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:
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆69Updated 8 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆13Updated 9 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆35Updated 8 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- ☆99Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Bayesian Weight Uncertainty Dense Layer for Keras☆48Updated 8 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.☆125Updated 5 years ago
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- This is code associated with the paper: Broderick, T, Boyd, N, Wibisono, A, Wilson, AC, and Jordan, MI. Streaming variational Bayes. Neur…☆41Updated 11 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- TensorFlow implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow☆55Updated 7 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago