Alternatives and similar repositories for beaver

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

• online-ml / deep-river
  ☆144Updated last month
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 11 months ago
• online-ml / light-river
  WIP
  ☆34Updated 11 months ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆222Updated last month
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆55Updated 6 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆40Updated last week
• MaxHalford / taxi-demo-rp-mz-rv-rd-st
  🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations
  ☆45Updated 2 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 3 years ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆127Updated this week
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆39Updated last week
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆110Updated last year
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆116Updated this week
• tblume1992 / MFLES
  ☆115Updated last year
• getml / getml-community
  Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.
  ☆161Updated 2 months ago
• tblume1992 / ThymeBoost
  Forecasting with Gradient Boosted Time Series Decomposition
  ☆194Updated last year
• Nike-Inc / timeseries-generator
  A library to generate synthetic time series data by easy-to-use factors and generator
  ☆153Updated last year
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆76Updated 3 weeks ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆67Updated last month
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆211Updated 8 months ago
• smazzanti / valicast
  Validation for forecasts
  ☆18Updated 2 years ago
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆114Updated 2 months ago
• vsoch / django-river-ml
  Django plugin for online machine learning with river (under-development)
  ☆13Updated last year
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆57Updated last year
• cyrilou242 / mockseries
  Easy and intuitive generation of synthetic timeseries for Python.
  ☆40Updated 10 months ago
• BCG-X-Official / sklearndf
  DataFrame support for scikit-learn.
  ☆63Updated last week
• upgini / upgini
  Data search & enrichment library for Machine Learning → Easily find and add relevant features to your ML & AI pipeline from hundreds of p…
  ☆333Updated last week
• amore-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 10 months ago
• salimamoukou / acv00
  ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…
  ☆102Updated 2 years ago
• zelros / cinnamon
  CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system
  ☆77Updated 2 years ago