There are 3 repositories under natural topic.
⚡️ OpenAI PHP is a supercharged community-maintained PHP API client that allows you to interact with OpenAI API.
This library provides a way to move cursor to specified coordinates on screen reliably, while being randomly arced to look like real hand moved it there by using a mouse. The default settings should look good enough for most cases, but if user wishes, they can heavily customize the settings and implementations responsible for the trajectory of the cursor for specific use cases.
A lazy load, infinite scroll and natural layout list gallery
A tiny neural network for natural language detection.
Some Data Science examples using Groovy
EYE-EEG toolbox for combining eye-tracking & EEG
Solve your natural language processing problems with smart deep neural networks
KPQA is an evaluation metric for generative question answering. (NAACL-21)
Application made with Node.js and Python.
Harvard University's CS50AI - Introduction to AI
Do you want to improve your vision? Regular eye exercises may help you to improve eyesight and prevent eye diseases such as nearsightedness and farsightedness. This application contains eye exercises which might become a part of your vision therapy.
Natural Code Samples contributed by the Natural community for Natural developers to implement standard or specific programming pattern
A NPM package that summarizes large bodies of text using textrank
Plugin for related posts in Eleventy.
Repo to win Deloitte Hackathon 2019
This repository houses a Python application for extracting YouTube video transcripts and summarizing its content.
Javascript / Node.js utility library. Returns a set of utility functions, available through the lineArr namespace, which serve to generate arrays populated with sequences such as natural or stepWithOffset sequence, and to check if an array is a sequence of a certain type (like a natural sequence [0,1,2,3,4])
Sort an array of objects by one or more properties.
This is AI ChatBot. I make it By AI(NLP). I know sometime it's show wrong answer because i use less data to train my model because i haven't big dataset. you can read my code and you can learn many thing. This chatbot is not bad at all. You can have fun with it in your spare time if you want.
Adabas & Natural sample Application for testing DevOps approaches