pyro
Deep universal probabilistic programming with Python and PyTorch (by pyro-ppl)
trueskill
An implementation of the TrueSkill rating system for Python (by sublee)
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| pyro | trueskill | |
|---|---|---|
| 9 | 1 | |
| 8,356 | 734 | |
| 0.9% | - | |
| 8.4 | 1.4 | |
| 6 days ago | 8 months ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
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.
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.
pyro
Posts with mentions or reviews of pyro.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-11.
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Show HN: Designing Bridges with PyTorch
Mostly I use pytorch for statistical modeling https://pyro.ai . Under the hood that package uses a lot of Monte Carlo integration and variational methods (i.e. integration by optimization). It does support neural nets, but probably >80% of pyro users stick to simpler hierarchical Bayesian models.
- Pyro: The Universal, Probablistic Programming Language
- The Jupyter+Git problem is now solved
- Pyro: Deep universal probabilistic programming with Python and PyTorch
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Computational Bayesian Inference Techniques
Amortized Variational Inference (Like done in pyro.ai with neural networks)
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[P] torchegranate: a PyTorch rewrite of the pomegranate library for probabilistic modeling
Can you compare this to Pyro, which is also built on top of PyTorch?
- [Q] Updated book or review paper on MCMC methods
- Is anyone here working in uncertainty estimation in neural networks?
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[D] Do you train and deploy models using just one framework or multiple frameworks at work?
Using pyod, statmodels, scikit-learn, Tensorflow and pyro.ai (that is using PyTorch as backend). I always use the same framework for training and for production.
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.
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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?
When comparing pyro and trueskill you can also consider the following projects:
PyMC - Bayesian Modeling and Probabilistic Programming in Python
openskill.py - Multiplayer Rating System. No Friction.
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
probability - Probabilistic reasoning and statistical analysis in TensorFlow
tensorflow - An Open Source Machine Learning Framework for Everyone
MindsDB - The platform for customizing AI from enterprise data
Keras - Deep Learning for humans
MLflow - Open source platform for the machine learning lifecycle