The Best 7 Materials Science Tools in 2025

MOMENT is a series of general-purpose time series analysis foundation models that support multiple time series analysis tasks, offering out-of-the-box effectiveness and performance enhancement through fine-tuning.

MOMENT is a series of foundation models for general time series analysis, supporting various time series tasks with out-of-the-box effectiveness and performance improvements through fine-tuning.

TabPFN is a Transformer-based foundational model for tabular data. Through prior-data-based learning methods, it achieves strong performance on small-scale tabular regression tasks without requiring task-specific training.

TimeMoE is a billion-scale time series foundation model based on the Mixture of Experts (MoE) architecture, focusing on time series forecasting tasks.

MOMENT is a series of general-purpose foundational models for time series analysis, supporting various tasks such as forecasting, classification, anomaly detection, etc., with out-of-the-box and fine-tuning capabilities.

TabPFNMix is a tabular foundation model pretrained on purely synthetic datasets, utilizing an encoder-decoder Transformer architecture, suitable for tabular data regression tasks.

This is a quantile forest-based regression model for predicting California housing prices and providing uncertainty estimates.