ensemble-machine-learning

There are 15 repositories under ensemble-machine-learning topic.

h1st-ai / h1st
Power Tools for AI Engineers With Deadlines
data-science explainability home-automation time-series collaboration cybersecurity cold-start autonomous-vehicles automl avionics human-in-the-loop predictive-maintenance ensemble-machine-learning datascience-environment industrial-iot trustworthy-datascience energy-optimization hacktoberfest
Language:Jupyter Notebook 794
sharmapratik88 / AIML-Projects
Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning
supervised-machine-learning machine-learning knearest-neighbor-algorithm random-forest machinelearningprojects unsupervised-machine-learning logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier statistics ensemble-machine-learning oversampling data-science data-visualization datascienceproject recommendation-system catboost nlp computer-vision
Language:Jupyter Notebook 172
junchenzhi / Awesome-LLM-Ensemble
A curated list of Awesome-LLM-Ensemble papers for the survey "Harnessing Multiple Large Language Models: A Survey on LLM Ensemble"
ensemble ensemble-learning ensemble-machine-learning ensemble-models llm-agents llms multi-agent-systems llm-ensemble ensemble-prediction multi-llms large-language-models llm-routing moe routing-algorithm
Language:HTML 158
nikitaprasad21 / ML-Cheat-Codes
Machine Learning Cheatsheet 2024
adaboost-algorithm decision-trees ensemble-machine-learning linear-regression logistic-regression python random-forest tensors xgboost
Language:Jupyter Notebook 144
dkanungo / Probabilistic-ML-for-finance-and-investing
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
finance investing probabilistic-programming trading uncertainty-quantification markov-chain-monte-carlo npv-analysis project-management aleatoric-uncertainty epistemic-uncertainty epistemology ontological-information ensemble-machine-learning generative-ai probabilistic-models capm maximum-likelihood-estimation portfolio-theory hamiltonian-monte-carlo monte-carlo-simulation
Language:Jupyter Notebook 115
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
class-imbalance ensemble ensemble-machine-learning ensemble-model imbalance-classification imbalanced-data imbalanced-learn imbalanced-learning mesa meta-learning-algorithms meta-sampler meta-training
Language:Jupyter Notebook 109
FilippoMB / Ensemble-Conformalized-Quantile-Regression
Valid and adaptive prediction intervals for probabilistic time series forecasting.
conformal-prediction ensemble-machine-learning frequentist-statistics frequentistic-confidence-intervals prediction-intervals probabilistic-forecasting quantile-regression random-forest recurrent-neural-networks time-series-forecasting time-series-prediction uncertainty-quantification
Language:Jupyter Notebook 98
gkunapuli / ensemble-methods-notebooks
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
ensemble-learning ensemble-machine-learning jupyter-notebook machine-learning python scikit-learn
Language:Jupyter Notebook 91
desh2608 / dover-lap
Python package for combining diarization system outputs.
diarization dover-lap ensemble-machine-learning
Language:Python 90
louisowen6 / SENN
Code implementation of "SENN: Stock Ensemble-based Neural Network for Stock Market Prediction using Historical Stock Data and Sentiment Analysis"
stock-market-prediction neural-network ensemble-machine-learning mlp lstm cnn nlp stocktwits sentiment-analysis
Language:Jupyter Notebook 74
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 tensorflow2 sckit-learn precipitation downscaling ensemble-machine-learning deep-learning
Language:Python 56
alicex2020 / Deep-Learning-Lie-Detection
Use machine learning models to detect lies based solely on acoustic speech information
acoustic-features deep-learning ensemble-classifier ensemble-learning ensemble-machine-learning ensemble-model lie-detector machine-learning mfcc mfcc-analysis pitch-tracking support-vector-machines
Language:Jupyter Notebook 54
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.
ensemble-learning ensemble-machine-learning ensemble-classifier ensemble-model stacking stacking-ensemble blending voting machine-learning
Language:Python 53
jon-chun / sentimentarcs_notebooks
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
affective ensemble ensemble-machine-learning feature-extraction machine-learning natural-language-processing nlp peak-detection sentiment sentiment-analysis time-series time-series-analysis transformers narrative finance narrative-extraction narrative-visualization social-media story storytelling
Language:Jupyter Notebook 40
action-ai-institute / MABEL-dataset
MABEL: Malware Analysis Benchmark for Artificial Intelligence and Machine Learning
artificial-intelligence deep-learning ensemble-learning ensemble-machine-learning machine-learning malware-analysis national-science-foundation natural-language-processing nlp python reverse-engineering software-reverse-engineering threat-intelligence
29
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
pytorch pytorch-tutorial tensorflow tensorflow-tutorials pandas pandas-tutorial ensemble-learning ensemble-machine-learning word-embeddings nlp-machine-learning
Language:Jupyter Notebook 29
nsl_kdd_classification
PradeepThapa / nsl_kdd_classification
Cyber-attack classification in the network traffic database using NSL-KDD dataset
