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TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.

Pytabular ⭐ 64

Connect to Tabular Models via Python

Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).

Multiaug ⭐ 12

Multi-modal data augmentation for machine learning

Omnipy is a high level Python library for type-driven data wrangling and scalable workflow orchestration (under development)

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