Projects in Awesome Lists tagged with ensemble-learning

https://github.com/autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

autogluon automated-machine-learning automl computer-vision data-science deep-learning ensemble-learning forecasting gluon hyperparameter-optimization machine-learning natural-language-processing object-detection python pytorch scikit-learn structured-data tabular-data time-series transfer-learning

Last synced: 16 Dec 2024

https://github.com/h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

automl big-data data-science deep-learning distributed ensemble-learning gbm gpu h2o h2o-automl hadoop java machine-learning naive-bayes opensource pca python r random-forest spark

Last synced: 16 Dec 2024

https://github.com/mingchaozhu/deeplearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 19 Dec 2024

https://github.com/MingchaoZhu/DeepLearning

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

bayesian deep-learning ensemble-learning machine-learning python regularization xgboost

Last synced: 09 Nov 2024

https://github.com/boltzmannentropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

Last synced: 20 Dec 2024

https://github.com/BoltzmannEntropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

Last synced: 30 Oct 2024

https://github.com/salesforce/merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 17 Dec 2024

https://github.com/salesforce/Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

anomaly-detection automl benchmarking ensemble-learning forecasting machine-learning time-series

Last synced: 30 Oct 2024

https://github.com/alan-turing-institute/MLJ.jl

A Julia machine learning framework

classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters

Last synced: 14 Nov 2024

https://github.com/juliaai/mlj.jl

A Julia machine learning framework

classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters

Last synced: 18 Dec 2024

https://github.com/JuliaAI/MLJ.jl

A Julia machine learning framework

classification clustering data-science ensemble-learning julia machine-learning pipeline pipelines predictive-modeling regression stacking statistics tuning tuning-parameters

Last synced: 27 Oct 2024

https://github.com/justmarkham/dat8

General Assembly's 2015 Data Science course in Washington, DC

clustering course data-analysis data-cleaning data-science data-visualization decision-trees ensemble-learning jupyter-notebook linear-regression logistic-regression machine-learning model-evaluation naive-bayes natural-language-processing pandas python regular-expressions scikit-learn web-scraping

Last synced: 20 Dec 2024

https://github.com/kingfengji/gcforest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

deep-forest ensemble-learning machine-learning random-forest

Last synced: 15 Dec 2024

https://github.com/kingfengji/gcForest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

deep-forest ensemble-learning machine-learning random-forest

Last synced: 16 Nov 2024

https://github.com/reiinakano/xcessiv

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

automated-machine-learning data-science ensemble-learning hyperparameter-optimization machine-learning scikit-learn stacked-ensembles

Last synced: 21 Dec 2024

https://github.com/torchensemble-community/ensemble-pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 18 Dec 2024

https://github.com/TorchEnsemble-Community/Ensemble-Pytorch

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

bagging deep-learning deeplearning ensemble ensemble-learning gradient-boosting neural-networks pytorch pytorch-tutorial voting-classifier

Last synced: 15 Nov 2024

https://github.com/LAMDA-NJU/Deep-Forest

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

deep-forest ensemble-learning machine-learning python random-forest

Last synced: 12 Nov 2024

https://github.com/Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 06 Nov 2024

https://github.com/flennerhag/mlens

ML-Ensemble – high performance ensemble learning

ensemble ensemble-learning ensembles learners machine-learning python stack stacking

Last synced: 05 Nov 2024

https://github.com/shubhomoydas/ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

active-learning adversarial-attacks anogan anomaly-detection autoencoder concept-drift ensemble-learning explaination gan generative-adversarial-network graph-convolutional-networks interpretability lstm nettack rnn streaming time-series timeseries trees unsuperivsed

Last synced: 27 Oct 2024

https://github.com/vecxoz/vecstack

Python package for stacking (machine learning technique)

bagging blending ensemble ensemble-learning ensembling explain-stacking machine-learning stacked-generalization stacking stacking-tutorial

