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Phillip Peng's Projects

tensor-house icon tensor-house

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

tensorflow icon tensorflow

An Open Source Machine Learning Framework for Everyone

texthero icon texthero

Text preprocessing, representation and visualization from zero to hero.

thesemicolon icon thesemicolon

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

time-serious icon time-serious

Automated journalism from data and time series analysis

tmtoolkit icon tmtoolkit

Text Mining and Topic Modeling Toolkit for Python with parallel processing power

topic-modeling icon topic-modeling

This repository contains as intuitive example on topic-modeling using regular LDA, and how GuidedLDA is better than regular LDA

topic-network icon topic-network

Topic modeling with text networks using community detection

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformertts icon transformertts

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

tsfresh icon tsfresh

Automatic extraction of relevant features from time series:

tweetscraper icon tweetscraper

TweetScraper is a simple crawler/spider for Twitter Search without using API

twint icon twint

An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.

voca icon voca

Voice Operated Character Animation

wav2lip icon wav2lip

This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.

witeachai icon witeachai

Witeach.ai is a conversational AI engine built on top of Wit.ai and Wav2Lip. This project is submitted to "Build AI voice interactions with Wit.ai" competition. (https://fbai3.devpost.com/)

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