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chauvietnam's Projects

aidr icon aidr

Artificial Intelligence for Digital Response

bertopic icon bertopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

blog icon blog

Public repo for HF blog posts

covid19-literature-clustering icon covid19-literature-clustering

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

dailytrends icon dailytrends

Python package to get the full time series for any search query with daily frequency.

deepface icon deepface

A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

facebook_page_scraper icon facebook_page_scraper

Scrapes facebook's pages front end with no limitations & provides a feature to turn data into structured JSON or CSV

gtrendsr icon gtrendsr

R functions to perform and display Google Trends queries

kagnet icon kagnet

Knowledge-Aware Graph Networks for Commonsense Reasoning (EMNLP-IJCNLP 19)

machine_learning_refined icon machine_learning_refined

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

mediawiki-api-demos icon mediawiki-api-demos

Demo apps and code snippets in Python, Javascript and PHP demonstrating how to use various modules of the MediaWiki Action API

nlp_yelp_review_unsupervised icon nlp_yelp_review_unsupervised

Train unsupervised LDA Topic Model on raw Yelp review text, use topic distributions as feature inputs to supervised classifier of review sentiment

octis icon octis

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

pafy icon pafy

Python library to download YouTube content and retrieve metadata

practical-machine-learning-with-python icon practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

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