RyanWangZf/transtab
NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables
This tool helps data scientists and machine learning engineers create robust prediction models for structured data. You provide it with a tabular dataset (like a spreadsheet or database table), and it outputs a model that can make predictions or classify new, unseen data entries. It's particularly useful for those who work with various datasets and need to quickly adapt models without starting from scratch.
213 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to build predictive models for tabular data more efficiently by leveraging knowledge gained from other, related datasets.
Not ideal if you are a business user without a data science background or if your primary need is for simple statistical analysis rather than predictive modeling.
Stars
213
Forks
30
Language
Python
License
BSD-2-Clause
Category
Last pushed
Mar 13, 2025
Commits (30d)
0
Dependencies
8
Reverse dependents
1
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