Alternatives and similar repositories for awesome-gradient-boosting-papers

Users that are interested in awesome-gradient-boosting-papers are comparing it to the libraries listed below

• benedekrozemberczki / awesome-decision-tree-papers
  A collection of research papers on decision, classification and regression trees with implementations.
  ☆2,423Updated last year
• lopusz / awesome-interpretable-machine-learning
  ☆917Updated 2 years ago
• h2oai / mli-resources
  H2O.ai Machine Learning Interpretability Resources
  ☆489Updated 4 years ago
• jphall663 / interpretable_machine_learning_with_python
  Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, …
  ☆682Updated last year
• HunterMcGushion / hyperparameter_hunter
  Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
  ☆708Updated 4 years ago
• flennerhag / mlens
  ML-Ensemble – high performance ensemble learning
  ☆860Updated last year
• EpistasisLab / pmlb
  PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
  ☆841Updated 6 months ago
• marcotcr / anchor
  Code for "High-Precision Model-Agnostic Explanations" paper
  ☆807Updated 3 years ago
• scikit-learn-contrib / DESlib
  A Python library for dynamic classifier and ensemble selection
  ☆492Updated last year
• EthicalML / xai
  XAI - An eXplainability toolbox for machine learning
  ☆1,200Updated 3 years ago
• the-black-knight-01 / Data-Science-Competitions
  Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).
  ☆807Updated 5 years ago
• pbiecek / xai_resources
  Interesting resources related to XAI (Explainable Artificial Intelligence)
  ☆838Updated 3 years ago
• Xtra-Computing / thundergbm
  ThunderGBM: Fast GBDTs and Random Forests on GPUs
  ☆705Updated 6 months ago
• WillKoehrsen / hyperparameter-optimization
  Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms
  ☆635Updated 2 years ago
• bayesgroup / deepbayes-2019
  Practical assignments of the Deep|Bayes summer school 2019
  ☆831Updated 5 years ago
• benedekrozemberczki / awesome-fraud-detection-papers
  A curated list of data mining papers about fraud detection.
  ☆1,735Updated last year
• vecxoz / vecstack
  Python package for stacking (machine learning technique)
  ☆695Updated 3 weeks ago
• abhayspawar / featexp
  Feature exploration for supervised learning
  ☆762Updated 4 years ago
• sosuneko / PDPbox
  python partial dependence plot toolbox
  ☆861Updated last year
• windmaple / awesome-AutoML
  Curating a list of AutoML-related research, tools, projects and other resources
  ☆900Updated 3 weeks ago
• benedekrozemberczki / awesome-community-detection
  A curated list of community detection research papers with implementations.
  ☆2,401Updated last year
• Qwicen / node
  Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
  ☆500Updated 4 years ago
• stanfordmlgroup / ngboost
  Natural Gradient Boosting for Probabilistic Prediction
  ☆1,778Updated 2 weeks ago
• interpretml / DiCE
  Generate Diverse Counterfactual Explanations for any machine learning model.
  ☆1,446Updated 2 months ago
• kevinzakka / torchnca
  A PyTorch implementation of Neighbourhood Components Analysis.
  ☆398Updated 5 years ago
• yassouali / ML-paper-notes
  Notes and summaries of various ML, Computer Vision & NLP papers.
  ☆563Updated 3 years ago
• aerdem4 / lofo-importance
  Leave One Feature Out Importance
  ☆838Updated 7 months ago
• AxeldeRomblay / MLBox
  MLBox is a powerful Automated Machine Learning python library.
  ☆1,516Updated 2 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆299Updated 5 years ago
• scikit-learn-contrib / metric-learn
  Metric learning algorithms in Python
  ☆1,425Updated last year