
WhatToLabel
Improve your machine learning models by curating your data
WhatToLabel launched on October 7, 2020 with 70 votes, #746 of 4,018 launches that month and more than 75% of that year's launches.
What it does
Curate your training data using a simple visual interface. Don't waste your time in labeling images which don't add value to training your model. Use the software to find the most relevant samples to label.
Does a similar job
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Label Studio 1.8.0 Release2023 · labelstud.io · ▲185Open source data labelling platform for AI model tuning
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Autolabel, a Python library to label and enrich text data with LLMs2023 · github.com · ▲153Hi HN! I'm excited to share Autolabel, an open-source Python library to label and enrich text datasets with any Large Language Model (LLM) of your choice. We built Autolabel because access to clean, labeled data is a huge bottleneck for most ML/data science teams. The most capable LLMs are able to label data with high accuracy, and at a fraction of the cost and time compared to manual labeling. With Autolabel, you can leverage LLMs to label any text dataset with <5 lines of code. We’re eager for your feedback!
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