trueskill VS srez

Compare trueskill vs srez and see what are their differences.

trueskill

An implementation of the TrueSkill rating system for Python (by sublee)

srez

Image super-resolution through deep learning (by david-gpu)
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trueskill srez
1 1
735 5,288
- -
1.4 0.0
8 months ago over 6 years ago
Python Python
GNU General Public License v3.0 or later MIT License
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.

trueskill

Posts with mentions or reviews of trueskill. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-30.

srez

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

What are some alternatives?

When comparing trueskill and srez you can also consider the following projects:

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

Keras - Deep Learning for humans

Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

scikit-learn - scikit-learn: machine learning in Python

Surprise - A Python scikit for building and analyzing recommender systems

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

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.

TFLearn - Deep learning library featuring a higher-level API for TensorFlow.

Pylearn2 - Warning: This project does not have any current developer. See bellow.