AlCorreia / GeFsLinks
Generative Forests in Python
☆35Updated 2 years ago
Alternatives and similar repositories for GeFs
Users that are interested in GeFs are comparing it to the libraries listed below
Sorting:
- CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.☆78Updated last year
- A collection of commonly used datasets as benchmarks for density estimation in MaLe☆20Updated 6 years ago
- ☆53Updated 2 years ago
- Code for UAI'19: Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning☆37Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Updated 2 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 months ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.☆51Updated last year
- "Variational inference tools to leverage estimator sensitivity."☆16Updated 2 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 7 years ago
- ☆12Updated 3 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆65Updated last year
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- Code in support of the paper Continuous Mixtures of Tractable Probabilistic Models☆12Updated last year
- Jax SSM Library☆48Updated 3 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Functional tensors for probabilistic programming☆244Updated 2 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆241Updated 2 years ago
- Gaussian Processes for Sequential Data☆19Updated 5 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.☆33Updated 2 years ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Automated Scalable Bayesian Inference☆131Updated 4 years ago
- Modelling epidemiological dynamics and performing inference in these models☆27Updated 4 years ago
- Repository of models in Pyro☆30Updated last year
- ☆172Updated last year