World Level American Sign Language Recognition and Translation to Spoken Language
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Updated
May 6, 2024 - Python
World Level American Sign Language Recognition and Translation to Spoken Language
Generate text under lexical constraints.
This project is about end-to-end implementation of sentence paraphrasing model using the docker
This is a "literary style imitation algorithm". The primary purpose is to mimic the style and tone of the original text. It creates new content based on the input text rather than directly copying existing content. It uses Markov chains for sentence generation and the ChatGPT-API for grammar cleanup.
Exploring markov chains in python for sentence generation
A Markov Chain that generate a proper caption for an image (sort of)
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