AIF360 VS clai

Compare AIF360 vs clai and see what are their differences.

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. (by Trusted-AI)

clai

Command Line Artificial Intelligence or CLAI is an open-sourced project from IBM Research aimed to bring the power of AI to the command line interface. (by IBM)
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AIF360 clai
6 1
2,311 449
2.3% -
7.2 0.0
9 days ago about 1 year ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

AIF360

Posts with mentions or reviews of AIF360. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-10.

clai

Posts with mentions or reviews of clai. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AIF360 and clai you can also consider the following projects:

fairlearn - A Python package to assess and improve fairness of machine learning models.

MLflow - Open source platform for the machine learning lifecycle

pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]

typedb-ml - TypeDB-ML is the Machine Learning integrations library for TypeDB

AIX360 - Interpretability and explainability of data and machine learning models

pycm - Multi-class confusion matrix library in Python

interpret - Fit interpretable models. Explain blackbox machine learning.

polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

0xDeCA10B - Sharing Updatable Models (SUM) on Blockchain

model-card-toolkit - A toolkit that streamlines and automates the generation of model cards

verifyml - Open-source toolkit to help companies implement responsible AI workflows.