kazewong / flowMC
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
☆233Updated last week
Alternatives and similar repositories for flowMC:
Users that are interested in flowMC are comparing it to the libraries listed below
- ☆158Updated 2 months ago
- Probabilistic Programming and Nested sampling in JAX☆179Updated 3 weeks ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Community-sourced list of papers and resources on neural simulation-based inference.☆116Updated 2 weeks ago
- A differentiable cosmology library in JAX☆196Updated 4 months ago
- Interpolation and function approximation with JAX☆177Updated 2 weeks ago
- The tiniest of Gaussian Process libraries☆307Updated this week
- Gravitational-wave data analysis tools in Jax☆68Updated this week
- Numerical quadrature with JAX☆58Updated this week
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated last week
- Likelihood-free AMortized Posterior Estimation with PyTorch☆127Updated 8 months ago
- Gaussian processes in JAX and Flax.☆507Updated 3 weeks ago
- S2FFT: Differentiable and accelerated spherical transforms☆150Updated this week
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆67Updated 2 weeks ago
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆103Updated last year
- Simulation-based inference benchmark☆96Updated 3 months ago
- Simulation-based inference in JAX☆31Updated 3 weeks ago
- Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/☆410Updated 2 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 2 weeks ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆91Updated this week
- Generative models with JAX.☆17Updated 4 months ago
- Unitful Quantities in JAX☆37Updated this week
- State of the art inference for your bayesian models.☆213Updated last week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆65Updated last month
- Fully and Partially Bayesian Neural Nets☆68Updated last week
- Multiple dispatch over abstract array types in JAX.☆120Updated last week
- Code for Gaussian Score Matching Variational Inference☆33Updated 2 months ago
- Add a tqdm progress bar to your JAX scans and loops.☆108Updated this week
- Minimal Implementation of Bayesian Optimization in JAX☆95Updated 2 weeks ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year