AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.
Open source
24 alternativesHow do FastDatasets and AutoViz compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | FastDatasets | AutoViz |
|---|---|---|
| What it is | FastDatasets helps create training datasets for large language models. | AutoViz automatically creates visualizations for datasets of different sizes from a single line of code. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both FastDatasets and AutoViz.
AIF360 provides fairness metrics and explanations for datasets and models, along with algorithms to mitigate bias.
Snorkel helps generate training data programmatically through weak supervision.
NALP covers Natural Adversarial Language Processing through a dedicated library.
pytorch tabular provides a unified framework for deep learning models on tabular data.
A Python package to assess and improve fairness of machine learning models.
Ultralytics supports detection, segmentation, image classification, pose estimation, and tracking across YOLO model versions.