Python multi-label-classification Projects
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ImageNet21K
Official Pytorch Implementation of: "ImageNet-21K Pretraining for the Masses"(NeurIPS, 2021) paper
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scikit-multilearn-ng
A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
Project mention: I made a follow-up package, scikit-multilearn-ng, to the widely used scikit-multilearn package for multilabel classification | dev.to | 2024-01-29So after some developing, I'm here to introduce scikit-multilearn-ng (GitHub: https://github.com/scikit-multilearn-ng/scikit-multilearn-ng), an advanced, open-source tool for multi-label classification in Python. It's a direct successor to scikit-multilearn and brings a host of improvements and new features.
NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
Index
Project | Stars | |
---|---|---|
1 | ImageNet21K | 695 |
2 | scikit-multilearn-ng | 16 |
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