breaking_cycles_in_noisy_hierarchies
trueskill
| breaking_cycles_in_noisy_hierarchies | trueskill | |
|---|---|---|
| 1 | 1 | |
| 71 | 737 | |
| - | - | |
| 10.0 | 1.4 | |
| over 1 year ago | 9 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
breaking_cycles_in_noisy_hierarchies
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Elo for VCS – Founder's Choice
I think that's a pretty good idea. Have you checked out the paper "Breaking Cycles in Noisy Hierarchies"? It looks pretty similar to what you're looking for and the code is open source: https://github.com/zhenv5/breaking_cycles_in_noisy_hierarchi...
trueskill
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openskill.py VS trueskill - a user suggested alternative
2 projects | 30 Jan 2022
Trueskill is used to predict winners of a game just like openskill.
What are some alternatives?
Competitive-Python - Python Algorithms Package used in competitive programming
openskill.py - Multiplayer Rating System. No Friction.
parallel-dfs-dag - A parallel implementation of DFS for Directed Acyclic Graphs (https://research.nvidia.com/publication/parallel-depth-first-search-directed-acyclic-graphs)
pyro - Deep universal probabilistic programming with Python and PyTorch
pyDag - Scheduling Big Data Workloads and Data Pipelines in the Cloud with pyDag
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
pathfinding - Pathfinding library for rust
Surprise - A Python scikit for building and analyzing recommender systems
breaking_cycles_in_noisy_hierarchi
Data Flow Facilitator for Machine Learning (dffml) - The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.
tensorflow - An Open Source Machine Learning Framework for Everyone
Pylearn2 - Warning: This project does not have any current developer. See bellow.