Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
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The Declarative Data Generator
Data generation and property-based testing for Elixir. 🔮
We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review and examine some recent papers about tabular GANs in action.
Generate strings that match a given regular expression
C++ Faker library for generating fake (but realistic) data.
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Generate realistic IoT test data and send it via MQTT, HTTP, or TCP.