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 implementation of Bayes-by-Backprop algorithm from "Weight Uncertainty in Neural Networks" paper☆51Updated 6 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 8 years ago
- ☆13Updated 9 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆99Updated 7 years ago
- Kohonen vector quantizers (SOM, NG, GNG)☆71Updated 7 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Bayesian Poisson Tucker decomposition☆17Updated 8 years ago
- A Python convex optimization package using proximal splitting methods☆118Updated last month
- Exponential Machines implementation☆42Updated 8 months ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 7 years ago
- bayesian bootstrapping in python☆122Updated 3 years ago
- Gaussian Process optimization algorithm for Hyperopt☆24Updated 11 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- Neural Processes implementation for 1D regression☆64Updated 6 years ago
- Machine Learning in High Energy Physics 2016☆76Updated 6 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
- Python implementations of kNN imputation☆31Updated 8 years ago
- A collection of Gaussian process models☆30Updated 8 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago