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Topic: "ensembling"

sberbank-ai-lab/LightAutoML 📦

LAMA - automatic model creation framework

Language: Python - Size: 23.4 MB - Last synced at: 7 days ago - Pushed at: about 3 years ago - Stars: 925 - Forks: 96

vecxoz/vecstack

Python package for stacking (machine learning technique)

Language: Python - Size: 520 KB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 692 - Forks: 83

yzhao062/awesome-ensemble-learning

Ensemble learning related books, papers, videos, and toolboxes

Language: Python - Size: 16.6 KB - Last synced at: 3 days ago - Pushed at: over 5 years ago - Stars: 293 - Forks: 56

Yu-Group/veridical-flow

Making it easier to build stable, trustworthy data-science pipelines based on the PCS framework.

Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 71 - Forks: 7

sharmaroshan/Predicting_Money_Spent_at_Resort

It is From Analytics Vidhya Hackathons, Sponsored by Club Mahindra. It is based on Regression Problem, Where Accuracy matters the most, It is measured by RMSE Score. Different Techniques such as Stacking, Ensembling, Boosting and Scientific Operations such box-cox Operations to reduce skewness of the data.

Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 7 - Forks: 3

ISG-Siegen/lenskit-auto

An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.

Language: Python - Size: 2.55 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 1

naturenurtureelite/Legal-AI

Ensemble methods for improving extractive summarization of legal case judgements

Language: Python - Size: 8.63 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

ilplo/MetaStackVis

Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

Language: Python - Size: 332 MB - Last synced at: 14 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SwissFederalArchives/tcc-metadata-anonymization

An named-entity-recognition (NER) based anonymizer for archival documents metadata.

Language: Jupyter Notebook - Size: 4.16 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

Kratos-is-here/DeepFakes-Detection

Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else's likeness. We make a model which is efficient in detecting one.

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

k-loki/Shell-ai-2021-hackathon

This is 35th place solution to shell ai hackathon hosted on HackerEarth platform.

Language: Jupyter Notebook - Size: 728 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

mjpost/abe

Code and data for "agreement-based ensembling": token-level ensembling of models with different vocabularies

Language: Roff - Size: 47.5 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Bhuvan-S-prasad/Customer-Churn-Analysis-and-Model-Comparison

analyzing customer churn using various machine learning models and visualizing key insights through exploratory data analysis (EDA). The goal is to compare the performance of different algorithms and identify the best-performing model for predicting customer churn.

Language: Jupyter Notebook - Size: 703 KB - Last synced at: 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

nglaz0v/approachingalmost Fork of abhishekkrthakur/approachingalmost

Approaching (Almost) Any Machine Learning Problem

Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

kunal2812/Mini-Project

Language: Jupyter Notebook - Size: 225 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

karthik-d/Boilerplate-for-Active-Learning

Templated boilerplate to perform Active Learning.

Language: Python - Size: 49.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Krystkowiakk/Heart-Disease-Patients-Classification

Metis project 4/7

Language: Jupyter Notebook - Size: 9.18 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

johanattia/text-classification-baseline

Deep Learning baselines for text classification with TensorFlow

Language: Python - Size: 1.21 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ritik872000/Data-Science-Portfolio

This repo consists of notebooks I created to work upon the skills I learnt through several courses. All notebook has EDA, Model Building, Hyperparameter Tuning, Ensemble Models and Sampling Techniques.

Language: Jupyter Notebook - Size: 5.21 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

tanish-g/kaggle-competition-MOVIES-GENRE-CLASSIFICATION-

Competition was Classify This Movie by Genre Prediction of Movies based on their Poster

Language: Jupyter Notebook - Size: 3.09 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 1

tokarevart/parallel-ensembling

C++ OpenMP and CUDA implementation of parallel ensembling of global stiffness matrix.

Language: C++ - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 10 data-science 4 ensemble-learning 4 stacking 4 logistic-regression 3 regression 3 nlp 3 seaborn 3 deep-learning 3 bagging 2 classification 2 feature-engineering 2 kaggle 2 automl 2 python 2 random-forest 2 hyperparameter-optimization 2 tensorflow 2 pytorch 2 xgboost 2 ml 2 boosting 2 eda 2 stacked-generalization 2 text-classification 2 tutorial 2 palettes 1 exploratory-data-analysis 1 predictive-modeling 1 robust-scaling 1 image-segmentation 1 image-classification 1 scipy 1 deep-neural-networks 1 cnn 1 feature-selection 1 transformer 1 legal 1 summarization 1 categorical-variables 1 cross-validation 1 evaluation-metrics 1 docker 1 smac3 1 recommender-system 1 random-search 1 bayesian-optimization 1 autorecsys 1 algorithm-selection 1 workflow 1 statistics 1 stability 1 python3 1 preprocessing 1 pandas 1 ai 1 whitebox 1 pipeline 1 parameter-tuning 1 multiclass 1 model-selection 1 linear-model 1 lama 1 gradient-boosting 1 blackbox 1 automated-machine-learning 1 translation 1 decoding 1 support-vector-machines 1 supervised-learning 1 naive-bayes-classifier 1 regularization 1 recall 1 randomizedsearchcv 1 naive-bayes 1 knn 1 imbalanced-data 1 heart-disease 1 ner 1 named-entity-recognition 1 multilayer-perceptron 1 information-extraction 1 de-identification 1 conditional-random-fields 1 anonymization 1 visualization 1 metamodels 1 fastai-library 1 parallel-processing 1 openmp 1 multi-threading 1 cuda 1 cpp 1 boundary-value-problem 1 hyperparameter-tuning 1 data-visualizations 1 bivariate-analysis 1 machine 1 log-transformation 1 lgboost 1