Alternatives and similar repositories for mlflavors

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

• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated this week
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆13Updated last year
• Techtonique / nnetsauce
  Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)
  ☆19Updated this week
• WWakker / mtalg
  Multithreaded elementwise algebra and random number generation
  ☆8Updated last year
• sktime / enhancement-proposals
  sktime enhancement proposals
  ☆7Updated last week
• AngelPone / pyhts
  A python package for hierarchical forecasting, inspired by hts package in R.
  ☆28Updated 4 months ago
• alexhallam / tablespoon
  🥄✨Time-series Benchmark methods that are Simple and Probabilistic
  ☆41Updated last year
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆123Updated this week
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆32Updated 7 months ago
• MarcSkovMadsen / pydata-london-2022
  ☆8Updated 3 years ago
• juanitorduz / juanitorduz.github.io
  Personal Website Dr. Juan Camilo Orduz
  ☆16Updated last week
• krassowski / jupyterlab-dagitty
  JupyterLab renderer of dagitty causal diagrams
  ☆23Updated last year
• acturtle / cashflower
  An open-source Python framework for actuarial cash flow models
  ☆43Updated this week
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆38Updated 2 weeks ago
• koaning / solah
  Very basic solar regression
  ☆15Updated 3 weeks ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• drumtorben / polars-ts
  Polars Time Series Extension
  ☆29Updated 5 months ago
• koaning / scikit-prune
  Prune your sklearn models
  ☆19Updated 8 months ago
• corriebar / code-complexity
  Repository with code, notebook and slides for my PyData & PyConDE talk 2023 about Clean Coding practises.
  ☆12Updated 2 years ago
• Techtonique / teller
  Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data
  ☆9Updated 3 months ago
• IDA-HumanCapital / fife
  Finite-Interval Forecasting Engine: Machine learning models for discrete-time survival analysis and multivariate time series forecasting
  ☆22Updated last year
• ModelOriented / SAFE
  Surrogate Assisted Feature Extraction
  ☆37Updated 3 years ago
• DidierRLopes / timeseries-cv
  Time-Series Cross-Validation Module
  ☆45Updated 3 years ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆42Updated 2 years ago
• ogrisel / euroscipy-2022-time-series
  Tutorial on time-series forcasting with scikit-learn
  ☆33Updated 2 years ago
• astrojuanlu / talk-dataframes
  Talk "Beyond pandas: The great Python dataframe showdown"
  ☆37Updated 2 years ago
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆16Updated last year
• NoRaincheck / TreeGrad
  ☆21Updated 5 years ago