Showing 1-11 of 11 projects
A set of Jupyter Notebooks that combine Grounding DINO, Segment Anything, and Stable Diffusion for automatic detection, segmentation, and generation of anything in images.
A simple fake data generator for .NET that helps developers quickly create realistic test data.
A persistent service that generates mock data and provides a visualization view for developers.
Generates synthetic tabular data for machine learning and AI applications
A specialized Python framework for generating high-quality structured tabular data for AI and ML applications.
RoboTwin is an open-source platform for building AI-powered robotics projects with a focus on embodied AI.
A curated list of awesome AI, ML, and DL resources, including code, tutorials, and study notes.
A comprehensive collection of data augmentation resources and techniques for developers working with AI tools.
Synth is a Rust library for generating realistic, randomized test data for applications and databases.
A pure Elixir library for generating fake data for testing and seeding databases.
A Java library that generates fully populated objects for unit testing, helping developers create realistic test data.
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