ensemble-machine-learning

sharmapratik88/AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

ZhiningLiu1998/mesa

[NeurIPS’20] ⚖️ Build powerful ensemble class-imbalanced learning models via meta-knowledge-powered resampler. | 设计元知识驱动的采样器解决类别不平衡问题

FilippoMB/Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

desh2608/dover-lap

Python package for combining diarization system outputs.

louisowen6/SENN

Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"

gkunapuli/ensemble-methods-notebooks

A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)

FernandoLpz/Stacking-Blending-Voting-Ensembles

This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking and Blending were made from scratch, the example for Voting was using the scikit-learn utility.

alicex2020/Deep-Learning-Lie-Detection

Use machine learning models to detect lies based solely on acoustic speech information

Dan-Boat/PyESD

Python Package for Empirical Statistical Downscaling. pyESD is under active development and all colaborators are welcomed. The purpose of the package is to downscale any climate variables e.g. precipitation and temperature using predictors from reanalysis datasets (eg. ERA5) to point scale. pyESD adopts many ML and AL as the transfer function.

jon-chun/sentimentarcs_notebooks

SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time

AaronWard/PU-learning-example

An example repo for how PU Bagging and TSA works.

ashishpatel26/Most-used-ML-Packages

Here my amazing tutorial collection contain amazing notebook must read. It's contain pytorch, Advance pandas, Ensemble learning, Tensorflow, Genetic Algorithms, Dask, Word Embedding

tonyleidong/OptimalFlow

OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments(PCTE) and Selection-based Feature Preprocessor with Ensemble Encoding(SPEE), to help data scientists build optimal models, and automate supervised learning workflow with simpler coding.

PradeepThapa/nsl_kdd_classification

Cyber-attack classification in the network traffic database using NSL-KDD dataset

Anello92/Machine_Learning_Python

Top Machine Learning Algorithms Detailed in Python and Preprocessing for Machine Learning

Haoning724/obbstacking

Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

fischlerben/Machine-Learning-Credit-Risk

Machine-Learning project that uses a variety of credit-related risk factors to predict a potential client's credit risk. Machine Learning models include Logistic Regression, Balanced Random Forest and EasyEnsemble, and a variety of re-sampling techniques are used (Oversampling/SMOTE, Undersampling/Cluster Centroids, and SMOTEENN) to re-sample the data. Evaluation metrics like the accuracy score, classification report and confusion matrix are generated to compare models and determine which suits this particular set of data best.

IPVS-AS/pusion

Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.

pm390/recsys2022

Code repo of solution of 11th place in Recsys Challenge 2022

stdereka/ded-ood

[IEEE ICIP 2024] Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy

deveshsangwan/Skin-lesions-classification

This repo includes classifier trained to distinct 7 type of skin lesions

aayush1036/housing-rent-prediction

End to End Machine Learning Project along with deployment.

IvanVigor/Local-Fusion-Dynamic-Weighted-Ensemble

This repository contains an implementation for the Dynamic Weighted Ensemble (DWE) - Local Fusion method. Local Fusion is an ensemble techinque that could be used to improve predictions by weighing appropriately the single models contribution.

kafisatz/DecisionTrees.jl

Julia Decision Tree Algorithms for Regression

omarmhaimdat/xgboost_student_performance

Introduction to XGBoost with an Implementation in an iOS Application

yashksaini-coder/Mohs-hardness-ensemble-prediction

Mohs Hardness Prediction Project | Ensemble Models with Neural Networks, LGBM, CAT, XGB using a Voting Mechanism. 🚀💎

abhidtu2014/Image-splicing-detection-python

Splicing detection | ML

davidmasse/US-supreme-court-prediction

Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model

HarryMills/GASEN

Genetic Algorithm based Selective Neural Network Ensemble

CodeByHarri/Stacking-Ensemble-Machine-Learning

Stacking Machine Learning Models. Tunning; feature engineering, scaling, models combinations and parameters.

raghavagps/toxinpred3

An improved method for predicting toxicity of the peptides and designing of non-toxic peptides

arasgungore/multiclass-classification-using-ensemble-learning

Two ensemble models made from ensembles of LightGBM and CNN for a multiclass classification problem.

afsanamimii/Robi-Datathon-2.0

The Datathon competition was organized by the country’s leading digital operator Robi. Datathon 2.0 was powered by ‘AWS’ (Amazon Web Services), ‘Huawei’ was the platinum sponsor, and ‘Brain station’ was the cloud expertise partner, reads a press release.

bensonrachellaw/Spark-BSP-SEL

Bootstrap Sample Partition and Selected Ensemble Learning System: Distributed Ensemble Learning Bootstrap Samples Based using Spark as Backend.