Tabular Deep Learning ML Frameworks

Research frameworks, models, and libraries for applying deep learning to tabular/structured data. Includes architectures, embeddings, preprocessing, and benchmarks specifically designed for tables. Does NOT include general ML frameworks, AutoML systems, or non-deep-learning tabular methods like XGBoost.

There are 58 tabular deep learning frameworks tracked. 2 score above 70 (verified tier). The highest-rated is PriorLabs/TabPFN at 83/100 with 5,846 stars. 4 of the top 10 are actively maintained.

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#	Framework	Score	Tier	Stars	Language
1	PriorLabs/TabPFN ⚡ TabPFN: Foundation Model for Tabular Data ⚡	83	Verified	5,846	Python
2	pyg-team/pytorch-frame Tabular Deep Learning Library for PyTorch	72	Verified	773	Python
3	PriorLabs/tabpfn-extensions Community extensions for TabPFN - the foundation model for tabular data....	69	Established	267	Python
4	PriorLabs/tabpfn-client ⚡ Easy API access to the tabular foundation model TabPFN ⚡	66	Established	230	Python
5	NVIDIA-Merlin/NVTabular NVTabular is a feature engineering and preprocessing library for tabular...	66	Established	1,141	Python
6	dholzmueller/pytabkit ML models + benchmark for tabular data classification and regression	64	Established	351	Python
7	soda-inria/tabicl TabICLv2: A state-of-the-art tabular foundation model	62	Established	603	Python
8	pytorch-tabular/pytorch_tabular A unified framework for Deep Learning Models on tabular data	62	Established	1,640	Python
9	jrzaurin/pytorch-widedeep A flexible package for multimodal-deep-learning to combine tabular data with...	60	Established	1,404	Python
10	yandex-research/rtdl-num-embeddings (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning	56	Established	408	Python
11	lorentzenchr/model-diagnostics Tools for diagnostics and assessment of (machine learning) models	52	Established	41	Python
12	RyanWangZf/transtab NeurIPS'22 \| TransTab: Learning Transferable Tabular Transformers Across Tables	51	Established	213	Python
13	naity/image_tabular Integrate image and tabular data for deep learning	48	Emerging	91	Jupyter Notebook
14	openlayer-ai/openlayer-python The official Python library for Openlayer, the Continuous Model Improvement...	46	Emerging	16	Python
15	alanarazi7/TabSTAR TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields	44	Emerging	79	Python
16	tusharsarkar3/XBNet Boosted neural network for tabular data	41	Emerging	217	Python
17	DataCanvasIO/DeepTables DeepTables: Deep-learning Toolkit for Tabular data	41	Emerging	703	Python
18	yandex-research/tabular-dl-tabr The implementation of "TabR: Unlocking the Power of Retrieval-Augmented...	41	Emerging	321	Python
19	somepago/saint The official PyTorch implementation of recent paper - SAINT: Improved Neural...	40	Emerging	465	Python
20	yandex-research/rtdl-revisiting-models (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data	40	Emerging	324	Python
21	SAP-samples/sap-rpt-1-oss Implementation of the sap-rpt-1-oss deep learning model with inference...	40	Emerging	150	Python
22	YMa-lab/TableMage Python package for low-code/conversational clinical data science	39	Emerging	10	Python
23	gaohuang/SnapshotEnsemble Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)	39	Emerging	189	Lua
24	yandex-research/rtdl Research on Tabular Deep Learning: Papers & Packages	38	Emerging	1,112	Python
25	gcskoenig/awesome-tabular-foundation-models A curated collection of research on tabular foundation models: models...	38	Emerging	5	—
26	virelay/corelay CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.	38	Emerging	31	Python
27	AI-sandbox/iLTM iLTM: Integrated Large Tabular Model	36	Emerging	15	Python
28	Bin-Cao/TCLRmodel [JMI 2022] TCLR is a tree model for distinguish the mechanisms of data \|...	36	Emerging	19	Python
29	chemotargets/assay_inspector A Python package for diagnostic assessment of data consistency in molecular datasets	35	Emerging	8	Python
