Name: Christina Taft
Type: User
Company: Worldie - Social Media for Good
Bio: Living Adventure, Liberty, & Ethics to Explore ๐ฏ Founder of Social Media for Good CEO ๐ฝ๐ Worldie & Rescue Social Tech ๐ Tess Mercer & Oliver Queen in GREECE
Location: Traveling Liberty
Blog: http://Worldie.com
Christina Taft's Projects
3proxy - tiny free proxy server
How to create a 4G proxy from a USB modem/dongle and a Raspberry Pi using Proxidize free script
Aspect Based Sentiment Analysis, PyTorch Implementations. ๅบไบๆน้ข็ๆ
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World's First Profanity Library.
in accordance to the requirements of CSCE 689 NLP course
3 networks to recognition age,gender and emotion
Age and gender detection algorithm based on Adrian Rosebrock's code
Extracted code from plus modifications to "A Prolog Meta-Interpreter for AgentSpeak(L)" by Dimitrios Dimitriadis
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Alex Dialogue Systems Framework
Dataset for NLG which contains preceding context along with each generation instance
Alexa skill for helping create a sentence or story by chosing the next word in a sentence for you using simple NLG techniques. Mad-lib like.
Clear browser history in Chrome.
Code for our ACL19 paper on argument generation
This is an Emergency Response system built for providing connection with relief camps in case of floods.
A paper list for aspect based sentiment analysis and emotion-cause pair extraction.
A client tracking and reporting system for agencies providing services to victims of domestic abuse.
Given a Twitter feed, determine whether its author is a bot or a human.
Clears history on page load
[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
๐ต๏ธ A curated list of awesome TraceLabs-endorsed OSINT tools
TensorFlow code and pre-trained models for BERT
A tool that create hope for emergencies patient
The objective of this challenge is to develop a machine learning model that classifies statements and questions expressed by university students in Kenya when speaking about the mental health challenges they struggle with. The four categories are depression, suicide, alchoholism, and drug abuse.
Integrate small talk into your bot using Microsoft.Bot.Builder.PersonalityChat nuget packages.
A list of temporary email providers