smsharma / sbi-lecture-mitLinks
Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.
☆60Updated 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
Sorting:
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Gravitational-wave data analysis tools in Jax☆74Updated 2 months ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 3 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last month
- JAX-powered Cosmological Particle-Mesh N-body Solver☆55Updated this week
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆70Updated 3 weeks ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- Differentiable Gravitational Waveforms with JAX☆63Updated 2 months ago
- An experiment: emcee implemented in JAX☆26Updated 3 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆19Updated 3 weeks ago
- nessai: Nested Sampling with Artificial Intelligence☆42Updated last month
- GWInferno: Gravitational-Wave Hierarchical Inference with NumPyro☆20Updated 3 months ago
- Curated list of astronomy/astrophysics code packages using JAX☆47Updated last week
- Gradient Based Nested Sampling☆20Updated last year
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 3 years ago
- A JAX package for weak gravitational lensing☆35Updated last year
- A differentiable cosmology library in JAX☆214Updated 4 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- ☆16Updated 4 years ago
- Neural network nested and MCMC sampling☆22Updated 4 years ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆40Updated 4 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Normalizing-flow enhanced sampling package for probabilistic inference in Jax☆251Updated 2 months ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆26Updated last year
- Simulation-based inference in JAX☆37Updated 6 months ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Package for Neural Posterior Estimation and Importance Sampling focused on Astronomical Applications☆39Updated 2 months ago
- My CV☆37Updated this week