scikit-learn-contrib/imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
- Stars
- 7.1k
- Forks
- 1.4k
- Open issues
- 40
- Last push
- 3mo ago
About imbalanced-learn
imbalanced-learn is a free, open-source machine learning tool by scikit-learn-contrib, written mainly in Python. A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning. It has 7.1k GitHub stars and 1.4k forks, and was last updated 3mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- Python
- Stars
- 7,130
- Last update
- 3mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
Similar free tools
superset75k stars · Apache Superset is a Data Visualization and Data Exploration Platform
great_expectations12k stars · Always know what to expect from your data.
ludwig12k stars · Low-code framework for building custom LLMs, neural networks, and other AI models
evidence7.0k stars · Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
SDV3.6k stars · Synthetic data generation for tabular data
Kiln5.2k stars · Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
imbalanced-learn FAQ
Is imbalanced-learn free?
Yes. imbalanced-learn is open source and free to use. It's released under the MIT license, a standard open-source license.
Does imbalanced-learn run on a Mac?
Its README doesn't say. Check the installation guide on GitHub before you start.
Does imbalanced-learn need a GPU?
Its README doesn't state hardware needs. AI models generally run much faster with a GPU.
Is imbalanced-learn still maintained?
It was last updated 3mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to imbalanced-learn?
Similar free, open-source tools include superset, great_expectations, ludwig, evidence.