Last synced: 15 Nov 2024

https://github.com/yzhao062/combo

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

aggregation data-mining data-science ensemble-learning machine-learning machine-learning-pipelines model-combination pipeline-framework python

Last synced: 21 Dec 2024

https://github.com/scikit-learn-contrib/DESlib

A Python library for dynamic classifier and ensemble selection

classifier-ensembles diversity diversity-measures dynamic-ensembles dynamic-selection ensemble-learning ensemble-prediction ensemble-selection

Last synced: 15 Nov 2024

https://github.com/scikit-learn-contrib/deslib

A Python library for dynamic classifier and ensemble selection

classifier-ensembles diversity diversity-measures dynamic-ensembles dynamic-selection ensemble-learning ensemble-prediction ensemble-selection

Last synced: 20 Dec 2024

https://github.com/kk7nc/rmdl

RMDL: Random Multimodel Deep Learning for Classification

classification cnn convolutional-neural-networks data-mining deep-learning deep-neural-networks dnn ensemble-learning image-classification information-retrieval keras machine-learning multimodel recurrent-neural-networks rnn tensorflow text-classification text-mining

Last synced: 18 Dec 2024

https://github.com/ledell/user-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial

Last synced: 16 Dec 2024

https://github.com/ledell/useR-machine-learning-tutorial

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

data-science deep-learning ensemble-learning gradient-boosting-machine machine-learning r random-forest tutorial

Last synced: 27 Nov 2024

https://github.com/mdabros/SharpLearning

Machine learning for C# .Net

adaboost cross-validation csharp decision-trees deep-learning dotnet ensemble-learning gradient-boosting-machine learning machine machine-learning metrics neural-nets opensource random-forest

Last synced: 13 Nov 2024

https://github.com/Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

autonomous-vehicles bayesian-optimization catboost cicids2017 cyber-security decision-tree ensemble-learning hpo hyperparameter-optimization intrusion-detection intrusion-detection-system kmeans lightgbm machine-learning network-security python-examples random-forest stacking xgboost

Last synced: 28 Nov 2024

https://github.com/ibm/automlpipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

automl chaining classification data-mining data-mining-algorithms data-science ensemble-learning julia machine-learning machine-learning-models pipeline pipeline-optimization pipeline-structure scikitlearn-wrapper stacking symbolic-expressions symbolic-pipeline

Last synced: 16 Dec 2024

https://github.com/IBM/AutoMLPipeline.jl

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

automl chaining classification data-mining data-mining-algorithms data-science ensemble-learning julia machine-learning machine-learning-models pipeline pipeline-optimization pipeline-structure scikitlearn-wrapper stacking symbolic-expressions symbolic-pipeline

Last synced: 13 Nov 2024

https://github.com/datacanvasio/hypergbm

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 20 Dec 2024

https://github.com/zhiningliu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 20 Dec 2024

https://github.com/DataCanvasIO/HyperGBM

A full pipeline AutoML tool for tabular data

adversarial-validation automl catboost dask dask-distributed datacleaning distributed-training ensemble-learning fullpipeline gbm gpu-acceleration lightgbm preprocessing pseudo-labeling rapidsai semi-supervised-learning sklearn tabular-data xgboost

Last synced: 16 Nov 2024

https://github.com/ZhiningLiu1998/imbalanced-ensemble

🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库

class-imbalance classification data-mining data-science ensemble ensemble-imbalanced-learning ensemble-learning ensemble-model imbalanced-classification imbalanced-data imbalanced-learning long-tail machine-learning multi-class-classification python python3 scikit-learn sklearn

Last synced: 07 Nov 2024

https://github.com/zhiningliu1998/self-paced-ensemble

[ICDE'20] ⚖️ A general, efficient ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

class-imbalance classification ensemble ensemble-learning ensemble-methods ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning machine-learning pypi python3

