Libraries tagged by production data

A Laravel package that provides functionalities for detecting sensitive information and patterns in the database, helping to ensure data privacy and security by empowering developers to easily integrate database scanning capabilities into their applications and take proactive measures to protect sensitive data.

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Programmatically composable privacy policies for humans and machines

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An example project using a multi layer feed forward neural network for text sentiment classification trained with 25,000 movie reviews from IMDB.

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An example project that predicts house prices for a Kaggle competition using a Gradient Boosted Machine.

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An example project that predicts the risk of credit card default using a Logistic Regression classifier and a 30,000 sample dataset of credit card customers.

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Input generation library for value resolution, data persistence, templates, CSRF and protection from XSS.

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Open source texts for a privacy policy in german and english. Available as php or json.

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A Privacy Policy Package for Laravel Applications. Supports german and english languages.

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A multi-round polynomial-based encryption layer on top of AES-256 for enhanced security, without requiring GMP.

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Use the K Nearest Neighbors algorithm to predict the probability of a divorce.

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Agnostic model to efficiently query and scroll any kind of data (SQL, Search engine, HTTP API, CSV, ...) and push them anywhere with a ETL

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CryptoManana is a cryptography framework for boosting your project's security.

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An example project that predicts if Titanic passenger survives for a Kaggle competition using a Random Forest classifier.

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A Laravel package to securely encrypt form fields on the client-side using public key encryption and decrypt them on the server-side using the private key.

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The plugin updates live water temp and tide prediction data from NOAA.

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