30	machinelearningnuremberg/WellTunedSimpleNets [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets	35	Emerging	88	Python
31	SAP-samples/portal Implementation of the deep learning models with training and evaluation...	32	Emerging	15	Python
32	zadid6pretam/TabSeq TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering	29	Experimental	10	Python
33	somaonishi/MTR The official implementation of the paper "Rethinking Data Augmentation for...	28	Experimental	14	Python
34	yandex-research/tabred (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in...	28	Experimental	90	Python
35	ym001/distancia The DistanceMetrics package is a comprehensive Python library designed to...	27	Experimental	15	Jupyter Notebook
36	radi-cho/GatedTabTransformer A deep learning tabular classification architecture inspired by...	27	Experimental	101	Jupyter Notebook
37	WhatAShot/ExcelFormer The pioneering neural network surpassing extremely-tuned XGboost and...	26	Experimental	68	Python
38	puhsu/tabular-dl-pretrain-objectives Revisiting Pretrarining Objectives for Tabular Deep Learning	24	Experimental	67	Python
39	SalvatoreRa/tabular-deep-learning-survey Companion repository for the Tabular Deep learning Survey	23	Experimental	8	Jupyter Notebook
40	Digiratory/fuzzy-rank-ensemble-torch The torch based implementation of a Fuzzy Rank-based Ensemble compatible...	23	Experimental	1	Python
41	Ipsedo/TabPFN TabPFN implementation with PyTorch	23	Experimental	5	Python
42	ernestojimenezruiz/tabular-data-semantics-py Tabular data semantics	23	Experimental	6	Python
43	TabArena/tabarena_benchmarking_examples See https://github.com/autogluon/tabarena for the newest exampels!	22	Experimental	15	—
44	sakura2233565548/TabPedia This repository is the codebase of TabPedia: Towards Comprehensive Visual...	22	Experimental	50	Python
45	Icold21/TreeMemoryPredictor TreeMemoryPredictor (TMP): Real-time sequence prediction engine built on...	22	Experimental	—	Jupyter Notebook
46	utahnlp/tabpert TabPert : An Effective Platform for Tabular Perturbation	22	Experimental	1	HTML
47	jyansir/tmlp [KDD 2024] Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular...	21	Experimental	11	Python
48	dbolya/parc A benchmark suite for Scalable Diverse Model Selection for Accessible...	21	Experimental	15	Python
49	ndtands/TabularDataProblem Classification in TabularDataset	21	Experimental	10	Jupyter Notebook
50	LukasZahradnik/deep-db-learning A modular message-passing scheme reflecting the relational model for...	20	Experimental	11	Python
51	ersilia-os/chempfn Ensemble-based, size-agnostic wrapper for the TabPFN classifier	19	Experimental	34	Jupyter Notebook
52	nepryoon/nil-tabular-risk Tabular risk modelling with reproducible pipelines, evaluation, and...	19	Experimental	—	—
53	thomas-sabu-cs/ml-tabular A clean, production-ready boilerplate for tabular machine learning projects...	14	Experimental	—	Python
54	AdrianBZG/TabMDA [ICML 2024] TabMDA: Tabular Manifold Data Augmentation for Any Classifier...	14	Experimental	9	Python
55	yandex-research/tabpfn-finetuning On Finetuning Tabular Foundation Models Paper Code	13	Experimental	35	Python
56	maciekmalachowski/TabNet-vs-XGBoost 📊 A comprehensive comparison of TabNet and XGBoost across binary...	12	Experimental	3	Jupyter Notebook
57	catherinesyeh/bkt-asl Explaining Bayesian Knowledge Tracing using American Sign Language	11	Experimental	2	HTML
58	Nestor-DS/dl4td_wp Application of different deep tabular learning methods to water problem...	11	Experimental	—	Jupyter Notebook

Comparisons in this category

TabPFN and tabicl (83 vs 62) TabPFN and pytabkit (83 vs 64) TabPFN and tabpfn-extensions (83 vs 69) TabPFN and tabpfn-client (83 vs 66) TabPFN and transtab (83 vs 51) TabPFN and TabSTAR (83 vs 44) pytorch-frame and pytorch_tabular (72 vs 62) pytorch-frame and DeepTables (72 vs 41) pytabkit and DeepTables (64 vs 41) tabpfn-extensions and tabpfn-client (69 vs 66)