pyro-ppl / sandboxLinks
Pyro models and misc examples.
☆19Updated 4 years ago
Alternatives and similar repositories for sandbox
Users that are interested in sandbox are comparing it to the libraries listed below
Sorting:
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Evaluation Framework for Probabilistic Programming Languages☆103Updated last year
- Bayesian Regression Models in Pyro☆73Updated last year
- Code to reproduce the results of 👇☆18Updated 3 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Bayesian Bandits☆68Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Repository of models in Pyro☆30Updated last year
- Tutorials and sampling algorithm comparisons☆77Updated last week
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated last month
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Jax SSM Library☆48Updated 2 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- ☆29Updated last year
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 4 years ago
- General Latent Feature Modeling for Heterogeneous data☆50Updated last year
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Home for the computational inference reading group.☆17Updated 5 years ago
- ☆12Updated 3 years ago
- ☆30Updated 3 years ago
- Code for "Towards a learning theory of cause-effect inference" (ICML 2015).☆30Updated 5 years ago
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Estimators to perform off-policy evaluation☆13Updated last year
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago