april-tools / cirkitLinks
a python framework to build, learn and reason about probabilistic circuits and tensor networks
☆123Updated 2 weeks ago
Alternatives and similar repositories for cirkit
Users that are interested in cirkit are comparing it to the libraries listed below
Sorting:
- An implementation of EinsumNetworks in PyTorch.☆23Updated 6 months ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆24Updated 6 months ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- ☆53Updated 2 years ago
- Scalable training and inference for Probabilistic Circuits☆86Updated last week
- A Python Library for Deep Probabilistic Modeling☆62Updated last year
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 4 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆22Updated 2 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆303Updated last week
- Squared Non-monotonic Probabilistic Circuits☆23Updated 10 months ago
- Code for "Bayesian Structure Learning with Generative Flow Networks"☆93Updated 3 years ago
- Loopy belief propagation for factor graphs on discrete variables in JAX☆158Updated last year
- Sketched linear operations for PyTorch☆97Updated last month
- How to Turn Your Knowledge Graph Embeddings into Generative Models☆53Updated last year
- CausalPFN: Amortized Causal Effect Estimation via In-Context Learning☆63Updated 2 weeks ago
- IVON optimizer for neural networks based on variational learning.☆72Updated last year
- ☆19Updated 6 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆59Updated 3 weeks ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- Mutual information estimators and benchmark☆54Updated 2 months ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆146Updated last week
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Algorithms for computations on random manifolds made easier☆94Updated last year