Python String-similarity Resources

flynt - string formatting converter flynt is a command line tool to automatically convert a project's Python code from old "%-formatted" and .format(.

Gradient representations in ReLU networks as similarity functions by Dániel Rácz and Bálint Daróczy. This repo contains the python code related to our

TransMaS This repository is the official pytorch implementation of the following paper: NIPS2021 Mixed Supervised Object Detection by TransferringMask

Made with Python3 (C) @FayasNoushad Copyright permission under MIT License License - https://github.com/FayasNoushad/String-Extract-Bot/blob/main/LIC

[NeurIPS 2021] A weak-shot object detection approach by transferring semantic similarity and mask prior.

int-obfuscator Obfuscate your python code into a string of integers. De-obfuscate also supported. How it works: Each printable character gets replaced

IsoTree Fast and multi-threaded implementation of Extended Isolation Forest, Fair-Cut Forest, SCiForest (a.k.a. Split-Criterion iForest), and regular

CSA: Contextual Similarity Aggregation with Self-attention for Visual Re-ranking PyTorch training code for CSA (Contextual Similarity Aggregation). We

Auto-Research A no-code utility to generate a detailed well-cited survey with topic clustered sections (draft paper format) and other interesting arti

Mesi Mesi is a tool to measure the similarity in a many-to-many fashion of long-form documents like Python source code or technical writing. The outpu

CSA: Contextual Similarity Aggregation with Self-attention for Visual Re-ranking PyTorch training code for CSA (Contextual Similarity Aggregation). We

NLP learning Trying to learn NLP to use in my projects! Table of Contents About The Project Built With Getting Started Requirements Run Usage License

strbind strbind - lapidary text converter for translate an text file to the C-style string. My motivation is fast adding large text chunks to the C co

A string extractor module for python

Simple Cipher Encrypter About | New Features | Exemple | How To Use | License ℹ️ About A simple key-based text encryption process that encrypts a stri

Vector AI is a framework designed to make the process of building production grade vector based applications as quickly and easily as possible. Create

PyTorch Model Compare A tiny package to compare two neural networks in PyTorch. There are many ways to compare two neural networks, but one robust and

PurNet Project for the TIP 2021 Paper "Salient Object Detection with Purificatory Mechanism and Structural Similarity Loss" Abstract Image-based salie

Official PyTorch Implementation of Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition, ICCV 2021

String Spy is a project aimed at improving MacOS defenses. It allows users to constantly monitor all running processes for user-defined strings, and if it detects a process with such a string it will log the PID, process path, and user running the process. It will also (optionally) kill the process. For certain default C2s and other malicious software, this tool can quickly log and stop malicious behavior that normal AV does not recognize, and allows for customization.

Adversarial text generator Refer to "adversarial_text_generator"[https://github.com/quocnsh/SEPP_generator] project for generating adversarial texts A

Encryption using SHA256 Given a string or a .txt file with plain text. Returns his encryption using SHA256 method Requirements : pip install pyperclip

SimTrans-Weak-Shot-Classification This repository contains the official PyTorch implementation of the following paper: Weak-shot Fine-grained Classifi

Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

Official implementation of NeurIPS 2021 paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"

pyspark-anonymizer Python library which makes it possible to dynamically mask/anonymize data using JSON string or python dict rules in a PySpark envir

TensorFlow Similarity is a python package focused on making similarity learning quick and easy.

PAUSE: Positive and Annealed Unlabeled Sentence Embedding Sentence embedding refers to a set of effective and versatile techniques for converting raw

txtai executes machine-learning workflows to transform data and build AI-powered semantic search applications.

TOPSIS implementation in Python Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) CHING-LAI Hwang and Yoon introduced TOPSIS

KoSimCSE Korean Simple Contrastive Learning of Sentence Embeddings implementation using pytorch SimCSE Installation git clone https://github.com/BM-K/

hex2array-c Creates a C array from a hex-string. Usage Usage: python3 hex2array_c.py HEX_STRING [-h|--help] Use '-' to read the hex string from STDIN.

