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Research on Tabular Deep Learning: Papers & Packages
Created
2021-06-10
236 commits to main branch, last one about a month 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
Reactive datatables for large or small datasets
Created
2014-10-28
177 commits to master branch, last one 5 months ago
A comprehensive toolkit and benchmark for tabular data learning, featuring 30 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Created
2024-05-06
165 commits to main branch, last one 3 days 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
306 commits to master branch, last one 19 days ago
Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and distributional regression tasks. It includes models such as Mambul...
Created
2024-05-03
588 commits to master branch, last one 17 days ago
R interface to fast.ai
Created
2020-08-03
941 commits to master branch, last one 8 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
101 commits to master branch, last one 12 days ago
Connect to PBI/AAS Models via Python
Created
2022-06-25
492 commits to master branch, last one 3 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 8 months 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
OLAP PivotTable Extensions is an Excel add-in which extends the functionality of PivotTables on Analysis Services cubes, the Excel Data Model (Power Pivot), and Power BI
Created
2017-09-19
29 commits to master branch, last one 2 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
ML models + benchmark for tabular data classification and regression
Created
2024-07-04
57 commits to main branch, last one 27 days ago
A high-performance and low-allocating framework to work with tabular data
Created
2023-04-10
102 commits to main branch, last one 11 days ago