pyro-ppl / pyro-modelsLinks
Repository of models in Pyro
☆29Updated 10 months ago
Alternatives and similar repositories for pyro-models
Users that are interested in pyro-models are comparing it to the libraries listed below
Sorting:
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Composable kernels for scikit-learn implemented in JAX.☆43Updated 4 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Evaluation Framework for Probabilistic Programming Languages☆100Updated last year
- Generic API for dispatch to Pyro backends.☆16Updated 3 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Inference Combinators in JAX☆49Updated 2 weeks ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 3 years ago
- ☆80Updated 3 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- ☆30Updated 3 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Pyro models and misc examples.☆19Updated 4 years ago
- ProBO: Versatile Bayesian Optimization Using Any Probabilistic Programming Language☆15Updated 5 years ago
- Python implementation of projection losses.☆26Updated 5 years ago
- PyMC3-like Interface for Pyro☆37Updated 5 years ago
- Bayesian Regression Models in Pyro☆72Updated 10 months ago
- Generative Forests in Python☆35Updated last year
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- Variational Fourier Features☆85Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Code to reproduce the results of 👇☆18Updated 2 years ago