Causact
causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Pgmpy | 2,551 |  | 6 | 26 | 3 months ago | 24 | October 16, 2023 | 262 | mit | Python |
| Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks. | ||||||||||
| Bnlearn | 406 |  | 4 | 5 months ago | 73 | November 15, 2023 | 9 | other | Jupyter Notebook | |
| Python library for learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods. | ||||||||||
| D Vae | 64 | 4 years ago | 3 | mit | Python | |||||
| D-VAE: A Variational Autoencoder for Directed Acyclic Graphs, NeurIPS 2019 | ||||||||||
| Causact | 42 | 5 months ago | 8 | September 05, 2023 | 9 | other | R | |||
| causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output. | ||||||||||
| Bayesiannetwork | 15 | 11 years ago | Go | |||||||
| A DAG (Directed Acyclic Graph) implementation of a Bayesian Network enabling Ancestral Sampling and Gibbs Sampling on Binary Discrete Variables | ||||||||||
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