Alternatives and similar repositories for dask-lightgbm

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

• ogrisel / pygbm
  Experimental Gradient Boosting Machines in Python with numba.
  ☆185Updated 6 years ago
• dask / dask-xgboost
  ☆162Updated 4 years ago
• 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
• joblib / joblib-spark
  Joblib Apache Spark Backend
  ☆249Updated 5 months ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• alteryx / autonormalize
  python library for automated dataset normalization
  ☆116Updated 2 years ago
• GBDT-PL / GBDT-PL
  Gradient Boosting With Piece-Wise Linear Trees
  ☆154Updated last year
• szilard / GBM-perf
  Performance of various open source GBM implementations
  ☆222Updated last year
• xhochy / fletcher
  Pandas ExtensionDType/Array backed by Apache Arrow
  ☆231Updated 2 years ago
• rapidsai / gputreeshap
  ☆100Updated last week
• rapidsai / dask-cudf
  [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf
  ☆136Updated 6 years ago
• RAMitchell / GBM-Benchmarks
  ☆23Updated 4 years ago
• RAMitchell / xgb-bias-variance
  ☆14Updated 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 8 months ago
• MLBazaar / BTB
  A simple, extensible library for developing AutoML systems
  ☆175Updated 2 years ago
• jrbourbeau / dask-optuna
  Scale Optuna with Dask
  ☆35Updated 4 years ago
• ray-project / xgboost_ray
  Distributed XGBoost on Ray
  ☆149Updated last year
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• genixpro / hypermax
  Better, faster hyper-parameter optimization
  ☆113Updated last year
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• scikit-learn-contrib / polylearn
  A library for factorization machines and polynomial networks for classification and regression in Python.
  ☆246Updated 5 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
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 5 years ago
• capitalone / rubicon-ml
  Capture all information throughout your model's development in a reproducible way and tie results directly to the model code!
  ☆137Updated last week
• EpistasisLab / scikit-mdr
  A sklearn-compatible Python implementation of Multifactor Dimensionality Reduction (MDR) for feature construction.
  ☆125Updated 3 months ago
• dask / dask-glm
  ☆75Updated last year
• scikit-learn-contrib / stability-selection
  scikit-learn compatible implementation of stability selection.
  ☆213Updated 2 years ago
• RGF-team / rgf
  Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…
  ☆382Updated 3 years ago
• dask / dask-yarn
  Deploy dask on YARN clusters
  ☆69Updated last year