Alternatives and similar repositories for K-Nearest-Neighbors-with-Dynamic-Time-Warping

Users that are interested in K-Nearest-Neighbors-with-Dynamic-Time-Warping are comparing it to the libraries listed below

• alexminnaar / time-series-classification-and-clustering
  Time series classification and clustering code written in Python.
  ☆796Updated 4 years ago
• davidhallac / TICC
  ☆461Updated 4 years ago
• wannesm / dtaidistance
  Time series distances: Dynamic Time Warping (fast DTW implementation in C)
  ☆1,167Updated 3 months ago
• cauchyturing / UCR_Time_Series_Classification_Deep_Learning_Baseline
  Fully Convlutional Neural Networks for state-of-the-art time series classification
  ☆699Updated 5 years ago
• fpetitjean / DBA
  DBA: Averaging for Dynamic Time Warping
  ☆189Updated 4 years ago
• patrickzib / SFA
  Scalable Time Series Data Analytics
  ☆316Updated last month
• dmbee / seglearn
  Python module for machine learning time series:
  ☆576Updated 2 years ago
• pollen-robotics / dtw
  DTW (Dynamic Time Warping) python module
  ☆1,198Updated last year
• aurotripathy / lstm-anomaly-detect
  Example code for neural-network-based anomaly detection of time-series data (uses LSTM)
  ☆179Updated 7 years ago
• titu1994 / MLSTM-FCN
  Multivariate LSTM Fully Convolutional Networks for Time Series Classification
  ☆507Updated 4 years ago
• RobRomijnders / LSTM_tsc
  An LSTM for time-series classification
  ☆411Updated 7 years ago
• klon / ucrdtw
  Python extension for UCR Suite highly optimized subsequence search using Dynamic Time Warping (DTW)
  ☆120Updated 6 years ago
• NickFoubert / simple-segment
  Piecewise linear representation of 1D data in Python
  ☆90Updated 8 years ago
• slaypni / fastdtw
  A Python implementation of FastDTW
  ☆815Updated 2 years ago
• seninp / saxpy
  Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
  ☆211Updated 2 years ago
• hfawaz / bigdata18
  Transfer learning for time series classification
  ☆379Updated 6 years ago
• terryum / Data-Augmentation-For-Wearable-Sensor-Data
  A sample code of data augmentation methods for wearable sensor data (time-series data)
  ☆406Updated 4 years ago
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆281Updated 4 years ago
• welch / seasonal
  Robustly estimate trend and periodicity in a timeseries.
  ☆375Updated 7 years ago
• akash13singh / lstm_anomaly_thesis
  Anomaly detection for temporal data using LSTMs
  ☆225Updated 3 years ago
• RobRomijnders / AE_ts
  Auto encoder for time series
  ☆438Updated 5 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆485Updated 8 months ago
• NLeSC / mcfly
  A deep learning tool for time series classification and regression
  ☆364Updated 9 months ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 10 months ago
• chen0040 / keras-anomaly-detection
  Anomaly detection implemented in Keras
  ☆376Updated 7 years ago
• hildensia / bayesian_changepoint_detection
  Methods to get the probability of a changepoint in a time series.
  ☆715Updated last year
• houshd / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆141Updated 6 years ago
• titu1994 / LSTM-FCN
  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
  ☆782Updated 6 years ago
• jrmontag / STLDecompose
  A Python implementation of Seasonal and Trend decomposition using Loess (STL) for time series data.
  ☆187Updated 6 years ago
• STRCWearlab / DeepConvLSTM
  Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
  ☆277Updated 7 years ago