A repo for transfer learning with deep tabular models
☆104Feb 15, 2023Updated 3 years ago
Alternatives and similar repositories for tabular-transfer-learning
Users that are interested in tabular-transfer-learning are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24Jan 27, 2022Updated 4 years ago
- ☆12Oct 10, 2022Updated 3 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆216Mar 13, 2025Updated last year
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆149Jul 1, 2022Updated 4 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆18Sep 19, 2022Updated 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.
- ☆26Jul 30, 2024Updated 2 years ago
- ☆33Nov 27, 2023Updated 2 years ago
- ☆509Aug 18, 2024Updated 2 years ago
- Research on Tabular Deep Learning: Papers & Packages☆1,158Apr 17, 2026Updated 4 months ago
- A benchmark for distribution shift in tabular data☆72Jun 6, 2024Updated 2 years ago
- Official implementation of GOAT model (ICML2023)☆38Jul 3, 2023Updated 3 years ago
- A simple and efficient baseline for data attribution☆11Nov 10, 2023Updated 2 years ago
- ☆54Sep 11, 2021Updated 4 years ago
- Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"☆61Mar 1, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆419Apr 16, 2025Updated last year
- Experiments on Tabular Data Models☆281May 25, 2023Updated 3 years ago
- Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training wi…☆54Nov 29, 2021Updated 4 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆184Mar 22, 2024Updated 2 years ago
- ☆16Jul 17, 2022Updated 4 years ago
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Jun 24, 2022Updated 4 years ago
- An empirical investigation of deep learning theory☆16Oct 3, 2019Updated 6 years ago
- A unified framework for Deep Learning Models on tabular data☆1,678Apr 17, 2026Updated 4 months ago
- A PyTorch Toolbox for Cross-Domain Few-Shot Learning and Meta-Learning☆12Mar 14, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆12Feb 10, 2023Updated 3 years ago
- 🏥Generate task cohort for the YAIB framework.☆15Nov 19, 2025Updated 9 months ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆156Oct 26, 2020Updated 5 years ago
- Repository for Multimodal AutoML Benchmark☆67Dec 7, 2021Updated 4 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆118Aug 19, 2024Updated 2 years ago
- What do we learn from inverting CLIP models?☆58Mar 6, 2024Updated 2 years ago
- ☆12Jul 17, 2023Updated 3 years ago
- A centralized place for deep thinking code and experiments☆92Aug 9, 2023Updated 3 years ago
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆95Mar 17, 2024Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A novel approach for synthesizing tabular data using pretrained large language models☆365Aug 16, 2026Updated 2 weeks ago
- Training and evaluating NBM and SPAM for interpretable machine learning.☆77Mar 22, 2023Updated 3 years ago
- The official PyTorch implementation - Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from t…☆82May 5, 2022Updated 4 years ago
- Predicting Out-of-Distribution Error with the Projection Norm☆19Jul 27, 2022Updated 4 years ago
- PyTorch implementation for OCT-GAN Neural ODE-based Conditional Tabular GANs (WWW 2021)☆15Oct 10, 2022Updated 3 years ago
- Pytorch Datasets for Easy-To-Hard☆30Jan 9, 2025Updated last year
- Parameter-Space Saliency Maps for Explainability☆23Mar 21, 2023Updated 3 years ago