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Top 6 Python Bayesian Projects
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orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood. (by uber)
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InfluxDB
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lightweight_mmm
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
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judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with judgmental-adjustment).
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.
Project mention: Lightweight (Bayesian) Marketing Mix Modeling (Google Unofficial) | news.ycombinator.com | 2023-07-05
Python Bayesian related posts
- Pyro: The Universal, Probablistic Programming Language
- Lightweight (Bayesian) Marketing Mix Modeling (Google Unofficial)
- Show HN: Marketing software for solopreneurs who don't like marketing
- Pyro: Deep universal probabilistic programming with Python and PyTorch
- Computational Bayesian Inference Techniques
- [P] torchegranate: a PyTorch rewrite of the pomegranate library for probabilistic modeling
- Best computer language for stats
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A note from our sponsor - InfluxDB
www.influxdata.com | 27 Apr 2024
Index
What are some of the best open-source Bayesian projects in Python? This list will help you:
Project | Stars | |
---|---|---|
1 | pyro | 8,356 |
2 | orbit | 1,804 |
3 | arviz | 1,529 |
4 | lightweight_mmm | 785 |
5 | bayesian-neural-network-pytorch | 434 |
6 | judgyprophet | 56 |
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