Research on Tabular Deep Learning (Python package & papers)
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Updated
Nov 22, 2022 - Python
Research on Tabular Deep Learning (Python package & papers)
R interface to fast.ai
Useful code for tabular modeling and automation.
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes and of the Excel Data Model (Power Pivot)
Easily get custom go template based outputs to your command-line tool. Like in docker/kubernetes
A framework for dynamically creating a tabular model based on an Excel template.
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning
Machine Learning & Deep Learning AI PAPER
A tool for managing the processing of Analysis Services, Azure Analysis Services and Power BI Premium models.
A tool for customizing and dynamically generating a tabular model from an existing tabular model.
A tool for dynamically generating aggregation tables for Analysis Services Tabular and Power BI XMLA R/W models.
Repository of web and code editor friendly Observable Data Toools
Multi-modal data augmentation for machine learning
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