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GenFu is a library you can use to generate realistic test data. It is composed of several property fillers that can populate commonly named properties through reflection using an internal database of values or randomly created data. You can override any of the fillers, give GenFu hints on how to fill them.

:heavy_check_mark: Mock data for your prototypes and demos. Remote deployments to Zeit now.

  • atmo
  • prototyping
  • mock-services
  • mock-server

Free, open-source AWS emulator. LocalStack alternative: 107 services, 7,657 operations, true 100% Smithy conformance (257,522/257,522 variants pass). No account, no auth token, no paid tier.

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.

  • tabular-data
  • gans
  • train-dataframe
  • adversarial-filtering