pmelchior / pygmmis
Gaussian mixture model for incomplete (missing or truncated) and noisy data
☆98Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for pygmmis
- Kernel Density Estimation and (re)sampling☆58Updated last year
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆76Updated last year
- Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data☆31Updated 10 months ago
- MCMC package for Bayesian data analysis☆58Updated 7 years ago
- Principal Component Analysis (PCA) for Missing and/or Noisy Data☆77Updated 7 years ago
- A Python package for approximate Bayesian inference and optimization using Gaussian processes☆42Updated last year
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆38Updated last month
- python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011☆126Updated 3 years ago
- Periodic time series analysis tools based on information theory☆54Updated 5 months ago
- Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations☆106Updated last year
- Probabilistic Random Forest: A machine learning algorithm for noisy datasets☆120Updated 11 months ago
- feATURE eXTRACTOR FOR tIME sERIES☆53Updated this week
- Unbiased and Consistent Nested Sampling via Sequential Monte Carlo☆14Updated 3 months ago
- Python MCMC Sampler☆33Updated 4 months ago
- Super fast dynamic nested sampling with PolyChord (Python, C++ and Fortran likelihoods).☆22Updated 4 years ago
- PyAutoFit: Classy Probabilistic Programming☆60Updated this week
- A webpage for the scattering transform. To calculate, you just need the folder called "scattering".☆44Updated last month
- GPz 2.0: Heteroscedastic Gaussian processes for uncertain and incomplete data☆45Updated 3 years ago
- ☆65Updated 3 months ago
- Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data☆79Updated this week
- ☆75Updated 9 months ago
- A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.☆23Updated last year
- Some notes about MCMC☆44Updated 6 years ago
- Code to perform multivariate linear regression using Gibbs sampling☆19Updated 2 years ago
- Diffusive Nested Sampling☆63Updated last month
- Automagically remove trends from time-series data☆148Updated 3 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆50Updated 3 years ago
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆38Updated last year
- Source for my paper, Understanding the Lomb-Scargle Periodogram☆79Updated 3 years ago
- A kernel-density-based, embarrassingly parallel ensemble sampler☆34Updated 2 years ago