AI Model Hub

Browse AI models for multimodal decomposition and recomposition pipelines — plug any model into your extractors.

14,578 models available

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Showing 14545–14568 of 14,578 models

Tabular Regression

ayyuce/my_solar_model

sklearn

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Tabular Regression

halflings/house_price_prediction_ser

mlconsole

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Tabular Regression

halflings/house_price_prediction_dev

mlconsole

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Tabular Regression

halflings/house_price_prediction_ser2

mlconsole

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Tabular Regression

IMFAA/Magnet_Tc_predictor

sklearn

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Tabular Regression

moro23/used-phones-price-prediction

sklearn

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Tabular Regression

scikit-learn/persistence

sklearn

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Tabular Regression

scikit-learn/passive-agressive-regressor

sklearn

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Tabular Regression

dvgodoy/sklearn-mpg

sklearn

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Tabular Regression

Jnior/camfreg

sklearn

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Tabular Regression

merve/xgboost-example

sklearn

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Tabular Regression

scikit-learn/xgboost-example

sklearn

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Tabular Regression

samyak152002/cat_boost_regressor

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Tabular Regression

geninhu/skops_logistics

sklearn

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Document Question Answering

AlinaKozyreva/AlinaKozyreva

transformers

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Document Question Answering

am-infoweb/layout-test_model

transformers

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Document Question Answering

seungwon12/layoutlmv2-base-uncased_finetuned_docvqa

transformers

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Document Question Answering

loroxiv/docvqa-test

transformers

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Document Question Answering

prajwalJumde/my-awesome-model

transformers

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Document Question Answering

zibajoon/20231113_DocVQA_laytlm_1ep_full50k_Doc_NA

transformers

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Tabular Classification

scikit-learn/skops-blog-example

sklearn

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Tabular Classification

scikit-learn/tabular-playground

sklearn

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Tabular Regression

vumichien/skops_logistics

sklearn

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Tabular Regression

halflings/julien-c_kaggle-rounakbanik-pokemon_pokemon.csv

mlconsole

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Jun 22, 2026200+ model pages and new retrieval deep-divesExpanded the model catalog with enriched pages (architecture, benchmarks, Mixpeek SDK examples, and pipeline pairings) across embedding, vision-language, video, audio, OCR, and reranking models — plus new vendor-neutral guides on Matryoshka embeddings, reasoning rerankers, and retrieval feedback loops.