probability VS pyro

Compare probability vs pyro and see what are their differences.

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probability pyro
10 9
4,057 8,315
0.6% 0.7%
9.3 8.4
about 15 hours ago 5 days ago
Jupyter Notebook Python
Apache License 2.0 Apache License 2.0
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.

probability

Posts with mentions or reviews of probability. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-17.

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.

What are some alternatives?

When comparing probability and pyro you can also consider the following projects:

PyMC - Bayesian Modeling and Probabilistic Programming in Python

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

trueskill - An implementation of the TrueSkill rating system for Python

tensorflow - An Open Source Machine Learning Framework for Everyone

Keras - Deep Learning for humans

MLflow - Open source platform for the machine learning lifecycle

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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

LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.