science in python

Performance estimation for time series forecasting tasks

A codebase accompanying the paper "Improving Performance Estimation for FPGA-based Accelerators for Convolutional Neural Networks", by Ferianc et al. presented at ARC'2020

Code for "Distance Matters for Improving Performance Estimation Under Covariate Shift", ICCV Workshop on Uncertainty Quantification 2023, Roschewitz & Glocker.