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.
A little NLP fun: finding which words can be made using only the symbols of Mendeleev's Table (perhaps more commonly, though less justly) also known as the Periodic Table. The trick here is that we will use multiple languages. Even scripts (to the degree that they can be found), starting with Cyrillic.
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
Fine-tuning GPT-3.5 and Llama3 LLMs for enhanced persona consistency in chatbots using Google's Synthetic Persona Chat dataset
basic algorithm for NLP
An easy way to use the Perplexity platform in Swift.
statistical natural language processing with n-gram,Smoothing,Perplexity.
Django Application linked to PHP
This program uses diphone (bigram) and triphone (trigram) models to represent Mainstream American English (MAE) phonotactics.
A lightweight Go library for interacting with the Perplexity AI API, focusing on the chat completion endpoint.
The autocomplete system model for Indonesian was built using the perplexity score approach and n-grams count probability in determining the next word.
The projects for the NLP course at the University of Isfahan.
A simple, unified NPM-based interface for interacting with multiple Large Language Model (LLM) APIs, including OpenAI, AI21 Studio, Anthropic, Cloudflare AI, Cohere, DeepInfra, Fireworks AI, Friendli AI, Google Gemini, Goose AI, Groq, Hugging Face, Mistral AI, Monster API, Octo AI, Perplexity, Reka AI, watsonx.ai, and LLaMA.cpp.
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.
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