Geolocation generic classifier using siamese neural networks using TensorFlow and Keras.
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Updated
Jan 10, 2018 - Python
Geolocation generic classifier using siamese neural networks using TensorFlow and Keras.
Greg and Jason's senior project repo.
Heterogeneous clustering and cross-modal evaluation metrics for crime prediction
This AI tool depend deep learning to predict when and where a crime event could happen in Toronto area. It could be applied on any other city. The frontend code is based on ReactJS and the backed code is based on python 3.
Crime Prediction and Forecasting using Machine Learning Algorithms
A web-based tool that predicts crimes based on heterogeneous spatial patterns
The code of paper "Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning"
Python module for searching common interests in suspects lists
[TSAS 2023] AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction.
streetcrime: a python ABM package for urban crime
Multi-class classification model for predicting the types of crimes in Toronto
This repository is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. This repository implements inductive link prediction in criminal network analysis, focusing on finding links between new cases and existing nodes.
This tool is a part of the paper "Inductive and Transductive Link Prediction for Criminal Network Analysis," published in the Journal of Computational Science in 2023. It implements an analyzer and visualizer specialized for criminal (social) network analysis, including community detection, social influence analysis, and link prediction.
Crime Analysis and Prediction Based on Machine Learning Algorithms
FlexiCrime: A crime prediction model capable of making predictions over flexible time intervals.
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