Last synced: 21 Dec 2024

https://github.com/skggm/skggm

Scikit-learn compatible estimation of general graphical models

concentration-graph covariance-matrix ensemble-learning gaussian-graphical-models general-graphical-models graphical-lasso graphical-models machine-learning nonparametric precision-matrix rank-correlation scikit-learn skggm

Last synced: 21 Dec 2024

https://github.com/ikki407/stacking

Stacked Generalization (Ensemble Learning)

ensemble ensemble-learning prediction scikit-learn stacking xgboost

Last synced: 17 Dec 2024

https://github.com/benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

classifier deep-learning ensemble ensemble-learning explainable-ai explainable-ml game-theory game-theory-toolbox machine-learning owen random-forest random-forest-classifier shapley shapley-value voting-classifier voting-game weighted-voting-games

Last synced: 15 Dec 2024

https://github.com/pycroscopy/atomai

Deep and Machine Learning for Microscopy

deep-kernel-learning deep-learning electron-microscopy ensemble-learning fully-convolutional-networks google-colaboratory imaging jupyter-notebook machine-learning materials materials-science microscopy multivariate-analysis pytorch scanning-probe-microscopy semantic-segmentation variational-autoencoders

Last synced: 21 Dec 2024

https://github.com/dice-group/FOX

Federated Knowledge Extraction Framework

ensemble-learning linked-data named-entity-recognition relation-extraction

Last synced: 04 Nov 2024

https://github.com/koriavinash1/deepbrainseg

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

artificial-intelligence biomedical-image-analysis brain-segmentation brain-tumor brain-tumor-segmentation brats deep-convolutional-neural-networks deep-learning ensemble-learning medical-image-analysis segmentation

Last synced: 15 Dec 2024

https://github.com/mlr-org/mlr3pipelines

Dataflow Programming for Machine Learning in R

bagging data-science dataflow-programming ensemble-learning machine-learning mlr3 pipelines preprocessing r r-package stacking

Last synced: 21 Dec 2024

https://github.com/levyben/DeepSuperLearner

DeepSuperLearner - Python implementation of the deep ensemble algorithm

classification-algorithm ensemble-learning machine-learning

Last synced: 27 Nov 2024

https://github.com/dpys/pynets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

brain-connectivity decision-trees dipy dmri ensemble-learning ensemble-sampling fmri fuzzy-logic graph-neural-networks gridsearch multiverse networks networkx nilearn nipype optimization tractography workflow

Last synced: 15 Dec 2024

https://github.com/dPys/PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

brain-connectivity decision-trees dipy dmri ensemble-learning ensemble-sampling fmri fuzzy-logic graph-neural-networks gridsearch multiverse networks networkx nilearn nipype optimization tractography workflow

Last synced: 12 Nov 2024

https://github.com/bhargavvader/pycobra

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

aggregation classification ensemble-learning machine-learning-algorithms machine-learning-library predictor python-library regression scikit-learn visualisation visualization voronoi-diagram

Last synced: 10 Nov 2024

https://github.com/IBM/TSML.jl

A package for time series data processing, classification, clustering, and prediction.

data-processing-system data-workflow ensemble-learning julia-package machine-learning-api time-series-data-mining

Last synced: 13 Nov 2024

https://github.com/tlverse/sl3

💪 🤔 Modern Super Learning with Machine Learning Pipelines

data-science ensemble-learning ensemble-model machine-learning model-selection r r-package regression stacking statistics

Last synced: 11 Nov 2024

https://github.com/business-science/modeltime.ensemble

Time Series Ensemble Forecasting

ensemble ensemble-learning forecast forecasting modeltime r-package stacking stacking-ensemble tidymodels time time-series timeseries

Last synced: 18 Dec 2024

https://github.com/chinmaynehate/dfspot-deepfake-recognition

Determine whether a given video sequence has been manipulated or synthetically generated

deep-learning deep-neural-networks deepfake-detection-challenge deepfakes deepfakes-classification efficientnet ensemble-learning faceforensics fake-news pytorch siamese-network transfer-learning triplet-loss vision-transformers

