Convolutional Gaussian processes based on GPflow.
☆95Oct 31, 2017Updated 8 years ago
Alternatives and similar repositories for convgp
Users that are interested in convgp are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deep convolutional gaussian processes.☆82Sep 4, 2019Updated 6 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Aug 11, 2017Updated 8 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆153Feb 21, 2019Updated 7 years ago
- Gaussian processes in TensorFlow☆1,911Jun 16, 2026Updated last month
- 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.
- Light-weighted code for Orthogonal Additive Gaussian Processes☆46Jul 30, 2024Updated last year
- ☆26Jun 12, 2018Updated 8 years ago
- The code for the ACL 2017 paper "Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling"☆29Apr 30, 2017Updated 9 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 5 years ago
- Asymmetric Transfer Learning with Deep Gaussian Processes☆18Jun 26, 2015Updated 11 years ago
- Gaussian processes framework in python☆2,157Jun 19, 2025Updated last year
- Code to train Importance Weighted Autoencoders on MNIST and OMNIGLOT☆209Jan 26, 2016Updated 10 years ago
- Deep Gaussian Processes in Python☆232May 4, 2021Updated 5 years ago
- Implementation of PILCO for the Model-Based Baselines Project☆18Jul 18, 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.
- Code for Semi-crowdsourced Clustering with Deep Generative Models☆12Dec 9, 2022Updated 3 years ago
- ☆12Jul 14, 2022Updated 4 years ago
- Deep network to separate astrophysical foregrounds from cosmological signal for upcoming 21 cm radio observations. Full paper on arXiv he…☆12Jan 31, 2022Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Jul 10, 2018Updated 8 years ago
- ☆11Oct 25, 2021Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆251Aug 2, 2024Updated last year
- Implementation of "Variational Inference for Monte Carlo Objectives"☆21Jul 27, 2020Updated 5 years ago
- A highly efficient implementation of Gaussian Processes in PyTorch☆3,899Jul 10, 2026Updated last week
- Data-driven modeling of chaotic systems in the form of SDEs and nonlinear observation maps☆19Aug 13, 2020Updated 5 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Bayesian optimization in high-dimensions via random embedding.☆117Aug 4, 2013Updated 12 years ago
- Modeling Uncertainty in RNNs for Time Series Forecasting☆14Dec 13, 2017Updated 8 years ago
- PyTorch implementation of the Covariate-GPLVM☆26Mar 1, 2020Updated 6 years ago
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 5 years ago
- Some of my experiments targeting adversarial instances☆12May 7, 2017Updated 9 years ago
- Sparse Orthogonal Variational Inference for Gaussian Processes (SOLVE-GP)☆23Jun 22, 2021Updated 5 years ago
- Analogs of Linguistic Structure in Deep Representations☆19Jul 27, 2017Updated 8 years ago
- ☆40Apr 29, 2019Updated 7 years ago
- Apply reinforcement learning to visual attention☆18Oct 13, 2016Updated 9 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.
- Fast object detector - Active Deformable Part Models☆11Feb 9, 2015Updated 11 years ago
- Implementation of paper "GibbsNet: Iterative Adversarial Inference for Deep Graphical Models" in PyTorch☆57Dec 22, 2017Updated 8 years ago
- Deeply-supervised Nets☆144May 24, 2019Updated 7 years ago
- code for stochastic expectation propagation☆17Oct 30, 2015Updated 10 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Nov 29, 2022Updated 3 years ago
- Density Ratio Estimation via Infinitesimal Classification (AISTATS 2022 Oral)☆22Mar 12, 2022Updated 4 years ago
- Hyper-parameter Optimization with DrMAD and Hypero☆23Jun 9, 2016Updated 10 years ago