vacquaviva / Flatiron_MCMCLinks
This is the material (slides + notebook) used to give the MCMC class in Hogg's Computational Data Analytics class at Flatiron CCA on 3/29.
☆11Updated 5 years ago
Alternatives and similar repositories for Flatiron_MCMC
Users that are interested in Flatiron_MCMC are comparing it to the libraries listed below
Sorting:
- A non-traditional TensorFlow tutorial☆48Updated 5 years ago
- http://cranmer.github.io/stats-ds-book☆73Updated 4 years ago
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆60Updated last year
- Simulation based calibration and generation of synthetic data.☆56Updated last week
- Conditional density estimation with neural networks☆33Updated 9 months ago
- Gaussian processes on graphs and lattices in Stan.☆18Updated 7 months ago
- Bayesian inference and posterior analysis for Python☆46Updated last year
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated 2 years ago
- ☆17Updated 2 years ago
- 🖖 A package to determine whether planetary orbital configurations will live long and prosper☆67Updated last week
- Run Jupyter Lab as a desktop application☆14Updated 5 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Material for dataviz course at university of Bordeaux☆50Updated 3 years ago
- Home for the computational inference reading group.☆17Updated 5 years ago
- A comparison of PPL APIs☆27Updated 6 years ago
- Gaussian Process Model Building Interface☆51Updated 7 months ago
- Lectures on Bayesian statistics and information theory☆31Updated 4 months ago
- Source repository for the online book Exploratory Analysis of Bayesian Models.☆25Updated this week
- Lectures on Quantitative Economics Using JAX☆45Updated 3 weeks ago
- A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.☆57Updated last year
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated last year
- Gravitational-wave data analysis tools in Jax☆74Updated 2 months ago
- Resources for Bayesian Models for Astrophysical Data - Hilbe, de Souza and Ishida, 2016, Cambridge University Press☆50Updated 3 years ago
- Kernel Density Estimation and (re)sampling☆62Updated 2 years ago
- Tutorials and sampling algorithm comparisons☆77Updated this week
- Materials for the Mini Summer School in Machine Learning x Astro taught at CCA in Summer '19☆18Updated 5 years ago
- Markov Chain Monte Carlo Visualization Tools☆25Updated 3 months ago
- A system for scientific simulation-based inference at scale.☆164Updated last year
- Numpyro examples in Python notebooks☆11Updated 5 years ago
- Probabilistic Programming and Nested sampling in JAX☆208Updated 2 months ago