AlCorreia / cm-tpmView external linksLinks
Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
☆12Oct 12, 2024Updated last year
Alternatives and similar repositories for cm-tpm
Users that are interested in cm-tpm are comparing it to the libraries listed below
Sorting:
- An implementation of EinsumNetworks in PyTorch.☆23Jan 26, 2026Updated 3 weeks ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Jul 15, 2019Updated 6 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Dec 16, 2019Updated 6 years ago
- Adversarial Random Forests☆16Jan 13, 2026Updated last month
- A Python Library for Deep Probabilistic Modeling☆63Oct 25, 2024Updated last year
- Probabilistic Circuits in Julia☆10Dec 27, 2023Updated 2 years ago
- Repository of PIXAR, a Pixel-based Auto-Regressive Language Model☆17Sep 15, 2025Updated 5 months ago
- First-order knowledge compilation for lifted probabilistic inference☆11Jun 14, 2017Updated 8 years ago
- Squared Non-monotonic Probabilistic Circuits☆25Jan 16, 2025Updated last year
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Jun 7, 2020Updated 5 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆31Dec 4, 2023Updated 2 years ago
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆55Jul 10, 2024Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Sep 4, 2025Updated 5 months ago
- Zero-suppressed Sentential Decision Diagrams☆12Aug 23, 2021Updated 4 years ago
- Lossless compression using Probabilistic Circuits☆16Mar 10, 2022Updated 3 years ago
- PyPSDD porting to Python 3 + PyTorch equivalent tree construction.☆16Jun 7, 2023Updated 2 years ago
- Generative Forests in Python☆35Jul 6, 2023Updated 2 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Sep 8, 2022Updated 3 years ago
- Sparse Circuits on the GPU (ICLR2025)☆20Dec 25, 2025Updated last month
- A Scalable Approximate Method for Probabilistic Neurosymbolic Inference☆23Jan 27, 2025Updated last year
- Official pytorch re-implementation of "Demystifying Inter-Class Disentanglement", ICLR 2020.☆13Dec 2, 2021Updated 4 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16May 12, 2018Updated 7 years ago
- ☆19May 23, 2025Updated 8 months ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Oct 26, 2021Updated 4 years ago
- ☆19Jan 17, 2023Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Oct 11, 2021Updated 4 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Feb 6, 2024Updated 2 years ago
- Codebase for the paper: Not All Neuro-Symbolic Concepts Are Created Equal: Analysis and Mitigation of Reasoning Shortcuts☆23Mar 4, 2024Updated last year
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆30Apr 30, 2025Updated 9 months ago
- The Neuro-Symbolic Forward Reasoner☆26Jun 19, 2023Updated 2 years ago
- ☆24Jun 12, 2023Updated 2 years ago
- ☆33Oct 4, 2024Updated last year
- Official implementation of E(n)-equivariant Graph Neural Cellular Automata☆35Oct 3, 2025Updated 4 months ago
- Python package for Sentential Decision Diagrams (SDD)☆71Dec 15, 2025Updated 2 months ago
- ☆30Aug 5, 2023Updated 2 years ago
- Updated code base for GlanceNets: Interpretable, Leak-proof Concept-based models☆25Jun 28, 2023Updated 2 years ago
- Probabilistic Circuits from the Juice library☆106Jun 10, 2024Updated last year
- Python implementation of adversarial random forests for density estimation and generative modelling☆31Mar 13, 2024Updated last year
- Library for learning and inference with Sum-product Networks☆23Feb 20, 2020Updated 5 years ago