duvenaud / phd-thesisLinks
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
Alternatives and similar repositories for phd-thesis
Users that are interested in phd-thesis are comparing it to the libraries listed below
Sorting:
- ☆237Updated 8 years ago
- Kernel structure discovery research code - likely to be unstable☆191Updated 10 years ago
- Deep Gaussian Processes in Python☆234Updated 4 years ago
- Deep Gaussian Processes with Doubly Stochastic Variational Inference☆150Updated 6 years ago
- A tutorial about Gaussian process regression☆188Updated 4 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated last year
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Provides various extensions to the GPML toolbox for Gaussian process inference in MATLAB.☆33Updated 8 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Manifold Markov chain Monte Carlo methods in Python☆232Updated last month
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- Bayesian optimization☆38Updated 5 years ago
- Bayesian Optimization using GPflow☆272Updated 4 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆405Updated last year
- ELFI - Engine for Likelihood-Free Inference☆277Updated 2 months ago
- Collection of jupyter notebooks for demonstrating software.☆168Updated 2 years ago
- Experiment code for Stochastic Gradient Hamiltonian Monte Carlo☆106Updated 7 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 6 years ago
- Convolutional Gaussian processes based on GPflow.☆95Updated 7 years ago
- A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.☆270Updated 5 years ago
- Just a little MCMC☆227Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 12 years ago
- Structured Inference Networks for Nonlinear State Space Models☆273Updated 7 years ago
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆49Updated 4 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆127Updated 9 months ago
- Matlab implementations of Gaussian processes and other machine learning tools.☆140Updated 8 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Variational Fourier Features☆86Updated 4 years ago