SheffieldML / ChainedGP
Repository for Chained Gaussian Processes
☆14Updated 8 years ago
Related projects ⓘ
Alternatives and complementary repositories for ChainedGP
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Repo for a paper about constructing priors on very deep models.☆70Updated 8 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- ☆11Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 9 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- code for stochastic expectation propagation☆16Updated 9 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 10 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆65Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆32Updated 9 years ago
- Bidirectional Helmholtz Machines☆41Updated 8 years ago
- Hyper-parameter Optimization with DrMAD and Hypero☆23Updated 8 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆31Updated 8 years ago
- miniplaces2 deep residual network in neon☆16Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 6 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- ACDC: A Structured Efficient Linear Layer☆42Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆36Updated last year
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 10 years ago
- Example implementation of the Bayesian neural network in "Structured and Efficient Variational Deep Learning with Matrix Gaussian Posteri…☆31Updated 4 years ago
- Implementation of the reweighted wake-sleep machine learning algorithm☆41Updated 8 years ago