Alternatives and similar repositories for xBooster:

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

• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆26Updated last week
• deburky / boosting-scorecards
  Boosting scorecards
  ☆13Updated last week
• ChadFulton / scipy2022-bayesian-time-series
  Bayesian Estimation and Forecasting of Time Series in statsmodels, for Scipy 2022 conference
  ☆22Updated 2 years ago
• microprediction / microactors-causality
  Examples of causality maps for time series driven by GitHub actions
  ☆15Updated last year
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆74Updated last week
• jessegrabowski / statespace-presentation
  Presentation materials for PyMC Statespace
  ☆18Updated 8 months ago
• tblume1992 / Seance
  Wrapper around MLForecast for more plug and play forecasting
  ☆10Updated last year
• yubin-park / palobst
  PaloBoost is an overfitting-robust Gradient Boosting algorithm.
  ☆15Updated 5 years ago
• MatthewK84 / LinkedIn-Learning-Journey
  Matthew Kolakowski Learning Journey with Articles on Time Series Analysis, Machine Learning, Python Programming, and Systems Engineering.
  ☆28Updated 2 months ago
• microprediction / m6entry
  ☆20Updated 2 years ago
• guillermo-navas-palencia / clogistic
  Logistic regression with bound and linear constraints. L1, L2 and Elastic-Net regularization.
  ☆33Updated 2 years ago
• ChadFulton / fulton_statsmodels_2017
  State Space Estimation of Time Series Models in Python: Statsmodels
  ☆44Updated 8 years ago
• rabia174 / ConformaSight
  Conformal Prediction-Based Global and Model Agnostic Explainability for Classification tasks.
  ☆25Updated 3 months ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆79Updated 5 months ago
• PlaytikaOSS / uplift-analysis
  A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-ca…
  ☆24Updated 2 years ago
• MarcoGorelli / wound-ignite
  Prize-winning solution to the M6 Forecasting Competition
  ☆23Updated 2 years ago
• xqnwang / conformalForecast
  Methods and tools for multistep-ahead time series conformal prediction.
  ☆35Updated last month
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• lixixibj / DeepVARwT-data-code
  ☆19Updated 7 months ago
• microprediction / m6
  M6-Forecasting competition
  ☆43Updated last year
• rick12000 / confopt
  A Library for Conformal Hyperparameter Tuning
  ☆30Updated 2 weeks ago
• SaremS / sample_notebooks
  Loose collection of Jupyter notebooks, mostly for my blog
  ☆28Updated 5 months ago
• ran-xie / boosted-conformal
  ☆39Updated 4 months ago
• cvxgrp / cvxrisk
  Compile risk with cvxpy
  ☆13Updated last week
• OliverHennhoefer / unquad
  Conformal Anomaly Detection
  ☆47Updated last week
• christophmark / fforma
  Python package for Feature-based Forecast Model Averaging (FFORMA).
  ☆28Updated 4 years ago
• tblume1992 / MFLES
  ☆115Updated last year
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆112Updated 7 months ago
• ZitongYang / bellman-conformal-inference
  Python implementation for Bellman Conformal Inference algorithm for time series forecasting.
  ☆21Updated last year