PMBio / pygp
A Gaussian process toolbox in python
☆42Updated 12 years ago
Alternatives and similar repositories for pygp:
Users that are interested in pygp are comparing it to the libraries listed below
- Clustering time series using Gaussian processes and Variational Bayes.☆39Updated 4 years ago
- Code for AutoGP☆26Updated 5 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 8 years ago
- Library of common tools for machine learning research.☆41Updated 7 years ago
- Finding the best parameters for any algorithm☆42Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Bayesian model averaging of an objective function over a model class using advanced MCMC techniques.☆16Updated 10 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Bayesian dessert for Lasagne☆84Updated 7 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- SGCRFpy: Sparse Gaussian Conditional Random Fields in Python☆29Updated 8 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Some scikit-learn-esque wrappers for statsmodels GLM☆23Updated 11 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- An MCMC algorithm for sampling continuous probability distributions in parallel☆19Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Automatic differentiation for NumPy☆99Updated 9 years ago
- ☆98Updated 7 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- scikit-learn addon to operate on set/"group"-based features☆41Updated 8 years ago
- Randomized output tree for multilabel / multi-output regression tasks☆23Updated 9 years ago