deep-learning

This is a passion project where I attempt to use deep-learning ML-models to make accurate predictions on the outcome of NHL games. I ran the model predictions as a live betting strategy in the Fall of 2022 and achieved a roughly 60% return on investment.

3D Hand Pose Estimation using Multi-View CNNs

UMSI-Wikipedia Text Difficulty Prediction (NLP Project)

Capstone 1: Caterpillar Tube Pricing Prediction & Categorization. Capstone 2:Pipeline Multi-Leak Classification.

Examples demonstrating Kullback-Leibler divergence.

Programming Assignments of Neural Networks and Deep Learning course of deeplearning.ai in coursera

CS 7643 — Spring 2019 Project

Goal: learn more about the underlying deep learning model of GPT2: the Transformer model and, more broadly, the attention mechanism.