Tabular regression 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 regression 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 regression model list

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

50 models
ModelCapabilityContextInput $/1MOutput $/1MSpeed
alirezaaminzadeh/purpleforge-coverage-engine
alirezaaminzadeh
10.0
antonypamo/RRFSavantMetaLogit
antonypamo
10.0
AtharvaXX/mindpulse
AtharvaXX
10.0
autogluon/mitra-regressor
autogluon
10.0
autogluon/tabpfn-mix-1.0-regressor
autogluon
10.0
Dijo-404/mhd-nanofluid-ev-thermal-surrogate
Dijo-404
10.0
Elpriser/denmark-price-forecast
Elpriser
10.0
Elpriser/nordic-price-forecast
Elpriser
10.0
Fatihrizkia/autotrain-xauusdh4timestamp-100145147571
Fatihrizkia
10.0
imshriya/mlforge-test-model
imshriya
10.0
inayet/autotrain-price-prediction-1331950900
inayet
10.0
Jatin5650/my-linear-regression
Jatin5650
10.0
jc-builds/stockprediction-ai
jc-builds
10.0
jwan2021/autotrain-us-housing-prices-1771761510
jwan2021
10.0
jwan2021/autotrain-us-housing-prices-1771761511
jwan2021
10.0
jwan2021/autotrain-us-housing-prices-1771761512
jwan2021
10.0
jwan2021/autotrain-us-housing-prices-1771761513
jwan2021
10.0
jwan2021/autotrain-us-housing-prices-1771761514
jwan2021
10.0
keras-io/timeseries-anomaly-detection
keras-io
10.0
Klassy01/aquatrace-ai-drift
Klassy01
10.0
Klassy01/aquatrace-ai-drift-simulation
Klassy01
10.0
MasumBhuiyan/linear-regression
MasumBhuiyan
10.0
mateuszgrzyb/searchless-chess-resnet-large
mateuszgrzyb
10.0
mateuszgrzyb/searchless-chess-vit-medium
mateuszgrzyb
10.0
neck392/p3-wine-quality-keras-ensemble-mixed-top5
neck392
10.0
NeerajCodz/aiBatteryLifeCycle
NeerajCodz
10.0
openlionai/magnitool
openlionai
10.0
panchsan123/calories-burned-predictor
panchsan123
10.0
pcoloc/autotrain-600-dragino-1839063122
pcoloc
10.0
pcoloc/autotrain-dragino-7-7-1860763606
pcoloc
10.0
pcoloc/autotrain-dragino-7-7-max_300m-1861063640
pcoloc
10.0
pcoloc/autotrain-dragino-7-7-max_495m-1860863627
pcoloc
10.0
pcoloc/autotrain-mikrotik-7-7-1860563588
pcoloc
10.0
pcoloc/autotrain-mikrotik-7-7-1860563590
pcoloc
10.0
pcoloc/autotrain-mikrotik-7-7-1860563597
pcoloc
10.0
pcoloc/autotrain-only-rssi-1813762559
pcoloc
10.0
prabinpanta0/celsius-to-fahrenheit
prabinpanta0
10.0
Prior-Labs/TabPFN-v2-reg
Prior-Labs
10.0
quantile-forest/california-housing-example
quantile-forest
10.0
rphammonds/scalesurfer-stats-base
rphammonds
10.0
rphammonds/scalesurfer-stats-v6
rphammonds
10.0
rphammonds/scalesurfer-stats-v7
rphammonds
10.0
rphammonds/scalesurfer-stats-v8
rphammonds
10.0
ryukkt62/Suncast
ryukkt62
10.0
sankalpsthakur/forge-pump-surrogate-multiruntime
sankalpsthakur
10.0
Synthefy/Nori
Synthefy
10.0
Synthefy/Nori-30M
Synthefy
10.0
williamTLmiller/batterymhm
williamTLmiller
10.0
xuzhuo0417/openacm-gnn-16bit
xuzhuo0417
10.0
xuzhuo0417/openacm-gnn-8bit
xuzhuo0417
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 regression 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.