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1. Bayesian-Machine-Learning Bayesian-Machine-Learning Public

   Deriving expectation maximization and variational inference algorithms from scratch.

   Jupyter Notebook

2. Natural-Language-Processing Natural-Language-Processing Public

   CNN, LSTM, GPT and other NLP models with PyTorch and Transformers

   Jupyter Notebook 1

3. Space-Optimized-Computer-Vision Space-Optimized-Computer-Vision Public

   A space optimized CNN developed through synchronous distributed training, weight pruning, and quantization in Vertex AI on GCP

   Jupyter Notebook

4. Repeat-Sales-Model-using-Distributed-Computing Repeat-Sales-Model-using-Distributed-Computing Public

   Forecasting corporate bond returns with a repeat sales model on 72 distinct billion item matrices ~ 1TB.

   R 1

5. Machine-Learning Machine-Learning Public

   Machine Learning in Scikit-Learn and TensorFlow

   Jupyter Notebook 1

6. Misc-Columbia-Projects Misc-Columbia-Projects Public

   Some projects from my Columbia University data science engineering program

   Jupyter Notebook