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1. Automatic-Emotion-Recognition-on-DEAP-Dataset Automatic-Emotion-Recognition-on-DEAP-Dataset Public

   The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs and Cascaded CNNs with LSTMs.

   Jupyter Notebook 42 9

2. Contextual-Bandits-with-Pseudocounts-based-Exploration-for-Mitigating-Shortcut-Learning Contextual-Bandits-with-Pseudocounts-based-Exploration-for-Mitigating-Shortcut-Learning Public

   Features used by ANNs often differ from humans, they prefer more available features (pixel footprint) even if they are less or similarly predictive as the core ones. The project uses exploration & …

   Python

3. victorojewale/projectHoneyPot victorojewale/projectHoneyPot Public

   Jupyter Notebook 1