probabilistic-learning / abdaLinks
Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19
☆20Updated 7 years ago
Alternatives and similar repositories for abda
Users that are interested in abda are comparing it to the libraries listed below
Sorting:
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 5 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- Code for Deep Structured Mixtures of Gaussian Processes (DSMGPs)☆11Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 6 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆71Updated last year
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 months ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains☆16Updated 7 years ago
- ☆53Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- The Python PSDD Package☆19Updated 6 months ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Probabilistic Circuits from the Juice library☆106Updated last year
- Continual Gaussian Processes☆31Updated 2 years ago
- Sum-Product Network learning routines in python☆27Updated 10 years ago
- ☆15Updated 2 years ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆13Updated 2 years ago
- Automated Scalable Bayesian Inference☆131Updated 4 years ago
- ☆172Updated last year
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆43Updated 3 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆39Updated 4 years ago
- ☆26Updated 5 years ago