braun-steven / simple-einetLinks
An implementation of EinsumNetworks in PyTorch.
☆22Updated 3 months ago
Alternatives and similar repositories for simple-einet
Users that are interested in simple-einet are comparing it to the libraries listed below
Sorting:
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated 11 months ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- a python framework to build, learn and reason about probabilistic circuits and tensor networks☆124Updated 3 weeks ago
- ☆53Updated 2 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆206Updated last year
- Squared Non-monotonic Probabilistic Circuits☆23Updated 8 months ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- This repository holds the code for the NeurIPS 2022 paper, Semantic Probabilistic Layers☆30Updated last year
- A Python Library for Deep Probabilistic Modeling☆61Updated 10 months ago
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Scalable training and inference for Probabilistic Circuits☆75Updated 2 months ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- Algorithms for computations on random manifolds made easier☆92Updated last year
- Bayesian model reduction for probabilistic machine learning☆11Updated 2 months ago
- Sketched matrix decompositions for PyTorch☆70Updated last month
- Laplace Redux -- Effortless Bayesian Deep Learning☆42Updated 3 months ago
- Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks☆303Updated last week
- Bayesian inference with Python and Jax.☆34Updated 2 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆23Updated 4 months ago
- ☆15Updated 3 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Discrete Normalizing Flows implemented in PyTorch☆113Updated 3 years ago
- IVON optimizer for neural networks based on variational learning.☆72Updated 10 months ago
- ☆170Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago