Practical demonstration of scikit learn library for building various classification and regression models
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Updated
May 15, 2020 - Jupyter Notebook
Practical demonstration of scikit learn library for building various classification and regression models
This connector allows you to access Preplexite AI API from within Prompt Mixer.
Word-prediction algorithm implemented in R (with R Shiny app) then redone in a simplified Python version
Experiments related to things to do with SAR data that might be useful.
basic algorithm for NLP
[NOT FUNCTIONAL] Unofficial Perplexity website wrapper with anticaptcha module
An easy way to use the Perplexity platform in Swift.
The autocomplete system model for Indonesian was built using the perplexity score approach and n-grams count probability in determining the next word.
Scrapes product hunt and posts thoughts on the products along with a rating to @newappidea telegram channel
Django Application linked to PHP
statistical natural language processing with n-gram,Smoothing,Perplexity.
This program uses diphone (bigram) and triphone (trigram) models to represent Mainstream American English (MAE) phonotactics.
NLP project on Language Modelling - ENSAE ParisTech
In this project we will generate the sentences using ngrams
A powerful and easy-to-use PHP SDK for the pplx API, allowing seamless integration of advanced AI-powered features into your PHP projects.
Bigram and Trigram Language Models. This repository provides my solution for the 1st Assignment for the course of Text Analytics for the MSc in Data Science at Athens University of Economics and Business.
Split WooCommerce Into Microservices Using Python to Develop them, Jenkins As CI/CD Server, Docker To Containerize The Microservices And Deploy the solution.
Simple homepage written. Made to learn more Svelte, and other technologies. Now opensourced :)
N-gram Language Model
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