cranmer / stats-ds-bookLinks
http://cranmer.github.io/stats-ds-book
☆73Updated 4 years ago
Alternatives and similar repositories for stats-ds-book
Users that are interested in stats-ds-book are comparing it to the libraries listed below
Sorting:
- A Python toolkit for (simulation-based) inference and the mechanization of science.☆53Updated 3 years ago
- Bibtex for various Python science and machine learning software☆33Updated 2 years ago
- Tutorial Code for MLHEP pyprob☆18Updated 2 years ago
- Upstream optimisation for downstream inference☆70Updated 2 weeks ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated 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
- Gaussian Mixture Models in Jax☆23Updated 2 months ago
- Conditional density estimation with neural networks☆33Updated 8 months ago
- Statistical Rethinking: A Bayesian Course Using Python and NumPyro☆90Updated 4 years ago
- All things Monte Carlo, written in JAX.☆31Updated 2 years ago
- Hierarchical neural implicit inference over event ensembles. Code repository associated with https://arxiv.org/abs/2306.12584.☆13Updated 2 years ago
- Exponential families for JAX☆75Updated 2 weeks ago
- ABCpy package☆116Updated last year
- Jax SSM Library☆49Updated 2 years ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- My CV☆37Updated this week
- Provides differentiable versions of common HEP operations and objectives.☆25Updated 2 years ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Gaussian Process Regression Interactive Javascript Demo☆56Updated 7 years ago
- ⚡️ zeus: Lightning Fast MCMC ⚡️☆239Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A comparison of PPL APIs☆27Updated 6 years ago
- Randomization-based inference in Python☆83Updated last week
- Lectures on Bayesian statistics and information theory☆31Updated 4 months ago
- Probabilistic modeling of tabular data with normalizing flows.☆58Updated last week
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆105Updated last year
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Probabilistic Programming and Nested sampling in JAX☆208Updated last month
- A curated list of resources for learning Gaussian Processes☆41Updated 4 years ago
- Solve ODEs fast, with support for PyMC☆115Updated last year