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
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Normalizing Flows in Jax☆108Updated 4 years ago
- "Discontinuous Hamiltonian Monte Carlo for sampling discrete parameters" by Akihiko Nishimura, David Dunson, Jianfeng Lu☆27Updated 6 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆44Updated 7 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- A public repository for our paper, Rao-Blackwellized Stochastic Gradients for Discrete Distributions☆22Updated 6 years ago
- LaTeX package for randomizing author order based on a public seed.☆40Updated 10 years ago
- Amortized Monte Carlo Integration☆15Updated 5 years ago
- Implementations of polygamma, lgamma, and beta functions for PyTorch☆24Updated 7 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- ☆30Updated 3 years ago
- Loss Landscapes of Regularized Linear Autoencoders☆144Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆37Updated 5 years ago
- ☆80Updated 3 years ago
- ☆16Updated 3 weeks ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆27Updated 6 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- ☆12Updated last year