robertness / pyro_agentsLinks
Agent models implemented with Pyro
☆11Updated 2 years ago
Alternatives and similar repositories for pyro_agents
Users that are interested in pyro_agents are comparing it to the libraries listed below
Sorting:
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated 10 months ago
- Composable kernels for scikit-learn implemented in JAX.☆44Updated 4 years ago
- Evaluation Framework for Probabilistic Programming Languages☆101Updated last year
- Jax SSM Library☆49Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago
- A Visual Exploration of Gaussian Processes☆103Updated 2 years ago
- Variational inference for hierarchical dynamical systems☆48Updated last year
- Generative Forests in Python☆35Updated 2 years ago
- Repository of models in Pyro☆30Updated last year
- A toolbox for inference of mixture models☆16Updated 2 years ago
- Bayesian inference for a logistic regression model in various languages☆42Updated 2 years ago
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- The Union of Intersections Framework in Python☆14Updated last week
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆49Updated last year
- AA120Q Course Materials☆29Updated 7 months ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 5 years ago
- Python implementation of Bayesian Program Learning tools (with PyTorch)☆74Updated 3 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated last year
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Bayesian Bandits☆68Updated last year
- Tools for the symbolic manipulation of PyMC models, Theano, and TensorFlow graphs.☆62Updated last year
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- ☆15Updated 6 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago