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
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 5 months ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• xhochy / fletcher
  Pandas ExtensionDType/Array backed by Apache Arrow
  ☆230Updated 2 years ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated last year
• tgsmith61591 / skoot
  A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn fr…
  ☆57Updated 4 years ago
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆136Updated 5 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• Affirm / shparkley
  Spark implementation of computing Shapley Values using monte-carlo approximation
  ☆74Updated 2 years ago
• dask / dask-tensorflow
  ☆92Updated 5 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 2 years ago
• rsyi / pylift
  Uplift modeling and evaluation library. Actively maintained pypi version.
  ☆75Updated last year
• dask / dask-glm
  ☆76Updated 9 months ago
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆218Updated last year
• 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
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆245Updated 4 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆115Updated last year
• sllynn / spark-xgboost
  A Python wrapper for XGBoost4J-Spark classes.
  ☆47Updated last year
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• amueller / patsylearn
  Patsy Adaptors for Scikit-learn
  ☆48Updated 6 years ago
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆248Updated 2 months ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆153Updated last year
• closest-git / LiteMORT
  A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.
  ☆58Updated 5 years ago
• dask / dask-yarn
  Deploy dask on YARN clusters
  ☆69Updated 10 months ago
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 4 years ago
• sh1ng / arboretum
  Gradient Boosting powered by GPU(NVIDIA CUDA)
  ☆64Updated 5 years ago
• criteo / deepr
  The deepr module provide abstractions (layers, readers, prepro, metrics, config) to help build tensorflow models on top of tf estimators
  ☆52Updated last year
• psarka / uplift
  ☆34Updated 6 years ago
• ianozsvald / dtype_diet
  Tries to shrink your Pandas column dtypes with no data loss so you have more spare RAM
  ☆84Updated last year