titicaca / GP-Clustering
Clustering with Gaussian Process Models
☆18Updated 5 years ago
Related projects: ⓘ
- Code for density estimation with nonparametric cluster shapes.☆38Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- ☆25Updated 2 years ago
- Variational Message Passing for Structured VAE (Code for ICLR 2018 paper)☆43Updated 6 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆43Updated 4 years ago
- Collection of notebooks exploring conv nets in detail.☆10Updated 7 years ago
- Variational Fourier Features☆81Updated 3 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 9 years ago
- TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials☆31Updated 6 years ago
- ☆26Updated 5 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 5 years ago
- Implementations of the ICML 2017 paper (with Yarin Gal)☆39Updated 6 years ago
- Variational Recurrent Auto Encoder☆16Updated 8 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 4 years ago
- Code for paper "Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation"☆31Updated 5 years ago
- ☆15Updated this week
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆38Updated 5 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 4 years ago
- Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326☆71Updated 6 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 3 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Exponential Machines implementation☆39Updated 7 years ago
- A Keras/TensorFlow-based implementation of Adversarial Variational Bayes by L. Mescheder et al.☆12Updated 7 years ago
- A collection of Gaussian process models☆29Updated 7 years ago
- Learning algorithms introduced in "A PAC-Bayes Sample Compression Approach to Kernel Methods" (ICML 2011)☆9Updated 9 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 6 years ago
- Repo for a paper about constructing priors on very deep models.☆69Updated 8 years ago
- ☆18Updated 4 years ago
- Stats 479 Project☆22Updated 5 years ago