abcvoting VS yacs

Compare abcvoting vs yacs and see what are their differences.

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abcvoting yacs
1 1
31 1,240
- -
6.9 0.0
10 days ago about 2 years ago
Python Python
MIT License Apache License 2.0
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.

abcvoting

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

yacs

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

What are some alternatives?

When comparing abcvoting and yacs you can also consider the following projects:

tournesol - Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3

awesome-experimental-standards-deep-learning - Repository collecting resources and best practices to improve experimental rigour in deep learning research.

helios-server - Helios server

habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.

elsim - Election Simulator 3000: Simulates a variety of elections and voting methods

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

RAASNet - Open-Source Ransomware As A Service for Linux, MacOS and Windows [GET https://api.github.com/repos/leonv024/RAASNet: 403 - Repository access blocked]

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.