TabFM

TabFM

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About

TabFM is a zero-shot foundation model for tabular data, designed to simplify classification and regression workflows that traditionally require manual model training, hyperparameter tuning, and domain-specific feature engineering. Built specifically for tables, TabFM reframes tabular prediction as an in-context learning problem: instead of fitting a new supervised model to each dataset, it takes historical training examples and target testing rows together as one unified prompt, then interprets relationships between columns and rows at inference time. Because tables are two-dimensional and orderless, TabFM uses a hybrid architecture that combines alternating row and column attention, row compression, and a dedicated Transformer for in-context learning over compressed row embeddings. This design lets the model capture complex feature interactions and dependencies while keeping prediction computationally efficient for larger datasets.

About

Webix Grid is a standalone JavaScript DataGrid component (table/grid UI widget) that is optimized for high-performance, large-dataset scenarios, and is designed to be dropped into web applications where tabular data needs to be displayed, edited, filtered, sorted, etc. Key positioning points: Lightweight: you don’t have to bring in the full Webix UI library if you only need the grid. Focused on β€œjust the grid” use-case rather than a full UI framework. Feature-rich, offering a wide set of capabilities for enterprise-style data apps: - Virtual scrolling - Frozen columns - Inline editing - Sorting - Filtering - Grouping - Column resizing - Column reordering - Multi-line headers - Row selection - Cell selection - Copy/paste - Excel export - PDF export - CSV export - Paging - Validation - Undo/redo - Drag and drop - Spanning cells - Context menus - Keyboard navigation - Conditional formatting - Column summaries - Custom rendering - Live updates

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Data scientists and machine learning teams seeking to perform zero-shot classification and regression on tabular data without task-specific training

Audience

Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startups

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$749 per project
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/

Company Information

Webix
Founded: 2013
Belarus
grid.webix.com

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Categories

Categories

Integrations

JavaScript

Integrations

JavaScript
Claim TabFM and update features and information
Claim TabFM and update features and information
Claim Webix Grid and update features and information
Claim Webix Grid and update features and information