bayesianbrad / PyLFPPL
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
☆13Updated 5 years ago
Alternatives and similar repositories for PyLFPPL:
Users that are interested in PyLFPPL are comparing it to the libraries listed below
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 4 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Amortized Monte Carlo Integration☆15Updated 4 years ago
- Reweighted Expectation Maximization☆29Updated 5 years ago
- ☆15Updated 3 years ago
- ☆19Updated 2 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 6 years ago
- Normalizing Flows in Jax☆106Updated 4 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 3 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆144Updated 2 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- A generic Monte Carlo method based on the Gumbel-Max trick.☆32Updated 8 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 4 years ago
- ☆37Updated 5 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 5 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 4 years ago
- A Python implementation of the gradient REBAR estimator.☆46Updated 6 years ago
- Variational Autoencoders & Normalizing Flows Project☆19Updated 8 years ago
- Graduate topics course on learning discrete latent structure.☆66Updated 6 years ago
- Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)☆30Updated 3 years ago