openskill.py
NuPIC
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| openskill.py | NuPIC | |
|---|---|---|
| 22 | 1 | |
| 241 | 6,327 | |
| 4.1% | - | |
| 7.3 | 0.0 | |
| 6 days ago | 8 months ago | |
| Jupyter Notebook | Python | |
| MIT License | GNU Affero 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.
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.
openskill.py
- Show HN: Predict team ranks in sports and video games with openskill.py
- Predict how teams will rank in sports/video games using our rating system.
- I made a project with the ability to predict ranks of teams in a sports/video game match.
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Openskill: A patent-free alternative to TrueSkill
Linked is the Javascript library. There are also ports of this to Python, Kotlin, Lua, and Elixir.
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Predicting Overwatch Match Outcomes with 90% Accuracy
The new benchmark code can be found here.
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openskill.py VS trueskill - a user suggested alternative
2 projects | 30 Jan 2022
- openskill.py can now predict the winners of any game with 90% accuracy and faster than TrueSkill
NuPIC
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Fui diagnosticada con psicosis realmente aveces nose distinguir entre un delirio y algo paranormal ya que en mi casa suelen verse cosas raras. Alguna sugerencia?..
Echale un ojo a https://github.com/numenta/nupic creo que te va a interesar :)
What are some alternatives?
trueskill - An implementation of the TrueSkill rating system for Python
tensorflow - An Open Source Machine Learning Framework for Everyone
Prophet - Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
bodywork - ML pipeline orchestration and model deployments on Kubernetes.
karateclub - Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
TFLearn - Deep learning library featuring a higher-level API for TensorFlow.
seqeval - A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)
Keras - Deep Learning for humans
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
scikit-learn - scikit-learn: machine learning in Python