Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
-
Updated
Mar 25, 2020 - CSS
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
💥 displaCy-ent.js: An open-source named entity visualiser for the modern web
Typing Assistant provides the ability to autocomplete words and suggests predictions for the next word. This makes typing faster, more intelligent and reduces effort.
📘Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
A platform which solves maths word problems in English language
This is simple chatbot using NLP which is implemented on Flask WebApp.
Tensorflow Implementation of Im2Latex
List of ML conferences with important dates and accepted paper list
The code base of the front-end of nocodefunctions.com
A marketing tool that helps you to market your products using organic marketing. This tool can potentially save you 1000s of dollars every year. The tool predicts the reach of your posts on social media and also suggests you hashtags for captions in such a way that it increases your reach.
Scripts utilizing Heartex platform to build brand sentiment analysis from the news
VN AIDr - Open source medical image processing platform
Recurrent Neural Network kullanımı ile farklı yazılı sanat alanlarında doğal dil üretimi gerçekleştiren bir çalışma.
cross-platform demo for text-mining.ir APIs
Genessay is a content generation system where the user can enter incomplete sentences and phrases and the system will generate the content according to the input
The official website and documentation for viky.ai
In this repo I have develop a SMS Spam Prediction project using FlaskApp and deploy on heroku.
Created by Alan Turing