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)
fairness
It's about Fairness. Supporting the CULT Family https://github.com/orgs/cultfamily-on-github/repositories (by michael-spengler)
Our great sponsors
| AIF360 | fairness | |
|---|---|---|
| 6 | 5 | |
| 2,311 | 15 | |
| 2.3% | - | |
| 7.2 | 2.8 | |
| 9 days ago | 8 months ago | |
| Python | Svelte | |
| Apache License 2.0 | GNU Affero General Public License v3.0 |
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.
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.
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perspective off
o https://aif360.mybluemix.net/
- How to detect and tackle bias in my data?
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Building a Responsible AI Solution - Principles into Practice
Besides the existing monitoring solution mentioned in the section above, we were also took inspiration from continuous integration and continuous delivery (CI/CD) testing tools like Jenkins and Circle CI, on the engineering front, and existing fairness libraries like Microsoft's Fairlearn and IMB's Fairness 360, on the machine learning side of things.
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Hi Reddit! I'm Milena Pribic, Advisory Designer for AI and the global design representative for AI Ethics at IBM. Ask me anything about scaling ethical AI practices at a huge company!
My advice is to remember that bias comes into the process intentionally and unintentionally! Tools like AI Fairness 360 can help you mitigate that from a development/technical perspective: https://aif360.mybluemix.net/
- [R] What are some of the best research papers to look into for ML Bias
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.
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Acts of RVLT Round 1 - Public discourse to calibrate judgement with the CULT Family Members
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
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Goals of RVLTStreetBets
Support team RVLTing, improve fairness etc.
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Acts of RVLT Idea Collection
(I created a very basic skeleton / draft for this in https://github.com/michael-spengler/fairness)
What are some alternatives?
When comparing AIF360 and fairness you can also consider the following projects:
fairlearn - A Python package to assess and improve fairness of machine learning models.
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]
AIX360 - Interpretability and explainability of data and machine learning models
interpret - Fit interpretable models. Explain blackbox machine learning.
thinc - 🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
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.
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.
seldon-core - An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Jenkins - Jenkins automation server
EthicML - Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency