Alternatives and similar repositories for over-under-sampling:

Users that are interested in over-under-sampling are comparing it to the libraries listed below

• adityalahiri / pydata-imbalanced
  Notebook for the talk at PyData NYC 2019 on Dealing With Imbalanced Classes in Machine Learning
  ☆12Updated last year
• PacktPublishing / Hands-on-Unsupervised-Learning-with-Python
  Hands on Unsupervised Learning with Python [Video], Published by Packt
  ☆29Updated 2 years ago
• gevaertlab / DAPL
  Autoencoder network for imputing missing values
  ☆27Updated 5 years ago
• PacktPublishing / Hands-On-Automated-Machine-Learning
  Hands-On Automated Machine Learning, published by Packt
  ☆70Updated 2 years ago
• Apress / beginning-anomaly-detection-using-python-based-dl
  Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari
  ☆84Updated 5 years ago
• kevinclee26 / sentiment_analysis_classification
  ☆18Updated 3 years ago
• llSourcell / ISL-Ridge-Lasso
  ☆21Updated 5 years ago
• anki1909 / Recruit-Restaurant-Visitor-Forecasting
  6th place solution for Recruit-Restaurant-Visitor-Forecasting
  ☆17Updated 7 years ago
• PacktPublishing / Deep-Learning-Projects-with-PyTorch
  Deep Learning Projects with PyTorch [video], published by Packt
  ☆12Updated 4 years ago
• mdh266 / TextClassificationApp
  Building and Deploying A Serverless Text Classification Web App
  ☆18Updated last year
• apoorva1995reddy / Web-Traffic-Forecasting-
  Cognitive Computing Final Project
  ☆7Updated 6 years ago
• MLSurvival / TransferCox
  Transfer Learning for Survival Analysis via Efficient L2,1-norm Regularized Cox Regression
  ☆13Updated 8 years ago
• dchannah / fraudhacker
  Anomaly detection system for medical insurance claims data
  ☆15Updated 7 years ago
• morganmcg1 / kaggle_rsna_2nd_place_solution
  Notebooks to accompany the blog posts about the 2nd place Kaggle RSNA winners: https://github.com/darraghdog/rsna
  ☆30Updated 5 years ago
• KwokHing / SentimentAnalysis-Python-Demo
  Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the per…
  ☆15Updated 2 years ago
• amyoshino / Recommendation-System-with-Apriori-and-ECLAT
  Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms
  ☆30Updated 7 years ago
• mldataanalysis / Dealing-With-Imbalanced-Data
  Using Imblearn To Tackle Imbalanced Data Sets
  ☆37Updated 8 years ago
• vellab / Insurance-claim-prediction
  A machine learning algorithm written to predict severity of insurance claim
  ☆20Updated 8 years ago
• SamanKhamesian / Credit-Card-Fraud-Detection
  This project is an implementation of credit card fraud detection using Hidden Markov Model (HMM)
  ☆13Updated 5 years ago
• chudzikr / Fraud_Detection_in_Python
  Fraud Detection in Python, DataCamp course
  ☆12Updated 5 years ago
• frederickayala / session-based-recsys
  Tutorials on session-based recommender systems
  ☆11Updated 7 years ago
• deepakrana47 / RNN-attention-network
  Here a simple implementation of RNN + attention neural network on IMDB movie reviews.
  ☆11Updated 6 years ago
• thismlguy / easyML
  A Python Package for data processing and building ML models, primarily based on pandas and sklearn libraries.
  ☆17Updated 5 years ago
• PacktPublishing / Hands-On-Ensemble-Learning-with-Python
  Hands-On Ensemble Learning with Python, published by packt publishing
  ☆55Updated 2 years ago
• davifrossard / iml
  Introduction to Machine Learning - UFES - 2016/2 - Course Slides
  ☆49Updated 8 years ago
• nikadeap / RFM-Analysis
  RFM (recency, frequency, monetary) analysis
  ☆13Updated 6 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆52Updated 7 years ago
• saritmaitra / Segmentation-Clustering
  Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…
  ☆15Updated last year
• lucko515 / dataset-dimensionality-reduction-python
  Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dime…
  ☆19Updated 7 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 9 years ago