RenatoGeh / gospn
A free, open-source inference and learning library for Sum-Product Networks (SPN)
☆24Updated 6 years ago
Alternatives and similar repositories for gospn
Users that are interested in gospn are comparing it to the libraries listed below
Sorting:
- Sum-Product Network learning routines in python☆27Updated 9 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 4 years ago
- Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"☆8Updated 7 years ago
- ☆15Updated 6 years ago
- Repository of models in Pyro☆29Updated 9 months ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- Posterior Server☆15Updated 8 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Dependent multinomials made easy: stick-breaking with the Pólya-gamma augmentation☆61Updated 4 years ago
- ☆52Updated last year
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 2 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 7 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 5 years ago
- [ICML'18] Scalable Gaussian Processes with Grid-Structured Eigenfunctions☆21Updated 2 years ago
- Dirichlet Process Mixture Models in Julia☆14Updated 8 years ago
- Generative Forests in Python☆36Updated last year
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆68Updated 10 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- gpbo☆25Updated 4 years ago