smsharma / hierarchical-inferenceLinks
Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.
☆13Updated 2 years ago
Alternatives and similar repositories for hierarchical-inference
Users that are interested in hierarchical-inference are comparing it to the libraries listed below
Sorting:
- Gaussian Mixture Models in Jax☆20Updated this week
- JAX + Units☆47Updated 2 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated 2 years ago
- Proximal Nested Sampling for high-dimensional Bayesian model selection☆25Updated last year
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆56Updated last year
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Things that make me feel productive☆15Updated 2 years ago
- Exploring how ChatGPT can be used to accelerate research in cosmology.☆12Updated 2 years ago
- Modern normalizing flows in Python. Simple to use and easily extensible.☆11Updated 2 weeks ago
- Lectures on Bayesian statistics and information theory☆31Updated last month
- An experiment: emcee implemented in JAX☆25Updated 3 years ago
- Probabilistic modeling of tabular data with normalizing flows.☆57Updated 3 weeks ago
- Probing the nature of dark matter by inferring the dark matter particle mass with machine learning and stellar streams.☆18Updated 2 years ago
- Special functions in Jax☆14Updated 4 months ago
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆32Updated this week
- Fast, lightweight and parallelised simulation-based inference in JAX.☆18Updated last week
- Minimal JAX implementation of k-nearest neighbors using a k-d tree.☆45Updated 3 weeks ago
- Differentiable cosmological emulators: the JAX version of CosmoPower☆40Updated 3 weeks ago
- Provides differentiable versions of common HEP operations and objectives.☆24Updated last year
- A Jax wrapper for cudaKDTree☆10Updated last year
- A simple implementation of Hamiltonian Monte Carlo in JAX.☆20Updated last year
- Website☆11Updated this week
- Investigating the information content in the cosmic web through dark matter halo graphs. Arxiv paper: https://arxiv.org/abs/2207.05202☆13Updated last year
- My CV☆37Updated this week
- Tutorial Code for MLHEP pyprob☆18Updated 2 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Using neural networks to extract sufficient statistics from data by maximising the Fisher information☆32Updated 2 years ago
- Conditional density estimation with neural networks☆31Updated 5 months ago
- Gravitational-wave data analysis tools in Jax☆71Updated last week
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated 2 months ago