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 80/100 with 5,846 stars. 3 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 ⚡	80	Verified	5,846	Python
2	pyg-team/pytorch-frame Tabular Deep Learning Library for PyTorch	71	Verified	773	Python
3	NVIDIA-Merlin/NVTabular NVTabular is a feature engineering and preprocessing library for tabular...	67	Established	1,141	Python
4	PriorLabs/tabpfn-extensions Community extensions for TabPFN - the foundation model for tabular data....	67	Established	267	Python
5	pytorch-tabular/pytorch_tabular A unified framework for Deep Learning Models on tabular data	66	Established	1,640	Python
6	soda-inria/tabicl TabICLv2: A state-of-the-art tabular foundation model	63	Established	603	Python
7	PriorLabs/tabpfn-client ⚡ Easy API access to the tabular foundation model TabPFN ⚡	60	Established	230	Python
8	jrzaurin/pytorch-widedeep A flexible package for multimodal-deep-learning to combine tabular data with...	59	Established	1,404	Python
9	dholzmueller/pytabkit ML models + benchmark for tabular data classification and regression	57	Established	351	Python
10	naity/image_tabular Integrate image and tabular data for deep learning	55	Established	91	Jupyter Notebook
11	RyanWangZf/transtab NeurIPS'22 \| TransTab: Learning Transferable Tabular Transformers Across Tables	53	Established	213	Python
12	yandex-research/rtdl-num-embeddings (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning	53	Established	408	Python
13	lorentzenchr/model-diagnostics Tools for diagnostics and assessment of (machine learning) models	53	Established	41	Python
14	openlayer-ai/openlayer-python The official Python library for Openlayer, the Continuous Model Improvement...	50	Established	16	Python
15	alanarazi7/TabSTAR TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields	50	Established	79	Python
16	yandex-research/tabular-dl-tabr The implementation of "TabR: Unlocking the Power of Retrieval-Augmented...	48	Emerging	321	Python
17	DataCanvasIO/DeepTables DeepTables: Deep-learning Toolkit for Tabular data	48	Emerging	703	Python
18	tusharsarkar3/XBNet Boosted neural network for tabular data	48	Emerging	217	Python
19	somepago/saint The official PyTorch implementation of recent paper - SAINT: Improved Neural...	47	Emerging	465	Python
20	yandex-research/rtdl-revisiting-models (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data	47	Emerging	324	Python
21	SAP-samples/sap-rpt-1-oss Implementation of the sap-rpt-1-oss deep learning model with inference...	46	Emerging	150	Python
22	gaohuang/SnapshotEnsemble Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)	46	Emerging	189	Lua
23	YMa-lab/TableMage Python package for low-code/conversational clinical data science	46	Emerging	10	Python
24	yandex-research/rtdl Research on Tabular Deep Learning: Papers & Packages	45	Emerging	1,112	Python
25	Bin-Cao/TCLRmodel [JMI 2022] TCLR is a tree model for distinguish the mechanisms of data \|...	43	Emerging	19	Python
26	machinelearningnuremberg/WellTunedSimpleNets [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets	42	Emerging	88	Python
27	virelay/corelay CoRelAy is a tool to compose small-scale (single-machine) analysis pipelines.	41	Emerging	31	Python
28	gcskoenig/awesome-tabular-foundation-models A curated collection of research on tabular foundation models: models...	40	Emerging	5	—
29	SAP-samples/portal Implementation of the deep learning models with training and evaluation...	39	Emerging	15	Python
30	chemotargets/assay_inspector A Python package for diagnostic assessment of data consistency in molecular datasets	39	Emerging	8	Python
31	yandex-research/tabred (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in...	35	Emerging	90	Python
