phuijse / P4JLinks
Periodic time series analysis tools based on information theory
☆55Updated last year
Alternatives and similar repositories for P4J
Users that are interested in P4J are comparing it to the libraries listed below
Sorting:
- Source for my paper, Understanding the Lomb-Scargle Periodogram☆86Updated 4 years ago
- MCMC package for Bayesian data analysis☆59Updated 8 years ago
- feATURE eXTRACTOR FOR tIME sERIES☆53Updated last month
- Automagically remove trends from time-series data☆161Updated 3 years ago
- a data-driven method for determining stellar parameters and abundances from stellar spectra☆43Updated 7 years ago
- Combines Bayesian analyses from many datasets.☆23Updated last year
- MCMC Sampler for Performing Bayesian Inference on Continuous Time Autoregressive Models.☆41Updated last year
- K2 systematics correction using Gaussian processes☆19Updated last year
- Tools for Flexible Spectroscopic Inference☆74Updated 2 years ago
- Automated Classification of Periodic Variable Stars Using Machine Learning☆44Updated 4 years ago
- Generalised Lomb-Scargle periodogram☆37Updated 9 months ago
- For characterizing flares with convolutional neural networks☆27Updated 7 months ago
- Python modules for light curve work and variable star astronomy☆59Updated last year
- ASTR 598: Astro-statistics and Machine Learning☆39Updated 7 years ago
- Emmanoulopoulos style lightcurve simulation☆40Updated 8 years ago
- VARTOOLS astronomical time series analysis program☆33Updated 4 months ago
- Tools for data-driven spectra models with Gaussian processes. Pronounced "soap."☆31Updated 7 years ago
- Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.☆75Updated 2 years ago
- PyAutoFit: Classy Probabilistic Programming☆63Updated this week
- Utilities for astronomical spectral energy distributions☆34Updated 2 weeks ago
- hyperspectral galaxy modeling and deblending☆56Updated last year
- A python package implementing the MARGINAL LIKELIHOODS FROM MONTE CARLO MARKOV CHAINS algorithm described in Heavens et. al. (2017)☆43Updated 2 years ago
- Gaussian mixture model for incomplete (missing or truncated) and noisy data☆102Updated 3 years ago
- Python module for performing linear regression for data with measurement errors and intrinsic scatter☆61Updated last year
- Python library for fast time-series analysis on CUDA GPUs☆30Updated this week
- Pythonic stellar model grid access; easy MCMC fitting of stellar properties☆130Updated last year
- Weighted Wavelet Z-Transform Code for Python☆39Updated 4 years ago
- NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.☆53Updated 4 years ago
- Artificial Neural-Net compression and fitting of synthetic spectral grids.☆20Updated last month
- JetSeT a framework for self-consistent modeling and fitting of astrophysical relativistic jets☆37Updated last week