boosting

There are 3 repositories under boosting topic.

awesome-gradient-boosting-papers
benedekrozemberczki / awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations.
gradient-boosting gradient-boosting-classifier gradient-boosting-machine gradient-boosted-trees gradient-boosting-decision-trees xgboost xgboost-algorithm catboost lightgbm random-forest decision-tree classification-algorithm classification-trees machine-learning deep-learning h2o classifier classification-tree adaboost boosting
Language:Python 1026
fabsig / GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
artificial-intelligence boosting cpp data-science gaussian-processes machine-learning mixed-effects python r
Language:C++ 593
dmitryikh / leaves
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
machine-learning lightgbm xgboost decision-trees boosting go golang
Language:Go 453
aws-samples / aws-machine-learning-university-dte
Machine Learning University: Decision Trees and Ensemble Methods
machine-learning decision-trees tabular-data random-forest boosting xgboost lightgbm catboost
Language:Jupyter Notebook 255
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
python3 numpy svm lr ensemble boosting machine-learning clustering decision-tree gbdt regression classification dimension-reduction
Language:Python 240
DoubangoTelecom / compv
Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)
computer-vision artificial-intelligence artificial-neural-networks machine-learning ocr-recognition text-recognition neural-network support-vector-machines boosting adaboost assembler arm x86 gpgpu-computing pattern-recognition
Language:C++ 200
Kazuhito00 / OpenCV-Object-Tracker-Python-Sample
Python版OpenCVのTracking APIの比較サンプル
opencv python object-tracking object-tracker mil dasiamrpn goturn csrt kcf boosting mosse medianflow tld tracker
Language:Python 77
serengil / decision-trees-for-ml
Building Decision Trees From Scratch In Python
decision-tree gradient-boosting gradient-boosting-machine boosting bagging id3 c45 cart regression-trees lightgbm xgboost random-forest machine-learning gbm adaboost
Language:Jupyter Notebook 68
fabsig / KTBoost
A Python package which implements several boosting algorithms with different combinations of base learners, optimization algorithms, and loss functions.
boosting gbm gbdt ktboost grabit machine-learning statistics artificial-intelligence
Language:Python 63
miniboosts
rmitsuboshi / miniboosts
A collection of boosting algorithms written in Rust 🦀
boosting boosting-algorithm machine-learning adaboost rust adaboost-star corrective-erlpboost erlpboost lpboost smoothboost softboost totalboost gradient-boosting-machine gradient-boosting neural-network graph-separation-boosting
Language:Rust 52
danielhanchen / sciblox
sciblox - Easier Data Science and Machine Learning
data-science data-visualization data-mining data-analysis imputation machine-learning data-preprocessing python sklearn boosting
Language:HTML 50
provably-robust-boosting
max-andr / provably-robust-boosting
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
adversarial-attacks provable-defense boosted-trees boosted-decision-stumps boosting
Language:Python 50
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.
machinelearning dataanalysis datavisualization datapreprocessing featureextraction python googlecolab xgboost lgboost catboost statistics boosting analytics-vidhya-competition
Language:Jupyter Notebook 50
Donny-Hikari / Viola-Jones
A face detection program in python using Viola-Jones algorithm.
viola-jones face-detection computer-vision adaboost haar-cascade boosting emsembling machine-learning
Language:Python 49
SteamTimeIdler / stidler
Error support for **idlesteam.com**
boost boosting hour idling
46
jay15summer / Two-stage-TrAdaboost.R2
transfer-learning multi-task-learning boosting twostagetradaboostr2 mtl-boosting-regression
Language:Python 45
Bin-Cao / TrAdaboost
[An Introduction to Materials Informatics, Prof. Zhang Tong-yi] The transfer learning code for understanding and teaching : Boosting for transfer learning with single / multiple source(s)
boosting tradaboost transfer-learning multisourcetradaboost tasktradaboost expboost transferstacking twostagetradaboostr2
Language:Python 42
Machine_Learning
SudhakarKuma / Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
machine-learning imbalanced-data seaborn-plots smote f1-score supervised-machine-learning unsupervised-machine-learning clustering preprocessing critical-concepts dimensionality-reduction knn-classification bagging boosting datacamp-machine-learning summer-school iiith datacamp-projects
Language:Jupyter Notebook 42
Puneet2000 / In-Depth-ML
In depth machine learning resources
svm probability machine-learning decision-trees regression logistic-regression cross-validation perceptron-learning-algorithm linear-discriminant-analysis boosting-algorithms boosting ensemble kaggle stacking preprocessing cnn rnn transpose-convolution gan
Language:Jupyter Notebook 40
BoostedFactorization
benedekrozemberczki / BoostedFactorization
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
deepwalk l-ensnmf nmf boosting gradient-boosting-machine boosting-machine nmf-decomposition matrix-factorization sklearn boostedne network-embedding node-embedding node2vec word2vec dimensionality-reduction unsupervised-learning machine-learning data-mining factorization-machine gradient-boosting
Language:Python 36
rz-zhang / PRBoost
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
weakly-supervised-learning weak-supervision rule-learning rule-discovery online-learning iterative-learning interactive-learning prompt boosting adaptive-learning nlp
35
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.
datascience statistical-learning r data-analysis depth-interpretation machine-learning-algorithms predictive-modeling polynomial-regression k-nn boosting bagging generalized-additive-models discriminant-anlaysis decision-trees svm-classifier logistic-regression supervised-machine-learning regularization clustering-algorithm
Language:R 32
anitan0925 / ResFGB
Functional gradient boosting based on residual network perception
functional-gradient-boosting boosting classification deep-learning
Language:Python 28
disentangled-attribution-curves
csinva / disentangled-attribution-curves
Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"
interpretability random-forests machine-learning scikit-learn python statistics explainable-ai boosting ml ai stats random-forest ensemble-model feature-importance feature-engineering artificial-intelligence
Language:Python 28
robert-giaquinto / gradient-boosted-normalizing-flows
We got a stew going!
pytorch normalizing-flows deep-generative-model boosting density-estimation variational-autoencoder variational-inference
Language:Python 27
spark-ensemble
pierrenodet / spark-ensemble
Ensemble Learning for Apache Spark 🌲
spark spark-ml scala bagging boosting machine-learning stacking gbm ensemble-learning
Language:Scala 23
michikxd / hourbooster
Simple script to iddle time on steam games without any additional costs.
boosting bot csgo freehourbooster game game-title games hourboost hourbooster linux steam
Language:JavaScript 21
srijarkoroy / adaboost
An implementation of the paper "A Short Introduction to Boosting"
boosting optimization-algorithms decision-tree-classifier
Language:Python 21
boost-R / FDboost
Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).
cran boosting-algorithms boosting function-on-function-regression scalar-on-function-regression function-on-scalar-regression machine-learning variable-selection
Language:R 20
bootcamp-idao-2022
isadrtdinov / bootcamp-idao-2022
IDAO 2022: Machine Learning Bootcamp
machine-learning deep-learning education competition data-analysis boosting neural-networks graph-machine-learning categorical-data
Language:Jupyter Notebook 20
sid321axn / Detection_of_Malicious_URLs
In this project, we have detected the malicious URLs using lexical features and boosted machine learning algorithms
natural-language-processing machine-learning cybersecurity cyber-security malicious-url-detection nlp-machine-learning nlp boosting phishing-detection phishing python sklearn-library urllib lexical-analysis regex
Language:Jupyter Notebook 20
dayekb / Study
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
deep-learning linear-regression logistic-regression ml nearest-neighbors pca tsne-visualization boosting cart svm
Language:Jupyter Notebook 19
steam-hour-booster
DrWarpMan / steam-hour-booster
Farm your in-game hours on Steam
booster game hours steam steam-hour-booster steam-idler boosting farmer farming hour idle idler steam-farmer playtime hour-farmer idle-hours playtime-farmer steam-hour-farmer
Language:TypeScript 17
sibirbil / RuleCovering
Rule covering for interpretation and boosting
decision-tree random-forest boosting-algorithm rule-based column-generation heuristic set-covering-problem linear-programming interpretability boosting
Language:HTML 17
ysh329 / awesome-deep-learning-finetune-experience
This repository not only contains experience about parameter finetune, but also other in-practice experience such as model ensemble (boosting, bagging and stacking) in Kaggle or other competitions.
deep-learning finetune experience kaggle-competition practice fine-tuning-cnns fine-tuning ensemble-learning bagging boosting stacking
16
joshwcheung / csci-567
My solutions for the USC course CSCI 567: Machine Learning
adaboost boosting decision-trees gaussian-mixture-models hmm k-means-clustering knn-classifier linear-regression logistic-regression logitboost machine-learning neural-networks pca perceptron svm
Language:Jupyter Notebook 14

