jeremiecoullon / SGMCMCJax
Lightweight library of stochastic gradient MCMC algorithms written in JAX.
☆96Updated last year
Related projects ⓘ
Alternatives and complementary repositories for SGMCMCJax
- Normalizing Flows using JAX☆82Updated 11 months ago
- ☆107Updated 3 weeks ago
- A generic interface for linear algebra backends☆70Updated 4 months ago
- Exponential families for JAX☆55Updated this week
- Simulation-based inference benchmark☆90Updated 8 months ago
- Conditional density estimation with neural networks☆27Updated 3 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆94Updated 2 months ago
- State of the art inference for your bayesian models.☆176Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆119Updated 3 months ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆95Updated last year
- Code for Gaussian Score Matching Variational Inference☆28Updated last month
- Tutorials and sampling algorithm comparisons☆68Updated this week
- Minimal Implementation of Bayesian Optimization in JAX☆85Updated 6 months ago
- ☆49Updated last year
- Matrix-free linear algebra in JAX.☆106Updated 2 months ago
- Bayesian inference with Python and Jax.☆31Updated last year
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆227Updated 10 months ago
- Probabilistic Programming and Nested sampling in JAX☆147Updated last week
- Robust initialisation of inducing points in sparse variational GP regression models.☆32Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 5 months ago
- Stencil computations in JAX☆66Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 3 years ago
- Documentation:☆120Updated last year
- Deep GPs built on top of TensorFlow/Keras and GPflow☆120Updated last month
- Code for efficiently sampling functions from GP(flow) posteriors☆66Updated 4 years ago
- Inference Combinators in JAX☆44Updated 3 weeks ago
- Add a tqdm progress bar to your JAX scans and loops.☆96Updated 3 weeks ago
- Riemannian Optimization Using JAX☆45Updated last year