Experiments

This is a repository with some useful information.
Notebooks:

• Classification:
  • Sarcasm prediction (binary, 1M rows) jupyter notebook

Investigational scripts:

• Full-Text search in SQLite
  It is a gentle demonstration of how Full-Text search (FTS5) in SQLite can be used to efficiently:
  • Search a large collection of documents for the subset that contain one or more instances of a search term.
  • Predict intents and classify text on mobile phones out of the box without using Tensorflow-lite and Pytorch for Mobile. Although it doesn't show great accuracy on large datasets, it can be used for small dataset with short phrases (commands, for example).
• Demonstration of how to convert Universal Sentence Embedding Multilingual to tf-lite mode to use it for inference, for example, on mobile platforms like Android or iOS.

Learning:

• Self-paced mlcourse.ai
• Python Stepik Course