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Topic: "imbalanced-classes"

ZhiningLiu1998/awesome-imbalanced-learning

😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库

Size: 213 KB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 1,437 - Forks: 228

AdeelH/pytorch-multi-class-focal-loss

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Language: Python - Size: 27.3 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 235 - Forks: 26

esharma3/myers-briggs-personality-prediction

NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/

Language: Jupyter Notebook - Size: 136 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 20

LaurentVeyssier/Credit-Card-fraud-detection-using-Machine-Learning

Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances

Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 19

nive927/Flight_Delay_Prediction

A two-stage predictive machine learning engine that forecasts the on-time performance of flights for 15 different airports in the USA based on data collected in 2016 and 2017.

Language: Jupyter Notebook - Size: 3.51 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 15

mjuez/py-imbalance-degree

⚖️ Imbalance-degree measure implemented in python.

Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 2

basiralab/MV-LEAP

Multi-View LEArning-based data Proliferator (MV-LEAP) for boosting classification using highly imbalanced classes.

Language: MATLAB - Size: 2.15 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 2

Realdr4g0n/RDGAN

RDGAN(Rebalancing Data Generative Adversarial Network) implementation.

Language: Python - Size: 140 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

amajji/Multi-class-classification

Deployment of a classification model on a webapp using FLASK for the backend and html/CSS/JS for frontend

Language: Jupyter Notebook - Size: 23.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 0

ardwiinoo/knn-sentiment-analysis

⚡ Analisis sentimen machine learning based dan ketidakseimbangan kelas pada dataset

Language: Jupyter Notebook - Size: 18.8 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

ekellbuch/longtail_ensembles

Evaluating ensemble performance in long-tailed datasets (Neurips 2023 Heavy Tails Workshop)

Language: Python - Size: 1.58 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

SarangGami/Bank-Marketing-Effectiveness-Prediction-supervised-learning

The main objective is to build a predictive model that predicts whether a new client will subscribe to a term deposit or not, based on data from previous marketing campaigns.

Language: Jupyter Notebook - Size: 7.1 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

lastrye/Spatio_temporal_change_pattern

Spatio-temporal Urban Change Mapping with Time-Series SAR data

Size: 1.06 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

chenzhivis/Bank-Telemarketing-Outcome-Prediction-and-Decision-Support

Developed machine learning models that can help bank tellers to predict telemarketing campaign response from clients. Analyzed precision-recall trade off, customized for models for different business scenarios

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 2

RoshanTanisha/ML_GDG

Google Developer Group Ahmedabad - Machine Learning for Imbalanced Class Distributions Session code

Language: Jupyter Notebook - Size: 563 KB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

k-katarzyna/Lead_Conversion_Probability

"Machine learning in banking - predicting lead conversion for a lending product" - my final project from the Data Science bootcamp organized by "Kodołamacz". Article about the project: https://www.kodolamacz.pl/blog/uczenie-maszynowe-w-bankowosci/

Language: Jupyter Notebook - Size: 43.2 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

AlbertoFormaggio1/WeatherClassification

Image classification pipeline relying on Deep Learning models dealing with training over multiple datasets with unbalanced labels and classes. In addition, also classification using histogram data was done for better generalization over different datasets.

Language: Python - Size: 15.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

dwiputris/Machine-Learning-Anticipating-Churns-a-Case-of-Imbalanced-Data

With imbalanced observed data, a search for the best model is conducted. The bank is seeing its customers leave. Wondering if there are patterns to their decision to exit, the bank wishes to anticipate for this trend. When the positive class is the minority in an imbalanced dataset, a model need to be trained for robustness.

Language: Jupyter Notebook - Size: 1.03 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 9 imbalanced-data 5 python 4 pytorch 3 smote 3 imbalanced-classification 3 deep-learning 3 scikit-learn 2 feature-extraction 2 random-forest-classifier 2 data-visualization 2 feature-selection 2 classification 2 computer-vision 2 data-cleaning 2 flask 2 random-forest 2 imbalanced-learning 2 exploratory-data-analysis 2 pre-processing 2 fairness-ml 2 ensemble-learning 2 class-imbalance 2 measure 1 histograms 1 huggingface 1 image-classification 1 imbalance-degree 1 svm 1 rnn 1 gdg 1 customer-churn-prediction 1 smote-sampling 1 multicollinearity 1 model-selection 1 feature-engineering 1 data-wrangling 1 bank-marketing-analysis 1 pca 1 network-neuroscience 1 multi-view-networks 1 graph-augmentation 1 text-mining 1 social-media 1 sentiment-analysis 1 chatbot 1 retinanet 1 pytorch-implementation 1 neural-network 1 multiclass-classification 1 loss-functions 1 implementation-of-research-paper 1 skewed-data 1 fair-ml 1 awesome-list 1 awesome 1 webapplication 1 webapp 1 preprocessing 1 machine-learning-algorithms 1 imbala 1 flask-application 1 data 1 app 1 analyse-data 1 imbalanced-datasets 1 performance-metrics 1 forecasts 1 flights 1 flight-delay-prediction 1 feature-ranking 1 correlation-coefficient 1 auc-roc-curve 1 airports 1 data-science 1 banking 1 perceptron-neural-networks 1 oversampling 1 keras-tensorflow 1 imbalance-correction 1 fraud-detection 1 decision-tree-classifier 1 skicit-learn 1 logistic-regression 1 lgbmclassifier 1 urban-change 1 time-series 1 google-earth-engine 1 coherence 1 change-detetion 1 bimodal-balancing 1 data-proliferator 1 computer-aided-diagnosis 1 brain-disorders 1 boosting-algorithm 1 image-generation 1 generative-adversarial-network 1 gan 1 data-augmentation 1 cyclegan 1