Mimesis is a Python library for generating fake but realistic data in multiple languages and locales.
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Python Toolkit for Causal and Probabilistic Reasoning
Synthetic data generators for tabular and time-series data
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
Realistic synthetic events for testing, demos, and pipelines — streamed live or generated in bulk
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.