String Gen + Word Checker

Last update: Jan 06, 2022

Overview

String Gen + Word Checker

Hol' on, What does it do again?

Creates Random Strings.

''.join(random.choices(string.ascii_lowercase, k = N))
Uses rudimentary string generation depending on how long i want it.

Checks If Any of Those Random Strings Are Words.

It gets a list of words from either 10000 Word List or 100000 Word List the 10000 is technically faster but less hit chances and more chance of getting actual words, 100000 very slightly slower but more hit chances but high chance of getting abbreviations of random setences

Why?

Beginners

I made this for beginners in py looking to learn, i'm kinda of a beginner too so yeah

Works

it works, its fast, cool to look at need more reason?

How it looks?

Want To Contribute?

I'm more then open to contributions to make it faster, or to improve its design, or just a better word list, etc.

Fork  
           do changes 
                           Pull request

Thank You! :)

Owner

GitHub Repository

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String Gen + Word Checker

Related tags

Overview

String Gen + Word Checker

Hol' on, What does it do again?

Why?

How it looks?

Want To Contribute?

Owner

BiNE: Bipartite Network Embedding

Malware-Related Sentence Classification

Code for "Generative adversarial networks for reconstructing natural images from brain activity".

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

In this Notebook I've build some machine-learning and deep-learning to classify corona virus tweets, in both multi class classification and binary classification.

Guide to using pre-trained large language models of source code

An extension for asreview implements a version of the tf-idf feature extractor that saves the matrix and the vocabulary.

An ActivityWatch watcher to pose questions to the user and record her answers.

Machine learning models from Singapore's NLP research community

BERT score for text generation

LSTM based Sentiment Classification using Tensorflow - Amazon Reviews Rating

TPlinker for NER 中文/英文命名实体识别

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

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jel - Japanese Entity Linker - is Bi-encoder based entity linker for japanese.

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Shirt Bot is a discord bot which uses GPT-3 to generate text