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:
- ☆53Updated 2 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- ☆15Updated 6 years ago
- A Python Library for Deep Probabilistic Modeling☆61Updated 10 months ago
- Evaluation Framework for Probabilistic Programming Languages☆102Updated last year
- Probabilistic programming system for fast and exact symbolic inference☆82Updated last year
- Generative Forests in Python☆35Updated 2 years ago
- The Python PSDD Package☆19Updated last month
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 11 months ago
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 6 years ago
- Python package for Sentential Decision Diagrams (SDD)☆66Updated 6 months ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated last week
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 11 months ago
- Inference Combinators in JAX☆50Updated 4 months ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 3 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆21Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- ☆100Updated 3 years ago
- Neural network verification in JAX☆145Updated 2 years ago
- Functional tensors for probabilistic programming☆242Updated 2 years ago
- ☆50Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago