Alternatives and similar repositories for DTWpy

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

• viveksck / changepoint
  Change Point detection python
  ☆40Updated 2 years ago
• NICTA / revrand
  A library of scalable Bayesian generalised linear models with fancy features
  ☆60Updated 7 years ago
• dillonalaird / pysvihmm
  Implementation of stochastic variational inference for Bayesian hidden Markov models.
  ☆69Updated 7 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 7 years ago
• halachkin / cdtw
  Dynamic Time Warping in C and Python
  ☆36Updated 7 years ago
• pyspace / pyspace
  Signal Processing And Classification Environment in Python
  ☆55Updated 7 years ago
• jameshensman / VFF
  Variational Fourier Features
  ☆85Updated 4 years ago
• junpenglao / Bayesian-Cognitive-Modeling-in-Pymc3
  PyMC3 codes of Lee and Wagenmakers' Bayesian Cognitive Modeling - A Pratical Course
  ☆96Updated 7 years ago
• bhargavvader / pycobra
  python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.
  ☆125Updated 5 years ago
• aatapa / RLScore
  ☆68Updated last year
• danielhanchen / sciblox
  sciblox - Easier Data Science and Machine Learning
  ☆50Updated 8 years ago
• LucaAmbrogioni / GP-CaKe-project
  Bayesian Effective Connectivity
  ☆54Updated 6 years ago
• andymiller / pydtw
  A python/numpy/cython implementation of dynamic time warping (DTW) for aligning time series.
  ☆26Updated 6 years ago
• stephantul / somber
  Recursive Self-Organizing Map/Neural Gas.
  ☆52Updated 2 years ago
• cangermueller / vbmfa
  Variational Bayesian Mixture of Factor Analysers
  ☆24Updated 10 years ago
• hstrey / Hidden-Markov-Models-pymc3
  Implementation of Hidden Markov Models in pymc3
  ☆61Updated 8 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆86Updated 9 years ago
• powerscorinne / GLRM
  ☆98Updated 7 years ago
• evan176 / TimeSeriesVectorization
  Some time series vectorization methods which could give better representation for classification / clustering or other analysis.
  ☆11Updated 9 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 6 years ago
• dolaameng / pysax
  python implementation of SAX (Symbolic Aggregate Approximation) for time series data
  ☆45Updated 10 years ago
• yaringal / CLGP
  Categorical Latent Gaussian Process
  ☆16Updated 10 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 6 years ago
• franrruiz / p-emb
  Exponential family embeddings (Poisson or Bernoulli) for discrete data
  ☆32Updated 6 years ago
• adtech-labs / bayes_logistic
  Bayesian Logistic Regression using Laplace approximations to the posterior.
  ☆48Updated 8 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• kswersky / k-stochastic-neighbor
  Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
  ☆27Updated 9 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• alvarouc / polyssifier
  run a multitude of classifiers on you data and get an AUC report
  ☆68Updated last year