cambridge-mlg / RAT-SPNLinks
Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning
☆37Updated 5 years ago
Alternatives and similar repositories for RAT-SPN
Users that are interested in RAT-SPN are comparing it to the libraries listed below
Sorting:
- ☆53Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 6 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 7 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆171Updated last year
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- ☆15Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- ☆54Updated last year
- An implementation of EinsumNetworks in PyTorch.☆23Updated 5 months ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆40Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Updated 6 years ago