fairness VS fairlearn

Compare fairness vs fairlearn and see what are their differences.

fairness

It's about Fairness. Supporting the CULT Family https://github.com/orgs/cultfamily-on-github/repositories (by michael-spengler)
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fairness fairlearn
5 6
15 1,821
- 2.5%
2.8 8.0
9 months ago 4 days ago
Svelte Python
GNU Affero General Public License v3.0 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.

fairness

Posts with mentions or reviews of fairness. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-04.
  • Acts of RVLT Round 1 - Public discourse to calibrate judgement with the CULT Family Members
    2 projects | /r/RVLTStreetBets | 4 Jul 2022
    Act of Revolt: (Foster The RVLT Ecosystem By Providing Prototypes, Web Apps, Concepts, Promotion & Communities) Social Handle(s) https://twitter.com/Peer2peerE https://www.facebook.com/michael.spengler.5686 https://www.reddit.com/user/WeeklySomewhere7653 https://www.linkedin.com/in/michael-spengler-0a58b489 Description I have provided the following public goods for RVLT. Feedback and Contributions on all of them are welcome. 1. https://github.com/michael-spengler/fairness/blob/main/README.md - really worth reading imo 2. https://cultdao-ecosystem.eth.limo - handing out welcome presents (CULT) - this helps esp. people who are completely new to the space in understanding metamask.io etc. 3. https://rvlt-ecosystem.eth.limo - handing out welcome presents (RVLT) - as soon as people understood how to use metamask.io the next level is to prepare it for the Polygon Chain --> this is also the sequence how I coach my newbie friends... 4. https://www.reddit.com/r/RVLTStreetBets/ - Pricing Power for CULT & RVLT shall stay in the Hands of The Many - Therefore and to fill the CULT & RVLT Treasuries I'm about to facilitat this community - Feedback = very welcome 5. https://www.reddit.com/r/cultdao/comments/vov76b/acts\_of\_rvlt\_idea\_collection/ - I like closing feedback loops because many people learn via feedback --> so it is valuable to me to learn what others think of specific RVLT ideas at a relatively early point in time :) The main reason why I request a reward is that I want to have CULT & RVLT to scale the approaches mentioned in point 2 & 3. Additionally I would be happy if I could completely quit my so-far mainstream job and work for the CULT in a more focused way than I do it so far. Images and Evidence https://github.com/michael-spengler/fairness/blob/main/README.md https://cultdao-ecosystem.eth.limo https://rvlt-ecosystem.eth.limo https://www.reddit.com/r/RVLTStreetBets https://www.reddit.com/r/cultdao/comments/vov76b/acts\_of\_rvlt\_idea\_collection Allocation from Treasury 1 ETH Reward Distribution 40% will go to your designated wallet. 25% will go to all RVLT stakers. 25% will be burned. 5% will buy and burn CULT. 5% will go to CULTmanders that voted as an incentive. Revolutionary Wallet 0x4396A292512AA418087645B56a3a76333Bd10e28
  • Goals of RVLTStreetBets
    1 project | /r/RVLTStreetBets | 3 Jul 2022
    Support team RVLTing, improve fairness etc.
  • Acts of RVLT Idea Collection
    2 projects | /r/cultdao | 1 Jul 2022
    (I created a very basic skeleton / draft for this in https://github.com/michael-spengler/fairness)
    1 project | /r/cultdao | 1 Jul 2022

fairlearn

Posts with mentions or reviews of fairlearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-28.

What are some alternatives?

When comparing fairness and fairlearn you can also consider the following projects:

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.

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

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

Jenkins - Jenkins automation server

seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency