Alternatives and similar repositories for Dealing-With-Imbalanced-Data

Users that are interested in Dealing-With-Imbalanced-Data are comparing it to the libraries listed below

• ceshine / favorita_sales_forecasting
  Solution to Corporación Favorita Grocery Sales Forecasting Competition
  ☆28Updated 7 years ago
• flytxtds / AutoGBT
  AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…
  ☆114Updated 5 years ago
• NeerajSarwan / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆46Updated 6 years ago
• analyticsvidhya / CPT
  This is the native Python implementation of CPT(compact Prediction Tree)
  ☆80Updated 7 years ago
• jfpuget / Kaggle
  My solution to Web Traffic Predictions competition on Kaggle.
  ☆153Updated 7 years ago
• PacktPublishing / Ensemble-Machine-Learning
  Code repository for Ensemble Machine Learning, published by Packt
  ☆52Updated 4 years ago
• zygmuntz / time-series-classification
  Classifying time series using feature extraction
  ☆85Updated 6 years ago
• wangz10 / class_imbalance
  Jupyter Notebook presentation for class imbalance in binary classification
  ☆48Updated 7 years ago
• bhimmetoglu / kaggle_101
  Some work on Kaggle data for fun
  ☆64Updated 8 years ago
• pipidog / DeepTimeSeries
  A Keras-based library for analysis of time series data using deep learning algorithms.
  ☆117Updated 7 years ago
• ndemir / stacking
  Template for Stacking (Stacked Generalization) Ensemble Method
  ☆37Updated 9 years ago
• gregtam / interpreting-decision-trees-and-random-forests
  Unwrapping decision trees and random forests to make them less of a black box
  ☆62Updated 8 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆226Updated 7 years ago
• cran2367 / autoencoder_classifier
  Autoencoder model for rare event classification
  ☆105Updated 6 years ago
• manifoldai / mf-eng-public
  ☆50Updated 7 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• tcassou / mlencoders
  Machine Learning encoders for feature transformation & engineering: target encoder, weight of evidence, label encoder.
  ☆23Updated 5 years ago
• fehiepsi / web-traffic-time-series-forecasting
  kaggle competition: https://www.kaggle.com/c/web-traffic-time-series-forecasting
  ☆16Updated 8 years ago
• goldentom42 / py_ml_utils
  Python utilities for Machine Learning competitions
  ☆32Updated 7 years ago
• IBM / xgboost-smote-detect-fraud
  Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in t…
  ☆63Updated 5 years ago
• johannespetrat / OptML
  Implementation of several black-box optimisation methods to tune hyperparameters of machine learning models.
  ☆78Updated 7 years ago
• mxbi / kaggledays-paris
  Winning Solution to the Kaggle Days Paris offline competition
  ☆63Updated 6 years ago
• albahnsen / CostSensitiveClassification
  CostSensitiveClassification Library in Python
  ☆206Updated 5 years ago
• rodrigobressan / entity_embeddings_categorical
  Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
  ☆70Updated 2 years ago
• abhishekkrthakur / greedyFeatureSelection
  greedy feature selection based on ROC AUC
  ☆126Updated 11 years ago
• DenisVorotyntsev / AutoSeries
  Public solution for AutoSeries competition
  ☆72Updated 5 years ago
• nicolov / gradient_boosting_tensorflow_xgboost
  Benchmarking Gradient Boosting in TensorFlow and XGBoost
  ☆137Updated 7 years ago
• erlendd / covariate-shift-adaption
  An example of using a discriminator to correct for a difference in the distributions between the training and test data.
  ☆67Updated 8 years ago
• sequenceanalysis / sequenceanalysis.github.io
  ☆46Updated 4 years ago
• NervanaSystems / aidc-2018-timeseries
  Deep learning for time-series data
  ☆49Updated 2 years ago