arranger1044 / spyn
Sum-Product Network learning routines in python
☆26Updated 9 years ago
Alternatives and similar repositories for spyn:
Users that are interested in spyn are comparing it to the libraries listed below
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 6 years ago
- Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"☆8Updated 7 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- Generative Forests in Python☆34Updated last year
- Implementation of Bayesian Sum-Product Networks☆12Updated 4 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- ☆50Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆47Updated 3 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- ☆15Updated 6 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- A structured list of resources about Sum-Product Networks (SPNs)☆252Updated 4 years ago
- Library for learning and inference with Sum-product Networks☆23Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆64Updated 5 years ago
- Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"☆70Updated 8 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Sum-Product Networks in Python☆11Updated 10 years ago
- ☆49Updated 6 months ago
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆10Updated 3 years ago
- Fast Gradient Boosting Decision Trees with Bit-Level Data Structures☆16Updated 2 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆39Updated 6 years ago
- Repository of models in Pyro☆29Updated 6 months ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 5 years ago