Last synced: 11 Dec 2024

https://github.com/abhishekkrthakur/pysembler

An automatic ensembler of machine learning models in python

ensemble-learning machine-learning

Last synced: 22 Oct 2024

https://github.com/jonghough/jlearn

Machine Learning Library, written in J

clustering convolutional-neural-networks deep-learning ensemble-learning gaussian-mixture-models gaussian-processes hierarchical-clustering j k-means knn-classifier learning lstm machine-learning multilayer-perceptron-network principal-component-analysis rbm restricted-boltzmann-machines self-organizing-map

Last synced: 11 Nov 2024

https://github.com/PKU-DAIR/mindware

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

automl-algorithms automl-pipeline bayesian-optimization blackbox-optimization data-science deep-learning distributed-systems ensemble-learning hyper-parameter-optimization knobs-tuning machine-learning meta-learning neural-architecture-search python

Last synced: 16 Nov 2024

https://github.com/ledell/subsemble

subsemble R package for ensemble learning on subsets of data

big-data cross-validation ensemble ensemble-learning machine-learning machine-learning-algorithms r

Last synced: 27 Oct 2024

https://github.com/sravb/computer-vision-weightlifting-coach

Analyzes weightlifting videos for correct posture using pose estimation with OpenCV

computer-vision elastic-net ensemble-learning keypoint-detection lasso-regression logistic-regression machine-learning mpii-dataset opencv openpose pose-estimation random-forest ridge-regression weightlifting

Last synced: 17 Nov 2024

https://github.com/liyuanlucasliu/arabicner

Arabic NER system with a strong performance

arabic-nlp contextualized-representation ensemble-learning ner pretrained-models sequence-labeling

Last synced: 09 Nov 2024

https://github.com/hmgomes/adaptiverandomforest

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

classification concept-drift datastream decision-trees ensemble ensemble-learning moa random-forest

Last synced: 23 Nov 2024

https://github.com/ashishpatel26/meta-learning-

Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experiments.

andrew-ng appliedaicourse chainer cnn coursera deeplearning dl ensemble ensemble-learning keras machine-learning metalearning ml pytorch tensorflow

Last synced: 19 Nov 2024

https://github.com/nanxstats/stackgbm

🌳 Stacked Gradient Boosting Machines

automl catboost decision-trees ensemble-learning gbdt gbm gradient-boosting lightgbm machine-learning model-stacking xgboost

Last synced: 16 Nov 2024

https://github.com/pierrenodet/spark-ensemble

Ensemble Learning for Apache Spark 🌲

bagging boosting ensemble-learning gbm machine-learning scala spark spark-ml stacking

Last synced: 11 Oct 2024

https://github.com/farshidrayhancv/CUSBoost

adaboost algorithm cusboost ensemble-learning python rusboost

Last synced: 05 Nov 2024

https://github.com/wnma3mz/flearn

Federated Learning Framework

deep-learning ensemble-learning federated-learning framework privacy-protection pytorch

Last synced: 13 Nov 2024

https://github.com/gtesei/fast-furious

code (R, Matlab/Octave), models and meta-models I needed in my Machine Learning Lab but I didn't found on the shelf

ensemble-learning gradient-boosting-machine matlab metamodel model neural-network octave r svm

Last synced: 12 Nov 2024

https://github.com/benkeser/drtmle

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

causal-inference ensemble-learning iptw statistical-inference tmle

Last synced: 16 Dec 2024

https://github.com/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

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

Last synced: 19 Nov 2024

https://github.com/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 16 Nov 2024

https://github.com/phuijse/machinelearningbook

Libro virtual sobre Machine Learning

deep-learning ensemble-learning machine-learning neural-networks

Last synced: 15 Nov 2024

https://github.com/benkeser/survtmle

Targeted Learning for Survival Analysis

competing-risks ensemble-learning survival-analysis tmle

Last synced: 16 Dec 2024

https://github.com/adityajn105/mlfromscratch

Library for machine learning where all algorithms are implemented from scratch. Used only numpy.

