Synthetic data generators for tabular and time-series data
- gan-architectures
- gan
- deep-learning
- synthetic-data
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Angora is a mutation-based fuzzer. The main goal of Angora is to increase branch coverage by solving path constraints without symbolic execution.
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
Owi: Seamless program analysis for C, C++, Go, Haskell, LLVM, Rust, Wasm and Zig.
Port of hamcrest to ActionScript 3, a library of matcher objects (also known as constraints or predicates) allowing 'match' rules to be defined declaratively, to be used in other frameworks. Typical scenarios include testing frameworks, mocking libraries and UI validation rules.
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
- testdata
- anonymization
- migration
- performance-testing
MicroPython based ESP WiFi Manager
- esp32
- esp8266
- micropython
- library
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
- safety
- scenario
Teaches students Robot programming in python by having them create code that passes the unit tests
- robotpy
- python
- frc-robot
An open-source mobile app explicitly designed as a QA automation training playground.
- android-app
- appium
- espresso
- ios-app