brencej / ProGED
equation discovery based on generative models
☆15Updated last month
Related projects: ⓘ
- Generative Forests in Python☆32Updated last year
- ☆50Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆17Updated 5 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆36Updated 4 years ago
- A Python Library for Deep Probabilistic Modeling☆59Updated last year
- Implementation of Bayesian Sum-Product Networks☆12Updated 4 years ago
- Inference Combinators in JAX☆42Updated 2 months ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆47Updated 7 months ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆11Updated last year
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆44Updated last year
- Sum-Product Network learning routines in python☆25Updated 9 years ago
- Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.☆48Updated 4 years ago
- Implementation of Nonparametric Hamiltonian Monte Carlo☆12Updated last year
- Python library for working with graphons☆21Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆63Updated 5 years ago
- Bayesian inference with Python and Jax.☆31Updated last year
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆45Updated 3 years ago
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆15Updated 2 years ago
- ☆36Updated 4 years ago
- Code and supplemental material for "Sum-Product Autoencoding: Encoding and Decoding Representations using Sum-Product Networks"☆8Updated 6 years ago
- Repository of models in Pyro☆28Updated last month
- Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'☆29Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆27Updated 5 years ago
- Code and supplementary material for "Automatic Bayesian Density Analysis", AAAI 19☆20Updated 5 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- The Python PSDD Package☆15Updated last week
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆27Updated 4 years ago
- Symbolic Regression using MCMC sampling☆25Updated 2 years ago