Synthetic data generators for tabular and time-series data
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Updated
Dec 10, 2024 - Jupyter Notebook
Synthetic data generators for tabular and time-series data
Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines
🐙 Generate mock data effortlessly from TypeScript interfaces in a web application powered by Next.js and NextUI.
Python application to write stock security data to a MongoDB Cluster. Supports a variable amount of stocks, variable amount of time and can write to a MongoDB time-series collection
This script is designed to convert bodies of text into a question and answer JSON format using the GPT-4 language model. The process involves extracting text from PDF files, tokenizing the text, generating questions and answers, and then saving the results in a JSON file.
This repository features the MVP of FrostyGen, a data generator app on Streamlit. Work is in progress to offer it as a native app on the Snowflake Marketplace.
A python library oriented telegram bot to generate random data's
JR (jrnd.io) Source Connector for Apache Kafka Connect
Fake banking data for your front- or backend
Gerador de pessoas
Example API implementation for Data Caterer
India Academia Connect AI Hackathon October 2021
Documentation for Data Caterer
💻 A web application for generating simulated data for testing purposes, supporting a wide range of data types and output formats.
An collection of some useful models/entities/classes for rapid prototyping in .net core and / or creating unittests for development stuff.
DataGenerator for 3D-CNN in keras and tensorflow
This tool is suitable for application testing needs, creating fake databases, or other needs that require realistic data.
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