cambridge-mlg / EinsumNetworks
☆52Updated last year
Alternatives and similar repositories for EinsumNetworks:
Users that are interested in EinsumNetworks are comparing it to the libraries listed below
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 4 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆17Updated 3 years ago
- Generative Forests in Python☆36Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆39Updated 4 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated 6 months ago
- A collection of commonly used datasets as benchmarks for density estimation☆24Updated 5 years ago
- An implementation of EinsumNetworks in PyTorch.☆21Updated 3 months ago
- ☆80Updated 3 years ago
- ☆49Updated 4 years ago
- Probabilistic Circuits from the Juice library☆106Updated 10 months ago
- Implementation of Bayesian Sum-Product Networks☆13Updated 4 years ago
- ☆53Updated 8 months ago
- ☆15Updated 6 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 6 months ago
- PAC-Bayes with Backprop - Tighter risk certificates for neural networks☆24Updated 3 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Code accompanying VarGrad: A Low-Variance Gradient Estimator for Variational Inference☆12Updated 4 years ago
- Scalable training and inference for Probabilistic Circuits☆57Updated 2 months ago
- Source code for my PhD thesis: Backpropagation Beyond the Gradient☆20Updated 2 years ago
- PyTorch implementation for "HyperSPNs: Compact and Expressive Probabilistic Circuits", NeurIPS 2021☆13Updated 3 years ago
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆19Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 2 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- Logistic Circuits☆35Updated 5 years ago
- CausalFlows: A library for Causal Normalizing Flows in Pytorch☆21Updated 3 weeks ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago