Text Summarization using NLP to fetch BBC News Article and summarize its text and also it includes custom article Summarization Features Of Data Analysis Web App Get your custom Text Summarized. we automatically Summarize text of BCC News so that you dont have to read whole article. Check out the live demo: https://text–summarization.herokuapp.com/ Vedio demo: Use this URL – Click Me – in case if you are faccing any problem with source code. Source Code: github link How to run […]

LazyText is inspired b the idea of lazypredict, a library which helps build a lot of basic mpdels without much code. LazyText is for text what lazypredict is for numeric data. Free Software: MIT licence Installation To install LazyText pip install lazytext Usage To use lazytext import in your project as from lazytext.supervised import LazyTextPredict Text Classification Text classification on BBC News article classification.

ASCIIMATICS Asciimatics is a package to help people create full-screen text UIs (from interactive forms to ASCII animations) on any platform. It is licensed under the Apache Software Foundation License 2.0. Why? Why not? It brings a little joy to anyone who was programming in the 80s… Oh and it provides a single cross-platform Python class to do all the low-level console function you could ask for, including: Coloured/styled    

cacherdutexte.github.io This project contains : Python modules (binary and decimal system 6) with a dedicated tkinter program to use it. A web version, which is actually hosted on https://cacherdutexte.github.io. I explain below how the project works, but an english version is available. See directly the English explanation 🇬🇧 🇫🇷 Comment j’ai caché du texte dans du texte C’est une façon en manipulant les bits de cacher du texte dans du texte.Imaginons la chaine de caractère : Que je veux cacher […]

A simple Python package that wraps existing model fine-tuning and generation scripts for OpenAI‘s GPT-2 text generation model (specifically the “small” 124M and “medium” 355M hyperparameter versions). Additionally, this package allows easier generation of text, generating to a file for easy curation, allowing for prefixes to force the text to start with a given phrase. This package incorporates and makes minimal low-level changes to: Model management from OpenAI’s official GPT-2 repo (MIT License) Model finetuning from Neil Shepperd’s fork of […]

YouTokenToMe is an unsupervised text tokenizer focused on computational efficiency. It currently implements fast Byte Pair Encoding (BPE) [Sennrich et al.]. Our implementation is much faster in training and tokenization than Hugging Face, fastBPE and SentencePiece. In some test cases, it is 90 times faster. Check out our benchmark results. Key advantages: Multithreading for training and tokenization The algorithm has O(N) complexity, where N is the length of training data Highly efficient implementation in C++ Python wrapper and command-line interface […]

NLP Translation and Classification The repository contains a method for classifying and cleaning text using NLP transformers. Overview The input data are web-scraped product names gathered from various e-shops. The products are either monitors or printers. Each product in the dataset has a scraped name containing information about the product brand, and product model name, but also unwanted noise – irrelevant information about the item. Additionally, only some records are relevant, meaning that they belong to the correct category: monitor […]