duvenaud / phd-thesis
I am in [research] stepped in so far that, should I wade no more, Returning were as tedious as go o'er. -MacBeth
☆181Updated 10 years ago
Alternatives and similar repositories for phd-thesis:
Users that are interested in phd-thesis are comparing it to the libraries listed below
- ☆231Updated 7 years ago
- Kernel structure discovery research code - likely to be unstable☆190Updated 9 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆148Updated 5 years ago
- A tutorial about Gaussian process regression☆185Updated 4 years ago
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆80Updated 6 months ago
- Deep Gaussian Processes in Python☆232Updated 3 years ago
- Bayesian Optimization using GPflow☆269Updated 4 years ago
- Collection of jupyter notebooks for demonstrating software.☆165Updated last year
- Deep Gaussian Processes in matlab☆91Updated 3 years ago
- Just a little MCMC☆219Updated 7 months ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆31Updated 7 years ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆137Updated 7 years ago
- Heterogeneous Multi-output Gaussian Processes☆51Updated 4 years ago
- Variational Fourier Features☆83Updated 3 years ago
- ☆93Updated 6 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 5 months ago
- Bayesian optimization in high-dimensions via random embedding.☆113Updated 11 years ago
- Multi-task Gaussian Process☆43Updated 10 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆123Updated 3 months ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆266Updated 4 years ago
- Streaming sparse Gaussian process approximations☆62Updated 2 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆48Updated 3 years ago
- Convolutional Gaussian processes based on GPflow.☆96Updated 7 years ago
- Manifold Markov chain Monte Carlo methods in Python☆226Updated last week
- A community repository for benchmarking Bayesian methods☆111Updated 3 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆214Updated 5 years ago
- Structured Inference Networks for Nonlinear State Space Models☆267Updated 7 years ago
- Max-value Entropy Search for Efficient Bayesian Optimization☆71Updated 2 years ago
- Bayesian optimization☆37Updated 5 years ago