TabFMGoogle
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Related Products
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About
ChemSep is a column simulator designed for distillation, absorption, and extraction operations, combining classic equilibrium stage and nonequilibrium (rate-based) models within an intuitive interface. The software includes a comprehensive library of capacity and mass transfer performance parameters for trays and packings, facilitating accurate modeling of actual column performance. ChemSep's design mode allows for automatic simulation and column diameter determination based on specified fractions of the flood, integrating vendor design methods and pressure drop models for trayed and packed columns. The program supports various column configurations and specifications, enabling users to solve separation problems efficiently. ChemSep operates as a standalone application or can be embedded within any CAPE-OPEN compliant flowsheeting package, utilizing their thermodynamic and physical property data.
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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.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Students seeking a tool to learn and practice modeling separation processes such as distillation, absorption, and extraction
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Audience
Data scientists and analytics teams that need accurate tabular classification and regression without repetitive training, tuning, and feature-engineering work
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationChemSep
Netherlands
www.chemsep.org
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Company InformationGoogle
Founded: 1998
United States
research.google/blog/introducing-tabfm-a-zero-shot-foundation-model-for-tabular-data/
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Integrations
No info available.
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Integrations
No info available.
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