#

ensemble-machine-learning

Here are 207 public repositories matching this topic...

h1st-ai / h1st

Power Tools for AI Engineers With Deadlines

home-automation data-science time-series collaboration cybersecurity cold-start autonomous-vehicles hacktoberfest automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment explainability industrial-iot trustworthy-datascience energy-optimization

Updated Jul 31, 2023
Jupyter Notebook

sharmapratik88 / AIML-Projects

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

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject

Updated Aug 23, 2021
Jupyter Notebook

mesa

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

ensemble class-imbalance ensemble-model imbalanced-data mesa imbalanced-learning ensemble-machine-learning imbalance-classification meta-learning-algorithms imbalanced-learn meta-sampler meta-training

Updated May 3, 2024
Jupyter Notebook

desh2608 / dover-lap

Python package for combining diarization system outputs.

ensemble-machine-learning diarization dover-lap

Updated Oct 12, 2023
Python

FilippoMB / Ensemble-Conformalized-Quantile-Regression

Valid and adaptive prediction intervals for probabilistic time series forecasting

random-forest recurrent-neural-networks uncertainty-quantification frequentistic-confidence-intervals quantile-regression time-series-prediction frequentist-statistics time-series-forecasting ensemble-machine-learning conformal-prediction prediction-intervals probabilistic-forecasting

Updated Sep 28, 2022
Jupyter Notebook

louisowen6 / SENN

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

nlp sentiment-analysis neural-network cnn lstm mlp stock-market-prediction ensemble-machine-learning stocktwits

Updated Oct 7, 2020
Jupyter Notebook

gkunapuli / ensemble-methods-notebooks

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

python machine-learning scikit-learn jupyter-notebook ensemble-learning ensemble-machine-learning

Updated Apr 22, 2023
Jupyter Notebook

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.

machine-learning voting ensemble-learning ensemble-model stacking blending ensemble-classifier ensemble-machine-learning stacking-ensemble

Updated Nov 18, 2021
Python

alicex2020 / Deep-Learning-Lie-Detection

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

machine-learning deep-learning ensemble-learning support-vector-machines mfcc ensemble-model pitch-tracking ensemble-classifier acoustic-features ensemble-machine-learning lie-detector mfcc-analysis

Updated Jul 27, 2019
Jupyter Notebook

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.

machine-learning deep-learning precipitation downscaling ensemble-machine-learning tensorflow2 sckit-learn

Updated Feb 23, 2024
Python

jon-chun / sentimentarcs_notebooks

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

Updated Mar 23, 2023
Jupyter Notebook

AaronWard / PU-learning-example

An example repo for how PU Bagging and TSA works.

machine-learning random-forest semi-supervised-learning ensemble labelling weakly-supervised-learning bagging ensemble-machine-learning positive-unlabeled-learning bagging-trees pulearning unreliable-labels

Updated Feb 21, 2020
Python

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.

automl automated-machine-learning ensemble-machine-learning ensemble-encoder automated-feature-preprocessor

Updated Jan 25, 2024
HTML

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

tensorflow word-embeddings pandas pytorch ensemble-learning tensorflow-tutorials nlp-machine-learning pandas-tutorial pytorch-tutorial ensemble-machine-learning

Updated May 31, 2019
Jupyter Notebook

nsl_kdd_classification

PradeepThapa / nsl_kdd_classification

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

attack machine-learning-algorithms classification-algorithm kdd99 nsl-kdd kdd-dataset ensemble-machine-learning catboost-model classification-algorithms cyber-attacks-analytics cyber-attack-classification network-traffic-database u2r r2l

Updated Sep 25, 2020
Python

Anello92 / Machine_Learning_Python

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

python machine-learning tree algorithm random-forest naive-bayes regression classification adaboost preprocessing knn ensemble-machine-learning extremely-randomized-trees bagging-ensemble

Updated Jul 13, 2021
Jupyter Notebook

Haoning724 / obbstacking

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

machine-learning deep-learning remote-sensing object-detection oriented-bounding-box ensemble-machine-learning

Updated May 16, 2023
Python

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

bootstrap random-forest exploratory-data-analysis feature-selection supervised-learning adaboost feature-engineering gradient-boosting supervised-machine-learning decisiontree bagging knn-regression support-vector-regression regression-algorithms kfold-cross-validation ensemble-machine-learning

Updated Oct 26, 2019
Jupyter Notebook

pm390 / recsys2022

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

solutions re-ranking ranking recommender-systems user-collaborative-filtering item-collaborative-filtering ensemble-machine-learning content-based-filtering lambdarank deep-recsys lightgbm-models lgbmranker

Updated Jul 13, 2022
Jupyter Notebook

IPVS-AS / pusion

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

ensemble-classifier ensemble-machine-learning decision-fusion fault-diagnosis hybrid-analytics autofusion auto-fusion

Updated Dec 13, 2022
Python

Improve this page

Add a description, image, and links to the ensemble-machine-learning topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ensemble-machine-learning topic, visit your repo's landing page and select "manage topics."