☆16Nov 4, 2021Updated 4 years ago
Alternatives and similar repositories for Incremental-Gaussian-Process-Regression-IGPR
Users that are interested in Incremental-Gaussian-Process-Regression-IGPR are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Gaussian Online Processes for Python☆19Jan 5, 2025Updated last year
- Batch and incremental Sparse Spectrum Gaussian Process for Regression☆10Mar 16, 2021Updated 5 years ago
- ☆11Feb 6, 2018Updated 8 years ago
- GPyTorch Implementation of Online Sparse Gaussian Process Regression☆11Apr 7, 2024Updated 2 years ago
- Scalable Gaussian Process Regression with Derivatives☆39Dec 13, 2018Updated 7 years ago
- 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.
- Streaming sparse Gaussian process approximations☆70Oct 5, 2022Updated 3 years ago
- Infinite-horizon Gaussian processes☆33Sep 28, 2020Updated 5 years ago
- Online variational GPs☆38Jun 1, 2023Updated 3 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆13Aug 1, 2022Updated 4 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆16Jul 9, 2018Updated 8 years ago
- Contextual Relative Entropy Policy Search for Reinforcement Learning in Python☆15Oct 17, 2018Updated 7 years ago
- Incremental Gaussian processes occupancy mapping using range-finder sensors☆17Jun 3, 2018Updated 8 years ago
- ☆13Feb 23, 2021Updated 5 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.
- Research notebook from the paper: Sousa, Cristóvão D. and Cortesão, Rui, "Physically feasible dynamic parameter identification of the 7-D…☆13Jul 17, 2015Updated 11 years ago
- This repository contains the codes for manipulability learning, tracking and transfer.☆27Oct 14, 2021Updated 4 years ago
- Active learning of GP hyperparameters following Garnett, et al., "Active Learning of Linear Embeddings for Gaussian Processes," (UAI 2014…☆16Aug 4, 2017Updated 9 years ago
- Exploring how to to deal with uncertain inputs with gaussian process regression models.☆27Apr 16, 2021Updated 5 years ago
- A toolbox for inference of mixture models☆16May 29, 2023Updated 3 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- This repository contains the code for GMR-based Gaussian process.☆23Oct 7, 2019Updated 6 years ago
- PyTorch implementation of different Deep RL algorithms for the LunarLander-v2 environment in OpenAI Gym☆11May 20, 2018Updated 8 years ago
- Surrogate CMA-ES (S-CMA-ES and DTS-CMA-ES) is a surrogate-based optimizing evolution strategy. It is based on the N. Hansen's CMA-ES algo…☆23Feb 9, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Using Drake to Simulate and Control Quadrupedal Robots☆34Mar 16, 2022Updated 4 years ago
- Controller to calibrate force sensors and let mc_rtc remove the effect of gravity due to links attached to the force sensors (grippers/f…☆10Jan 26, 2026Updated 7 months ago
- ilpyt: imitation learning library with modular, baseline implementations in Pytorch☆18Oct 25, 2023Updated 2 years ago
- Gaussian process regression algorithms for nonlinear system state prediciton☆13Jun 27, 2015Updated 11 years ago
- A highly efficient and modular implementation of Gaussian Processes in PyTorch☆16Jun 4, 2020Updated 6 years ago
- DynELA Finite Element code v.3.0☆11Oct 22, 2020Updated 5 years ago
- Gaussian Process Regression Techniques - The source code corresponding to the Ph.D. thesis.☆73May 10, 2017Updated 9 years ago
- A neural machine translator from english to spanish in tf2 using encoder-decoder with attention☆12Jun 6, 2021Updated 5 years ago
- Implementation of Log Gaussian Cox Process in Python for Changepoint Detection using GPFlow☆40Mar 24, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Barrett WAM & BHand-280 CAD and modular URDFs with inertial properties.☆16Sep 26, 2016Updated 9 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆38Mar 24, 2024Updated 2 years ago
- Solving Complex Dexterous Manipulation Tasks with Trajectory Optimisation and Reinforcement Learning☆24May 16, 2021Updated 5 years ago
- Implementation of the paper "Hybrid Zero Dynamics of Planar Bipedal Walking"☆10Dec 6, 2018Updated 7 years ago
- Implements experiments to evaluate transition state clustering☆13Jul 12, 2016Updated 10 years ago
- Modern Fortran implementation of `quadprog`☆13Apr 3, 2026Updated 5 months ago
- ☆13Oct 21, 2024Updated last year