theogf / BayesianSVMLinks
Source code of the Bayesian SVM described in the paper by Wenzel et al. "Bayesian Nonlinear Support Vector Machines for Big Data"
☆19Updated 5 years ago
Alternatives and similar repositories for BayesianSVM
Users that are interested in BayesianSVM are comparing it to the libraries listed below
Sorting:
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆67Updated 8 years ago
- ☆99Updated 7 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Variational Fourier Features☆86Updated 4 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- A Newton ADMM based solver for Cone programming.☆39Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 7 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆47Updated 9 years ago
- Gaussian Process and Uncertainty Quantification Summer School 2017☆26Updated 3 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆33Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆74Updated 7 years ago
- Mixed History Recurrent Neural Networks☆47Updated 7 years ago
- Torch package for metric learning.☆43Updated 8 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Code for paper "Full-Capacity Unitary Recurrent Neural Networks"☆54Updated 8 years ago