Detect your swipe gestures direction
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Updated
Jun 5, 2024 - TypeScript
Detect your swipe gestures direction
A python package for processing eye movement data
RawHash is the first mechanism that can accurately and efficiently map raw nanopore signals to large reference genomes (e.g., a human reference genome) in real-time without using powerful computational resources (e.g., GPUs). Described by Firtina et al. (published at https://academic.oup.com/bioinformatics/article/39/Supplement_1/i297/7210440)
Awesome papers about generative Information Extraction (IE) using Large Language Models (LLMs)
EEGLAB-compatible analysis software for manual / visual sleep stage scoring, signal processing and event marking of polysomnographic (PSG) data for MATLAB.
Sentence embeddings for unsupervised event detection in the Twitter stream: study on English and French corpora
A standardized, fair, and reproducible benchmark for evaluating event extraction approaches
10496-Images-Data-Of-Outdoor-BBQ
10000-Chinese-News-Events-Annotation-Data
This is a project of "Cybersecurity Event Detection with New and Re-emerging Words". (ASIACCS 2020)
Applying Deep Learning Approaches to Volleyball Data
A list of NLP resources focused on event extraction task
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
Unofficial implementation of "TTNet: Real-time temporal and spatial video analysis of table tennis" (CVPR 2020)
An Evaluation of ChatGPT on Information Extraction task, including Named Entity Recognition (NER), Relation Extraction (RE), Event Extraction (EE) and Aspect-based Sentiment Analysis (ABSA).
a “message intelligence platform” that reads billions of messages to answer four questions: “who you are, what you do, how do you think, and what is your relationship with others.”
A version of the YOLOv3 network capable of handling 1D data inputs.
Method for detecting sleep spindles using EEGlab functions and datasets
This is a source code for my paper (EnrichEvent: Enriching Social Data with Contextual Information for Emerging Event Extraction)
VitalWatch is a cutting-edge ICU Surveillance Event Detection System designed to elevate patient monitoring within hospital intensive care units. Leveraging YOLO for real-time object detection and a Human-in-the-Loop (HITL) system for continuous improvement, this project ensures accurate, adaptive, and comprehensive surveillance.
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