Alternatives and similar repositories for getml-community:

Users that are interested in getml-community are comparing it to the libraries listed below

• dream-faster / fold
  🪁 A fast Adaptive Machine Learning library for Time-Series, that lets you build, deploy and update composite models easily. An order of …
  ☆101Updated last year
• tblume1992 / MFLES
  ☆115Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 7 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆77Updated 4 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆34Updated this week
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆57Updated 3 weeks ago
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆108Updated 8 months ago
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆89Updated 6 months ago
• noklam / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆50Updated last year
• superlinear-ai / conformal-tights
  👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
  ☆104Updated last week
• ThomasBury / arfs
  All Relevant Feature Selection
  ☆131Updated last month
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆193Updated last year
• online-ml / beaver
  🦫 MLOps for (online) machine learning
  ☆87Updated last year
• predict-idlab / tsflex
  Flexible time series feature extraction & processing
  ☆415Updated 6 months ago
• ajayarunachalam / Deep_XF
  Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…
  ☆117Updated 2 years ago
• azmyrajab / polars_ols
  Polars least squares extension - enables fast linear model polar expressions
  ☆138Updated 6 months ago
• cerlymarco / tspiral
  A python package for time series forecasting with scikit-learn estimators.
  ☆161Updated 11 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆397Updated 11 months ago
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆42Updated 3 weeks ago
• jmoralez / window_ops
  Fast window operations
  ☆40Updated 9 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆110Updated last month
• autogluon / fev
  Forecast evaluation library
  ☆61Updated 2 weeks ago
• sktime / skpro
  A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
  ☆260Updated last week
• online-ml / light-river
  WIP
  ☆33Updated 7 months ago
• Nixtla / datasetsforecast
  Datasets for time series forecasting
  ☆89Updated last month
• NITRO-AI / NitroFE
  NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …
  ☆106Updated 2 years ago
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆203Updated 10 months ago
• perpetual-ml / perpetual
  A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
  ☆448Updated last week
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆26Updated last week
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆39Updated 6 months ago