NLeSC / mcfly

Related projects ⓘ

Alternatives and complementary repositories for mcfly

• NLeSC / mcfly-tutorial
  tutorial for mcfly repository
  ☆77Updated last year
• FrancisArgnR / Time-series---deep-learning---state-of-the-art
  Scientific time series and deep learning state of the art
  ☆282Updated 4 years ago
• strawlab / pyopy
  Python bindings to interesting matlab libraries for data analysis
  ☆86Updated 8 years ago
• dmbee / seglearn
  Python module for machine learning time series:
  ☆572Updated 2 years ago
• wwrechard / pydlm
  A python library for Bayesian time series modeling
  ☆477Updated 2 months ago
• cesium-ml / cesium
  Machine Learning Time-Series Platform
  ☆671Updated 2 months ago
• scikit-garden / scikit-garden
  A garden for scikit-learn compatible trees
  ☆285Updated 5 months ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆225Updated 7 years ago
• ruipgil / changepy
  Time series changepoint detection
  ☆102Updated 11 months ago
• gm-spacagna / deep-ttf
  Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras
  ☆235Updated 6 years ago
• luke14free / pm-prophet
  GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
  ☆329Updated 4 years ago
• shellshock1911 / Sky-Cast-Capstone
  Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series
  ☆67Updated 6 years ago
• mbinkowski / nntimeseries
  ☆208Updated 6 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆118Updated 6 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆173Updated last year
• target / matrixprofile-ts
  A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile
  ☆734Updated 4 months ago
• amanahuja / change-detection-tutorial
  Tutorial on change detection in time series data
  ☆187Updated 2 years ago
• claesenm / optunity
  optimization routines for hyperparameter tuning
  ☆416Updated 11 months ago
• mpearmain / BayesBoost
  Bayesian Optimization using xgboost and sklearn API
  ☆224Updated 8 years ago
• welch / seasonal
  Robustly estimate trend and periodicity in a timeseries.
  ☆375Updated 6 years ago
• jmcarpenter2 / parfit
  A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.
  ☆198Updated 9 months ago
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆126Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆458Updated 5 months ago
• zygmuntz / hyperband
  Tuning hyperparams fast with Hyperband
  ☆593Updated 6 years ago
• mcyeh / mstamp
  ☆37Updated 5 years ago
• tcassou / causal_impact
  Python package for causal inference using Bayesian structural time-series models.
  ☆236Updated 4 years ago
• CamDavidsonPilon / Python-Numerics
  Numerical machines in Python
  ☆95Updated 10 years ago
• isadoranun / FATS
  ☆75Updated 9 months ago
• daynebatten / keras-wtte-rnn
  Demo Weibull Time-to-event Recurrent Neural Network in Keras
  ☆220Updated 5 years ago
• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆595Updated 3 months ago