Tabular classification AI Models

Models listed

50

Reviewed and live in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Tabular classification models are a source-backed task collection in this directory. The current editorial inventory contains 25 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Tabular classification model list

Scan the table below, then open any model for pricing, limits and the full write-up.

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
akwancakra/nids-model-cnn-bilstm-ae
akwancakra
10.0
alana89/TabSTAR
alana89
10.0
amirsoahil101/Bank_Telemarketing_Success_Prediction_using_ANN
amirsoahil101
10.0
autogluon/mitra-classifier
autogluon
10.0
autogluon/mitra-classifier-1.1
autogluon
10.0
autogluon/tabpfn-mix-1.0-classifier
autogluon
10.0
AWeirdDev/human-disease-prediction
AWeirdDev
10.0
CardoAIDevs/Nori-Classifier-30M
CardoAIDevs
10.0
CardoAIDevs/Nori-Classifier-6M
CardoAIDevs
10.0
cubis/mbta-track-predictor
cubis
10.0
DepthMuun/gfn-gssm-xor-parity
DepthMuun
10.0
Genereux-akotenou/genomics-tf-prediction
Genereux-akotenou
10.0
google/tabfm-1.0.0-jax
google
10.0
google/tabfm-1.0.0-pytorch
google
10.0
helmo/tabum-v1.1
helmo
10.0
imodels/figs-compas-recidivism
imodels
10.0
julien-c/skops-digits
julien-c
10.0
julien-c/wine-quality
julien-c
10.0
keras-io/collaborative-filtering-movielens
keras-io
10.0
keras-io/imbalanced_classification
keras-io
10.0
keras-io/structured-data-classification-grn-vsn
keras-io
10.0
keras-io/TF_Decision_Trees
keras-io
10.0
lowdown-labs/fela-tab
lowdown-labs
10.0
lvizcaya/forex-eurusd-direction
lvizcaya
10.0
Mattral/tabfm-1.0.0-pytorch
Mattral
10.0
MertOezberk95/tabfm-1.0.0-pytorch
MertOezberk95
10.0
MIRE-org/flywire-olfactory-snn
MIRE-org
10.0
misalisu-ai/lemr-multimodal-clinical-core
misalisu-ai
10.0
osanseviero/wine-quality
osanseviero
10.0
Prior-Labs/tabpfn_2_5
Prior-Labs
10.0
Prior-Labs/tabpfn_2_6
Prior-Labs
10.0
Prior-Labs/tabpfn_3
Prior-Labs
10.0
Prior-Labs/TabPFN-v2-clf
Prior-Labs
10.0
Rohit-2002/Tabfm
Rohit-2002
10.0
Rowling0506/tabpfn_3
Rowling0506
10.0
SAP/sap-rpt-1-oss
SAP
10.0
sharktide/cardiac_arrest_v4
sharktide
10.0
sharktide/ohca-predictor-v1
sharktide
10.0
SnowFlash383935/DigitalEduTransformers
SnowFlash383935
10.0
squ11z1/Two-Moons
squ11z1
10.0
stanford-star/rt-j
stanford-star
10.0
stanford-star/rt-plurel
stanford-star
10.0
SupraLabs/SupraWeather1.5-Small
SupraLabs
10.0
SZLHOLDINGS/szl-governed-norm
SZLHOLDINGS
10.0
tandrewu1/5G-Signal-Modulation-Classifier
tandrewu1
10.0
tiiip/indian-stock-market-analyzer
tiiip
10.0
Vick-MIRE/flywire-olfactory-snn
Vick-MIRE
10.0
vvmnnnkv/wine-quality
vvmnnnkv
10.0
YuchenShen/FoMo-0D
YuchenShen
10.0
yzhuang/MetaTree
yzhuang
10.0

50 models · click a column to sort

About the capability score: a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Tabular classification model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.