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This GitHub repository implements a novel approach for detecting Initial Public Offering (IPO) underpricing using pre-trained Transformers. The models, extended to handle large S-1 filings, leverage both textual information and financial indicators, outperforming traditional machine learning methods.

License: MIT License

Python 59.38% Shell 40.62%
ai capital deep-learning finance initial-public-offering llms longformer python pytorch shares

ipo's Introduction

MasterHead

Hi ๐Ÿ‘‹, I'm Dimitrios Mamakas

dmamakas2000

dimMamg13

  • ๐Ÿ”ญ Iโ€™m currently working on IPO

  • ๐ŸŒฑ Iโ€™m currently learning Django

  • ๐Ÿ‘จโ€๐Ÿ’ป Some of my most important projects are available here

  • ๐Ÿ“ Check out my latest publication on ACL Anthology

  • ๐Ÿ’ฌ Ask me about #AI #NLP #PyTorch

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ“„ Know about my experiences resumelink

  • โšก Fun fact I've being coding for 5 years

Connect with me:

dimMamg13 dimitrios-mamakas-493931186 dimitris_mamakas

Languages and Tools:

android aws bootstrap c cplusplus csharp css3 django docker electron express gcp git graphql hadoop html5 java javascript kafka kubernetes linux matlab mongodb mysql nodejs opencv oracle pandas photoshop php postgresql postman python pytorch react scikit_learn seaborn spring sqlite tensorflow



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