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An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

License: GNU General Public License v3.0

Python 96.51% Shell 3.49%

bottom-up-attention-vqa's Introduction

Hi there 👋 I'm nbswords.

Github

I'll go wherever have the data I'm interested in.

  • Languages : Python, SQL, Golang, C/C++, and HTML/CSS/Javascript
  • Libraries : Tensorflow, Pytorch, Scikit-learn, Optuna, eli5, Flask, Streamlit, MLFlow
  • Interesting fields : Recommendation System, Object Detection, Time series analysis, Data Mining and MLOps

Twitter: nbswords Blogger: nbswords Linkedin: nbswords

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