Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neural Networks", Qi She, Anqi Wu, UAI2019
☆40Dec 8, 2022Updated 3 years ago
Alternatives and similar repositories for GP-RNN_UAI2019
Users that are interested in GP-RNN_UAI2019 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"☆27Mar 29, 2019Updated 7 years ago
- Python library for Recurrent Gaussian Processes☆22Oct 20, 2017Updated 8 years ago
- Models and examples built with TensorFlow☆15Jan 5, 2021Updated 5 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆29Nov 30, 2018Updated 7 years ago
- Gaussian Process Prior Variational Autoencoder☆86Nov 28, 2018Updated 7 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- A collection of Gaussian process models☆30Aug 17, 2017Updated 8 years ago
- [DEVELOPMENT CONTINUES HERE: https://github.com/Pybonacci/jupy2wp] Publish an IPython notebook on a wordpress site using xmlrpc☆17May 20, 2016Updated 9 years ago
- PyTorch implementation of the Covariate-GPLVM☆25Mar 1, 2020Updated 6 years ago
- Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds (2018, https://arxiv.org/abs/1805.06299)☆11Jan 16, 2020Updated 6 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- Toolbox for analyzing behavioral videos and neural activity☆61Dec 3, 2023Updated 2 years ago
- Here we will to store papers from bayesgroup.ru☆11Dec 15, 2016Updated 9 years ago
- Variational Auto-Regressive Gaussian Processes for Continual Learning☆22Jun 15, 2021Updated 4 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for ICML 2019 paper on "Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family Approximations"☆19Jan 2, 2021Updated 5 years ago
- Stochastic variational heteroscedastic Gaussian process☆15Mar 29, 2019Updated 7 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆38May 30, 2019Updated 6 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 8 years ago
- Implementations of various random kitchen sinks algorithms.☆14Feb 25, 2020Updated 6 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- ☆21Mar 3, 2022Updated 4 years ago
- This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition☆12Apr 9, 2019Updated 7 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Nov 3, 2020Updated 5 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- ☆85Feb 25, 2022Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- A PyTorch Implementation of the Importance Weighted Autoencoders☆39Dec 2, 2018Updated 7 years ago
- Hierarchical Gaussian process latent variable model.☆18May 19, 2021Updated 4 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Jul 1, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 10 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Non-stationary Off-policy Evaluation☆13Nov 8, 2018Updated 7 years ago
- Implementation of grid cells in Python and Javascript☆23Jan 13, 2022Updated 4 years ago
- Implementation of the GPLVM algorithm in python☆44Nov 23, 2009Updated 16 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 7 years ago