Alternatives and similar repositories for catboost

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

• microsoft / LightGBM
  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …
  ☆17,260Updated this week
• dmlc / xgboost
  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…
  ☆26,964Updated this week
• catboost / tutorials
  CatBoost tutorials repository
  ☆1,068Updated 2 months ago
• rasbt / mlxtend
  A library of extension and helper modules for Python's data analysis and machine learning libraries.
  ☆5,009Updated 4 months ago
• hyperopt / hyperopt
  Distributed Asynchronous Hyperparameter Optimization in Python
  ☆7,422Updated this week
• dask / dask
  Parallel computing with task scheduling
  ☆13,237Updated last week
• horovod / horovod
  Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
  ☆14,494Updated last month
• skorch-dev / skorch
  A scikit-learn compatible neural network library that wraps PyTorch
  ☆6,032Updated last month
• keras-team / autokeras
  AutoML library for deep learning
  ☆9,235Updated 5 months ago
• keras-team / keras-tuner
  A Hyperparameter Tuning Library for Keras
  ☆2,886Updated 5 months ago
• scikit-learn-contrib / imbalanced-learn
  A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
  ☆6,990Updated last week
• microsoft / SynapseML
  Simple and Distributed Machine Learning
  ☆5,134Updated last week
• alteryx / featuretools
  An open source python library for automated feature engineering
  ☆7,449Updated last week
• mlflow / mlflow
  Open source platform for the machine learning lifecycle
  ☆20,638Updated this week
• marcotcr / lime
  Lime: Explaining the predictions of any machine learning classifier
  ☆11,890Updated 10 months ago
• TeamHG-Memex / eli5
  A library for debugging/inspecting machine learning classifiers and explaining their predictions
  ☆2,771Updated last month
• VowpalWabbit / vowpal_wabbit
  Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…
  ☆8,569Updated 7 months ago
• shap / shap
  A game theoretic approach to explain the output of any machine learning model.
  ☆23,930Updated last week
• h2oai / h2o-3
  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…
  ☆7,170Updated this week
• vaexio / vaex
  Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per s…
  ☆8,387Updated 7 months ago
• PAIR-code / facets
  Visualizations for machine learning datasets
  ☆7,375Updated 2 years ago
• rapidsai / cudf
  cuDF - GPU DataFrame Library
  ☆8,947Updated this week
• modin-project / modin
  Modin: Scale your Pandas workflows by changing a single line of code
  ☆10,172Updated this week
• Netflix / metaflow
  Build, Manage and Deploy AI/ML Systems
  ☆8,850Updated this week
• tensorflow / serving
  A flexible, high-performance serving system for machine learning models
  ☆6,288Updated this week
• automl / auto-sklearn
  Automated Machine Learning with scikit-learn
  ☆7,850Updated 4 months ago
• interpretml / interpret
  Fit interpretable models. Explain blackbox machine learning.
  ☆6,515Updated this week
• pyro-ppl / pyro
  Deep universal probabilistic programming with Python and PyTorch
  ☆8,773Updated last month
• h2oai / datatable
  A Python package for manipulating 2-dimensional tabular data structures
  ☆1,858Updated 2 months ago
• DistrictDataLabs / yellowbrick
  Visual analysis and diagnostic tools to facilitate machine learning model selection.
  ☆4,350Updated 3 months ago