NFT-Price-Prediction-CNN - Using visual feature extraction, prices of NFTs are predicted via CNN (Alexnet and Resnet) architectures.

Related tags

Deep LearningNFT-Price-Prediction-CNN
Overview

NFT Price Predictor

Project proposal can be found at: https://furkanoruc.github.io/NFT-Price-Prediction-CNN/Proposal.pdf

Dataset has been obtained from:

@article{2021, title={Mapping the NFT revolution: market trends, trade networks, and visual features}, volume={11}, ISSN={2045-2322}, url={http://dx.doi.org/10.1038/s41598-021-00053-8}, DOI={10.1038/s41598-021-00053-8}, number={1}, journal={Scientific Reports}, publisher={Springer Science and Business Media LLC}, author={Nadini, Matthieu and Alessandretti, Laura and Di Giacinto, Flavio and Martino, Mauro and Aiello, Luca Maria and Baronchelli, Andrea}, year={2021}, month={Oct} }

Installing Prerequisites

Install using requirements.txt

conda create --name nft-price-predictor --file conda-requirements.txt

or install the below directly using pip or conda (using pip may not work at the moment)

conda install numpy pandas pillow tensorflow keras
Owner
MSc. Student & Research Assistant. Interested in Statistical Machine Learning, Intelligent Maritime Navigation
GitHub Repository
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