jamesrobertlloyd / gpss-researchLinks
Kernel structure discovery research code - likely to be unstable
☆193Updated 10 years ago
Alternatives and similar repositories for gpss-research
Users that are interested in gpss-research are comparing it to the libraries listed below
Sorting:
- ☆240Updated 8 years ago
- I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth☆185Updated 11 years ago
- Collection of jupyter notebooks for demonstrating software.☆169Updated 2 years ago
- ELFI - Engine for Likelihood-Free Inference☆277Updated 4 months ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Python package for modular Bayesian optimization☆136Updated 4 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- MCMC samplers for Bayesian estimation in Python, including Metropolis-Hastings, NUTS, and Slice☆339Updated 2 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆151Updated 6 years ago
- Sequential Monte Carlo working on top of pymc☆49Updated 6 years ago
- Implementation in C and Theano of the method Probabilistic Backpropagation for scalable Bayesian inference in deep neural networks.☆191Updated 6 years ago
- megaman: Manifold Learning for Millions of Points☆329Updated 2 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.☆83Updated 5 years ago
- A tutorial about Gaussian process regression☆189Updated 5 years ago
- Structured Inference Networks for Nonlinear State Space Models☆273Updated 8 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Dirichlet MLE python library☆117Updated last month
- Deep Gaussian Processes in Python☆236Updated 4 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Bayesian optimization for Python☆246Updated 3 years ago
- Bayesian nonparametric machine learning for Python☆228Updated 2 years ago
- ☆98Updated 7 years ago
- my blog☆268Updated 3 years ago
- Distributed Variational Inference in Sparse Gaussian Process Regression and Latent Variable Models.☆43Updated 11 years ago