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Top 4 bayesian-network Open-Source Projects
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dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
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pgmpy
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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causalnex
A Python library that helps data scientists to infer causation rather than observing correlation.
I'm a fan of the Do Why library out of Microsoft. Even as a novice in the field of causal modeling it can get you up and running by estimating the causal graph based on your data. https://github.com/py-why/dowhy
is used to capture the power of a fully-trained deep net of infinite width.
https://openreview.net/pdf?id=rkl4aESeUH, https://github.com/google/neural-tangents
> It has long been known that a single-layer fully-connected neural network with an i.i.d. prior over its parameters is equivalent to a Gaussian process (GP), in the limit of infinite network width.
https://arxiv.org/abs/1711.00165
And of course, one needs to look back at SVMs applying a kernel function and separating with a line, which looks a lot like an ANN with a single hidden layer followed by a linear mapping.
https://stats.stackexchange.com/questions/238635/kernel-meth...
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
bayesian-networks related posts
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Causality for Machine Learning
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Acceptable data formats for Predictive Stepwise Logistic Regression
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Do you use any specific framework when it comes to causal inference?
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Causal Explanations Considered Harmful: On the logical fallacy of causal projection
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[Q] What are some of the most useful topics/classes in philosophy for Statistics?
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[R] DoWhy-GCM: An extension of DoWhy for causal inference in graphical causal models
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How many of you still buy and read textbooks after your degree?
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Index
What are some of the best open-source bayesian-network projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | dowhy | 6,757 |
| 2 | pgmpy | 2,621 |
| 3 | neural-tangents | 2,225 |
| 4 | causalnex | 2,147 |
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