Emission Prediction with Variable Graph Structure
GNN algorithm to predict location, type, or quantity of emission based on geographic proximity to other sites. PyTorch Geometric, Pandas, Shapely
Portfolio
Crop Anomaly Detection with Semantic Segmentation
U-Net implementation to perform multi-class semantic segmentation on a massive satellite image dataset. Big data, computer vision, climate tech
Stock Recommendations: Explainable AI with Boosting Methods
Using the stock market as a vehicle to demonstrate explainability in XGBoost, a complex deep learning approach. Quant/finance, XAI, XGBoost
Projecting Agricultural Shifts using Gaussian Processes and K-Means Clustering
Stochastic mathematical model to predict the viability of crops based on soil conditions. Time series data, mathematical modeling, soil analysis
Moonboard ML: Generative AI in…rock climbing?
CNN to predict moonboard grades and a variational auto-encoder to generate a route given a grade! TensorFlow, Keras…bouldering