synthcity
EthicML
| synthcity | EthicML | |
|---|---|---|
| 4 | 1 | |
| 362 | 24 | |
| 4.4% | - | |
| 7.2 | 9.3 | |
| 15 days ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 only |
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synthcity
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Benchmark synthetic tabular data generators using Syunthcity
Library: https://github.com/vanderschaarlab/synthcity
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Tired of synthetic corgi?Check out Synthcity,a tool for synthetic tabular data
Synthcity is a library for generating and benchmarking synthetic tabular data. https://github.com/vanderschaarlab/synthcity
Synthcity includes a wide range of algorithms for various use cases, such as:
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[P] Tired of generating synthetic corgis❓🐶 Check out Synthcity, a framework for synthetic tabular data
🌟 Synthcity isa library for generating and benchmarking synthetic tabular data. https://github.com/vanderschaarlab/synthcity
EthicML
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[R] An overview of some available Fairness Frameworks & Packages
These are all great tools. I found though that there wasn't one package with the flexibility of what we needed in my research group for work in this area, so we wrote EthicML. Some of you may also find it useful too.
What are some alternatives?
responsible-ai-toolbox - Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
DALEX - moDel Agnostic Language for Exploration and eXplanation
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
pygod - A Python Library for Graph Outlier Detection (Anomaly Detection)
fairlearn - A Python package to assess and improve fairness of machine learning models.
verifyml - Open-source toolkit to help companies implement responsible AI workflows.
AIF360 - A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.