Alternatives and similar repositories for Imbalanced-Data-with-SMOTE-Techniques

Users that are interested in Imbalanced-Data-with-SMOTE-Techniques are comparing it to the libraries listed below

• bibtissam / LSTM-Attention-FraudDetection
  Enhanced Credit Card Fraud Detection based on Attention mechanism and LSTM deep Model
  ☆44Updated 3 years ago
• cran2367 / deep-learning-and-rare-event-prediction
  Deep Learning and Rare Event Prediction
  ☆46Updated 4 years ago
• BLarzalere / LSTM-Autoencoder-for-Anomaly-Detection
  AI deep learning neural network for anomaly detection using Python, Keras and TensorFlow
  ☆220Updated 5 years ago
• bhattbhavesh91 / imbalance_class_sklearn
  Address imbalance classes in machine learning projects.
  ☆35Updated 4 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆182Updated 10 months ago
• ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  ☆126Updated 7 years ago
• limingwu8 / Predictive-Maintenance
  time-series prediction for predictive maintenance
  ☆51Updated 6 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
• archd3sai / Predictive-Maintenance-of-Aircraft-Engine
  In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…
  ☆149Updated 3 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆59Updated 7 years ago
• bits-bytes-nn / mofc-demand-forecast
  Time Series Forecasting for the M5 Competition
  ☆41Updated 3 years ago
• 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 a…
  ☆53Updated 3 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆331Updated 11 months ago
• Pushkar-v / Generating-Synthetic-Data-using-GANs
  Generating Tabular Synthetic Data using State of the Art GAN architecture
  ☆80Updated 5 years ago
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆29Updated 7 years ago
• benman1 / time-series
  Time-Series models for multivariate and multistep forecasting, regression, and classification
  ☆62Updated 3 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆31Updated 5 years ago
• deKeijzer / Multivariate-time-series-models-in-Keras
  This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) tim…
  ☆139Updated 6 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆26Updated 7 months ago
• shwetajoshi601 / yeast-multilabel-classifier
  Multi-label classification approaches on the Yeast dataset
  ☆12Updated 5 years ago
• srivatsan88 / End-to-End-Time-Series
  This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…
  ☆265Updated 2 years ago
• anujdutt9 / Feature-Selection-for-Machine-Learning
  Methods with examples for Feature Selection during Pre-processing in Machine Learning.
  ☆362Updated 5 years ago
• Vicam / Unsupervised_Anomaly_Detection
  A Notebook where I implement differents anomaly detection algorithms on a simple exemple. The goal was just to understand how the differ…
  ☆123Updated 8 years ago
• ashishpatel26 / Market-Basket-Analysis
  Association rule mining is a technique to identify underlying relations between different items.
  ☆68Updated 6 years ago
• Ritam-Guha / Py_FS
  A Python Package for Feature Selection
  ☆66Updated 2 years ago
• ahcantao / PSOFeatureSelection
  A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
  ☆53Updated 7 years ago
• disojn / Time-Series-EDA-and-Forecast
  In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…
  ☆29Updated 5 years ago
• advaitsave / Introduction-to-Time-Series-forecasting-Python
  Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast eva…
  ☆326Updated 6 years ago
• fernandodecastilla / Machine-Learning-for-Predictive-Maintenance
  Anomaly detection and failure prognosis applied to industrial machines
  ☆29Updated 6 years ago
• justinengelmann / GANbasedOversampling
  ☆65Updated 2 years ago