📝 JagTag is a simple - yet powerful and customizable - interpretted text parsing language!
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Updated
Feb 28, 2020 - Java
📝 JagTag is a simple - yet powerful and customizable - interpretted text parsing language!
Auto Trader automates stock option trading. The server uses a Discord bot to listen to stock option signals from preferred traders. Valid signals are parsed and placed into a storage bucket. The client listens to the storage bucket and places validated stock option trades with a brokerage account.
tokyo, a REST API, when given any type of document 📄, Identifies mime-type 🧐. Suggests extension 🦔. Alas Extracts text 💪.
This project is designed to extract text from documents and prepare it for processing by Large Language Models (LLM). Implemented a feature to store and utilize text style information, enabling the program to identify and segment content based on potential headers and titles.
Unix CLI for transforming lists of unquoted or quoted strings
a Unix CLI that facilitates breaking input into groups of characters
The only parser you need
CHAT 🗣️ SUMMARY 📈 ANALYSIS
Smithsonian Trinomial splitting and lookup functions in Python.
Script for tracking history on PokerStars
Tool for generating synthetic images for natural language text descriptions in English.
Sistema Inteligente de Processamento de Ordens de Serviço / Intelligent Order Processing System. ENG: A software that automates the process of creating daily Service Orders (S.O.) for Portuguese military units. PT:. Um software que automatiza o processo de criação das Ordens de Serviço (O.S.) diárias das unidade militares portuguesas.
Trabalho final da disciplina de Programação Funcional, cursada em 2020.1 com o Prof. Dr. Admilson de Ribamar
Simple script to parse a text file into a markdown one with predeterminate format.
Purpose for make more natural TTS services by modifying scripts.
Mini project 2 for NLP class
This software is an implementation of Author Profiling Model in 4 languages. 1. English 2. Arabic 3. Portugese 4. Spanish Authors are profiled on the basis of Gender and Region. The Model is trained over PAN 2107 provided Twitter data of various users. Currently for size concerns 20 data files from each language is included into pan folder for t…
Ability to isolate the numeric portion of a text file to output the average spam confidence and count emails sent out on a particular day of the week. Both files used to forecast email spam.
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