Alternatives and similar repositories for IrregularTimeSeriesAutoencoderPaper

Users that are interested in IrregularTimeSeriesAutoencoderPaper are comparing it to the libraries listed below

• isadoranun / FATS
  ☆75Updated last year
• pmelchior / pygmmis
  Gaussian mixture model for incomplete (missing or truncated) and noisy data
  ☆102Updated 3 years ago
• quatrope / feets
  feATURE eXTRACTOR FOR tIME sERIES
  ☆53Updated this week
• dfm / gp
  A tutorial about Gaussian process regression
  ☆188Updated 4 years ago
• sbailey / empca
  Principal Component Analysis (PCA) for Missing and/or Noisy Data
  ☆81Updated 8 years ago
• sanjibs / bmcmc
  MCMC package for Bayesian data analysis
  ☆59Updated 8 years ago
• kboone / avocado
  Photometric Classification of Astronomical Transients and Variables With Biased Spectroscopic Samples
  ☆90Updated 4 years ago
• jakeret / abcpmc
  Approximate Bayesian Computation Population Monte Carlo
  ☆41Updated 5 years ago
• phuijse / P4J
  Periodic time series analysis tools based on information theory
  ☆55Updated last year
• ireis / PRF
  Probabilistic Random Forest: A machine learning algorithm for noisy datasets
  ☆130Updated last year
• dflemin3 / approxposterior
  A Python package for approximate Bayesian inference and optimization using Gaussian processes
  ☆42Updated last year
• guangtunbenzhu / NonnegMFPy
  Vectorized Nonnegative Matrix Factorization with heteroscedastic uncertainties and missing data
  ☆32Updated last year
• hippke / wotan
  Automagically remove trends from time-series data
  ☆158Updated 3 years ago
• PrincetonUniversity / FastTemplatePeriodogram
  NlogN algorithm for least-squares fitting of periodic templates to noisy, non-equispaced time-series data.
  ☆52Updated 4 years ago
• dfm / celerite
  Scalable 1D Gaussian Processes in C++, Python, and Julia
  ☆185Updated last week
• EliseJ / astroABC
  Approximate Bayesian Computation Sequential Monte Carlo sampler for parameter estimation.
  ☆40Updated 5 years ago
• Gabriel-p / pythonMCMC
  A list of Python-based MCMC & ABC packages
  ☆123Updated 2 months ago
• junpenglao / Planet_Sakaar_Data_Science
  A colourful collection of codes and notebooks, like Planet Sakaar
  ☆55Updated 2 years ago
• kbarbary / nestle
  Pure Python, MIT-licensed implementation of nested sampling algorithms for evaluating Bayesian evidence.
  ☆75Updated 2 years ago
• LSSTDESC / plasticc-kit
  Starter Kit for the Photometric LSST Astronomical Time-series Classification Challenge
  ☆51Updated 2 years ago
• henrysky / astroNN
  Deep Learning for Astronomers with Keras
  ☆201Updated last week
• dfm / tf-tutorial
  A non-traditional TensorFlow tutorial
  ☆48Updated 5 years ago
• RuthAngus / HBM_tutorial
  A tutorial on Hierarchical Bayesian Modelling
  ☆19Updated 5 years ago
• mfouesneau / NUTS
  python version of the No-U-Turn Sampler (NUTS) from Hoffman & Gelman, 2011
  ☆132Updated 4 years ago
• minaskar / zeus
  ⚡️ zeus: Lightning Fast MCMC ⚡️
  ☆239Updated last year
• eth-cscs / abcpy
  ABCpy package
  ☆115Updated last year
• dfm / george
  Fast and flexible Gaussian Process regression in Python
  ☆459Updated this week
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆156Updated 7 years ago
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• wesselb / gpar
  Implementation of the Gaussian Process Autoregressive Regression Model
  ☆67Updated 7 months ago