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:
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆57Updated last week
- ☆21Updated 2 weeks ago
- Mutual information estimators and benchmark☆54Updated last month
- Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend☆61Updated last year
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- Bayesian active learning with EPIG data acquisition☆34Updated last month
- Making your benchmark of optimization algorithms simple and open☆273Updated this week
- Algorithms for computations on random manifolds made easier☆94Updated last year
- Sequential Neural Likelihood☆42Updated 6 years ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆91Updated 8 months ago
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆73Updated 4 months ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- ☆155Updated 3 years ago
- Simulation-based inference benchmark☆104Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- ☆19Updated 5 months ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Community-sourced list of papers and resources on neural simulation-based inference.☆134Updated this week
- Agustinus' very opiniated publication-ready plotting library☆69Updated 6 months ago
- ☆24Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Code for the paper: "Independent mechanism analysis, a new concept?"☆24Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- IVON optimizer for neural networks based on variational learning.☆72Updated 11 months ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆37Updated 4 years ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- A framework for composing Neural Processes in Python☆86Updated 10 months ago