#计算机科学#[ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"
A comprehensive toolkit and benchmark for tabular data learning, featuring 30 deep methods, more than 10 classical methods, and 300 diverse tabular datasets.
Reactive datatables for large or small datasets
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...
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)
R interface to fast.ai
TAT-QA (Tabular And Textual dataset for Question Answering) contains 16,552 questions associated with 2,757 hybrid contexts from real-world financial reports.
#计算机科学#ML models + benchmark for tabular data classification and regression
#计算机科学#Data annotator for machine learning allows you to centrally create, manage and administer annotation projects for machine learning
A framework for dynamically creating a tabular model based on an Excel template.
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
Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight).
A high-performance and low-allocating framework to work with tabular data
Easily get custom go template based outputs to your command-line tool. Like in docker/kubernetes
翻译 - 轻松将基于定制go模板的自定义输出输出到命令行工具。就像在docker / kubernetes中一样
#编辑器#Repository of web and code editor friendly Observable Data Toools 🛠️ and Notebooks 📚 in .js, .nb.json, .ojs, .omd, .html and .qmd document formats for Data Previews in a browser and in VSCode IDE wi...