montefiore-institute / balanced-nreLinks
Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".
☆14Updated 3 years ago
Alternatives and similar repositories for balanced-nre
Users that are interested in balanced-nre are comparing it to the libraries listed below
Sorting:
- ☆30Updated 2 years ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆19Updated 2 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated this week
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Sliced Iterative Generator (SIG) & Gaussianizing Iterative Slicing (GIS)☆37Updated 2 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 5 years ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Things that make me feel productive☆15Updated 3 years ago
- A pytorch version of hamiltonian monte carlo☆15Updated 6 years ago
- Normalizing Flows using JAX☆85Updated 2 years ago
- Gradient Based Nested Sampling☆20Updated last year
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Gaussian Mixture Models in Jax☆23Updated 4 months ago
- Demonstration of MomentNetworks for high-dimensional probability density estimation (LFI)☆15Updated 3 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Website☆12Updated last week
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated last month
- Stainless neural networks in JAX☆34Updated 3 months ago
- ☆52Updated 2 years ago
- Normalizing Flows with a resampled base distribution☆47Updated 3 years ago
- Conditional density estimation with neural networks☆35Updated 10 months ago
- Deep learning for gravitational potentials, based on well-mixed tracers in phase space.☆11Updated last month
- My CV☆38Updated this week
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆110Updated 2 years ago
- Special functions in Jax☆15Updated 9 months ago
- Gravitational-wave data analysis tools in Jax☆77Updated 3 months ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 4 months ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 3 years ago