UCLA-StarAI / SparsePC
☆12Updated last year
Alternatives and similar repositories for SparsePC:
Users that are interested in SparsePC are comparing it to the libraries listed below
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 5 months ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆64Updated 5 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Scalable training and inference for Probabilistic Circuits☆56Updated last month
- Probabilistic Circuits from the Juice library☆106Updated 9 months ago
- ☆52Updated last year
- Implementation of Bayesian Sum-Product Networks☆13Updated 4 years ago
- Logistic Circuits☆35Updated 5 years ago
- Neural Fixed-Point Acceleration for Convex Optimization☆29Updated 2 years ago
- Bayesian model reduction for probabilistic machine learning☆10Updated last week
- ☆15Updated 6 years ago
- ☆19Updated this week
- ☆19Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Library for causal and probabilistic inference in Julia☆11Updated last month
- Generative Forests in Python☆34Updated last year
- Probabilistic Circuits in Julia☆10Updated last year
- ☆49Updated 4 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- A lightweight didactic library of kernel methods using the back-end JAX.☆12Updated 2 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 4 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- The Python PSDD Package☆16Updated 6 months ago
- Scalable Neural-Probabilistic Answer Set Programming☆17Updated 9 months ago
- An implementation of EinsumNetworks in PyTorch.☆21Updated 2 months ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆12Updated 2 years ago