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
☆13Updated 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 5 years ago
- Normalizing Flows in Jax☆107Updated 5 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆147Updated 3 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆28Updated 7 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆46Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Natural Gradient, Variational Inference☆29Updated 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 5 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆17Updated 8 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Autoregressive Energy Machines☆78Updated 2 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.☆93Updated 3 years ago
- ☆19Updated 3 years ago
- Jax-based MaxEnt☆17Updated 5 years ago
- ☆37Updated 6 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- ☆80Updated 4 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 5 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago