gpschool / gpss18Links
Gaussian Process and Uncertainty Quantification Summer School 2018
☆31Updated 2 years ago
Alternatives and similar repositories for gpss18
Users that are interested in gpss18 are comparing it to the libraries listed below
Sorting:
- A variational method for fast, approximate inference for stochastic differential equations.☆44Updated 7 years ago
- Repository of models in Pyro☆30Updated last year
- Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"☆26Updated 6 years ago
- ☆64Updated 7 years ago
- Talks from Neil Lawrence☆54Updated last year
- Bayesian Inference and parameter estimation in quant finance.☆43Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Temporally-reweighted Chinese restaurant process mixture models for multivariate time series☆37Updated last year
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Variational Fourier Features☆85Updated 4 years ago
- ☆26Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 4 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Updated 6 years ago
- Code for Randomly Projected Additive Gaussian Processes☆25Updated 5 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆149Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 7 years ago
- Implementation of the Gaussian Process Autoregressive Regression Model☆68Updated 8 months ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Bayesian calibration using Tensorflow Probability☆35Updated 6 years ago
- Collected code and materials from the intensive course preparing for the workshop on Sequential Monte Carlo (SMC) methods at Uppsala Univ…☆21Updated 7 years ago
- Implementation of Hidden Markov Models in pymc3☆62Updated 8 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆34Updated 10 years ago
- Code for "Deep Signature Transforms" (NeurIPS 2019)☆97Updated last year
- Variational inference for hierarchical dynamical systems☆48Updated last year