A Tensorflow based library for Time Series Modelling with Gaussian Processes
☆32Apr 22, 2026Updated 3 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☆128Oct 16, 2024Updated last year
- A community repository for benchmarking Bayesian methods☆11May 25, 2023Updated 3 years ago
- Code for 'Memory-based dual Gaussian processes for sequential learning' (ICML 2023)☆12Aug 16, 2023Updated 2 years ago
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated 2 years ago
- Is there anything we can't make Bayesian?☆16Jun 19, 2025Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A community repository for benchmarking Bayesian methods☆113Nov 29, 2021Updated 4 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13May 22, 2024Updated 2 years ago
- 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 2 years ago
- 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…☆15Sep 11, 2025Updated 10 months ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago
- 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 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆51Aug 3, 2020Updated 5 years ago
- Python model for constrained GP☆27Apr 14, 2021Updated 5 years ago
- ☆12Jul 16, 2023Updated 3 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
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification☆21Apr 1, 2022Updated 4 years ago
- 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 2 years ago
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆17Aug 15, 2022Updated 3 years ago
- Model-based reinforcement learning in TensorFlow☆57Jul 27, 2021Updated 4 years ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- A library for random feature maps in Python.☆17Aug 27, 2020Updated 5 years ago
- 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☆20Mar 6, 2025Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- 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
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆18Updated this week
- The Fuzzy-Predictive-Control repository is a comprehensive collection of Python Jupyter Notebooks that demonstrate the implementation of …☆14Aug 7, 2023Updated 2 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆75Nov 13, 2020Updated 5 years ago
- 🐨 Email separator by providers☆10Oct 8, 2023Updated 2 years ago