djsutherland / igmsLinks
Implicit generative models and related stuff based on the MMD, in PyTorch
☆16Updated 4 years ago
Alternatives and similar repositories for igms
Users that are interested in igms are comparing it to the libraries listed below
Sorting:
- Code for Unbiased Implicit Variational Inference (UIVI)☆14Updated 6 years ago
- a deep recurrent model for exchangeable data☆34Updated 4 years ago
- NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.☆67Updated 5 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆63Updated 7 years ago
- Reweighted Expectation Maximization☆29Updated 6 years ago
- ☆28Updated 4 years ago
- Summaries and minimal implementations of ML / statistics research articles.☆39Updated 4 years ago
- NeurIPS 2018. Linear-time model comparison tests.☆18Updated 5 years ago
- Echo Noise Channel for Exact Mutual Information Calculation☆17Updated 4 years ago
- ☆37Updated 5 years ago
- ☆11Updated last year
- Exercises for the Tutorial on Approximate Bayesian Inference at the Data Science Summer School 2018☆22Updated 6 years ago
- Code to compute the Stein discrepancy between a sample distribution and its target☆16Updated 7 years ago
- ☆26Updated 6 years ago
- ☆40Updated 6 years ago
- Code for the Thermodynamic Variational Objective☆26Updated 3 years ago
- Implementation of iterative inference in deep latent variable models☆43Updated 5 years ago
- Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors☆62Updated 5 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning☆33Updated 5 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 7 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Variational Walkback, NIPS'17☆28Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆41Updated 2 years ago
- Stochastic Gradient Riemannian Langevin Dynamics☆33Updated 10 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Dirichlet Process Mixture using PVI, SMC, Variational☆15Updated 11 years ago
- ☆17Updated 7 years ago