tummfm / jax-sgmcLinks
Stochastic Gradient MCMC for Jax
☆18Updated 7 months ago
Alternatives and similar repositories for jax-sgmc
Users that are interested in jax-sgmc are comparing it to the libraries listed below
Sorting:
- Fully and Partially Bayesian Neural Nets☆80Updated 8 months ago
- Annotated implementations of equivariant (graph) neural networks in Jax: EGNN, SEGNN, NequIP.☆40Updated 10 months ago
- ☆205Updated 2 months ago
- ☆14Updated 2 years ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆254Updated 2 months ago
- jax library for E3 Equivariant Neural Networks☆221Updated 4 months ago
- Simulation-based inference in JAX☆42Updated last month
- Matrix-free linear algebra in JAX.☆153Updated last month
- Gaussian Processes for Experimental Sciences☆231Updated 6 months ago
- E(n) Equivariant GNN in jax☆14Updated 2 years ago
- E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.☆110Updated 9 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆139Updated last week
- Implementation of Forward Laplacian algorithm in JAX☆93Updated last month
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated 2 years ago
- Gradient Based Nested Sampling☆20Updated last year
- ☆22Updated 2 years ago
- Implementation of various equivariant models in JAX☆12Updated last year
- Things that make me feel productive☆15Updated 3 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆75Updated last month
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆121Updated 3 weeks ago
- Simulation-based inference benchmark☆108Updated 11 months ago
- 🏍️ - JAX-based framework to model biological systems☆17Updated 3 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Automatic Functional Differentiation in JAX☆81Updated 3 months ago
- Stainless neural networks in JAX☆34Updated last month
- Code for Gaussian Score Matching Variational Inference☆35Updated 10 months ago
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆52Updated 5 months ago
- Minimal Implementation of Bayesian Optimization in JAX☆101Updated 8 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆132Updated last year
- ☆10Updated 2 years ago