A Tensorflow based library for Time Series Modelling with Gaussian Processes
☆32Apr 22, 2026Updated 5 months ago
Alternatives and similar repositories for markovflow
Users that are interested in markovflow are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep GPs built on top of TensorFlow/Keras and GPflow☆130Sep 30, 2026Updated last week
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- A Bayesian optimization toolbox built on TensorFlow☆254Oct 2, 2026Updated last week
- A community repository for benchmarking Bayesian methods☆112Nov 29, 2021Updated 4 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 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.
- 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
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆25Feb 11, 2024Updated 2 years ago
- Unifying probabilistic models for time-frequency analysis. Spectral Mixture Gaussian processes in state space form.☆19May 30, 2019Updated 7 years ago
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Jul 12, 2021Updated 5 years ago
- ☆25Sep 10, 2023Updated 3 years ago
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Methods and experiments for assumed density SDE approximations☆12Jan 26, 2022Updated 4 years ago
- NUBO is a Bayesian optimisation framework for the optimisation of expensive-to-evaluate black-box functions developed by the Fluid Dynami…☆14Sep 11, 2025Updated last year
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 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.
- Explanation Optimization☆13Oct 16, 2020Updated 5 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆22Jul 20, 2024Updated 2 years ago
- Mini Bayesian Optimization package for ACML2020 Tutorial on Bayesian Optimization☆15Sep 30, 2022Updated 4 years ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆13Oct 30, 2024Updated last year
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Aug 3, 2020Updated 6 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 9 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 5 months ago
- Zonal Spherical Harmonics in d Dimensions in TensorFlow, PyTorch and Jax☆35Feb 10, 2026Updated 8 months ago
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆20Apr 1, 2022Updated 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.
- Calculates and compares perceptual sound texture statistics☆16Mar 16, 2021Updated 5 years ago
- Optimal ordering of elements in a set given their distance matrix.☆18Oct 2, 2023Updated 3 years ago
- Code and data to reproduce the analysis of Hu et al. 2016: Correlation-based interpretations of paleoclimate data -- where statistics mee…☆11Jun 3, 2021Updated 5 years ago
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆17Aug 15, 2022Updated 4 years ago
- Solving a constrained robust optimal control problem with uncertain neural network dynanmics through convex optimization.☆11Jan 14, 2024Updated 2 years ago
- My tests and experiments with some popular dl frameworks.☆17Sep 11, 2025Updated last year
- Model-based reinforcement learning in TensorFlow☆56Jul 27, 2021Updated 5 years ago
- A library for random feature maps in Python.☆17Aug 27, 2020Updated 6 years ago
- Code used in paper submitted to ICASSP 2019☆14Nov 22, 2018Updated 7 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.
- Machine learning applied to interpolate sea-surface height observations from altimetry tracks.☆11Apr 3, 2023Updated 3 years ago
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated 2 years ago
- iQRL: implicitly Quantized Representations for Sample-efficient Reinforcement Learning☆12Jan 8, 2025Updated last year
- code for BINOCULARS and Multi-Step BO☆12Dec 7, 2020Updated 5 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆29Sep 7, 2026Updated last month