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
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 4 years ago
- Continual Gaussian Processes☆32Jul 6, 2023Updated 2 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
- Here we will to store papers from bayesgroup.ru☆11Dec 15, 2016Updated 9 years ago
- 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
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 11 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- 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.
- ☆12Dec 8, 2022Updated 3 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 9 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
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Variational inference for Dirichlet process mixture models with multinomial mixture components.☆37Jan 15, 2014Updated 12 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.
- ☆86Feb 25, 2022Updated 4 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 7 years ago
- Chaotic Recurrent Neural Network model☆17Oct 22, 2016Updated 9 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
- Stochastic Gradient Riemannian Langevin Dynamics☆35May 29, 2015Updated 11 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Jan 13, 2020Updated 6 years ago
- Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-paramet…☆14Mar 21, 2019Updated 7 years ago
- An OpenAI Gym to benchmark AI Reinforcement Learning algorithms in fisheries-related control problems☆10Jul 17, 2023Updated 2 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.
- 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
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- Tensorflow implementation of fisheye transformation, mimicking the spatial sampling properties in the primate retina☆18Oct 7, 2019Updated 6 years ago
- ☆11Jun 17, 2016Updated 9 years ago
- Python implementation of the PR-SSM.☆59Jul 9, 2018Updated 7 years ago
- ☆39Dec 11, 2018Updated 7 years ago