An implementation of EinsumNetworks in PyTorch.
☆23Jan 26, 2026Updated last month
Alternatives and similar repositories for simple-einet
Users that are interested in simple-einet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆53Aug 22, 2023Updated 2 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Oct 12, 2024Updated last year
- Scalable training and inference for Probabilistic Circuits☆95Mar 15, 2026Updated last week
- The Pix2Code framework: generalizable, interpretable and revisable visual concept learning☆14Oct 7, 2025Updated 5 months ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆310Mar 14, 2026Updated last week
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Oct 26, 2021Updated 4 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 3 years ago
- Squared Non-monotonic Probabilistic Circuits☆25Jan 16, 2025Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆23Dec 16, 2019Updated 6 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆31Apr 30, 2025Updated 10 months ago
- First-order knowledge compilation for lifted probabilistic inference☆11Jun 14, 2017Updated 8 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Jun 7, 2020Updated 5 years ago
- Repository of PIXAR, a Pixel-based Auto-Regressive Language Model☆18Sep 15, 2025Updated 6 months ago
- Python package for Sentential Decision Diagrams (SDD)☆73Dec 15, 2025Updated 3 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Feb 6, 2024Updated 2 years ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 5 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16May 12, 2018Updated 7 years ago
- PyPSDD porting to Python 3 + PyTorch equivalent tree construction.☆16Jun 7, 2023Updated 2 years ago
- Zero-suppressed Sentential Decision Diagrams☆12Aug 23, 2021Updated 4 years ago
- Sparse Circuits on the GPU (ICLR2025)☆21Updated this week
- Probabilistic Circuits from the Juice library☆107Jun 10, 2024Updated last year
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆32Dec 4, 2023Updated 2 years ago
- Code for our paper 'Learning from Multiple Annotator Noisy Labels via Sample-wise Label Fusion' published on ECCV 2022☆11Jul 27, 2022Updated 3 years ago
- [ICCV 2021] Multimodal Knowledge Expansion☆10Aug 28, 2021Updated 4 years ago
- ☆19Jan 17, 2023Updated 3 years ago
- We integrate discrete diffusion models with neurosymbolic predictors for scalable and calibrated learning and reasoning☆59Dec 3, 2025Updated 3 months ago
- Repository for Variational Linearized Laplace Approximation for Bayesian Deep Learning☆12Sep 6, 2024Updated last year
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆55Jul 10, 2024Updated last year
- Sum-Product Network learning routines in python☆27Jun 10, 2015Updated 10 years ago
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆134Mar 9, 2026Updated 2 weeks ago
- Leveraging Recursive Gumbel-Max Trick for Approximate Inference in Combinatorial Spaces, NeurIPS 2021☆14Dec 11, 2021Updated 4 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆254Jan 5, 2021Updated 5 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Sep 4, 2025Updated 6 months ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆23Mar 4, 2024Updated 2 years ago
- Library for learning and inference with Sum-product Networks☆23Feb 20, 2020Updated 6 years ago
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆23Jan 27, 2025Updated last year
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Aug 15, 2023Updated 2 years ago
- A library for reproducible deep learning.☆85Nov 25, 2025Updated 3 months ago
- Generative Forests in Python☆35Jul 6, 2023Updated 2 years ago