boosting

benedekrozemberczki / awesome-gradient-boosting-papers

fabsig / GPBoost

dmitryikh / leaves

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

fengyang95 / tiny_ml

DoubangoTelecom / compv

Kazuhito00 / OpenCV-Object-Tracker-Python-Sample

serengil / decision-trees-for-ml

fabsig / KTBoost

rmitsuboshi / miniboosts

danielhanchen / sciblox

max-andr / provably-robust-boosting

sharmaroshan / HR-Analytics

Donny-Hikari / Viola-Jones

SteamTimeIdler / stidler

jay15summer / Two-stage-TrAdaboost.R2

Bin-Cao / TrAdaboost

SudhakarKuma / Machine_Learning

Puneet2000 / In-Depth-ML

benedekrozemberczki / BoostedFactorization

rz-zhang / PRBoost

anishsingh20 / Statistical-Learning-using-R

anitan0925 / ResFGB

csinva / disentangled-attribution-curves

robert-giaquinto / gradient-boosted-normalizing-flows

pierrenodet / spark-ensemble

michikxd / hourbooster

srijarkoroy / adaboost

boost-R / FDboost

isadrtdinov / bootcamp-idao-2022

sid321axn / Detection_of_Malicious_URLs

dayekb / Study

DrWarpMan / steam-hour-booster

sibirbil / RuleCovering

ysh329 / awesome-deep-learning-finetune-experience

joshwcheung / csci-567