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#

data-generation

Here are 269 public repositories matching this topic...

Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

  • UpdatedSep 5, 2024
  • Jupyter Notebook
SDV

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

  • UpdatedAug 14, 2024

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

  • UpdatedJul 25, 2024
  • Jupyter Notebook
CTGAN

Conditional GAN for generating synthetic tabular data.

  • UpdatedApr 28, 2025
  • Python

Data generation and property-based testing for Elixir. 🔮

  • UpdatedMar 28, 2025
  • Elixir
Copulas

Generate strings that match a given regular expression

  • UpdatedMay 20, 2024
  • Ruby

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

  • UpdatedMar 7, 2025
  • Python

C++ Faker library for generating fake (but realistic) data.

  • UpdatedMar 11, 2025
  • C++

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

  • UpdatedJan 18, 2024
  • Jupyter Notebook

A novel approach for synthesizing tabular data using pretrained large language models

  • UpdatedOct 29, 2024
  • Python

Generate random data sets

  • UpdatedOct 3, 2022
  • R

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

  • UpdatedMar 11, 2025
  • Jupyter Notebook

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