Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
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Updated
Nov 10, 2023 - TeX
Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).
vulnerability detection in python source code with LSTM networks
Solution to the labs of the Deep Learning course of the MSc in Artificial Intelligence at the University of Amsterdam
GaTech CS 7650 Assignment Solutions
Third assignment for Deep Learning LAB course @USI19/20.
Video classification in TensorFlow using Mask R-CNN. This project is built upon https://github.com/matterport/Mask_RCNN. The dataset used to train Mask R-CNN has been built with LabelBox, the video classification has been done with an LSTM that classifies activities taken from a subset of ActivityNet dataset (Gymnastics activities). This reposit…
This repo is devoted to the pracicals of the course Deep Learning (5204DLFV6Y) realised at the Univeristy of Amsterdam, Fall 2020.
Concept Tagging Sequences using Neural Networks and spaCy Named Entity Recognition Tool
Master thesis
iJazzARTIST: Intelligent Jazz Accompanist for Real-Time human-computer Interactive muSic improvisaTion ( B.Sc. Thesis )
Generating Trump tweets with deep learning. Spoiler: the results suck. The new GPT models do *much* better.
An LSTM model for predicting the WIND toolkit dataset, that includes meteorological conditions and turbine power for more than 126,000 sites in the continental United States for the years 2007–2013.
Final paper repository for DATA 2060: Machine Learning: from Theory to Algorithms
Graduation project at Ha Noi university of science and technology
Emotion Detection using CNN and LSTM
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