smsharma / sbi-lecture-mit
Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
☆50Updated last year
Alternatives and similar repositories for sbi-lecture-mit:
Users that are interested in sbi-lecture-mit are comparing it to the libraries listed below
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆12Updated last year
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Gravitational-wave data analysis tools in Jax☆66Updated this week
- Probabilistic modeling of tabular data with normalizing flows.☆55Updated 3 weeks ago
- Simulation-based inference in JAX☆31Updated last week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- A system for scientific simulation-based inference at scale.☆163Updated 11 months ago
- nessai: Nested Sampling with Artificial Intelligence☆38Updated last week
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated 10 months ago
- JAX + Units☆46Updated last month
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆15Updated 11 months ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- ☆16Updated 4 years ago
- Probabilistic Programming and Nested sampling in JAX☆169Updated 2 months ago
- A package to describe amortized (conditional) normalizing-flow PDFs defined jointly on tensor products of manifolds with coverage control…☆42Updated this week
- Community-sourced list of papers and resources on neural simulation-based inference.☆110Updated last month
- Curated list of astronomy/astrophysics code packages using JAX☆37Updated 3 months ago
- A Jax wrapper for cudaKDTree☆10Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆31Updated last year
- Transformer-guided diffusion for galaxy clustering. Code repository associated with https://arxiv.org/abs/2311.17141☆23Updated last year
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆29Updated 2 years ago
- Gradient Based Nested Sampling☆19Updated last year
- PyAutoFit: Classy Probabilistic Programming☆63Updated this week
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated last month
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated 3 weeks ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆36Updated 2 months ago
- An experiment: emcee implemented in JAX☆25Updated 2 years ago
- Differentiable Gravitational Waveforms with JAX☆55Updated 6 months ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆215Updated this week