Python library for Recurrent Gaussian Processes
☆22Oct 20, 2017Updated 9 years ago
Alternatives and similar repositories for RGP
Users that are interested in RGP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Python implementation of the PR-SSM.☆59Jul 9, 2018Updated 8 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆70Jan 17, 2025Updated last year
- Indian Buffet Process; Variational Inference☆11Nov 21, 2013Updated 12 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 9 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Dec 8, 2022Updated 3 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.
- ☆11Apr 23, 2024Updated 2 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
- Matlab Code for Variational Gaussian Copula Inference☆18Mar 15, 2016Updated 10 years ago
- Implementation for Non-stationary Spectral Kernels (NIPS 2017)☆20Jan 4, 2020Updated 6 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Jun 21, 2021Updated 5 years ago
- Code for Augment & Reduce, a scalable stochastic algorithm for large categorical distributions☆10May 16, 2018Updated 8 years ago
- ☆11Jun 17, 2016Updated 10 years ago
- System Identification with LSTM networks☆14Jul 6, 2023Updated 3 years ago
- Mixtures of Gaussian Process Experts in GPflow/TensorFlow☆13Aug 1, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- pyTorch variational autoencoder, with explainations☆11May 31, 2017Updated 9 years ago
- ☆10Sep 20, 2019Updated 7 years ago
- PyTorch for Neural Process in ICML 2018☆20Jun 23, 2019Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Jun 5, 2017Updated 9 years ago
- A community repository for benchmarking Bayesian methods☆113Nov 29, 2021Updated 4 years ago
- Variational Gaussian Process State-Space Models☆25Nov 10, 2015Updated 10 years ago
- This repo contains the source code related to the ICLR submission named: Retrieving Signals in the Frequency Domain with Deep Complex Ext…☆12Sep 24, 2019Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- ☆16Jan 6, 2019Updated 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.
- Randomized Linear Algebra in Python☆13Mar 21, 2017Updated 9 years ago
- ☆12Apr 11, 2022Updated 4 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆30Nov 30, 2018Updated 7 years ago
- This is forked from yunjhongwu's github: https://github.com/yunjhongwu/Sticky-HDPHMM-demo☆11Jun 25, 2018Updated 8 years ago
- Official codebase for our NeurIPS paper, Symmetry-Informed Governing Equation Discovery.☆11Nov 13, 2024Updated last year
- 全国大学生智能汽车竞赛讯飞智能餐厅组别南航猫猫子带带我队的视觉识别代码仓库☆12Aug 21, 2021Updated 5 years ago
- Online LDA using Hoffman's Python Implementation☆15Nov 14, 2014Updated 11 years ago
- ☆26May 15, 2018Updated 8 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 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.
- ☆11Nov 29, 2017Updated 8 years ago
- Talk and demo notebooks for PyData Chicago, August 2016: http://pydata.org/chicago2016/schedule/presentation/15/☆12Oct 29, 2016Updated 10 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Jun 20, 2014Updated 12 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Jul 6, 2023Updated 3 years ago
- Demonstration of Jackknife Variational Inference for Variational Autoencoders, related to ICLR 2018 paper.☆23Feb 21, 2018Updated 8 years ago
- Sparse reduced-rank regression☆20Jan 8, 2025Updated last year
- Hash Trick Engineering☆11Jan 10, 2018Updated 8 years ago