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.

[NOT FUNCTIONAL] Unofficial Perplexity website wrapper with anticaptcha module

A set of interfaces normalize AI providers differences.

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.

This program uses diphone (bigram) and triphone (trigram) models to represent Mainstream American English (MAE) phonotactics.

statistical natural language processing with n-gram,Smoothing,Perplexity.

Django Application linked to PHP

basic algorithm for NLP

NLP project on Language Modelling - ENSAE ParisTech

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.

A simple toy alternative to Perplexity AI. 一个简单的Perplexity替代品。

Simple homepage written. Made to learn more Svelte, and other technologies. Now opensourced :)

You will learn to implement t-SNE models in scikit-learn and explain the limitations of t-SNE. Being able to abstract high-dimensional information into lower dimensions will prove helpful for visualization and exploratory analysis, as well as in conjunction with the clustering algorithms. By the end of this course, you will be able to find clus…

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