Alternatives and similar repositories for beaver:

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

• online-ml / deep-river
  ☆134Updated 3 weeks ago
• IFCA-Advanced-Computing / frouros
  Frouros: an open-source Python library for drift detection in machine learning systems.
  ☆215Updated 3 months ago
• online-ml / light-river
  WIP
  ☆34Updated 9 months ago
• MaxHalford / taxi-demo-rp-mz-rv-rd-st
  🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations
  ☆46Updated 2 years ago
• online-ml / chantilly
  🍦 Deployment tool for online machine learning models
  ☆97Updated 2 years ago
• mmschlk / iXAI
  Fast and incremental explanations for online machine learning models. Works best with the river framework.
  ☆54Updated 4 months ago
• carbonfact / icanexplain
  📊 Explain why metrics change by unpacking them
  ☆38Updated last week
• vsoch / django-river-ml
  Django plugin for online machine learning with river (under-development)
  ☆13Updated last year
• MAIF / eurybia
  ⚓ Eurybia monitors model drift over time and securizes model deployment with data validation
  ☆208Updated 6 months ago
• openml-labs / gama
  An automated machine learning tool aimed to facilitate AutoML research.
  ☆99Updated 8 months ago
• tlentali / leab
  📈🔍 Lets Python do AB testing analysis.
  ☆76Updated 2 weeks ago
• w4k2 / stream-learn
  The stream-learn is an open-source Python library for difficult data stream analysis.
  ☆63Updated last month
• georgian-io / pyoats
  Quick and Easy Time Series Outlier Detection
  ☆108Updated 9 months ago
• sdv-dev / RDT
  A library of Reversible Data Transforms
  ☆124Updated last week
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆69Updated 8 months ago
• sdv-dev / DeepEcho
  Synthetic Data Generation for mixed-type, multivariate time series.
  ☆112Updated this week
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆113Updated this week
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆72Updated last year
• 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…
  ☆100Updated 2 years ago
• raphaelsty / abayes
  Autoregressive Bayesian linear model
  ☆21Updated 4 years ago
• Nixtla / utilsforecast
  Helper functions to plot, evaluate, preprocess and engineer features for forecasting
  ☆69Updated last week
• mitre / menelaus
  Online and batch-based concept and data drift detection algorithms to monitor and maintain ML performance.
  ☆67Updated last year
• interpretml / gam-changer
  Editing machine learning models to reflect human knowledge and values
  ☆124Updated last year
• bytehub-ai / bytehub
  ByteHub: making feature stores simple
  ☆60Updated 3 years ago
• jgaud / streamndr
  Novelty detection for data streams in Python
  ☆11Updated 8 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆65Updated this week
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆152Updated last year
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆38Updated this week
• linkedin / TE2Rules
  Python library to explain Tree Ensemble models (TE) like XGBoost, using a rule list.
  ☆55Updated last year