nsl-kdd classification-algorithm catboost-model cyber-attacks-analytics kdd99 ensemble-machine-learning cyber-attack-classification classification-algorithms kdd-dataset network-traffic-database machine-learning-algorithms attack u2r r2l
Language:Python 27
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.
automated-feature-preprocessor automated-machine-learning automl ensemble-encoder ensemble-machine-learning
Language:HTML 27
Haoning724 / obbstacking
Repo for the OBBStacking: An Ensemble Method for Remote Sensing Object Detection
deep-learning ensemble-machine-learning machine-learning object-detection oriented-bounding-box remote-sensing
Language:Python 19
raghavagps / toxinpred3
An improved method for predicting toxicity of the peptides and designing of non-toxic peptides
bioinformatics ensemble-machine-learning machine-learning-algorithms motif-prediction toxicity-prediction peptide-therapeutics
Language:Python 15
ramanks19 / AIML-Projects
Projects which were completed as part of assignments of Great Learning's PGP in Artificial Intelligence and Machine Learning
data-science computer-vision nlp-machine-learning recommendation-system supervised-learning unsupervised-learning ensemble-machine-learning neural-networks greatlearning
Language:HTML 15
LaxmiChaudhary / Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning
adaboost bagging bootstrap decisiontree ensemble-machine-learning exploratory-data-analysis feature-engineering feature-selection gradient-boosting kfold-cross-validation knn-regression random-forest regression-algorithms supervised-learning supervised-machine-learning support-vector-regression
Language:Jupyter Notebook 14
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.
python pandas modeling logistic-regression random-forest ensemble-machine-learning accuracy-score confusion-matrix classification-report resampling smote cluster-centroids smoteenn
Language:Jupyter Notebook 12
pm390 / recsys2022
Code repo of solution of 11th place in Recsys Challenge 2022
recommender-systems solutions content-based-filtering deep-recsys item-collaborative-filtering lightgbm-models user-collaborative-filtering lgbmranker ensemble-machine-learning ranking re-ranking lambdarank
Language:Jupyter Notebook 12
IPVS-AS / pusion
Pusion (Python Universal Fusion) is a generic and flexible framework written in Python for combining multiple classifier’s decision outcomes.
decision-fusion ensemble-classifier ensemble-machine-learning hybrid-analytics fault-diagnosis autofusion auto-fusion
Language:Python 11
aayush1036 / housing-rent-prediction
End to End Machine Learning Project along with deployment.
aws-ec2 aws-rds-mysql certbot-ssl data-analysis data-science ensemble-machine-learning flask machine-learning matplotlib-pyplot nginx numpy python python3 random-forest server sklearn sql xgboost-regression
Language:Jupyter Notebook 10
CodeByHarri / Stacking-Ensemble-Machine-Learning
Stacking Machine Learning Models. Tunning; feature engineering, scaling, models combinations and parameters.
machine-learning stacked-generalization ensemble-machine-learning regression-models classification-model
Language:Jupyter Notebook 10
deveshsangwan / Skin-lesions-classification
This repo includes classifier trained to distinct 7 type of skin lesions
deep-learning machine-learning skin-lesion-classification skin-cancer skin-lesions inception inception-v3 resnet resnet-152 convolutional-neural-networks vgg vgg19 xception xception-model ensemble-learning ensemble-model ensemble-machine-learning ham10000 harvard-dataverse
Language:Jupyter Notebook 10
abhidtu2014 / Image-splicing-detection-python
Splicing detection | ML
image-processing image-segmentation splicing-detection sift-algorithm zernike cross-validation ensemble-machine-learning machine-learning image-classification binary-classification image-splicing-detection pca-analysis kpca-analysis haralick-features
Language:Python 9
davidmasse / US-supreme-court-prediction
Predicting the ideological direction of Supreme Court decisions: ensemble vs. unified case-based model
classification-model categorical-features curse-of-dimensionality-solution ensemble-machine-learning data-leakage feature-importance pipeline-framework
Language:Jupyter Notebook 8
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.
anomaly-detection ensemble-machine-learning nuclear python regression-algorithms time-series wind
Language:Python 8
kafisatz / DecisionTrees.jl
Julia Decision Tree Algorithms for Regression
decision-trees regression actuarial ensemble-machine-learning boosting-algorithms decisiontrees julia julialang decisiontree
Language:Julia 8
omarmhaimdat / xgboost_student_performance
Introduction to XGBoost with an Implementation in an iOS Application
xgboost xgboost-algorithm xgboost-python coremltools ios-app ios-swift swift python machine-learning ensemble-machine-learning decision-tree-regression
Language:Swift 8
wahyudesu / Marketing-Spend-Optimization-using-Machine-Learning
ensemble ensemble-machine-learning marketing optimization python
Language:HTML 8
HarryMills / GASEN
Genetic Algorithm based Selective Neural Network Ensemble
machine-learning genetic-optimization-algorithm nerual-network genetic-algorithm python ensemble-machine-learning
Language:Python 7
ua-datalab / MLWorkshops
UArizona DataLab Workshops
bagging-ensemble classification-algorithm clustering-algorithm dimensionality-reduction ensemble-machine-learning machine-learning machine-learning-algorithms regression-algorithms supervised-machine-learning unsupervised-machine-learning
Language:Jupyter Notebook 7

