Alternatives and similar repositories for dask-lightgbm:

Users that are interested in dask-lightgbm are comparing it to the libraries listed below

• dask / dask-xgboost
  ☆162Updated 3 years ago
• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆184Updated 6 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 4 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆152Updated last year
• schipiga / pandas-tfrecords
  Easy converter pandas -> tfrecords & tfrecords -> pandas
  ☆38Updated 2 years ago
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆136Updated 5 years ago
• ldv1 / LinXGBoost
  Extension of the awesome XGBoost to linear models at the leaves
  ☆78Updated 5 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• rapidsai / gputreeshap
  ☆98Updated last week
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆381Updated 3 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆148Updated 10 months ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• psarka / uplift
  ☆34Updated 6 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆114Updated last year
• openscoring / openscoring-python
  Python client library for the Openscoring REST web service
  ☆32Updated 3 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• triton-inference-server / fil_backend
  FIL backend for the Triton Inference Server
  ☆77Updated 2 weeks ago
• fugue-project / tune
  An abstraction layer for parameter tuning
  ☆35Updated 7 months ago
• sh1ng / arboretum
  Gradient Boosting powered by GPU(NVIDIA CUDA)
  ☆64Updated 5 years ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆217Updated 10 months ago
• giantcroc / featuretoolsOnSpark
  A simplified version of featuretools for Spark
  ☆31Updated 5 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆120Updated 3 months ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• Laurae2 / CategoricalAnalysis
  Analysis of Categorical Encodings for dense Decision Trees
  ☆41Updated 8 years ago
• dask / dask-yarn
  Deploy dask on YARN clusters
  ☆69Updated 8 months ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆245Updated 2 weeks ago
• dmlc / treelite
  Universal model exchange and serialization format for decision tree forests
  ☆766Updated this week