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:
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated this week
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 2 months ago
- Conditional density estimation with neural networks☆32Updated 7 months ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Gaussian Mixture Models in Jax☆22Updated last month
- Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".☆14Updated 2 years ago
- Conditional Flow Matching using JAX☆13Updated 2 years ago
- Simulation-based inference in JAX☆32Updated 4 months ago
- ☆27Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆21Updated last year
- ☆52Updated 2 years ago
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated 2 weeks ago
- Gradient Based Nested Sampling☆20Updated last year
- Things that make me feel productive☆15Updated 2 years ago
- JAX + Units☆48Updated last week
- Gradient-informed particle MCMC methods☆12Updated last year
- 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
- Combination of transformers and diffusion models for flexible all-in-one simulation-based inference☆69Updated 2 months ago
- Flow Annealed Importance Sampling Bootstrap (FAB) with JAX.☆11Updated last year
- Code for Gaussian Score Matching Variational Inference☆34Updated 6 months ago
- Simulation-based inference benchmark☆101Updated 7 months ago
- Probabilistic Programming and Nested sampling in JAX☆198Updated last week
- Lectures on Bayesian statistics and information theory☆31Updated 3 months ago
- Normalizing Flows using JAX☆84Updated last year
- MCHMC: sampler from an arbitrary differentiable distribution☆73Updated 3 months ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Provides differentiable versions of common HEP operations and objectives.☆25Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆104Updated last year
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆47Updated last month