ensemble-machine-learning

h1st-ai / h1st

sharmapratik88 / AIML-Projects

junchenzhi / Awesome-LLM-Ensemble

nikitaprasad21 / ML-Cheat-Codes

dkanungo / Probabilistic-ML-for-finance-and-investing

ZhiningLiu1998 / mesa

FilippoMB / Ensemble-Conformalized-Quantile-Regression

gkunapuli / ensemble-methods-notebooks

desh2608 / dover-lap

louisowen6 / SENN

Dan-Boat / PyESD

alicex2020 / Deep-Learning-Lie-Detection

FernandoLpz / Stacking-Blending-Voting-Ensembles

jon-chun / sentimentarcs_notebooks

action-ai-institute / MABEL-dataset

ashishpatel26 / Most-used-ML-Packages

PradeepThapa / nsl_kdd_classification

tonyleidong / OptimalFlow

Haoning724 / obbstacking

raghavagps / toxinpred3

ramanks19 / AIML-Projects

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

fischlerben / Machine-Learning-Credit-Risk

pm390 / recsys2022

IPVS-AS / pusion

aayush1036 / housing-rent-prediction

CodeByHarri / Stacking-Ensemble-Machine-Learning

deveshsangwan / Skin-lesions-classification

abhidtu2014 / Image-splicing-detection-python

davidmasse / US-supreme-court-prediction

IvanVigor / Local-Fusion-Dynamic-Weighted-Ensemble

kafisatz / DecisionTrees.jl

omarmhaimdat / xgboost_student_performance

wahyudesu / Marketing-Spend-Optimization-using-Machine-Learning

HarryMills / GASEN

ua-datalab / MLWorkshops