Reactive datatables for large or small datasets
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Updated
May 18, 2024 - JavaScript
Reactive datatables for large or small datasets
Research on Tabular Deep Learning: Papers & Packages
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Useful code for tabular modeling and automation.
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
A framework for dynamically creating a tabular model based on an Excel template.
R interface to fast.ai
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)
A tool for customizing and dynamically generating a tabular model from an existing tabular model.
A tool for managing the processing of Analysis Services, Azure Analysis Services and Power BI Premium models.
A tool for dynamically generating aggregation tables for Analysis Services Tabular and Power BI XMLA R/W models.
micromark extension to support GFM tables
Code accompanying AWS blog post "Build a Semantic Search Engine for Tabular Columns with Transformers and Amazon OpenSearch Service"
Easily get custom go template based outputs to your command-line tool. Like in docker/kubernetes
Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).
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