mackelab / gatsbiLinks
GATSBI: Generative Adversarial Training for Simulation-Based Inference
☆19Updated 2 years ago
Alternatives and similar repositories for gatsbi
Users that are interested in gatsbi are comparing it to the libraries listed below
Sorting:
- ☆27Updated last year
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last week
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated this week
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Simulation-based inference in JAX☆35Updated 5 months ago
- Gradient Based Nested Sampling☆20Updated last year
- Gaussian Mixture Models in Jax☆23Updated 2 months ago
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Likelihood-free AMortized Posterior Estimation with PyTorch☆131Updated last year
- Repository with the code of "HNPE: Leveraging Global Parameters for Neural Posterior Estimation"☆13Updated last year
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆70Updated 3 months ago
- Gradient-informed particle MCMC methods☆12Updated last year
- Fast, lightweight and parallelised simulation-based inference in JAX.☆19Updated last month
- Provides differentiable versions of common HEP operations and objectives.☆25Updated 2 years ago
- ☆51Updated 2 years ago
- Special functions in Jax☆15Updated 7 months ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- MCHMC: sampler from an arbitrary differentiable distribution☆74Updated 5 months ago
- An experiment: emcee implemented in JAX☆26Updated 3 years ago
- Things that make me feel productive☆15Updated 2 years ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆58Updated last year
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆35Updated this week
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆12Updated last year
- Code for Gaussian Score Matching Variational Inference☆35Updated 7 months ago
- Normalizing Flows using JAX☆84Updated last year
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆26Updated last year