pnnl / DDKSLinks
A high-dimensional Kolmogorov-Smirnov distance for comparing high dimensional distributions
☆27Updated 3 years ago
Alternatives and similar repositories for DDKS
Users that are interested in DDKS are comparing it to the libraries listed below
Sorting:
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆79Updated 6 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated 3 weeks ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆139Updated this week
- Conditional density estimation with neural networks☆35Updated 11 months ago
- Manifold-learning flows (ℳ-flows)☆231Updated 5 years ago
- Lightweight MCMC sampling for PyTorch Models aka My Corona Project☆52Updated 4 months ago
- A framework for composing Neural Processes in Python☆89Updated last year
- Diagnostics for Conditional Density Estimators and Bayesian Inference Algorithms☆15Updated 3 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Simulation-based inference benchmark☆108Updated 11 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆75Updated 3 years ago
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Implemenations of PAE in pytorch☆12Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 3 months ago
- Bayesian Uncertainty Quantification by Deep Generative Model☆19Updated 5 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆43Updated 7 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.☆153Updated 3 years ago
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- A Python package for intrinsic dimension estimation☆95Updated 3 months ago
- Normalizing Flows using JAX☆86Updated 2 years ago
- A system for scientific simulation-based inference at scale.