SheffieldML / PyDeepGP
Deep Gaussian Processes in Python
☆232Updated 3 years ago
Alternatives and similar repositories for PyDeepGP:
Users that are interested in PyDeepGP are comparing it to the libraries listed below
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆148Updated 5 years ago
- Deep neural network kernel for Gaussian process☆203Updated 4 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆94Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 5 months ago
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Bayesian Optimization using GPflow☆269Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 4 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- A tutorial about Gaussian process regression☆185Updated 4 years ago
- A community repository for benchmarking Bayesian methods☆111Updated 3 years ago
- Gaussian processes with PyTorch☆30Updated 3 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☆181Updated 10 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆123Updated 3 months ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- ☆231Updated 7 years ago
- ☆28Updated 5 years ago
- Bayesian neural network package☆141Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 3 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Continual Gaussian Processes☆32Updated last year
- Neural Processes implementation for 1D regression☆65Updated 5 years ago
- Deep convolutional gaussian processes.☆78Updated 5 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- We use a modified neural network instead of Gaussian process for Bayesian optimization.☆108Updated 7 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆266Updated 4 years ago
- Bayesian Neural Network in PyTorch☆83Updated 8 months ago
- Additive Gaussian Process Bandits - version 1.0☆26Updated 8 years ago
- Gaussian Processes in Pytorch☆75Updated 4 years ago