bayesianbrad / PyLFPPLLinks
A Low-level first-order probabilistic programming language, with in built translation constraints for automatic model checking. A flexible PPL that can work with any inference algorithms that work with programs containing measure-zero discontinuities
☆14Updated 6 years ago
Alternatives and similar repositories for PyLFPPL
Users that are interested in PyLFPPL are comparing it to the libraries listed below
Sorting:
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 6 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Jax-based MaxEnt☆17Updated 6 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆29Updated 7 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆46Updated 7 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Updated 8 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 8 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Autoregressive Energy Machines☆78Updated 3 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Amortized Monte Carlo Integration☆15Updated 5 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 6 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- ☆19Updated 3 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 7 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- ☆12Updated 2 years ago
- ☆16Updated 6 months ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 8 years ago