april-tools / cirkitLinks
a python framework to build, learn and reason about probabilistic circuits and tensor networks
☆115Updated 3 weeks ago
Alternatives and similar repositories for cirkit
Users that are interested in cirkit are comparing it to the libraries listed below
Sorting:
- ☆52Updated last year
- Scalable training and inference for Probabilistic Circuits☆72Updated 3 weeks ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- A Python Library for Deep Probabilistic Modeling☆61Updated 9 months ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆23Updated 3 months ago
- An implementation of EinsumNetworks in PyTorch.☆22Updated 2 months ago
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 9 months ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆20Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Squared Non-monotonic Probabilistic Circuits☆22Updated 6 months ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆302Updated last month
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆51Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆154Updated 9 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆136Updated 2 months ago
- Python package for Sentential Decision Diagrams (SDD)☆63Updated 5 months ago
- ☆19Updated 2 years ago
- Repository of PIXAR, a Pixel-based Auto-Regressive Language Model☆11Updated 9 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆87Updated 3 years ago
- First-order knowledge compilation for lifted probabilistic inference☆11Updated 8 years ago
- Agustinus' very opiniated publication-ready plotting library☆67Updated 3 months ago
- Sketched matrix decompositions for PyTorch☆70Updated last week
- ☆18Updated 3 months ago
- The Python PSDD Package☆17Updated 3 weeks ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- Folklore facts on probability distribution learning, testing, and whatever-ing☆263Updated 5 months ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago