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1. KAN KAN Public

   Implementation on how to use Kolmogorov-Arnold Networks (KANs) for classification and regression tasks.

   Jupyter Notebook 215 25

2. MC-CP MC-CP Public

   All the material needed to use MC-CP and the Adaptive MC Dropout method

   Jupyter Notebook 20 4

3. CharmaineBarker/FairVIC CharmaineBarker/FairVIC Public

   All the material needed to implement FairVIC for bias mitigation in deep neural networks.

   Jupyter Notebook

4. ADVICE ADVICE Public

   All the material needed to use ADVICE for the safe exploration of reinforcement learning agents.

   Python 1