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1. Explainable-Random-Forest-Classifier Explainable-Random-Forest-Classifier Public

   A Library to generate the explanations for the output for any test dataset for a Random Forest Classifier.

   Python 1

2. Data-Structures-Implementations-and-Applications Data-Structures-Implementations-and-Applications Public

   Implementation and Applications of Common Data Structures

   Python

3. Algebra-DNN-Estimator-Tensorflow Algebra-DNN-Estimator-Tensorflow Public

   Using a DNN Regressor Estimator from Tensorflow to solve a Regression Problem.

   Python

4. Explainable-ML-CNN-with-MNIST Explainable-ML-CNN-with-MNIST Public

   Building a CNN using Tensorflow for MNIST and then getting the corresponding explanations for the outputs using LIME.

   Jupyter Notebook 3

5. ScroogeCoin-Crypto ScroogeCoin-Crypto Public

   The implementation of the Scrooge Coin Crypto-Currency.

   Java

6. SasankYadati/interpretability-in-neural-networks SasankYadati/interpretability-in-neural-networks Public

   Compare traditional neural networks with self explaining neural networks in terms of performance and interpretability.

   Jupyter Notebook 4 2