Alternatives and similar repositories for Py-BoostLSS

Users that are interested in Py-BoostLSS are comparing it to the libraries listed below

• StatMixedML / Hyper-Trees
  Forecasting with Hyper-Trees
  ☆20Updated 5 months ago
• vacquaviva / IntroConformalPredictions
  A short introduction to Conformal Prediction methods, with a few examples for classification and regression from the Astrophysical domain…
  ☆12Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆28Updated 3 years ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆99Updated 3 weeks ago
• RektPunk / MQBoost
  Multiple quantiles estimation model maintaining non-crossing condition (or monotone quantile condition) and preventing quantile crossing …
  ☆39Updated last year
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• nmdwolf / ValidPredictionIntervals
  Contains the code to run the different models considered in the paper "Valid prediction intervals for regression problems"
  ☆23Updated 3 years ago
• erdogant / hgboost
  hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating t…
  ☆64Updated 10 months ago
• valeman / Multi-class-probabilistic-classification
  Multi-class probabilistic classification using inductive and cross Venn–Abers predictors
  ☆50Updated 3 years ago
• MartinWeigl / pycaleva
  A framework for calibration measurement of binary probabilistic models
  ☆29Updated last year
• hsbc / tslumen
  A library for Time Series EDA (exploratory data analysis)
  ☆72Updated last year
• yotambraun / APDTFlow
  APDTFlow is a modern and extensible forecasting framework for time series data that leverages advanced techniques including neural ordina…
  ☆41Updated 2 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆85Updated 7 months ago
• lavinei / pybats
  Bayesian time series forecasting and decision analysis
  ☆120Updated 2 years ago
• tblume1992 / BetaBoost
  A small wrapper to do Beta Boosting with XgBoost
  ☆15Updated 4 years ago
• Neal-Liu-Ziyi / Concept_Drift_Handling
  ☆13Updated 2 years ago
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated this week
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 8 months ago
• OliverHennhoefer / nonconform
  Conformal Anomaly Detection
  ☆51Updated 3 weeks ago
• elephaint / hfas
  Hierarchical Forecasting at Scale
  ☆16Updated last year
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• vincentblot28 / conformalized_gp
  ☆48Updated last year
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• mthorrell / gbnet
  Gradient Boosting Modules for PyTorch
  ☆78Updated last week
• alejandrofdez-us / similarity-ts-cli
  ☆30Updated last year
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• kamilest / conformal-rnn
  Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
  ☆77Updated last year