Alternatives and similar repositories for dtw

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

• maxpumperla / neuralforecast
  Time Series Prediction: A Non Linear Approach with Neural Networks
  ☆33Updated 9 years ago
• chriso / timeseries
  Time series analysis
  ☆40Updated 10 years ago
• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 10 years ago
• lmjohns3 / rbm
  Restricted Boltzmann Machines
  ☆91Updated 10 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
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 8 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 9 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 11 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• djsutherland / skl-groups
  scikit-learn addon to operate on set/"group"-based features
  ☆41Updated 9 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• mila-iqia / picklable-itertools
  itertools. But picklable.
  ☆37Updated 10 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆25Updated 9 years ago
• erlendd / optomatic
  Efficient distributed hyperparameter search library written in Python.
  ☆74Updated 7 years ago
• gwulfs / Bastien-Theano-Workshop
  ☆44Updated 10 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 10 years ago
• alkant / cpm
  Convex Polytope Machine
  ☆25Updated 10 years ago
• auroraxie / Kaggle-NDSB
  doc and model for NDSB
  ☆31Updated 10 years ago
• dusano / DeepLearning
  Python implementation of UFLDL tutorial code
  ☆24Updated 12 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 9 years ago
• kakauandme / TensorFlowMNIST
  Various neural networks on MNIST data using TensorFlow library
  ☆16Updated 9 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• instagibbs / FactorizationMachine
  ☆36Updated 10 years ago
• farizrahman4u / RNN-EM
  Recurrent Neural Network with External Memory in Keras
  ☆37Updated 9 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆49Updated 14 years ago
• vene / pyowl
  Ordered Weighted L1 regularization for classification and regression in Python
  ☆52Updated 7 years ago