lzkelley / kalepy
Kernel Density Estimation and (re)sampling
☆59Updated last year
Alternatives and similar repositories for kalepy:
Users that are interested in kalepy are comparing it to the libraries listed below
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- PyAutoFit: Classy Probabilistic Programming☆62Updated this week
- pocoMC: A Python implementation of Preconditioned Monte Carlo for accelerated Bayesian Computation☆96Updated 2 weeks ago
- A Python Toolkit for AGN Time Series Analysis using CARMA models☆18Updated 5 months ago
- Make a sweet giant triangle confusogram (GTC) plot☆34Updated last year
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆108Updated last year
- My CV☆36Updated this week
- Neural network nested and MCMC sampling☆22Updated 3 years ago
- Next generation Bayesian analysis tools for efficient posterior sampling and evidence estimation.☆29Updated 2 years ago
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆38Updated 4 months ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 4 years ago
- Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.☆24Updated last year
- MCMC sample analysis, kernel densities, plotting, and GUI☆156Updated this week
- Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.☆13Updated last week
- ASTR 598: Astro-statistics and Machine Learning☆40Updated 6 years ago
- Souce code for our ARA&A review of Gaussian process regression for astronomical time-series☆30Updated 2 weeks ago
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆49Updated 4 months ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- A Package for Bayesian inference of expensive likelihoods with Gaussian Processes☆24Updated this week
- ☆16Updated 4 years ago
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago
- Machine learning assisted marginal likelihood (Bayesian evidence) estimation for Bayesian model selection☆60Updated 2 weeks ago
- chapters of a book Hogg will never write☆89Updated last month
- Neural Network-Boosted Importance Nested Sampling for Bayesian Statistics☆82Updated 3 weeks ago
- Diffusive Nested Sampling☆68Updated 3 months ago
- Combines Bayesian analyses from many datasets.☆22Updated 9 months ago
- Robust Gaussian Process with Iterative Trimming☆22Updated 3 years ago
- Save matplotlib figures with embedded metadata for reproducibility and profit☆32Updated 4 years ago
- Parallel tempering MCMC sampler package written in Python☆51Updated 5 months ago
- Repository for PHYS T480/580 (Big Data Physics: Methods of Machine Learning) at Drexel University, Fall 2018☆10Updated 6 years ago