Alternatives and similar repositories for luminaire:

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

• sktime / sktime-dl
  DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
  ☆598Updated 8 months ago
• AutoViML / Auto_TS
  Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ra…
  ☆750Updated 7 months ago
• arundo / adtk
  A Python toolkit for rule-based/unsupervised anomaly detection in time series
  ☆1,149Updated 8 months ago
• firmai / atspy
  AtsPy: Automated Time Series Models in Python (by @firmai)
  ☆514Updated 2 years ago
• alteryx / compose
  A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…
  ☆504Updated 4 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆398Updated 11 months ago
• alteryx / evalml
  EvalML is an AutoML library written in python.
  ☆805Updated last week
• matrix-profile-foundation / matrixprofile
  A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
  ☆381Updated last year
• datamllab / tods
  TODS: An Automated Time-series Outlier Detection System
  ☆1,546Updated last year
• antoinecarme / pyaf
  PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
  ☆461Updated 2 months ago
• winedarksea / AutoTS
  Automated Time Series Forecasting
  ☆1,249Updated 3 weeks ago
• microprediction / timemachines
  Predict time-series with one line of code.
  ☆422Updated 5 months ago
• linkedin / greykite
  A flexible, intuitive and fast forecasting library
  ☆1,833Updated last month
• uber / orbit
  A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
  ☆1,959Updated 3 weeks ago
• Nixtla / hierarchicalforecast
  Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
  ☆636Updated last week
• Nixtla / mlforecast
  Scalable machine 🤖 learning for time series forecasting.
  ☆994Updated 2 weeks ago
• kLabUM / rrcf
  🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
  ☆506Updated last year
• fraunhoferportugal / tsfel
  An intuitive library to extract features from time series.
  ☆997Updated 5 months ago
• intive-DataScience / tbats
  BATS and TBATS forecasting methods
  ☆182Updated last year
• dmbee / seglearn
  Python module for machine learning time series:
  ☆574Updated 2 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆224Updated last year
• firmai / deltapy
  DeltaPy - Tabular Data Augmentation (by @firmai)
  ☆544Updated last year
• AutoViML / featurewiz
  Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…
  ☆631Updated last month
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆415Updated 6 months ago
• waico / SKAB
  SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.
  ☆351Updated 7 months ago
• Ekeany / Boruta-Shap
  A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.
  ☆611Updated last year
• cerlymarco / tsmoothie
  A python library for time-series smoothing and outlier detection in a vectorized way.
  ☆749Updated last year
• SeldonIO / alibi-detect
  Algorithms for outlier, adversarial and drift detection
  ☆2,329Updated last week
• johannfaouzi / pyts
  A Python package for time series classification
  ☆1,804Updated last year
• cerlymarco / shap-hypetune
  A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
  ☆574Updated 9 months ago