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#

boosting-algorithms

Here are 209 public repositories matching this topic...

collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc

  • UpdatedMar 8, 2023
  • Jupyter Notebook

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

  • UpdatedJul 20, 2024
  • Jupyter Notebook
linearboost-classifier

LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier.

  • UpdatedAug 19, 2025
  • Python

Machine Learning for High Energy Physics.

  • UpdatedNov 1, 2025
  • Jupyter Notebook

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

  • UpdatedNov 5, 2024
  • HTML

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

  • UpdatedApr 29, 2020
  • Jupyter Notebook

The Tidymodels Extension for Time Series Boosting Models

  • UpdatedAug 10, 2022
  • R

Deep Boosting for Image Denoising in ECCV 2018 and its Real-world Extension in IEEE Transactions on Pattern Analysis and Machine Intelligence

  • UpdatedJun 12, 2019
  • Python

Run XGBoost model and make predictions in Node.js

  • UpdatedOct 30, 2017
  • Cuda

Catboost Go Wrapper

  • UpdatedMar 19, 2018
  • Go

Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).

  • UpdatedFeb 24, 2025
  • R

Play around with NGBoost and compare with LightGBM and XGBoost

  • UpdatedJun 17, 2024
  • Python

Deepboost R-package for submission

  • UpdatedNov 8, 2017
  • C++

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