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1. deep-significancedeep-significancePublic

   Enabling easy statistical significance testing for deep neural networks.

   Python 340 21

2. parameterlab/apricotparameterlab/apricotPublic

   Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

   Jupyter Notebook 22 3

3. awesome-experimental-standards-deep-learningawesome-experimental-standards-deep-learningPublic

   Repository collecting resources and best practices to improve experimental rigour in deep learning research.

   Python 27 2

4. nlp-uncertainty-zoonlp-uncertainty-zooPublic

   Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

   Python 55 4

5. token2indextoken2indexPublic

   A lightweight but powerful library to build token indices for NLP tasks, compatible with major Deep Learning frameworks like PyTorch and Tensorflow.

   Python 50 6

6. Pacmed/ehr_ood_detectionPacmed/ehr_ood_detectionPublic

   Pacmed Labs experiments on uncertainty estimation, focusing on unbalanced tabular data and classification tasks.

   Jupyter Notebook 21 2