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
☆10Updated last year
Alternatives and similar repositories for mmdfuse
Users that are interested in mmdfuse are comparing it to the libraries listed below
Sorting:
- Mutual information estimators and benchmark☆51Updated 7 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆41Updated this week
- Algorithms for computations on random manifolds made easier☆92Updated last year
- 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☆267Updated 3 weeks ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Updated 2 years ago
- ☆23Updated last year
- Code for our paper: Online Variational Filtering and Parameter Learning☆18Updated 3 years ago
- Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead☆73Updated 5 years ago
- ☆13Updated 6 months ago
- Some methods for comparing network representations in deep learning and neuroscience.☆139Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆36Updated 4 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆24Updated 2 years ago
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆70Updated 2 months ago
- ☆21Updated last year
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 3 months ago
- IVON optimizer for neural networks based on variational learning.☆70Updated 9 months ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Light-weighted code for Orthogonal Additive Gaussian Processes☆43Updated last year
- Simulation-based inference benchmark☆101Updated 7 months ago
- Bayesian active learning with EPIG data acquisition☆34Updated 4 months ago
- Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille☆89Updated 6 months ago
- Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances☆47Updated 2 years ago
- ☆18Updated 3 months ago
- Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.☆108Updated this week
- A community repository for benchmarking Bayesian methods☆110Updated 3 years ago
- ☆26Updated 7 months ago
- Codes for ICLR 21 paper: Neural Approximate Sufficient Statistics for Implicit Models☆20Updated 3 years ago