Enabling easy statistical significance testing for deep neural networks.
Repository collecting resources and best practices to improve experimental rigour in deep learning research.
Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.
A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.
Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.
Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".
Jupyter Notebook 9