This is a collection of code samples aimed at illustrating temporal parallelization methods for sequential data.
☆34Sep 15, 2023Updated 3 years ago
Alternatives and similar repositories for sequential-parallelization-examples
Users that are interested in sequential-parallelization-examples are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆14Apr 20, 2026Updated 6 months ago
- Companion code in JAX for the paper Parallel Iterated Extended and Sigma-Point Kalman Smoothers.☆28Aug 9, 2024Updated 2 years ago
- Stochastic state-space Inference and Prediction☆16Updated this week
- Input Inference for Control (i2c), a control-as-inference framework for optimal control☆26Sep 6, 2023Updated 3 years ago
- ☆10Feb 26, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Open source Java framework to create, process and manage mixtures of exponential family☆14Aug 4, 2015Updated 11 years ago
- Exponential families for JAX☆77Oct 23, 2026Updated last week
- State-space deep Gaussian processes in Python and Matlab☆31Jun 12, 2022Updated 4 years ago
- Python code of the paper Model order reduction of deep structured state-space models: A system-theoretic approach☆14Nov 22, 2024Updated last year
- Normalizing Flows using JAX☆87Nov 30, 2023Updated 2 years ago
- Soft Sensor with Variational Inference Technique☆21Oct 15, 2024Updated 2 years ago
- ☆25Nov 14, 2017Updated 8 years ago
- Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.☆331Mar 20, 2024Updated 2 years ago
- A PyTorch wrapper of parallel exclusive scan in CUDA☆12May 25, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Structural Time Series in JAX☆221May 8, 2024Updated 2 years ago
- PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]☆23Mar 6, 2021Updated 5 years ago
- Inverse optimal control for continuous psychophysics☆31Sep 28, 2026Updated last month
- Distributed variational Bayesian algorithms over sensor networks☆12Jun 30, 2017Updated 9 years ago
- ☆21Nov 12, 2019Updated 6 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago
- Neural Optimal Feedback Control☆12Mar 5, 2022Updated 4 years ago
- Loopy belief propagation for factor graphs on discrete variables, in JAX!☆66Oct 7, 2024Updated 2 years ago
- Learning to draw samples: with application to amortized maximum likelihood estimator for generative adversarial learning☆10Dec 28, 2021Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Jax SSM Library☆48Nov 24, 2022Updated 3 years ago
- SVGD implementation☆12Jul 23, 2018Updated 8 years ago
- rnalib: a python-based transcriptomics library☆14Jul 27, 2026Updated 3 months ago
- Companion Matlab and Python codes for the book Bayesian Filtering and Smoothing by Simo Särkkä and Lennart Svensson☆89Feb 5, 2026Updated 8 months ago
- ☆80Sep 4, 2021Updated 5 years ago
- Nonlinear Sigma-Point Kalman Filters based on Bayesian Quadrature☆12Aug 10, 2021Updated 5 years ago
- ☆12Oct 15, 2024Updated 2 years ago
- A Python package for probabilistic state space modeling with JAX☆1,022Oct 13, 2026Updated 2 weeks ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆65Jun 17, 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.
- ☆10Jan 12, 2024Updated 2 years ago
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Mar 23, 2018Updated 8 years ago
- Code for AISTATS 2017 paper on "Conjugate-Computation Variational Inference"☆20Jul 10, 2020Updated 6 years ago
- ☆11Sep 3, 2022Updated 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.☆244Dec 22, 2023Updated 2 years ago
- Bayesian learning and inference for state space models☆728May 9, 2025Updated last year
- Oryx is a library for probabilistic programming and deep learning built on top of Jax.☆327Oct 14, 2026Updated 2 weeks ago