Python implementation of MABED (Mention-Anomaly-Based Event Detection)
Visualization toolbox for Sound Event Detection
Source code and dataset for NAACL 2019 paper "Adversarial Training for Weakly Supervised Event Detection".
Python code for detecting topics/events from a Twitter stream
SENTiVENT: Company-specific event detection in economic news
Real-world Anomaly Detection in Surveillance Videos
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
Work in progress and needs a lot of changes for now. An implementation of paper Detecting anomalous events in videos by learning deep representations of appearance and motion on python, opencv and tensorflow. This paper uses the stacked denoising autoencoder for the the feature training on the appearance and motion flow features as input for different window size and using multiple SVM as a single classifier this is work under progress.
Event Detection and Domain Adaptation with Convolutional Neural Networks