MLBox

MLBox

Axel ARONIO DE ROMBLAY
TabPFN-3.5

TabPFN-3.5

Prior Labs
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About

MLBox is a powerful Automated Machine Learning python library. It provides the following features fast reading and distributed data preprocessing/cleaning/formatting, highly robust feature selection and leak detection, accurate hyper-parameter optimization in high-dimensional space, state-of-the art predictive models for classification and regression (Deep Learning, Stacking, LightGBM), and prediction with models interpretation. MLBox main package contains 3 sub-packages: preprocessing, optimization and prediction. Each one of them are respectively aimed at reading and preprocessing data, testing or optimizing a wide range of learners and predicting the target on a test dataset.

About

TabPFN-3.5 is a tabular foundation model built for state-of-the-art predictions on structured data. It supports a wide range of prediction tasks, including churn, fraud, pricing, demand forecasting, risk, and other real-world data science problems, allowing teams to serve multiple use cases with one model. The model works with data as it is, handling missing values, outliers, categorical features, multi-table datasets, free text as a feature, thousands of distinct IDs without encoding, and hundreds of measurements per row. Users can feed in raw data, skip feature engineering and preprocessing, and get production-grade predictions from the first predict call. TabPFN-3.5 performs predictions in a single forward pass and is designed for both accuracy and speed, with fast inference for latency-critical predictive workflows. It supports production-scale datasets of up to one million rows natively and delivers 20x faster inference than previous model versions.

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

Individuals looking for an automated Machine Learning Python library

Audience

Data scientists, machine learning teams, and organizations needing to build fast, production-ready predictions from structured data

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

No information available.
Free Version
Free Trial

Pricing

No information available.
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

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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

Axel ARONIO DE ROMBLAY
Founded: 2017
mlbox.readthedocs.io/en/latest/

Company Information

Prior Labs
Founded: 2024
Germany
priorlabs.ai/tabpfn-3-5

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Categories

Categories

Integrations

Python
Amazon Web Services (AWS)
Databricks
GitHub
Google Cloud Platform
Microsoft Azure
Model Context Protocol (MCP)
NVIDIA DRIVE
SAP Cloud Platform
Snowflake

Integrations

Python
Amazon Web Services (AWS)
Databricks
GitHub
Google Cloud Platform
Microsoft Azure
Model Context Protocol (MCP)
NVIDIA DRIVE
SAP Cloud Platform
Snowflake
Claim MLBox and update features and information
Claim MLBox and update features and information
Claim TabPFN-3.5 and update features and information
Claim TabPFN-3.5 and update features and information