cambridge-mlg / EinsumNetworksLinks
☆53Updated 2 years ago
Alternatives and similar repositories for EinsumNetworks
Users that are interested in EinsumNetworks are comparing it to the libraries listed below
Sorting:
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated last year
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- ☆15Updated 7 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- ☆80Updated 4 years ago
- A Python Library for Deep Probabilistic Modeling☆62Updated last year
- The Python PSDD Package☆19Updated 5 months ago
- ☆172Updated last year
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 6 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆23Updated 2 years ago
- Generative Forests in Python☆35Updated 2 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Updated 8 months ago
- Generic PyTorch implementation of einsum that supports different semirings☆51Updated last month
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated 2 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆131Updated last month
- ☆50Updated 5 years ago
- ☆18Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆306Updated this week
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- Monotone operator equilibrium networks☆54Updated 5 years ago
- Python implementation of smooth optimal transport.☆61Updated 4 years ago
- ☆22Updated 5 years ago