Columbia Engineering M.S. in Data Science | Former Federal Reserve Board
Block or Report
Block or report katlass
Report abuse
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned
-
Bayesian-Machine-Learning
Bayesian-Machine-Learning PublicDeriving expectation maximization and variational inference algorithms from scratch.
Jupyter Notebook
-
Natural-Language-Processing
Natural-Language-Processing PublicCNN, LSTM, GPT and other NLP models with PyTorch and Transformers
Jupyter Notebook 1
-
Space-Optimized-Computer-Vision
Space-Optimized-Computer-Vision PublicA space optimized CNN developed through synchronous distributed training, weight pruning, and quantization in Vertex AI on GCP
Jupyter Notebook
-
Repeat-Sales-Model-using-Distributed-Computing
Repeat-Sales-Model-using-Distributed-Computing PublicForecasting corporate bond returns with a repeat sales model on 72 distinct billion item matrices ~ 1TB.
R 1
-
Machine-Learning
Machine-Learning PublicMachine Learning in Scikit-Learn and TensorFlow
Jupyter Notebook 1
-
Misc-Columbia-Projects
Misc-Columbia-Projects PublicSome projects from my Columbia University data science engineering program
Jupyter Notebook
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.