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1. deep-significance deep-significance Public

   Enabling easy statistical significance testing for deep neural networks.

   Python 336 20

2. parameterlab/apricot parameterlab/apricot Public

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

   Jupyter Notebook 22 4

3. awesome-experimental-standards-deep-learning awesome-experimental-standards-deep-learning Public

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

   Python 27 2

4. nlp-uncertainty-zoo nlp-uncertainty-zoo Public

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

   Python 53 5

5. token2index token2index Public

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

   Python 51 6

6. Pacmed/ehr_ood_detection Pacmed/ehr_ood_detection Public

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

   Jupyter Notebook 21 2