A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
☆1,413Apr 30, 2026Updated last week
Alternatives and similar repositories for pytorch-widedeep
Users that are interested in pytorch-widedeep are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A unified framework for Deep Learning Models on tabular data☆1,659Apr 17, 2026Updated 3 weeks ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,076Jan 8, 2026Updated 4 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,941Oct 23, 2024Updated last year
- Research on Tabular Deep Learning: Papers & Packages☆1,131Apr 17, 2026Updated 3 weeks ago
- 【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.☆3,430Apr 18, 2026Updated 3 weeks ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆465Dec 6, 2021Updated 4 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆525Jan 21, 2021Updated 5 years ago
- Easy-to-use,Modular and Extendible package of deep-learning based CTR models .☆8,024Apr 26, 2026Updated last week
- The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc☆760Mar 3, 2018Updated 8 years ago
- Multimodal model for text and tabular data with HuggingFace transformers as building block for text data☆620Oct 30, 2024Updated last year
- Factorization Machine models in PyTorch☆1,084Apr 8, 2024Updated 2 years ago
- Uplift modeling and causal inference with machine learning algorithms☆5,826Apr 25, 2026Updated 2 weeks ago
- A PyTorch implementation of DeepFM for CTR prediction problem.☆408Jun 1, 2021Updated 4 years ago
- SIGKDD'2019: DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks☆658Jul 25, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Deep recommender models using PyTorch.☆3,042Dec 21, 2022Updated 3 years ago
- Keras implementation of Tensorflow's Wide and Deep Algorithm☆161Jun 29, 2019Updated 6 years ago
- DeepTables: Deep-learning Toolkit for Tabular data☆703Apr 20, 2026Updated 2 weeks ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆292Aug 27, 2021Updated 4 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆336Nov 12, 2024Updated last year
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,143Mar 12, 2026Updated last month
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,424Apr 18, 2026Updated 3 weeks ago
- An implementation of a deep learning recommendation model (DLRM)☆4,034Jan 12, 2026Updated 3 months ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Mar 24, 2023Updated 3 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆352Mar 1, 2021Updated 5 years ago
- Feature engineering and selection open-source Python library compatible with sklearn.☆2,234Mar 28, 2026Updated last month
- Time series forecasting with PyTorch☆4,882Updated this week
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆411Apr 16, 2025Updated last year
- Best Practices on Recommendation Systems☆21,675Updated this week
- A game theoretic approach to explain the output of any machine learning model.☆25,376May 1, 2026Updated last week
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆156Oct 26, 2020Updated 5 years ago
- An open source python library for automated feature engineering☆7,633Feb 3, 2026Updated 3 months ago
- Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.☆1,266Mar 12, 2026Updated last month
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Automatic machine learning for tabular data. ⚡🔥⚡☆70Dec 11, 2021Updated 4 years ago
- Fast and Accurate ML in 3 Lines of Code☆10,276Updated this week
- Pytorch domain library for recommendation systems☆2,535Updated this week
- Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benc…☆550Aug 8, 2024Updated last year
- A hyperparameter optimization framework☆14,109May 1, 2026Updated last week
- Natural Gradient Boosting for Probabilistic Prediction☆1,872Mar 24, 2026Updated last month
- A scikit-learn compatible neural network library that wraps PyTorch☆6,160Apr 29, 2026Updated last week