wearepal / UniversalGP
Generic implementation of GP model
☆8Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for UniversalGP
- Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…☆37Updated 5 years ago
- This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.☆15Updated 3 years ago
- Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)☆32Updated 4 years ago
- Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.☆44Updated 3 years ago
- project for my essay on how to use neural networks to linearise nonlinear dynamical systems☆9Updated 4 years ago
- Companion code for RSS 2020 paper: "Active Preference-Based Gaussian Process Regression for Reward Learning"☆39Updated 7 months ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆48Updated 9 years ago
- PyTorch implementation of Probabilistic Network Ensembles on toy problems☆23Updated last year
- multivariate Gaussian process regression and multivariate Student-t process regression☆70Updated 3 years ago
- Code for Expert Supervised Reinforcement Learning☆10Updated 3 years ago
- Ordered Preference Elicitation Strategies for Multi-Objective Decision Making using Gaussian Processes☆24Updated 6 years ago
- Pytorch Implementation of Deep Kalman Filter☆8Updated last year
- ☆42Updated 3 years ago
- Deconfounding Reinforcement Learning in Observational Settings☆48Updated 5 years ago
- Implementation of the Gaussian processes regression with inducing points for online data with ensemble Kalman filter estimation. Code for…☆17Updated 6 years ago
- Variational Dirichlet Process Gaussian Mixture Models☆27Updated 9 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- PyTorch for Neural Process in ICML 2018☆20Updated 5 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆17Updated 2 years ago
- A Recurrent Latent Variable Model for Sequential Data☆24Updated 6 years ago
- implementations sde-net☆14Updated 3 years ago
- Consistent Koopman Autoencoders☆65Updated last year
- Variational Gaussian Process State-Space Models☆21Updated 9 years ago
- Convergent Policy Optimization for Safe Reinforcement Learning☆9Updated 5 years ago
- Variational inference in Dirichlet process Gaussian mixture model (tensorflow implementation)☆13Updated 6 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆69Updated 2 years ago
- Source code for "When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian …☆10Updated 3 years ago
- Official implementation of Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning at ICML…☆37Updated 3 years ago
- Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction☆42Updated 4 years ago
- This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf☆16Updated 4 years ago