miriamspsantos/open-source-imbalance-overlap
A collection of Open Source Contributions in Learning from Imbalanced and Overlapped Data
This project helps data scientists and machine learning practitioners build more accurate predictive models, especially when dealing with tricky datasets. It provides a curated list of open-source tools and code for handling data where one outcome is much rarer than others (class imbalance) or where different groups of data points are difficult to tell apart (class overlap). You'll find resources to preprocess your data, generate synthetic examples, and apply specialized algorithms to improve model performance.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning practitioner struggling with poor model performance due to imbalanced or overlapping data in classification tasks.
Not ideal if you are looking for a single, ready-to-use software application rather than a collection of code and research resources.
Stars
20
Forks
3
Language
—
License
—
Category
Last pushed
Dec 30, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/miriamspsantos/open-source-imbalance-overlap"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
ZhiningLiu1998/imbalanced-ensemble
🛠️ Class-imbalanced Ensemble Learning Toolbox. | 类别不平衡/长尾机器学习库 [NeurIPS'25]
solegalli/machine-learning-imbalanced-data
Code repository for the online course Machine Learning with Imbalanced Data
ZhiningLiu1998/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries...
getspams/spams-python
Python interface for SPAMS (SPArse Modeling Software)