jeremiecoullon / SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
☆101Updated last year
Alternatives and similar repositories for SGMCMCJax:
Users that are interested in SGMCMCJax are comparing it to the libraries listed below
- Normalizing Flows using JAX☆82Updated last year
- ☆144Updated this week
- A generic interface for linear algebra backends☆71Updated 8 months ago
- Simulation-based inference benchmark☆95Updated last month
- Exponential families for JAX☆63Updated this week
- State of the art inference for your bayesian models.☆200Updated 2 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆123Updated 6 months ago
- Code for Gaussian Score Matching Variational Inference☆32Updated last week
- ☆49Updated 2 years ago
- Conditional density estimation with neural networks☆30Updated last month
- Minimal Implementation of Bayesian Optimization in JAX☆88Updated last month
- Documentation:☆119Updated last year
- Add a tqdm progress bar to your JAX scans and loops.☆103Updated 4 months ago
- Tutorials and sampling algorithm comparisons☆70Updated this week
- Inference Combinators in JAX☆46Updated 4 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 3 weeks ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Deep GPs built on top of TensorFlow/Keras and GPflow☆124Updated 4 months ago
- Probabilistic Programming and Nested sampling in JAX☆169Updated 2 months ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆98Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆105Updated last month
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆232Updated last year
- Stencil computations in JAX☆70Updated last year
- A dead simple Python package for creating custom JAX pytree objects☆63Updated 3 months ago
- Matrix-free linear algebra in JAX.☆115Updated last month
- ☆15Updated 3 years ago
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- The tiniest of Gaussian Process libraries☆303Updated 2 weeks ago
- Generative models with JAX.☆17Updated 2 months ago