arranger1044 / probabilistic-circuitsLinks
A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
☆49Updated last year
Alternatives and similar repositories for probabilistic-circuits
Users that are interested in probabilistic-circuits are comparing it to the libraries listed below
Sorting:
- ☆52Updated last year
- Probabilistic Circuits from the Juice library☆106Updated last year
- ☆15Updated 6 years ago
- Probabilistic programming system for fast and exact symbolic inference☆81Updated last year
- Python package for Sentential Decision Diagrams (SDD)☆63Updated 5 months ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 9 months ago
- Generative Forests in Python☆35Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 6 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- A Python Library for Deep Probabilistic Modeling☆61Updated 9 months ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- The Python PSDD Package☆17Updated 2 weeks ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 9 months ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Repository of models in Pyro☆29Updated last year
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated 2 years ago
- Logistic Circuits☆36Updated 6 years ago
- ☆80Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Scalable training and inference for Probabilistic Circuits☆70Updated 2 weeks ago
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 3 years ago
- Functional tensors for probabilistic programming☆242Updated last year
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆301Updated last month