SheffieldML / PyDeepGPLinks
Deep Gaussian Processes in Python
☆234Updated 4 years ago
Alternatives and similar repositories for PyDeepGP
Users that are interested in PyDeepGP are comparing it to the libraries listed below
Sorting:
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆52Updated 5 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- Deep neural network kernel for Gaussian process☆208Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- ☆237Updated 8 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆405Updated last year
- Gaussian processes with PyTorch☆30Updated 3 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Bayesian neural network package☆149Updated 4 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated last year
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- A tutorial about Gaussian process regression☆188Updated 4 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆51Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆33Updated 8 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Package implementing various parametric and nonparametric methods for conditional density estimation☆196Updated 2 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆86Updated 5 years ago
- Deep Gaussian Processes with Importance-Weighted Variational Inference☆39Updated 6 years ago
- ☆40Updated 6 years ago
- Streaming sparse Gaussian process approximations☆67Updated 2 years ago