32	AI-sandbox/iLTM iLTM: Integrated Large Tabular Model	35	Emerging	15	Python
33	somaonishi/MTR The official implementation of the paper "Rethinking Data Augmentation for...	35	Emerging	14	Python
34	ym001/distancia The DistanceMetrics package is a comprehensive Python library designed to...	34	Emerging	15	Jupyter Notebook
35	radi-cho/GatedTabTransformer A deep learning tabular classification architecture inspired by...	34	Emerging	101	Jupyter Notebook
36	WhatAShot/ExcelFormer The pioneering neural network surpassing extremely-tuned XGboost and...	33	Emerging	68	Python
37	zadid6pretam/TabSeq TabSeq: A Framework for Deep Learning on Tabular Data via Sequential Ordering	32	Emerging	10	Python
38	puhsu/tabular-dl-pretrain-objectives Revisiting Pretrarining Objectives for Tabular Deep Learning	31	Emerging	67	Python
39	ernestojimenezruiz/tabular-data-semantics-py Tabular data semantics	30	Emerging	6	Python
40	Digiratory/fuzzy-rank-ensemble-torch The torch based implementation of a Fuzzy Rank-based Ensemble compatible...	30	Emerging	1	Python
41	SalvatoreRa/tabular-deep-learning-survey Companion repository for the Tabular Deep learning Survey	30	Emerging	8	Jupyter Notebook
42	Ipsedo/TabPFN TabPFN implementation with PyTorch	30	Emerging	5	Python
43	sakura2233565548/TabPedia This repository is the codebase of TabPedia: Towards Comprehensive Visual...	29	Experimental	50	Python
44	utahnlp/tabpert TabPert : An Effective Platform for Tabular Perturbation	29	Experimental	1	HTML
45	jyansir/tmlp [KDD 2024] Team up GBDTs and DNNs: Advancing Efficient and Effective Tabular...	28	Experimental	11	Python
46	dbolya/parc A benchmark suite for Scalable Diverse Model Selection for Accessible...	28	Experimental	15	Python
47	ndtands/TabularDataProblem Classification in TabularDataset	28	Experimental	10	Jupyter Notebook
48	TabArena/tabarena_benchmarking_examples See https://github.com/autogluon/tabarena for the newest exampels!	28	Experimental	15	—
49	LukasZahradnik/deep-db-learning A modular message-passing scheme reflecting the relational model for...	27	Experimental	11	Python
50	ersilia-os/chempfn Ensemble-based, size-agnostic wrapper for the TabPFN classifier	26	Experimental	34	Jupyter Notebook
51	Icold21/TreeMemoryPredictor TreeMemoryPredictor (TMP): Real-time sequence prediction engine built on...	22	Experimental	—	Jupyter Notebook
52	AdrianBZG/TabMDA [ICML 2024] TabMDA: Tabular Manifold Data Augmentation for Any Classifier...	21	Experimental	9	Python
53	yandex-research/tabpfn-finetuning On Finetuning Tabular Foundation Models Paper Code	19	Experimental	35	Python
54	maciekmalachowski/TabNet-vs-XGBoost 📊 A comprehensive comparison of TabNet and XGBoost across binary...	19	Experimental	3	Jupyter Notebook
55	catherinesyeh/bkt-asl Explaining Bayesian Knowledge Tracing using American Sign Language	18	Experimental	2	HTML
56	thomas-sabu-cs/ml-tabular A clean, production-ready boilerplate for tabular machine learning projects...	14	Experimental	—	Python
57	Nestor-DS/dl4td_wp Application of different deep tabular learning methods to water problem...	13	Experimental	—	Jupyter Notebook
58	catherinesyeh/bkt-kcs Visualizing the Knowledge Components and Areas of Bayesian Knowledge Tracing	10	Experimental	2	HTML

Comparisons in this category

TabPFN and tabicl (80 vs 63) TabPFN and pytabkit (80 vs 57) TabPFN and tabpfn-extensions (80 vs 67) TabPFN and tabpfn-client (80 vs 60) TabPFN and transtab (80 vs 53) TabPFN and TabSTAR (80 vs 50) pytorch-frame and pytorch_tabular (71 vs 66) pytorch-frame and DeepTables (71 vs 48) pytabkit and DeepTables (57 vs 48) tabpfn-extensions and tabpfn-client (67 vs 60)