markm541374 / gpboLinks
gpbo
☆25Updated 4 years ago
Alternatives and similar repositories for gpbo
Users that are interested in gpbo are comparing it to the libraries listed below
Sorting:
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 6 years ago
- ☆26Updated 7 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆16Updated 6 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆30Updated 4 years ago
- ☆40Updated 6 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago
- ☆51Updated 11 months ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Multiplicative Normalizing Flow (MNF) posteriors for variational Bayesian neural networks☆65Updated 4 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 7 years ago
- Demos demonstrating the difference between homoscedastic and heteroscedastic regression with dropout uncertainty.☆140Updated 9 years ago
- Neural Processes implementation for 1D regression☆65Updated 6 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- Code for the paper Implicit Weight Uncertainty in Neural Networks☆65Updated 5 years ago
- Determinantal Point Processes in Julia☆12Updated 5 years ago
- predicting learning curves in python☆43Updated 8 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆51Updated last month
- Deep convolutional gaussian processes.☆79Updated 5 years ago
- An implementation of "Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles" (http://arxiv.org/abs/1612.01474)☆34Updated 8 years ago
- Code for doubly stochastic gradients☆25Updated 10 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆38Updated 7 years ago
- ☆14Updated 8 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- ☆69Updated 4 years ago
- Lua implementation of Entropy-SGD☆82Updated 7 years ago