SheffieldML / PyDeepGPLinks
Deep Gaussian Processes in Python
☆236Updated 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☆151Updated 6 years ago
- Heterogeneous Multi-output Gaussian Processes☆54Updated 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☆188Updated 11 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆95Updated 7 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆250Updated last year
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- ☆241Updated 8 years ago
- A community repository for benchmarking Bayesian methods☆111Updated 3 years ago
- Deep Gaussian Processes in matlab☆92Updated 4 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆34Updated 8 years ago
- Multiple output Gaussian processes in MATLAB including the latent force model.☆52Updated 9 years ago
- Gaussian processes with PyTorch☆30Updated 4 years ago
- Library for Deep Gaussian Processes based on GPflow☆19Updated 5 years ago
- Bayesian neural network package☆152Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- ☆40Updated 6 years ago
- Multi-task Gaussian Process☆44Updated 10 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago