karlnapf / ds3_kernel_testing
Material for the practical of the DS3 course on "Representing and comparing probabilities with kernels"
☆26Updated 6 years ago
Alternatives and similar repositories for ds3_kernel_testing
Users that are interested in ds3_kernel_testing are comparing it to the libraries listed below
Sorting:
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- ☆40Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- Hierarchical Change-Point Detection☆14Updated 6 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Variational Fourier Features☆84Updated 3 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- Code for density estimation with nonparametric cluster shapes.☆39Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)☆65Updated 6 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆31Updated 4 years ago
- PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo.☆52Updated 4 years ago
- ☆12Updated 7 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 9 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆11Updated last year
- Implicit generative models and related stuff based on the MMD, in PyTorch☆16Updated 4 years ago
- Implementation of Stochastic Gradient MCMC algorithms☆41Updated 8 years ago
- my PhD thesis on Bayesian inference☆27Updated 11 years ago
- Non-stationary spectral mixture kernels implemented in GPflow☆28Updated 6 years ago
- python code for kernel methods☆38Updated 6 years ago
- see https://github.com/thangbui/geepee for a faster implementation☆37Updated 7 years ago
- Code repo for "Function-Space Distributions over Kernels"☆31Updated 4 years ago
- Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)☆39Updated 8 years ago
- This packages provides a simple python implementation of Invariant Causal Prediction (ICP)☆13Updated last year
- State space modeling with recurrent neural networks☆45Updated 7 years ago
- Train neural networks to use as SMC and importance sampling proposals☆24Updated 7 years ago