trueskill
Prophet
trueskill | Prophet | |
---|---|---|
1 | 221 | |
735 | 17,767 | |
- | 0.6% | |
1.4 | 6.2 | |
8 months ago | 3 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | MIT License |
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.
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.
Prophet
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Moirai: A Time Series Foundation Model for Universal Forecasting
https://facebook.github.io/prophet/
"Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well."
- prophet: NEW Data - star count:17116.0
- prophet: NEW Data - star count:17082.0
- Facebook Prophet: library for generating forecasts from any time series data
- prophet: NEW Data - star count:16196.0
- prophet: NEW Data - star count:15889.0
What are some alternatives?
openskill.py - Multiplayer Rating System. No Friction.
tensorflow - An Open Source Machine Learning Framework for Everyone
pyro - Deep universal probabilistic programming with Python and PyTorch
darts - A python library for user-friendly forecasting and anomaly detection on time series.
Surprise - A Python scikit for building and analyzing recommender systems
scikit-learn - scikit-learn: machine learning in Python
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.
xgboost - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
greykite - A flexible, intuitive and fast forecasting library
Pylearn2 - Warning: This project does not have any current developer. See bellow.
MLflow - Open source platform for the machine learning lifecycle