Deep convolutional gaussian processes.
☆82Sep 4, 2019Updated 7 years ago
Alternatives and similar repositories for DeepCGP
Users that are interested in DeepCGP 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 Gaussian Processes with Importance-Weighted Variational Inference☆37May 30, 2019Updated 7 years ago
- Convolutional Gaussian processes based on GPflow.☆95Oct 31, 2017Updated 9 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Jun 21, 2019Updated 7 years ago
- Code for "Efficient optimization of loops and limits with randomized telescoping sums"☆28May 13, 2019Updated 7 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆154Feb 21, 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.
- Deep neural network kernel for Gaussian process☆210Sep 8, 2020Updated 6 years ago
- Library for Deep Gaussian Processes based on GPflow☆18Mar 31, 2020Updated 6 years ago
- Deep Gaussian Processes in Python☆232Oct 14, 2026Updated 2 weeks ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- Reference implementation of Thin and Deep Gaussian Processes (NeurIPS 2023)☆15Nov 25, 2024Updated last year
- ☆28Feb 15, 2019Updated 7 years ago
- MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders☆23Apr 30, 2019Updated 7 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Mar 3, 2020Updated 6 years ago
- The official code for the Harmonic variational Gaussian processes (ICML2021).☆11Jun 6, 2021Updated 5 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.
- ☆11Feb 8, 2023Updated 3 years ago
- Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"☆13May 8, 2019Updated 7 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37May 30, 2017Updated 9 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Jan 18, 2019Updated 7 years ago
- ☆14Jul 14, 2026Updated 3 months ago
- A library implementing the kernels for and experiments using extrinsic gauge equivariant vector field Gaussian Processes☆26Oct 28, 2021Updated 5 years ago
- The Python wrapper for LowRankModels.jl.☆15Aug 26, 2019Updated 7 years ago
- A software package for flexible HPC GPs☆16Updated this week
- Official implementation for the paper: "Shallow Updates for Deep Reinforcement Learning"☆18Nov 2, 2017Updated 8 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Aug 2, 2024Updated 2 years ago
- Python Library for Generalized Gaussian Process Modeling☆28Aug 12, 2026Updated 2 months ago
- Implementation of deep kernels in GPyTorch and Pyro☆13Jan 19, 2021Updated 5 years ago
- Expectation Particle Belief Propagation code☆13Oct 8, 2018Updated 8 years ago
- ☆14Jun 30, 2017Updated 9 years ago
- Code for Stochastic Hyperparameter Optimization through Hypernetworks☆29Jun 11, 2018Updated 8 years ago
- Gradient Estimation with Discrete Stein Operators (NeurIPS 2022)☆18Nov 14, 2023Updated 2 years ago
- Official code for "Efficient Deep Gaussian Process Models for Variable-Sized Inputs" - accepted in IJCNN2019☆15Jul 17, 2019Updated 7 years ago
- (ICML 2024) PyTorch implementation of "Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes"☆16Oct 15, 2024Updated 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.
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Dec 17, 2019Updated 6 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Apr 16, 2020Updated 6 years ago
- Gaussian processes regression models with linear inequality constraints☆16Jul 10, 2024Updated 2 years ago
- Learning with operator-valued kernels☆22Jan 31, 2023Updated 3 years ago
- Graduate topics course on learning discrete latent structure.☆66Dec 30, 2018Updated 7 years ago
- Lifelong Variational Autoencoder☆15Dec 6, 2017Updated 8 years ago
- Variational Fourier Features☆88Jun 16, 2021Updated 5 years ago