Reverse Dependencies of pgmpy

The following projects have a declared dependency on pgmpy:

• algoai — A collection of AI algorithms
• ananke-causal — Ananke, named for the Greek primordial goddess of necessity and causality, is a python package for causal inference using the language of graphical models.
• argilla-v1 — Open-source tool for exploring, labeling, and monitoring data for NLP projects.
• BAMT — data modeling and analysis tool based on Bayesian networks
• bayesclass — A collection of Bayesian Estimators.
• bayesian-network-generator — A random bayesian network generator
• bayesiannetworkai — A package for using Bayesian Networks
• bnlearn — Python package for Causal Discovery by learning the graphical structure of Bayesian networks, parameter learning, inference and sampling methods.
• causalnex — Toolkit for causal reasoning (Bayesian Networks / Inference)
• CoBaIR — CoBaIR is a Python library for Context Based Intention Recognition
• cool-bayesian-networks — This package serves as a Bayesian Network builder
• CStrees — A Python library for CStrees.
• eliater — A high level, end-to-end causal inference workflow.
• extralit — Open-source tool for accurate & fast scientific literature data extraction with LLM and human-in-the-loop.
• fcabayesian — no summary
• FLAI-CAUSAL — Library to creat causal model and mitigate the bias.
• flowchronicle — Network flow records data miner and generator
• ganblr — Ganblr Toolbox
• geb — GEB simulates the environment, the individual behaviour of people, households and organizations - including their interactions - at small and large scale.
• gmg-auto — no summary
• graphical_models — no summary
• graphutils — utility codebase for graph-related projects
• hav — This HAV (hierarchical ABM validation) package helps you to comprehensively validate agent-based models.
• imgraph — Graph Neural Network Library Built On Top Of PyTorch and PyTorch Geometric
• pdgpy — no summary
• pycid — Causal Influence Diagram library
• pyg-nightly — Graph Neural Network Library for PyTorch
• synthcity — Synthetic data generator and evaluator!
• torch-geometric — Graph Neural Network Library for PyTorch
• tri4plads — Basic code to obtain probability distribution functions for EoL using TRI data
• uvceml — List Of ML Programs
• xgdl — Explainability Library with Geometric Deep Learning for Scientific Tasks
• y0 — Python code for causal modeling.