dkirkby / MachineLearningStatistics
Machine learning and statistics for physicists
☆97Updated 4 years ago
Alternatives and similar repositories for MachineLearningStatistics:
Users that are interested in MachineLearningStatistics are comparing it to the libraries listed below
- Course notes and resources for Stanford University graduate course PHYS366: Statistical Methods in Astrophysics☆117Updated 5 months ago
- HEP/Astroparticle/Astrophysics/Cosmology open source packages. Community effort. Physics people, unite!☆127Updated 3 months ago
- Machine Learning for Physics and Astronomy☆61Updated 2 years ago
- Material for the "ML for the Sciences" meeting at Princeton University☆55Updated 5 years ago
- Course materials for Fundamentals of Data Science☆36Updated 4 years ago
- Lecture and project materials for MACSS2021☆11Updated 3 years ago
- A unified framework for stochastic sampling packages and gravitational-wave inference in Python.☆87Updated this week
- ☆80Updated 2 years ago
- MCMC sample analysis, kernel densities, plotting, and GUI☆163Updated last week
- A short introduction to working with gravitational wave data.☆32Updated last year
- ☆67Updated 9 months ago
- Notebooks for PHYS 440/540 at Drexel University☆17Updated 5 months ago
- Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.☆199Updated 4 months ago
- Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University, Fall 2018☆10Updated 6 years ago
- ☆31Updated 2 years ago
- Analysis kit for large-scale structure datasets, the massively parallel way☆111Updated 2 years ago
- Software written to analyze the output of the CAMEL simulations.☆41Updated last week
- Public repository for the Computational Astrophysics course at the Observatorio Astronómico Nacional.☆39Updated this week
- Tutorials for GW Open Data Workshop, 2022☆65Updated 2 years ago
- Materials for the Mini Summer School in Machine Learning x Astro taught at CCA in Summer '19☆17Updated 5 years ago
- Github repository for "Big Data in Astrophysics" - Spring 2021☆14Updated 4 years ago
- ASTR 598: Astro-statistics and Machine Learning☆41Updated 7 years ago
- Particle Mesh in Python☆27Updated 4 months ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- PyAutoFit: Classy Probabilistic Programming☆64Updated this week
- ☆20Updated last year
- Materials for the 2015 Astro Hack Week☆34Updated 9 years ago
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated last year
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆41Updated last year
- Materials for a mini-course on code development and packaging☆23Updated 3 months ago