justinalsing / pydelfi
Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations
☆106Updated last year
Related projects ⓘ
Alternatives and complementary repositories for pydelfi
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆29Updated 2 years ago
- nessai: Nested Sampling with Artificial Intelligence☆36Updated last week
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆30Updated last year
- Gravitational-wave data analysis tools in Jax☆59Updated 3 weeks ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆31Updated 5 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆14Updated 2 years ago
- PyAutoFit: Classy Probabilistic Programming☆60Updated this week
- Likelihood-Free Inference for Gravitational Waves☆37Updated 3 years ago
- A system for scientific simulation-based inference at scale.☆161Updated 7 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆56Updated this week
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- A differentiable cosmology library in JAX☆178Updated 3 months ago
- Normalising flows implemented using nflows☆26Updated last month
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆21Updated 2 weeks ago
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 5 months ago
- Probabilistic Programming and Nested sampling in JAX☆147Updated last week
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆71Updated this week
- Coverage tests to check the quality of your posterior estimators.☆27Updated 3 months ago
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆44Updated last month
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆90Updated 3 weeks ago
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆34Updated 5 months ago
- Robust ML in Astro☆46Updated this week
- Meeting repo for likelihood free inference meeting☆15Updated 2 years ago
- Neural network nested and MCMC sampling☆20Updated 3 years ago
- An experiment: emcee implemented in JAX☆25Updated 2 years ago
- Differentiable Gravitational Waveforms with JAX☆54Updated 3 months ago
- Parallel tempering MCMC sampler package written in Python☆50Updated 2 months ago
- MultiNest is a Bayesian inference tool which calculates the evidence and explores the parameter space which may contain multiple posterio…☆65Updated 2 years ago
- ☆16Updated 3 years ago
- Fast & scalable Gaussian Processes in one dimension☆70Updated this week