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Working from many different places
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Working from many different places

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  1. Enabling easy statistical significance testing for deep neural networks.

    Python 266 18

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

    Python 19 2

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

    Python 11

  4. 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 47 5

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

    Jupyter Notebook 18 2

  6. Repository for UAI 2021 paper "Know Your Limits: Uncertainty Estimation with ReLU Classifiers Fail at Reliable OOD Detection".

    Jupyter Notebook 8

552 contributions in the last year

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Contribution activity

December 2022

2 contributions in private repositories Dec 1

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