AlCorreia / cm-tpmLinks
Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models
☆11Updated last year
Alternatives and similar repositories for cm-tpm
Users that are interested in cm-tpm are comparing it to the libraries listed below
Sorting:
- ☆53Updated 2 years ago
- An implementation of EinsumNetworks in PyTorch.☆23Updated 6 months ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 4 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Code for Knowledge-Adaptation Priors based on the NeurIPS 2021 paper by Khan and Swaroop.☆16Updated 3 years ago
- Lossless compression using Probabilistic Circuits☆16Updated 3 years ago
- Generative Forests in Python☆35Updated 2 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆123Updated 2 weeks ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆208Updated last year
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 5 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 4 years ago
- The Python PSDD Package☆19Updated 4 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated 2 years ago
- A Python Library for Deep Probabilistic Modeling☆62Updated last year
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- ☆54Updated last year
- Codebase for VAEL: Bridging Variational Autoencoders and Probabilistic Logic Programming☆22Updated 2 years ago
- Python implementation of smooth optimal transport.☆60Updated 4 years ago
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆40Updated 5 years ago
- Code to minimize the Variational Contrastive Divergence (VCD)☆29Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- ☆37Updated 5 years ago
- ☆50Updated 5 years ago