antoninschrab / mmdfuseLinks
MMD-FUSE package implementing the MMD-FUSE test proposed in MMD-FUSE: Learning and Combining Kernels for Two-Sample Testing Without Data Splitting by Biggs, Schrab, and Gretton: https://arxiv.org/abs/2306.08777
☆11Updated last year
Alternatives and similar repositories for mmdfuse
Users that are interested in mmdfuse are comparing it to the libraries listed below
Sorting:
- Algorithms for computations on random manifolds made easier☆94Updated 2 years ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆60Updated 3 weeks ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆20Updated 4 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Mutual information estimators and benchmark☆55Updated 2 months ago
- Bayesian active learning with EPIG data acquisition☆35Updated 3 months ago
- Simulation-based inference benchmark☆107Updated 10 months ago
- ☆21Updated last month
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Making your benchmark of optimization algorithms simple and open☆282Updated this week
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆75Updated 5 months ago
- ☆18Updated last year
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆33Updated 4 years ago
- Sequential Neural Likelihood☆42Updated 6 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆147Updated last month
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Code for "Causal autoregressive flows" - AISTATS, 2021☆45Updated 4 years ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆138Updated last month
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆50Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆141Updated last year
- VAEs and nonlinear ICA: a unifying framework☆39Updated 5 years ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- ☆27Updated this week
- Sketched linear operations for PyTorch☆99Updated last month
- ☆155Updated 3 years ago
- ☆13Updated 3 weeks ago
- ☆24Updated 2 years ago