Alternatives and similar repositories for gbnet

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

• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 2 years ago
• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆130Updated 2 weeks ago
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆27Updated 3 years ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated last week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated 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
• rapidsai / gputreeshap
  ☆103Updated last month
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 2 months ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 9 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
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆86Updated 5 months ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆63Updated 2 years ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 4 months ago
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆70Updated 2 weeks ago
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆112Updated 3 months ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 3 months ago
• salesforce / online_conformal
  Methods for online conformal prediction.
  ☆117Updated 8 months ago
• vincentblot28 / conformalized_gp
  ☆48Updated 11 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 3 months ago
• CDonnerer / xgboost-distribution
  Probabilistic prediction with XGBoost.
  ☆120Updated 9 months ago
• ptocca / VennABERS
  Fast implementation of Venn-ABERS probabilistic predictors
  ☆75Updated last year
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• RianneSchouten / pyampute
  Missing data amputation and exploration functions for Python
  ☆72Updated 3 years ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆187Updated 3 months ago
• Moffran / calibrated_explanations
  Repository for the explanation method Calibrated Explanations (CE)
  ☆71Updated last week
• ml-jku / HopCPT
  Conformal Prediction for Time Series with Modern Hopfield Networks
  ☆85Updated 7 months ago
• g-benton / Volt
  Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
  ☆49Updated 3 years ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago