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Temporal Code Intelligence platform analyzing Git history patterns to predict quality evolution and maintenance burden. Conversational AI agent reveals complexity trends, decay forecasting, and codebase health through mathematical pattern analysis and natural language interactions.
A flexible and powerful Python toolkit for dataset shift analysis and characterization, providing supervised and unsupervised evaluation of temporal and multi-source data shifts, visualization tools, and statistical insights for data integrity and model performance monitoring
This project focuses on analyzing and predicting earthquakes in Washington State using data from the USGS. The analysis explores earthquake trends, spatial patterns, and the relationship between earthquakes and fault lines. ML models are employed for predicting future earthquake occurrences, magnitudes, and their potential impacts.
VAERS Adverse Event Analysis for COVID 19 Vaccine : A hybrid approach combining LLMs (Gemini 1.5 Flash) and statistical methods for enhanced vaccine safety signal detection. Analyzes temporal and associative relationships in VAERS symptom data.
Terrarium is a Python Package for geospatial manipulation and raster/vector generation for the GeoSentry 🌍 Platform powered by Google Earth Engine and Google Maps Platform.
The project aims to automate content classification and knowledge retrieval, as well as to perform analysis on the temporal and thematic impact on research over a time period. In addition, the possibility of performing network analysis to analyze communication in the community is contemplated for users.
Cronus is an architecture diagramming and temporal analysis engine. With Cronus, teams can diagram their system architecture and vulnerabilities, as reported by Covert, and survey how each evolves over time.