Fast, flexible and easy to use probabilistic modelling in Python.
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Mar 6, 2025 - Python
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probabilistic-graphical-models
Here are 81 public repositories matching this topic...
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks
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Apr 24, 2024 - Python
Thermodynamic Hypergraphical Model Library in JAX
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Nov 16, 2025 - Python
🌲 Stanford CS 228 - Probabilistic Graphical Models
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Aug 30, 2024 - Python
PyHGF: A neural network library for predictive coding
reinforcement-learning neural-networks bayesian-inference probabilistic-graphical-models bayesian-filter belief-propagation computational-psychiatry state-space-model jax graph-neural-networks predictive-coding active-inference hierarchical-gaussian-filter
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Dec 3, 2025 - Python
scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics
machine-learning pytorch generative-model probabilistic-graphical-models variational-autoencoder single-cell-rna-seq denoising-algorithm cite-seq crispr-screen
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Aug 17, 2024 - Python
A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch
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Aug 7, 2020 - Python
Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)
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Jul 30, 2022 - Python
MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)
deep-learning tensorflow probabilistic-graphical-models medical-image-registration groupwise-registration
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Jul 4, 2024 - Python
Orgainzed Digital Intelligent Network (O.D.I.N)
machine-learning natural-language-processing deep-neural-networks deep-learning graph-algorithms image-processing bayesian-methods generative-model semi-supervised-learning probabilistic-programming text-processing probabilistic-graphical-models speech-processing variational-autoencoder variational-autoencoders disentangled-representations factor-vae disentanglement-learning
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Oct 30, 2022 - Python
A collection of commonly used datasets as benchmarks for density estimation in MaLe
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Jul 15, 2019 - Python
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
machine-learning sparse-coding variational-inference probabilistic-graphical-models feature-learning
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Oct 17, 2019 - Python
A python package for finding causal functional connectivity from neural time series observations.
python timeseries graph probabilistic-graphical-models causal-inference causal-models causal-discovery functional-connectome
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May 21, 2025 - Python
[ICML 2024] Probabilistic Conceptual Explainers (PACE): Trustworthy Conceptual Explanations for Vision Foundation Models
graphical-models probabilistic-graphical-models interpretability bayesian-deep-learning vision-transformer foundation-models large-language-models llm multimodal-large-language-models large-multimodal-models
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Sep 25, 2025 - Python
Bayesian nonparametric models for python
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Sep 11, 2018 - Python
A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf
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Jun 19, 2019 - Python
⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.
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Sep 1, 2024 - Python
Checking D-separations and I-equivalence in Bayesian Networks.
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Feb 11, 2017 - Python
Implementation of the Paper "Entity Linking in Web Tables with Multiple Linked Knowledge Bases"
python nlp knowledge-base markov-decision-processes probabilistic-graphical-models random-walk entity-linking
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Oct 27, 2017 - Python
Image denoising using Markov random fields.
icm bayesian-inference probabilistic-graphical-models gibbs-sampling image-denoising potts-model undirected-graph metropolis-hastings-algorithm markov-random-fields
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Feb 20, 2020 - Python
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