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Library for fast text representation and classification.

License: Other

Makefile 2.06% Shell 9.45% Python 3.94% C++ 80.26% C 0.70% Perl 3.59%

fasttext's Introduction

Hi, I'm Snehal!️



  • Senior Machine Learning Engineer/Data Scientist, AWS certified ML specialist, TensorFlow certified developer with background in natural language processing, computer vision and speech recognition.
  • Currently focused on developing valuable scientific solutions for search products for the 84.51º Digital Relevancy Science team.
  • Previously, worked towards research and development of deep learning applications for structured/unstructured data to create a scalable system for eContext's taxonomy of 500,000 categories.
  • Good grasp of data analysis, data cleaning, deep learning algorithms and training train low bias, low variance models.
  • Theoretical knowledge of the underpinnings of algorithms and statistics.
  • Strong expertise to grok research papers from different domains of deep learning.
  • Adroitness to understand business problems and building data-driven solutions.
  • High proficiency with deploying large scale models in production with TensorFlow/TF-Serving, PyTorch/TorchServe.

Licenses & Certifications:


AWS TF



GitHub Stats:

spate141's Github Stats


GitHub Streak

StackOverflow Stats:

profile for Snehal on Stack Exchange, a network of free, community-driven Q&A sites

fasttext's People

Contributors

ajoulin avatar alexbeletsky avatar edouardgrave avatar gojomo avatar infinite-joy avatar jaytaylor avatar piotr-bojanowski avatar pyk avatar xeb avatar

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