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šŸ‘‹ Hi, Iā€™m @roupenminassian šŸ‘€ 3+ years experience in Data Science across medical research, natural language processing and time-series analysis. šŸŒ±

šŸ›  Languages and tools:

HTML5 NodeJS JavaScript Java Threejs Vercel Redis MongoDB Python scikit-learn PyTorch Azure Pandas NumPy TensorFlow

Roupen Minassian's Projects

behrt icon behrt

Code for BEHRT: Transformer for Electronic Health Records

crc-p icon crc-p

This project explores the classification of human activities using wearable sensor data, investigating different modeling approaches, feature extraction methods, and evaluation metrics to optimize real-world applications.

cv icon cv

Print-friendly, minimalist CV page

esm icon esm

Evolutionary Scale Modeling (esm): Pretrained language models for proteins

freelance icon freelance

For freelance projects, can also include code to Kaggle competitions

hemorrhage-detection icon hemorrhage-detection

This repository contains our implementation and training of a combined recurrent-convolutional DNN for intracranial hemorrhage (bleeding inside the brain) detection on CT scans.

hub icon hub

where we'll put all of our things

idtxl icon idtxl

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

keras-ncp icon keras-ncp

Code repository of the paper Neural circuit policies enabling auditable autonomy published in Nature Machine Intelligence

llmxtwitter icon llmxtwitter

This project leverages advanced machine learning techniques to analyse Twitter activity during the 2020 Nagorno-Karabakh conflict. By diving deep into the digital narratives, we aim to understand the role of social media in shaping public opinion and disseminating information (or misinformation) in times of geopolitical crises.

mtsne icon mtsne

Multivariate time-series t-Distributed Stochastic Neighbor Embedding

ppscore icon ppscore

Predictive Power Score (PPS) in Python

traffic-analysisxbuiltenvironment icon traffic-analysisxbuiltenvironment

Harness the power of computer vision to analyze traffic from video footage. This tool identifies vehicles, gauges their speeds, and categorizes them by lane using a bird's-eye view transformation. Integrated with Hugging Face's pretrained models, it offers precise vehicle detection, serving as a vital tool for traffic management and research.

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