trappmartin / BayesianSumProductNetworksLinks
Implementation of Bayesian Sum-Product Networks
☆13Updated 5 years ago
Alternatives and similar repositories for BayesianSumProductNetworks
Users that are interested in BayesianSumProductNetworks are comparing it to the libraries listed below
Sorting:
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Probabilistic Circuits from the Juice library☆106Updated last year
- Sum-product networks in Julia.☆37Updated 2 years ago
- Probabilistic programming system for fast and exact symbolic inference☆80Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 6 years ago
- ☆52Updated last year
- Probabilistic Circuits in Julia☆10Updated last year
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Logic Circuits from the Juice library☆49Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 3 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- ☆15Updated 6 years ago
- The Juice package for circuits in artificial intelligence, both logic and probabilistic☆12Updated 3 years ago
- Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)☆33Updated 4 years ago
- Library for causal and probabilistic inference in Julia☆11Updated 5 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 4 years ago
- Generative Forests in Python☆35Updated 2 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers☆28Updated 7 months ago
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- Stochastic Gradient Markov Chain Monte Carlo and Optimisation☆17Updated 8 years ago
- Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning Workshop 2019)☆34Updated 2 years ago
- ☆80Updated 3 years ago
- Posterior Server☆15Updated 8 years ago
- ☆28Updated 3 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 6 years ago