trueskill
Pylearn2
| trueskill | Pylearn2 | |
|---|---|---|
| 1 | 1 | |
| 735 | 2,752 | |
| - | 0.0% | |
| 1.4 | 0.0 | |
| 8 months ago | over 2 years ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 1-Clause 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.
Pylearn2
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iNeural : Update (8.12.21)
It is developed by taking inspiration from libraries such as iNeural, FANN, pylearn2, EBLearn, Torch7. Written mostly in C++, iNeural also leverages the power of Python. The biggest reason for its development is that it needs very few dependencies. For this reason, it is expected to be suitable for working in systems with limited system requirements.
What are some alternatives?
openskill.py - Multiplayer Rating System. No Friction.
Keras - Deep Learning for humans
pyro - Deep universal probabilistic programming with Python and PyTorch
SciKit-Learn Laboratory - SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tensorflow - An Open Source Machine Learning Framework for Everyone
Surprise - A Python scikit for building and analyzing recommender systems
PyBrain
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.
scikit-learn - scikit-learn: machine learning in Python
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