Alternatives and similar repositories for gbnet

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

• Quantco / tabmat
  Efficient matrix representations for working with tabular data
  ☆131Updated last week
• koaning / scikit-mdn
  A mixture density network, by PyTorch, for scikit-learn
  ☆24Updated last year
• soda-inria / hazardous
  Competing Risks and Survival Analysis
  ☆113Updated 4 months ago
• StatMixedML / Py-BoostLSS
  An extension of Py-Boost to probabilistic modelling
  ☆24Updated 3 years ago
• koaning / scikit-playtime
  Rethinking machine learning pipelines
  ☆34Updated 3 months ago
• sktime / skbase
  Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
  ☆31Updated this week
• rapidsai / gputreeshap
  ☆104Updated last month
• felipeangelimvieira / prophetverse
  A multiverse of Prophet models for timeseries
  ☆72Updated last month
• Blue-Yonder-OSS / cyclic-boosting
  implementation of Cyclic Boosting machine learning algorithms
  ☆94Updated last year
• astrogilda / tsbootstrap
  tsbootstrap: generate bootstrapped time series samples in Python
  ☆88Updated 6 months ago
• scikit-learn-contrib / skglm
  Fast and modular sklearn replacement for generalized linear models
  ☆190Updated 3 months ago
• koaning / narlogs
  Decorators for logging purposes for all your dataframes
  ☆14Updated 11 months ago
• malmgrek / gammy
  Generalized additive models in Python with a Bayesian twist
  ☆78Updated 5 months ago
• elephaint / pgbm
  Probabilistic Gradient Boosting Machines
  ☆157Updated last year
• StatMixedML / DGBM
  Distributional Gradient Boosting Machines
  ☆28Updated 3 years ago
• FBruzzesi / sklearn-smithy
  Toolkit to forge scikit-learn compatible estimators
  ☆19Updated 3 weeks ago
• jdb78 / lipo
  Global, derivative-free optimization for hyperparameter tuning
  ☆44Updated 3 months ago
• lorentzenchr / model-diagnostics
  Tools for diagnostics and assessment of (machine learning) models
  ☆39Updated 3 weeks ago
• eserie / wax-ml
  A Python library for machine-learning and feedback loops on streaming data
  ☆63Updated 2 years ago
• fabsig / KTBoost
  A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and …
  ☆63Updated 4 years ago
• autogluon / fev
  Forecast evaluation library
  ☆138Updated last week
• FBruzzesi / timebasedcv
  Time based splits for cross validation
  ☆39Updated 3 weeks ago
• s-marton / GRANDE
  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles
  ☆99Updated last month
• NorskRegnesentral / skchange
  skchange provides sktime-compatible change detection and changepoint-based anomaly detection algorithms
  ☆41Updated 4 months ago
• PySloth / pysloth
  A Python Package for Probabilistic Prediction
  ☆22Updated 4 years ago
• pyensemble / wildwood
  Advanced random forest methods in Python
  ☆58Updated 2 years ago
• xadrianzetx / optuna-distributed
  Distributed hyperparameter optimization made easy
  ☆38Updated last year
• koaning / scikit-churn
  Exploring some issues related to churn
  ☆17Updated last year
• JohnGoertz / Gumbi
  Gaussian Process Model Building Interface
  ☆52Updated 10 months ago
• Nixtla / coreforecast
  Fast implementations of common forecasting routines
  ☆42Updated last week