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

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

Gerador de pessoas

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.

A tool to generate data. For your projects or just to watch it flow in the terminal.

Data Generator (multipurpose) for training TensorFlow|Keras models

Fraud detection model

Python script will generate the 4 crore data in 20 seconds. it will generate employee data with first name, last name, email, gender, phone number, age, salary, level, experience. This all fake data will store into json file.

Stochastic estimations based on predefined MAPE score

Automatic Video Frame Extraction and Clip Creation from YouTube videos

Python app that generates random stock securities with initial prices and insert them into MongoDB