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Inference in Bayesian Belief Networks using Probability Propagation in Trees of Clusters (PPTC) and Gibbs sampling

Scribe Py ⭐ 36

Regulatory networks with Direct Information in python

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

Causal Deconvolution Of Networks ⭐ 18

Causal Deconvolution of Networks by Algorithmic Generative Models

Awesome Neural Logic ⭐ 17

Awesome Neural Logic and Causality: MLN, NLRL, NLM, etc. 因果推断，神经逻辑，强人工智能逻辑推理前沿领域。

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