Alternatives and similar repositories for Multi-class-with-imbalanced-dataset-classification

Users that are interested in Multi-class-with-imbalanced-dataset-classification are comparing it to the libraries listed below

• nkartik94 / Multi-Label-Text-Classification
  Kaggle Toxic Comments Challenge
  ☆109Updated 7 years ago
• neptune-ai / blog-binary-classification-metrics
  Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
  ☆56Updated 5 years ago
• avisheknag17 / public_ml_models
  ☆62Updated 4 years ago
• krishnadulal / Feature-Selection-in-Machine-Learning-using-Python-All-Code
  Feature Selection in Machine Learning using Python All Code
  ☆35Updated 6 years ago
• robertdefilippi / ensemble-bagging-boosting
  ☆28Updated 7 years ago
• daniel-codes / hospital-los-predictor
  Prediction of hospital length-of-stay (LOS) at time of admission using gradient boosting
  ☆40Updated 6 years ago
• PacktPublishing / Hands-On-One-shot-Learning-with-Python
  Hands-On One-shot Learning with Python, published by Packt
  ☆53Updated 2 years ago
• FelixChop / MediumArticles
  Sample of Python codes from mathematical problems
  ☆110Updated 6 years ago
• Jcharis / Interpreting-Machine-Learning-Models
  Interpreting Machine learning Models(ML Models,DL models) with Lime,Eli5,Shap,etc
  ☆26Updated 3 years ago
• Tony607 / Focal_Loss_Keras
  Multi-class classification with focal loss for imbalanced datasets
  ☆82Updated 5 years ago
• davidsbatista / machine-learning-notebooks
  Assorted exercises and proof-of-concepts to understand and study machine learning and statistical learning theory
  ☆45Updated 6 years ago
• dzlab / deepprojects
  A non-ending collection of jupyter notebooks
  ☆40Updated 2 years ago
• sowmyacr / kmeans_cluster
  Customer segmentation using k-means clustering in python
  ☆59Updated 7 years ago
• solegalli / machine-learning-imbalanced-data
  Code repository for the online course Machine Learning with Imbalanced Data
  ☆182Updated 10 months ago
• susanli2016 / PyCon-Canada-2019-NLP-Tutorial
  ☆56Updated 5 years ago
• mmortazavi / EntityEmbedding-Working_Example
  This repository contains a notebook demonstrating a practical implementation of the so-called Entity Embedding for Encoding Categorical F…
  ☆74Updated 6 years ago
• dipanjanS / transformers_nlp_essentials
  Contains slides and hands-on tutorials for understanding and implementing Transformers in Natural Language Processing. Uses the HuggingFa…
  ☆27Updated 5 years ago
• mdh266 / TextClassificationApp
  Building and Deploying A Serverless Text Classification Web App
  ☆19Updated last month
• dipanjanS / explainable_artificial_intelligence
  Slides, code and resources for model interpretation methods in machine learning and deep learning
  ☆32Updated 6 years ago
• Diyago / ML-DL-scripts
  The repository provides usefull python scripts for ML and data analysis
  ☆178Updated 11 months ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 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
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆72Updated 5 years ago
• solegalli / feature-selection-for-machine-learning
  Code repository for the online course Feature Selection for Machine Learning
  ☆331Updated 11 months ago
• Swastik-25 / Imbalanced-Data-with-SMOTE-Techniques
  This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalan…
  ☆47Updated 4 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 5 years ago
• atif-hassan / PyImpetus
  PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…
  ☆135Updated 7 months ago
• diardanoraihan / Text_Classification_Capstone
  Evaluate the performance of several state-of-the-art deep learning techniques on various text classification datasets. This project is pa…
  ☆27Updated 4 years ago
• abhishekkrthakur / bert-sentiment
  ☆270Updated 3 years ago