pmocz / mcmc-python
Create Your Own Metropolis-Hastings Markov Chain Monte Carlo Algorithm for Bayesian Inference (With Python)
☆41Updated last year
Alternatives and similar repositories for mcmc-python:
Users that are interested in mcmc-python are comparing it to the libraries listed below
- Notebook to go along with a lecture for the MIT course 8.16: Data Science in Physics on neural simulation-based inference.☆55Updated last year
- Gravitational-wave data analysis tools in Jax☆68Updated this week
- Probabilistic programming framework for signal inference algorithms that operate regardless of the underlying grids and their resolutions☆26Updated this week
- Probabilistic Programming and Nested sampling in JAX☆174Updated 2 weeks ago
- Differentiable Gravitational Waveforms with JAX☆56Updated 8 months ago
- Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University, Fall 2018☆10Updated 6 years ago
- A miscellaneous set of helper functions, custom distributions, and other utilities that I find useful when using NumPyro in my work☆24Updated 2 months ago
- PyAutoFit: Classy Probabilistic Programming☆64Updated last week
- Tutorial for the DINGO package to analyze gravitational wave data using NPE☆41Updated 2 months ago
- ☆22Updated 5 years ago
- Machine learning and statistics for physicists☆96Updated 4 years ago
- GWInferno: Gravitational-Wave Hierarchical Inference with NumPyro☆19Updated last week
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆28Updated last week
- Public version of PolyChord: See polychord.co.uk for PolyChordPro☆90Updated last month
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆64Updated 2 weeks ago
- Galactic and Gravitational Dynamics in Python (+ GPU and autodiff)☆38Updated last week
- nessai: Nested Sampling with Artificial Intelligence☆38Updated this week
- Notebooks for PHYS 440/540 at Drexel University☆17Updated 4 months ago
- An open-source JAX-based gravitational-wave population inference toolkit for parametric models☆13Updated this week
- Monte Carlo-based data analysis☆21Updated 2 weeks ago
- This repository contains lecture notes and codes for the course "Computational Methods for Data Science"☆51Updated 4 years ago
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆67Updated this week
- Unitful Quantities in JAX☆35Updated this week
- Curated list of astronomy/astrophysics code packages using JAX☆38Updated 4 months ago
- Simulation-based inference in JAX☆31Updated 2 weeks ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- Gaussian Process Regression Interactive Javascript Demo☆55Updated 6 years ago
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆100Updated 2 months ago
- ASTR 598: Astro-statistics and Machine Learning☆41Updated 7 years ago