There are 10 repositories under data-generation topic.
Grounded-SAM: Marrying Grounding-DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
A powerful, feature-rich, random test data generator.
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
The Declarative Data Generator
Data generation and property-based testing for Elixir. 🔮
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
Generate strings that match a given regular expression
Deep Convolutional Neural Networks for Musical Source Separation
Random dataframe and database table generator
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
C++ Faker library for generating fake (but realistic) data.
A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
📖 A curated list of resources dedicated to synthetic data
Custom image data generator for TF Keras that supports the modern augmentation module albumentations
Mockingbird is a mock streaming data generator
Ranger is contextual data generator used to make sensible data for integration tests or to play with it in the database
Neuralyzer is a library and a command line tool to anonymize databases (by updating existing data or populating a table with fake data)
Just a small open-source script to create fake data given a simple JSON model.
Example repository showing how to utilise k6 and faker to load test using generated data