montefiore-institute / balanced-nre
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
☆14Updated 2 years ago
Alternatives and similar repositories for balanced-nre:
Users that are interested in balanced-nre are comparing it to the libraries listed below
- ☆24Updated last year
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆36Updated 2 years ago
- Gaussian Mixture Models in Jax☆17Updated 2 months ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆56Updated 3 weeks ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆18Updated last year
- ☆16Updated 4 years ago
- Things that make me feel productive☆14Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Website☆11Updated this week
- My CV☆37Updated this week
- Stainless neural networks in JAX☆34Updated last month
- Likelihood-free AMortized Posterior Estimation with PyTorch☆127Updated 8 months ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆64Updated last week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated 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
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆23Updated last year
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated 3 weeks ago
- Normalizing flow models allowing for a conditioning context, implemented using Jax, Flax, and Distrax.☆19Updated last year
- Lectures on Bayesian statistics and information theory☆31Updated 2 weeks ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Updated 2 years ago
- Gradient Based Nested Sampling☆20Updated last year
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 2 years ago
- Inference of substructure properties in strong lensing systems with machine learning. Code repository associated with https://arxiv.org/a…☆32Updated 5 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated this week
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated 10 months ago
- Simulation-based inference in JAX☆31Updated last week