vicariousinc / PGMaxLinks
Loopy belief propagation for factor graphs on discrete variables, in JAX!
☆65Updated last year
Alternatives and similar repositories for PGMax
Users that are interested in PGMax are comparing it to the libraries listed below
Sorting:
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆102Updated 2 years ago
- Tools for JAX☆49Updated last month
- Inference Combinators in JAX☆52Updated 7 months ago
- ☆107Updated last year
- Loopy belief propagation for factor graphs on discrete variables in JAX☆163Updated last year
- Pytrees + dataclasses ❤️☆69Updated 7 months ago
- ☆80Updated 4 years ago
- Exponential families for JAX☆75Updated last month
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- A generic interface for linear algebra backends☆75Updated last month
- Composable kernels for scikit-learn implemented in JAX.☆45Updated 5 years ago
- Jax SSM Library☆48Updated 3 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆42Updated 2 years ago
- Documentation:☆125Updated 2 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Inference on non-linear dynamical systems written in JAX☆11Updated 5 years ago
- ☆53Updated 2 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated last year
- Evaluation Framework for Probabilistic Programming Languages☆103Updated last year
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Updated 5 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago