mwhoffman / pygpLinks
Python package for inference with Gaussian processes
☆11Updated 10 years ago
Alternatives and similar repositories for pygp
Users that are interested in pygp are comparing it to the libraries listed below
Sorting:
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- An implementation of the SuperLearner algorithm in Python based on scikit-learn.☆25Updated 11 years ago
- Code for AutoGP☆27Updated 5 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- ☆12Updated last year
- modular implementation of new algorithm☆13Updated 11 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Nonparametric Active Sampling☆11Updated 6 years ago
- A Python library for reinforcement learning using Bayesian approaches☆54Updated 10 years ago
- Conditional trees☆12Updated 12 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆32Updated 10 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Stochastic Gradient MCMC algorithms implemented in theano (and autograd)☆10Updated 8 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Gaussian Process Random Fields☆21Updated 9 years ago
- Exponential family embeddings (Poisson or Bernoulli) for discrete data☆32Updated 6 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- ☆32Updated 5 years ago
- ☆35Updated 12 years ago
- changepoint detection for Bayesian models☆21Updated 10 years ago
- ☆46Updated 11 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- Implementation of various algorithms in the Nested Sequential Monte Carlo family of methods.☆14Updated 9 years ago
- tuning hyperparams automatically with spearmint☆15Updated 11 years ago