ISL This is the official pytorch implementation for the paper: Instance Similarity Learning for Unsupervised Feature Representation, which is accepted

emoji-math computes the given python expression and returns either the value or the nearest 5 emojis as measured by cosine similarity.

RapidFuzz is a fast string matching library for Python and C++, which is using the string similarity calculations from FuzzyWuzzy

SimGNN ⠀⠀⠀ A PyTorch implementation of SimGNN: A Neural Network Approach to Fast Graph Similarity Computation (WSDM 2019). Abstract Graph similarity s

ISC 2021 This repository contains code for the Image Similarity Challenge 2021. Getting started The docs subdirectory has step-by-step instructions on

pyquotes Single quotes are superior. And if you disagree, there's an option for this as well. In any case, quotes should be consistent throughout the

AugNet AugNet: End-to-End Unsupervised Visual Representation Learning with Image Augmentation arxiv link In our work, we propose AugNet, a new deep le

gle_ip_info glip is a module for retrieve ip address like local-ip, global-ip, external-ip as string.

A curated list of awesome resources related to Semantic Search🔎 and Semantic Similarity tasks.

Wietse de Vries • Martijn Bartelds • Malvina Nissim • Martijn Wieling Adapting Monolingual Models: Data can be Scarce when Language Similarity is High

TG String Session Generate Pyrogram String Session Using this bot. Demo Bot: Configs: API_HASH Get from Here. API_ID Get from Here. BOT_TOKEN Telegram

PAWS-TF 🐾 Implementation of Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples (PAWS)

It selects the best indexing parameters to achieve the highest recalls given memory and query speed constraints.

Quasi-Dense Tracking This is the offical implementation of paper Quasi-Dense Similarity Learning for Multiple Object Tracking. We present a trailer th

SGRAF PyTorch implementation for AAAI2021 paper of “Similarity Reasoning and Filtration for Image-Text Matching”. It is built on top of the SCAN and C

This is the code of "Scene Text Retrieval via Joint Text Detection and Similarity Learning". For more details, please refer to our CVPR2021 paper.

simplematch Minimal, super readable string pattern matching for python. import simplematch simplematch.match("He* {planet}!", "Hello World!") {"p

ReSim This repository provides the PyTorch implementation of Region Similarity Representation Learning (ReSim) described in this paper: @Article{xiao2

Top2Vec is an algorithm for topic modeling and semantic search. It automatically detects topics present in text and generates jointly embedded topic, document and word vectors.

Monocular Quasi-Dense 3D Object Tracking Monocular Quasi-Dense 3D Object Tracking (QD-3DT) is an online framework detects and tracks objects in 3D usi

一款高性能非法词(敏感词)检测组件，附带繁体简体互换，支持全角半角互换，获取拼音首字母，获取拼音字母，拼音模糊搜索等功能。

HyperTag HyperTag helps humans intuitively express how they think about their files using tags and machine learning.

HyperTag helps humans intuitively express how they think about their files using tags and machine learning. Represent how you think using tags. Find what you look for using semantic search for your text documents (yes, even PDF's) and images.

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

pyahocorasick pyahocorasick is a fast and memory efficient library for exact or approximate multi-pattern string search meaning that you can find mult

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

pyahocorasick pyahocorasick is a fast and memory efficient library for exact or approximate multi-pattern string search meaning that you can find mult

Contents Maintainer wanted Introduction Installation Documentation License History Source code Authors Maintainer wanted I am looking for a new mainta

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

FuzzyWuzzy Fuzzy string matching like a boss. It uses Levenshtein Distance to calculate the differences between sequences in a simple-to-use package.

gensim – Topic Modelling in Python Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Targ

PyTime PyTime is an easy-use Python module which aims to operate date/time/datetime by string. PyTime allows you using nonregular datetime string to g