clustering-algorithm decision-trees ensemble-learning evaluation-metrics from-scratch hacktoberfest implementation-of-algorithms linear-models machine-learning machine-learning-algorithms mlfromscratch naive-bayes

Last synced: 15 Nov 2024

https://github.com/mdh266/randomforests

Random Forest Library In Python Compatible with Scikit-Learn

classification data-science decision-tree ensemble-learning machine-learning machine-learning-algorithms pandas python random-forest regression scikit-learn

Last synced: 04 Dec 2024

https://github.com/yell/kaggle-camera

My solution to Kaggle challenge "IEEE Camera Model Identification" [top 3%]

camera classification computer-vision deep-learning densenet densenet-pytorch ensemble ensemble-learning ensemble-stacking kaggle kaggle-competition machine-learning pytorch resnet resnext stacking

Last synced: 23 Oct 2024

https://github.com/skblaz/autobot

An autoML for explainable text classification.

automl automl-algorithms automl-experiments classification data-mining data-science distributed-computing ensemble-learning evolutionary-algorithms machine-learning multimodal-learning natural-language-processing nlp python representation-learning sparse-matrices text-classification transfer-learning transformers-models

Last synced: 17 Dec 2024

https://github.com/sun1638650145/classicml

简单易用的经典机器学习框架

adaboost bagging cluster cpp17 decision-tree eigen ensemble-learning framework linear-discriminant-analysis logistic-regression machine-learning naive-bayes-classifier neural-network pybind11 python support-vector-machine

Last synced: 08 Nov 2024

https://github.com/amogh7joshi/farmland-anomalies

Detecting and segmenting destructive anomalies in farmland from satellite images, improving time, efficiency, and crop yield.

agricultural-ai agriculture anomalies crop-fields deep-learning ensemble-learning image-segmentation neural-networks semantic-segmantation

Last synced: 05 Dec 2024

https://github.com/naibowang/data-free-ensemble-selection-for-one-shot-federated-learning

Data-Free Ensemble Selection For One-Shot Federated Learning

deep-learning ensemble-learning ensemble-pruning ensemble-selection federated-learning machine-learning model-market one-shot-learning pytorch

Last synced: 08 Nov 2024

https://github.com/jinensetpal/archimede

DANKMEMES Shared Task for EVALITA 2020

bert-embeddings ensemble-learning evalita2020 machine-learning memes nlp python pytorch tensorflow2 transfer-learning

Last synced: 23 Oct 2024

https://github.com/deveshsangwan/skin-lesions-classification

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

convolutional-neural-networks deep-learning ensemble-learning ensemble-machine-learning ensemble-model ham10000 harvard-dataverse inception inception-v3 machine-learning resnet resnet-152 skin-cancer skin-lesion-classification skin-lesions vgg vgg19 xception xception-model

Last synced: 11 Oct 2024

https://github.com/ruban2205/machine_learning_fundamentals

This repository contains a collection of fundamental topics and techniques in machine learning. It aims to provide a comprehensive understanding of various aspects of machine learning through simplified notebooks. Each topic is covered in a separate notebook, allowing for easy exploration and learning.

adaboost-classifier agglomerative-clustering apriori-algorithm data-preprocessing data-science ensemble-learning fuzzy-cmeans-clustering machine-learning machine-learning-algorithms machine-learning-models multilayer-perceptron python random-forest-classifier self-organizing-map single-layer-perceptron

Last synced: 21 Nov 2024

https://github.com/nano-bot01/heart-disease-prediction-using-machine-and-deep-learning-techniques

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

classification collage-project deep-learning ensemble-learning heart-disease heart-disease-prediction machine-learning pickle-file spyder spyder-python-ide streamlit streamlit-webapp voting-classifier webpage

Last synced: 18 Nov 2024

https://github.com/justinlovinger/optimal-py-learning

Python machine learning library using powerful numerical optimization methods.

