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Publicly available code base for the Vulcan Project

Code for Learning Credible Models

Code for Learning Credible Models

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

The backend application for LoRaWAN MQTT server

Super Resolution 4D Flow MRI using Residual Neural Network

PyTorch Implementation of LSTM-based dynamical model for predicting species abundance and metabolites' concentrations in a heterogeneous community

Climate Modeler for the DESFB using US Wildlife & Refuge data on the park's numerous species. Uses C++ for user environment and Python (Pandas) for DESFB data analysis.