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Mary Michael 👋

  • Data science practitioner.
  • Works on Machine Learning and Deep Learning Projects.
  • Keen interest in Natural Language Processing.

Some of my general NLP projects are:

  • Topic Modelling: Classification of documents into different groups

  • Sentiment Analysis_1: Polarity (positive and negative [-1, 1]) and subjectivity (facts and opinions [0, 1]) of documents are calculated.

  • Sentiment Analysis_2: Reviews are divided into positive or negative category

  • Text Summarization: Extractive summarization of text.

Mary Michael's Projects

auto-gpt icon auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

awesome-datascience icon awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

data-science icon data-science

Collection of useful data science topics along with code and articles

dialogsum icon dialogsum

DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021

flasgger icon flasgger

Easy OpenAPI specs and Swagger UI for your Flask API

gitignore icon gitignore

A collection of useful .gitignore templates

pytube3 icon pytube3

A lightweight, dependency-free Python 3 library (and command-line utility) for downloading YouTube Videos.

rio icon rio

Kubernetes based MicroPaaS

textrl icon textrl

Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)

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