A structured list of resources about Sum-Product Networks (SPNs)
☆253Jan 5, 2021Updated 5 years ago
Alternatives and similar repositories for awesome-spn
Users that are interested in awesome-spn are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆314Apr 14, 2026Updated 6 months ago
- Sum-Product Network learning routines in python☆27Jun 10, 2015Updated 11 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Feb 6, 2024Updated 2 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16May 12, 2018Updated 8 years ago
- Library for learning and inference with Sum-product Networks☆23Feb 20, 2020Updated 6 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆38Jun 7, 2020Updated 6 years ago
- ☆54Aug 22, 2023Updated 3 years ago
- Implementation of Bayesian Sum-Product Networks☆13May 19, 2020Updated 6 years ago
- Core files of SPNz☆16Oct 17, 2017Updated 9 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Jul 15, 2019Updated 7 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Sep 4, 2025Updated last year
- Implementation of Sum-Product Attend-Infer-Repeat☆31May 21, 2020Updated 6 years ago
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Nov 21, 2018Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Probabilistic Circuits from the Juice library☆107Jun 10, 2024Updated 2 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated 2 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Jan 26, 2026Updated 8 months ago
- Sum-product networks in Julia.☆36Dec 13, 2022Updated 3 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 6 years ago
- A free, open-source inference and learning library for Sum-Product Networks (SPN)☆25Jan 16, 2019Updated 7 years ago
- The Python PSDD Package☆18Jul 20, 2025Updated last year
- Logic Circuits from the Juice library☆52Jun 15, 2024Updated 2 years ago
- Generative Forests in Python☆35Jul 6, 2023Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆15Jan 15, 2019Updated 7 years ago
- Logistic Circuits☆35Jul 10, 2019Updated 7 years ago
- ☆11May 27, 2022Updated 4 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 4 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Oct 26, 2021Updated 4 years ago
- Probabilistic programming system for fast and exact symbolic inference☆86Apr 12, 2026Updated 6 months ago
- Expectation Particle Belief Propagation code☆13Oct 8, 2018Updated 8 years ago
- Implementation of DeepDB: Learn from Data, not from Queries!☆107Dec 8, 2022Updated 3 years ago
- ☆11Oct 6, 2017Updated 9 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆26Jun 7, 2018Updated 8 years ago
- ☆24Jun 12, 2023Updated 3 years ago
- A PyTorch implementation of visual interaction networks☆12Jul 1, 2019Updated 7 years ago
- Optimal approximate sampling from discrete probability distributions☆19Mar 9, 2021Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Jun 17, 2024Updated 2 years ago
- Experiments from the article "Tensorial Mixture Models"☆24Apr 4, 2018Updated 8 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Aug 30, 2016Updated 10 years ago