Probabilistic Circuits from the Juice library
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Updated
Apr 21, 2024 - Julia
Probabilistic Circuits from the Juice library
A Python Library for Deep Probabilistic Modeling
How to Turn Your Knowledge Graph Embeddings into Generative Models
PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021
🎲 A Kotlin DSL for probabilistic programming.
Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)
Probabilistic Circuits in Julia
Barebone slides introducing sum-product networks.
Undergraduate honours project exploring learning Gaussian Mixture Models with negative components.
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