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Top 11 Python bayesian-inference Projects
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Project mention: Pyro: The Universal, Probablistic Programming Language | news.ycombinator.com | 2023-07-28
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causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
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numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
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I’m trying to learn statistics. I’m up to implementing regressions in python using sci-kit learn.
I was playing around with Bayesian modelling last night with https://bambinos.github.io/bambi/ But I’m not really sure how to interpret the outputs.
Always open to reading about learning resources/books/videos/courses from others.
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Project mention: 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification | /r/Bayes | 2023-01-11
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Sonar
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Another suggestion would be to consider using a more modern package. Cobaya (https://github.com/CobayaSampler/cobaya) is one such package that would do what you want, but is much more modern and user friendly than MontePython.
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Python bayesian-inference related posts
- Ask HN: What Are You Learning?
- What do actual ML engineers think of ChatGPT?
- how can I build a regression model which is penalised for moving away from an assumed set of coefficients?
- Problem installing Monte Python
- PYMC Release: v5.0.0
- An Astronomer's Introduction to NumPyro
- How many of you still buy and read textbooks after your degree?
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A note from our sponsor - Sonar
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Index
What are some of the best open-source bayesian-inference projects in Python? This list will help you:
Project | Stars | |
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1 | pyro | 8,134 |
2 | PyMC | 7,783 |
3 | causalnex | 1,943 |
4 | numpyro | 1,881 |
5 | awesome-normalizing-flows | 1,160 |
6 | bambi | 939 |
7 | fortuna | 723 |
8 | cobaya | 102 |
9 | gammy | 71 |
10 | Gumbi | 47 |
11 | skbel | 19 |