Sequential Monte Carlo in python
☆505Feb 19, 2026Updated 5 months ago
Alternatives and similar repositories for particles
Users that are interested in particles are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Particle filtering and sequential parameter inference in Python☆83Apr 22, 2023Updated 3 years ago
- Basic Python particle filter☆181Apr 3, 2023Updated 3 years ago
- Automatically exported from code.google.com/p/py-smc2☆14Jun 15, 2015Updated 11 years ago
- Extensible Tensorflow library for differentiable particle filtering. ICML 2021.☆44Jan 24, 2023Updated 3 years ago
- BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.☆1,101Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…☆22Sep 24, 2018Updated 7 years ago
- Python module for uncertainty quantification using a parallel sequential Monte Carlo sampler☆134Jul 16, 2026Updated last week
- some scripts for the couplings enthusiasts!☆33Jul 21, 2020Updated 6 years ago
- Implementation of advanced Sequential Monte Carlo and particle MCMC algorithms☆64Jul 19, 2026Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆106Oct 23, 2023Updated 2 years ago
- State of the art inference for your bayesian models.☆247Jan 14, 2026Updated 6 months ago
- Tutorials and sampling algorithm comparisons☆86Updated this week
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆243Dec 22, 2023Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Jan 29, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Online inference on reactive probabilistic models, with SMC and symbolic methods☆16Jun 7, 2023Updated 3 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆333Mar 20, 2024Updated 2 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆15Apr 20, 2026Updated 3 months ago
- Manifold Markov chain Monte Carlo methods in Python☆237Updated this week
- A Python package for probabilistic state space modeling with JAX☆983Updated this week
- Gaussian processes in JAX and Equinox.☆641Updated this week
- ☆53Feb 27, 2023Updated 3 years ago
- An HMC/NUTS implementation in Aesara☆31Jun 22, 2023Updated 3 years ago
- A light interface to serial and multi-threaded Sequential Monte Carlo☆33Dec 15, 2021Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning withi…