BingzhaoZhu / XTab
☆35Updated 2 years ago
Alternatives and similar repositories for XTab:
Users that are interested in XTab are comparing it to the libraries listed below
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆55Updated 9 months ago
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆184Updated 2 months ago
- ☆64Updated last year
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆61Updated 10 months ago
- ☆148Updated last year
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆186Updated last month
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆77Updated last year
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Updated 2 years ago
- Code and results accompanying our paper titled Mixture Proportion Estimation and PU Learning: A Modern Approach at Neurips 2021 (Spotligh…☆44Updated last year
- An automatic deep tabular learning package☆13Updated last year
- TabDPT: Scaling Tabular Foundation Models☆26Updated this week
- The code for the paper "MediTab: Scaling Medical Tabular Data Predictors via Data Consolidation, Enrichment, and Refinement"☆20Updated 11 months ago
- Research on Tabular Foundation Models☆45Updated 4 months ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆55Updated 2 years ago
- ☆30Updated 11 months ago
- ☆49Updated 3 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆144Updated 2 years ago
- ☆14Updated last month
- EMNLP'22 | PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning☆28Updated last year
- A benchmark for distribution shift in tabular data☆52Updated 10 months ago
- Official Code for the paper: "Composite Feature Selection using Deep Ensembles"☆22Updated 2 years ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆32Updated last month
- An automated feature engineering framework 'FETCH' accepted in ICLR 2023.☆11Updated last year
- Codebase for SEFS: Self-Supervision Enhanced Feature Selection with Correlated Gates☆23Updated last year
- Sample, estimate, aggregate: A recipe for causal discovery foundation models☆10Updated 9 months ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆67Updated last week
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆148Updated 4 years ago
- Testing Language Models for Memorization of Tabular Datasets.☆33Updated 2 months ago
- The TABLET benchmark for evaluating instruction learning with LLMs for tabular prediction.☆20Updated last year
- A repo for transfer learning with deep tabular models☆102Updated 2 years ago