gmum / non-gaussian-gaussian-processesLinks
☆20Updated 3 years ago
Alternatives and similar repositories for non-gaussian-gaussian-processes
Users that are interested in non-gaussian-gaussian-processes are comparing it to the libraries listed below
Sorting:
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆127Updated 4 years ago
- Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks☆10Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- Modular Gaussian Processes☆15Updated 3 years ago
- ☆28Updated 3 years ago
- Code for experiments to learn uncertainty☆30Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆32Updated 3 years ago
- Toy Examples of Conditional Density Estimation with Bayesian Normalizing flows☆21Updated 7 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- A tutorial for the 2018 paper Accurate Uncertainties for Deep Learning Using Calibrated Regression by Kuleshov et al.☆52Updated 5 years ago
- Implementations of Normalizing Flows in Pytorch/Pyro☆18Updated 5 years ago
- Master thesis for the MSc. Artificial Intelligence at the University of Amsterdam, 2019. Topic: Super-resolution with Conditional Normali…☆20Updated last year
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- A library for uncertainty quantification based on PyTorch☆122Updated 3 years ago
- Implementation of the Functional Neural Process models☆42Updated 5 years ago
- Pytorch implementation of the basic idea presented in https://arxiv.org/abs/2002.07101☆12Updated 5 years ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Code for the paper 'Continual Learning via Sequential Function-Space Variational Inference'☆25Updated 2 years ago
- ☆29Updated 3 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'☆26Updated 4 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Implementation of the MIWAE method for deep generative modelling of incomplete data sets.☆41Updated last year
- ☆14Updated 2 years ago
- The official source code to: Uncertainty Estimates of Predictions via a General Bias-Variance Decomposition (AISTATS'23)☆11Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Updated last year