kazewong / flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
☆223Updated this week
Alternatives and similar repositories for flowMC:
Users that are interested in flowMC are comparing it to the libraries listed below
- ☆150Updated 2 weeks ago
- Interpolation and function approximation with JAX☆163Updated last week
- A system for scientific simulation-based inference at scale.☆163Updated 11 months ago
- Probabilistic Programming and Nested sampling in JAX☆171Updated 3 months ago
- Community-sourced list of papers and resources on neural simulation-based inference.☆110Updated last month
- MCHMC: sampler from an arbitrary differentiable distribution☆71Updated 2 weeks ago
- Numerical quadrature with JAX☆53Updated last week
- A differentiable cosmology library in JAX☆193Updated 2 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆125Updated 6 months ago
- The tiniest of Gaussian Process libraries☆304Updated 2 weeks ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆66Updated 8 months ago
- Simulation-based inference benchmark☆96Updated last month
- Gravitational-wave data analysis tools in Jax☆66Updated last week
- Simulation-based inference in JAX☆31Updated last month
- Generative models with JAX.☆17Updated 2 months ago
- Gaussian processes in JAX.☆486Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆101Updated last year
- Differentiable and accelerated spherical transforms with JAX☆146Updated this week
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆89Updated 2 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated last month
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆59Updated 9 months ago
- State of the art inference for your bayesian models.☆204Updated 3 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated last month
- ☆24Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- nessai: Nested Sampling with Artificial Intelligence☆38Updated 2 weeks ago
- Add a tqdm progress bar to your JAX scans and loops.☆103Updated 4 months ago
- Code for Gaussian Score Matching Variational Inference☆32Updated 3 weeks ago
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated last month
- Fully and Partially Bayesian Neural Nets☆64Updated last week