bfgs ensemble-learning gradient-descent l-bfgs linear-regression machine-learning mlp multilayer-perceptron neural-network optimization python rbf-network regression self-organizing-map som supervised-learning

Last synced: 06 Dec 2024

https://github.com/donny-hikari/adaboost

A simplified implement of Adaptive boosting.

adaboost boosting decision-stumps ensemble-learning machine-learning

Last synced: 15 Nov 2024

https://github.com/rednafi/indoor-movement-prediction

Predicting user movements from temporal streams of RSS (Radio Signal Strength) measured between the nodes of a WSN (Wireless Sensor Network WSN)

classification ensemble-learning machine-learning plotly-express timeseries-analysis

Last synced: 10 Nov 2024

https://github.com/grassknoted/realtime-answer-evaluation

A real-time automated answer scoring system using ensemble learning.

deep-learning education ensemble-learning

Last synced: 17 Nov 2024

https://github.com/imharshag/nids-using-ml

This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats

datamining ensemble-learning gaussian-naive-bayes knn label-encoding matplotlib network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis python random-forest recursive-feature-elimination sklearn svm voting-classifier xgboost

Last synced: 17 Nov 2024

https://github.com/ewilk0/sklearn_special_ensembles

A library that creates robust, special-purpose ensembles from sklearn-type base models.

artificial-intelligence data-science ensemble-learning machine-learning

Last synced: 13 Oct 2024

https://github.com/stewartpark/scikit-small-ensemble

scikit-small-ensemble is a library to make your ensemble models(Random Forest Classifier, etc) have a small memory footprint/usage.

compression ensemble-learning lz4 mmap random-forest-classifier scikit-learn

Last synced: 21 Nov 2024

https://github.com/didierrlopes/step-detection-ml

Step Detection using SVM on NURVV trackers

ensemble-learning exploratory-data-analysis imu-sensor kmeans-clustering machine-learning sensor-fusion step-detection svm

Last synced: 24 Nov 2024

https://github.com/jaydu1/overparameterized-ensembling

Ensemble methods in overparameterized learning

cross-validation ensemble-learning overparameterized-learning

Last synced: 14 Oct 2024

https://github.com/lennartpurucker/cma-es-posthocensemblingautoml

Repository for Reproducibility for the Paper: "CMA-ES for Post Hoc Ensembling in AutoML: A Great Success and Salvageable Failure".

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 05 Dec 2024

https://github.com/lennartpurucker/populationbasedqdo-posthocensembleselectionautoml

Repository for Reproducibility for the Paper: "Q(D)O-ES: Population-based Quality (Diversity) Optimisation for Post Hoc Ensemble Selection in AutoML"

automated-machine-learning automl ensemble-learning ensembles machine-learning post-hoc-ensembles reproducibility

Last synced: 05 Dec 2024

https://github.com/shreyamalogi/credit-card-fraud-detection-system

A Credit Card Fraud Detection System using Adaboost and Majority Voting, designed to identify fraudulent credit card transactions by combining the strength of multiple classifiers.

adaboost ensemble-learning majority-voting python scikit-learn

Last synced: 09 Dec 2024

https://github.com/somenath203/tomato-leaf-disease-classification-ten-classes

Click below to checkout the website

cloudinary cnn deep-learning ensemble-learning expressjs fastapi huggingface mern mongodb react render tensorflow tomato-leaf-disease transfer-learning vercel

Last synced: 19 Nov 2024

https://github.com/sgreben/caretstack

R package for stacking caret models

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Last synced: 14 Dec 2024

https://github.com/ulf1/maxjoshua

Feature selection for hard voting classifier and NN sparse weight initialization.

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Last synced: 28 Oct 2024

https://github.com/kingabzpro/covid19-vaccine-ml-pipeline

Designing your first machine learning pipeline with few lines of codes using Orchest. You will learn to preprocess the data, train the machine learning model, and evaluate the results.

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