Alternatives and similar repositories for linvpy

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

• avhn / peakdetect
  Simple peak detection
  ☆60Updated 3 years ago
• shunsukeaihara / pydtw
  Fast Imprementation of Dynamic Time Warping For Python
  ☆45Updated 2 years ago
• hadsed / PyGPML
  Gaussian process regression code.
  ☆25Updated 11 years ago
• griffinfoster / shapelets
  python-based shapelet decomposition package
  ☆27Updated 8 years ago
• statefb / dtwalign
  Comprehensive dynamic time warping module for python
  ☆110Updated 3 years ago
• mikecroucher / nearest_correlation
  Python versions of nearest correlation matrix algorithms
  ☆40Updated 7 years ago
• rlabbe / tutorials
  tutorials that may or may not turn into a book
  ☆50Updated 5 years ago
• jnafzig / KalmanFlow
  A simple Kalman Filter built in TensorFlow
  ☆24Updated 8 years ago
• PythonCharmers / maxentropy
  Maximum entropy and minimum divergence models in Python
  ☆44Updated 2 months ago
• AntoinePassemiers / ArchMM
  A Cython Machine Learning library dedicated to Hidden Markov Models
  ☆35Updated 2 years ago
• tingiskhan / pyfilter
  Particle filtering and sequential parameter inference in Python
  ☆83Updated 2 years ago
• jerkern / pyParticleEst
  Python Library for Particle based estimation methods
  ☆63Updated 7 years ago
• espdev / sgolay2
  Two-dimensional Savitzky-Golay filter
  ☆32Updated 4 years ago
• arokem / lowess
  A Python implementation of the lowess algorithm
  ☆41Updated 5 years ago
• QuantStack / quantstack-talks
  Slides for quantstack talks
  ☆81Updated 2 years ago
• alan-turing-institute / bocpdms
  ☆34Updated 7 years ago
• guillaumelenoir / WAVEPAL
  Frequency and time-frequency analysis for irregularly sampled time series
  ☆25Updated 7 years ago
• Dapid / fast-pycwt
  Fast implementation of some Continuous Wavelet Transforms.
  ☆12Updated 11 years ago
• maziarraissi / ParametricGP
  Parametric Gaussian Process Regression for Big Data
  ☆45Updated 5 years ago
• cavaunpeu / gaussian-processes
  A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.
  ☆16Updated 7 years ago
• justinalsing / dlmmc
  Dynamical linear modeling (DLM) regression code for analysis of atmospheric time-series data.
  ☆25Updated 5 years ago
• cvjena / libmaxdiv
  Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.
  ☆62Updated 4 years ago
• jakevdp / wpca
  Weighted Principal Component Analysis (PCA) in Python
  ☆160Updated 8 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆19Updated 6 years ago
• space-physics / WMM2015
  World Magnetic Model 2015 from Python
  ☆14Updated 4 years ago
• jflamant / bispy
  BiSPy : a python framework for signal processing of bivariate signals
  ☆24Updated last year
• Leo-Simpson / c-lasso
  c-lasso: a Python package for constrained sparse regression and classification
  ☆31Updated 4 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 8 years ago
• rcmorehead / simpleabc
  A Python package for Approximate Bayesian Computation
  ☆38Updated 9 years ago
• qingkaikong / blog
  Contain all the stuff in my blog
  ☆57Updated 7 years ago