Temporal Code Intelligence platform. Time-series analysis on Git commit history: linear regression trend analysis, cyclomatic complexity tracking, confidence scoring, and predictive decay forecasting.

Security Research Toolkit — Video and image analysis tool for neural inpainting and AI-generated content detection with SORA signature extraction, temporal consistency analysis, CNN artifact detection, CPU/CUDA device selection, multi-format support, and colorama-styled terminal interface

ST-Hadoop is an open-source MapReduce extension of Hadoop designed specially to analyze your spatio-temporal data efficiently

Tool for analysing commits in a Git repository

Predictive Guardians: An AI-driven crime prevention solution utilizing advanced analytics, machine learning, and optimization. Uncover crime patterns, profile offenders, forecast trends, and allocate resources optimally. Empower agencies with actionable insights to proactively build safer communities. 🚔💻🌍

Transition Network Analysis R package

AltaiR: a C toolkit for alignment-free and temporal analysis of multi-FASTA data

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

Interpreting age groups impact on COVID-19 using deep learning timeseries models

A project on analysing extracted tweets - (Scraped using Twint)

A standardized temporal-spatial identifier framework for urban context analysis with H3 indexing, multi-dimensional scoring, and ML-based quality assessment.

Software for inferring the intrinsic fitness landscape of poliovirus capsid protein (vp1) and comparing it with that of analogous proteins in HIV

A multi-stream deepfake detection model based on spatial, temporal, and facial landmark features, designed to generalize across manipulation types through modular and complementary visual analysis.

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.

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.

An automatic system for visualizing how a place, and the names it uses, change over time on historical maps

Data clock charts using matplotlib.

Unraveling the Semantic Evolution of Core Nodes in a Global Contribution Network.

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.

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.