sods / paramzLinks
Parameterization Framework for parameterized model creation and handling.
☆49Updated 2 weeks ago
Alternatives and similar repositories for paramz
Users that are interested in paramz are comparing it to the libraries listed below
Sorting:
- Additional kernels that can be used with scikit-learn's Gaussian Process module☆82Updated last year
- 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
- Reference implementation of Optimistic Expected Improvement.☆49Updated 5 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Bayesian optimization in high-dimensions via random embedding.☆114Updated 11 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Benchmark suite of test functions suitable for evaluating black-box optimization strategies☆51Updated last month
- Code for NIPS 2015 "Gradient-Free Hamiltonian Monte Carlo via Effecient Kernel Exponential Families"☆25Updated 7 years ago
- Sequential Monte Carlo working on top of pymc☆50Updated 6 years ago
- Code for Kernel Adaptive Metropolis-Hastings☆33Updated 10 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Collection of jupyter notebooks for demonstrating software.☆167Updated 2 years ago
- Bayesian optimization☆38Updated 5 years ago
- Deep Gaussian Processes in matlab☆93Updated 3 years ago
- ☆67Updated 7 years ago
- Disciplined convex stochastic programming. For the cvxstoc home page, please see:☆32Updated 4 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 9 years ago
- Code for AutoGP☆27Updated 5 years ago
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Fast Function Extraction☆84Updated last week
- Gaussian processes with arbitrary derivative constraints and predictions.☆45Updated 5 years ago
- Structurally efficient multi-output linearly coregionalized Gaussian Processes: it's tricky, tricky, tricky, tricky, tricky.☆38Updated 2 years ago
- Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.☆249Updated 11 months ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- pyGPs is a library containing an object-oriented python implementation for Gaussian Process (GP) regression and classification.☆216Updated 6 years ago
- Implementation of an algorithm for Markov chain Monte Carlo with data subsampling☆32Updated 9 years ago
- A collection of Gaussian process models☆30Updated 7 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆33Updated 9 years ago
- active learning + reusable workflows + likelihood free inference☆61Updated 8 years ago
- Code to produce demos of Metroplis-Hastings and Hamiltonian Monte Carlo samplers.☆36Updated 11 years ago