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boosting

Here are 341 public repositories matching this topic...

awesome-gradient-boosting-papers

benedekrozemberczki / awesome-gradient-boosting-papers

A curated list of gradient boosting research papers with implementations.

Updated Mar 16, 2024
Python

aws-samples / aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

machine-learning random-forest tabular-data xgboost lightgbm decision-trees boosting catboost

Updated Nov 2, 2023
Jupyter Notebook

dmitryikh / leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

go golang machine-learning xgboost lightgbm decision-trees boosting

Updated Jul 8, 2023
Go

serengil / decision-trees-for-ml

Building Decision Trees From Scratch In Python

machine-learning random-forest xgboost id3 gbm lightgbm gradient-boosting-machine cart adaboost c45 decision-tree gradient-boosting boosting bagging regression-trees

Updated Nov 3, 2019
Jupyter Notebook

fabsig / GPBoost

Combining tree-boosting with Gaussian process and mixed effects models

python data-science machine-learning r cpp artificial-intelligence mixed-effects gaussian-processes boosting

Updated Jun 6, 2024
C++

DoubangoTelecom / compv

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

machine-learning arm computer-vision neural-network assembler artificial-intelligence text-recognition x86 artificial-neural-networks pattern-recognition adaboost support-vector-machines boosting ocr-recognition gpgpu-computing

Updated May 10, 2024
C++

fengyang95 / tiny_ml

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

machine-learning clustering numpy svm regression python3 classification gbdt ensemble decision-tree dimension-reduction boosting lr

Updated Dec 6, 2019
Python

sharmaroshan / HR-Analytics

Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visualizations, and Machine Learning Models for Classification Purposes.

python statistics xgboost machinelearning boosting datavisualization analytics-vidhya-competition dataanalysis catboost datapreprocessing googlecolab featureextraction lgboost

Updated May 23, 2019
Jupyter Notebook

Machine_Learning

SudhakarKuma / Machine_Learning

A repository of resources for understanding the concepts of machine learning/deep learning.

machine-learning clustering dimensionality-reduction preprocessing imbalanced-data smote boosting f1-score supervised-machine-learning unsupervised-machine-learning bagging knn-classification summer-school iiith seaborn-plots datacamp-projects datacamp-machine-learning critical-concepts

Updated Jul 24, 2021
Jupyter Notebook

anishsingh20 / Statistical-Learning-using-R

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

Kazuhito00 / OpenCV-Object-Tracker-Python-Sample

Python版OpenCVのTracking APIの比較サンプル

tracker python opencv mil tld object-tracking object-tracker boosting kcf goturn medianflow csrt mosse dasiamrpn

Updated Jan 26, 2024
Python

Donny-Hikari / Viola-Jones

A face detection program in python using Viola-Jones algorithm.

machine-learning computer-vision face-detection adaboost haar-cascade viola-jones boosting emsembling

Updated Jun 24, 2018
Python

fabsig / KTBoost

A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.

machine-learning statistics artificial-intelligence gbdt gbm boosting ktboost grabit

Updated Nov 22, 2021
Python

Puneet2000 / In-Depth-ML

In depth machine learning resources

machine-learning svm probability cross-validation regression cnn kaggle gan rnn ensemble logistic-regression preprocessing decision-trees boosting-algorithms stacking linear-discriminant-analysis boosting perceptron-learning-algorithm transpose-convolution

Updated Dec 4, 2018
Jupyter Notebook

jay15summer / Two-stage-TrAdaboost.R2

transfer-learning boosting multi-task-learning twostagetradaboostr2 mtl-boosting-regression

Updated Jun 21, 2018
Python

BoostedFactorization

benedekrozemberczki / BoostedFactorization

An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).

Updated Sep 19, 2022
Python

dayekb / Study

Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки

deep-learning svm linear-regression ml pca logistic-regression cart nearest-neighbors boosting tsne-visualization

Updated May 30, 2024
Jupyter Notebook

hbldh / skboost

MILBoost and other boosting algorithms, compatible with scikit-learn

machine-learning scikit-learn boosting-algorithms boosting

Updated Sep 25, 2020
Python

provably-robust-boosting

max-andr / provably-robust-boosting

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

boosted-trees boosting adversarial-attacks provable-defense boosted-decision-stumps

Updated Apr 25, 2020
Python

forestry-labs / Rforestry

machine-learning r random-forest r-package trees causal-inference boosting interpretability bagging random-forests monotonic-constraints

Updated Aug 22, 2023
C++

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