Alternatives and similar repositories for timeseries:

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

• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 7 years ago
• stober / dtw
  Dynamic Time Warping in Python
  ☆28Updated 13 years ago
• mike-perdide / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆47Updated 14 years ago
• mewwts / feng
  feng - feature engineering for machine-learning champions
  ☆27Updated 8 years ago
• emanuele / kaggle_ops
  My best submission to the Kaggle competition "Online Product Sales", ranked 21th over 366 teams.
  ☆29Updated 12 years ago
• dclambert / pyensemble
  An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn
  ☆150Updated 4 years ago
• ChenglongChen / Kaggle_The_Hunt_for_Prohibited_Content
  4th Place Solution for The Hunt for Prohibited Content Competition on Kaggle (http://www.kaggle.com/c/avito-prohibited-content)
  ☆28Updated 10 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 10 years ago
• abhishekkrthakur / automl_gpu
  ☆25Updated 9 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 5 years ago
• gregversteeg / discrete_sieve
  The information sieve for discrete variables.
  ☆36Updated 8 years ago
• deliarusu / wikipedia-correlation
  Estimating stock price correlations using Wikipedia
  ☆25Updated 8 years ago
• weaponsjtu / Kaggle_xBle
  A Swiss Army Knife for Machine Learning Practice, cross validation, model selection, ensemble selection, stacking
  ☆16Updated 8 years ago
• glouppe / kaggle-marinexplore
  Code for the Kaggle Marinexplore challenge
  ☆17Updated 12 years ago
• benb111 / outlier-detect
  Code that implements the novel outlier detection algorithms from my Ph.D. dissertation.
  ☆21Updated 3 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 8 years ago
• pprett / pydata-gbrt-tutorial
  IPython notebook for PyData SF 2014 tutorial: "Gradient Boosted Regression Trees in scikit-learn"
  ☆63Updated 7 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• CarsonScott / Competitive-Feature-Learning
  Online feature-extraction and classification algorithm that learns representations of input patterns.
  ☆31Updated 8 years ago
• amaas / lblDm-demo
  Log-Bilinear Document Model
  ☆18Updated 13 years ago
• mpearmain / homesite
  Homesite Kaggle
  ☆30Updated 9 years ago
• RobeDM / LIBIRWLS
  A parallel IRWLS library to solve SVMs and budgeted SVMs
  ☆59Updated 7 years ago
• jMotif / sax-vsm_classic
  SAX-VSM public release, visit our website for detail
  ☆92Updated 3 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• nikitasrivatsan / LatentDirichletAllocation
  ☆20Updated 3 years ago