gabrielibagon Goto Github PK

I'm a software engineer with experience in machine learning, data science, and distributed systems. Some of the projects I've worked on involve computer vision, natural language processing, and brain-computer interfaces.

⭐️ TensorBlur: Efficient GPU-accelerated blurring layers for Tensorflow graphs.

⭐️ PyUnity: Python utilities for Unity Perception (C#) - a toolkit for creating synthetic machine learning datasets

⭐️ Networking Test Kit: Test networking functionality (LSL, OSC, UDP) for OpenBCI devices. Integrated with the OpenBCI core app.

⭐️ ECG Respiratory Monitor: Live monitor for EEG, ECG, and respiratory biodata

⭐️ OpenBCI-MaxMSP Library: Library for interfacing between OpenBCI devices and MaxMSP

📝 Deep Neural Networks for Forecasting Single-Trial Event-Related Neural Activity (IEEE SMC 2018)

📝 Forecasting the Neural Time Series: Deep Neural Networks for Estimating EEG Event Responses (UCSD M.S. Thesis)

📝 Multi-Paradigm EEG Classification using Deep Neural Networks(BCI Meeting 2018 Poster)

📝 Finding the optimal cross-subject EEG data alignment method for analysis and BCI (IEEE SMC 2018)

📝 Error Potentials for a Reinforcement Learning-Based Brain-Computer Interface (Unpublished)