pronobis / libspn-kerasLinks
Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
☆48Updated 4 years ago
Alternatives and similar repositories for libspn-keras
Users that are interested in libspn-keras are comparing it to the libraries listed below
Sorting:
- Repository of models in Pyro☆29Updated 11 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆50Updated last year
- ☆52Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Updated 5 years ago
- Generative Forests in Python☆35Updated last year
- Implementation of Bayesian Sum-Product Networks☆13Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- ☆15Updated 6 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 5 years ago
- Code for "On the Expressiveness of Approximate Inference in Bayesian Neural Networks"☆13Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆67Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Python implementation of GLN in different frameworks☆98Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- ☆49Updated 4 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- ☆59Updated 6 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆21Updated 6 years ago
- Sum-Product Network learning routines in python☆27Updated 10 years ago