arranger1044 / spae
Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"
☆8Updated 7 years ago
Alternatives and similar repositories for spae
Users that are interested in spae are comparing it to the libraries listed below
Sorting:
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 7 years ago
- Sum-Product Network learning routines in python☆27Updated 9 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 4 years ago
- ☆15Updated 6 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆52Updated last year
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Online structure learning of sum product networks☆9Updated 8 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Probabilistic Circuits in Julia☆10Updated last year
- First-order knowledge compilation for lifted probabilistic inference☆11Updated 7 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 7 months ago
- Tensorflow code for "Hierarchical Decompositional Mixtures of Variational Autoencoders" (ICML'19)☆12Updated 4 years ago
- Nonlinear Information Bottleneck☆54Updated 2 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 5 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- A free, open-source inference and learning library for Sum-Product Networks (SPN)☆24Updated 6 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆24Updated this week
- The Python PSDD Package☆16Updated 8 months ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- Counterexample-Guided Learning of Monotonic Networks☆18Updated 2 years ago
- Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018☆26Updated 7 years ago