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Research on Tabular Deep Learning: Papers & Packages
Created
2021-06-10
230 commits to main branch, last one 6 months ago
Reactive datatables for large or small datasets
Created
2014-10-28
175 commits to master branch, last one 15 days ago
[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
Created
2022-10-02
8 commits to main branch, last one about a year ago
csvreader library / gem - read tabular data in the comma-separated values (csv) format the right way (uses best practices out-of-the-box with zero-configuration)
Created
2018-08-15
126 commits to master branch, last one 2 years ago
Useful code for tabular modeling and automation.
Created
2020-09-01
291 commits to master branch, last one about a month ago
R interface to fast.ai
Created
2020-08-03
941 commits to master branch, last one 2 months ago
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
Created
2021-05-17
99 commits to master branch, last one about a month ago
Connect to Tabular Models via Python
Created
2022-06-25
488 commits to master branch, last one 6 months ago
Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning
Created
2021-01-21
177 commits to master branch, last one 2 months ago
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)
Created
2017-09-19
29 commits to master branch, last one about a year ago
A framework for dynamically creating a tabular model based on an Excel template.
Created
2020-06-11
85 commits to master branch, last one 3 years ago
Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).
Created
2023-02-23
15 commits to main branch, last one about a year ago
A comprehensive toolkit and benchmark for tabular data learning, featuring over 20 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Created
2024-05-06
90 commits to main branch, last one a day ago