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Tensorflow implementation of "Listen, Attend and Spell" authored by William Chan. This project utilizes input pipeline and estimator API of Tensorflow, which makes the training and evaluation truly end-to-end.

License: Apache License 2.0

Python 95.86% Shell 4.14%

listen-attend-and-spell's Introduction

Hi there ๐Ÿ‘‹

I am Memoona Tahira! I am a freelance Machine Learning engineer. I am a Computer Science Graduate, and I researched in the domain of human psychology and Computer Vision. I like learning new things, especially how to automate coding tasks so I don't have to do it manually, and also to keep things updated on their own (for as long as possible).๐Ÿงถ

  • ๐Ÿ“ฃ I have explored and created with python, bash, tensorflow, tflite, pytorch, torchscript, docker, GCP, git, and pydoc documentation as a deep learning tech stack.
  • ๐Ÿ‘€ Other languages in order of familiarity: C++, MATLAB, LaTeX, VBA, R
  • ๐ŸŒฑ I am currently learning with MLZoomcamp (a 4 months MLE course by Data Talks).
  • ๐ŸŒ I am slowly mastering Docker, AWS, Streamlit, git and unit testing.
  • โšก Fun fact: I love to read long posts and skim through code. I love well-documented code.
  • ๐ŸŽฏ My interests: Computer Vision and Deep Learning, especially for mobile phone applications.
  • ๐ŸŒŸ I am looking to collaborate on Deep Learning + MLOps projects.
  • ๐Ÿ“ซ Reach out to me on my LinkedIn profile here.

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