Alternatives and similar repositories for structural-time-series:

Users that are interested in structural-time-series are comparing it to the libraries listed below

• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆25Updated 2 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 2 years ago
• sktime / sktime-tutorial-pydata-berlin-2022
  ☆38Updated 2 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated last year
• shaypal5 / stationarizer
  Smart, automatic detection and stationarization of non-stationary time series data.
  ☆29Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 years ago
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 2 years ago
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 2 years ago
• SimonOuellette35 / PyData-talk---Intro-to-PyMC3
  Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"
  ☆13Updated 5 years ago
• ag-ds-bubble / tseuler
  A library for Time-Series exploration, analysis & modelling.
  ☆17Updated 4 years ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆18Updated 11 months ago
• DataForScience / RNN
  Recurrent Neural Networks for Timeseries
  ☆24Updated 5 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆17Updated 2 years ago
• MaxHalford / naked
  The simplest way to deploy a machine learning model
  ☆23Updated 2 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆44Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 8 months ago
• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆10Updated 10 months ago
• stefan-jansen / topic-modeling
  ☆14Updated 2 years ago
• bodywork-ml / ml-pipeline-engineering
  Best practices for engineering ML pipelines.
  ☆35Updated 2 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆21Updated 5 years ago