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1. Handling-large-imbalanced-data Handling-large-imbalanced-data Public

   Explore training large ML models at scale using Tensorflow APIs, sharding data, handling imbalanced data by training for precision/recall over accuracy

   Jupyter Notebook

2. NLP-Translation-Models NLP-Translation-Models Public

   Experimenting with different architectures for neural machine translation

   Jupyter Notebook 1

3. Semantic-Segmentation Semantic-Segmentation Public

   Udacity Course -implement FCN for image segmentation

   Python

4. Sequence-to-Sequence-Models Sequence-to-Sequence-Models Public

   Jupyter Notebook

5. Transfer_Learning_Inception_v3 Transfer_Learning_Inception_v3 Public

   We test the accuracy of a single inception module, first developed by Google on MNIST. We then use an online repo of

   Jupyter Notebook

6. Diffusion-Limited-Aggregation Diffusion-Limited-Aggregation Public

   2D Simulation modeling clustering of particles undergoing Brownian motion.

   Jupyter Notebook 3