tabularis-ai / be_greatLinks
A novel approach for synthesizing tabular data using pretrained large language models
☆311Updated last month
Alternatives and similar repositories for be_great
Users that are interested in be_great are comparing it to the libraries listed below
Sorting:
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆230Updated 3 weeks ago
- Benchmarking synthetic data generation methods.☆274Updated last week
- Metrics to evaluate quality and efficacy of synthetic datasets.☆237Updated this week
- [ICML 2023] The official implementation of the paper "TabDDPM: Modelling Tabular Data with Diffusion Models"☆458Updated 11 months ago
- Experiments on Tabular Data Models☆277Updated 2 years ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆296Updated 7 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆162Updated last year
- A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.☆557Updated this week
- Official GitHub for CTAB-GAN+☆76Updated last year
- ☆482Updated 10 months ago
- Official git for "CTAB-GAN: Effective Table Data Synthesizing"☆86Updated last year
- A framework for prototyping and benchmarking imputation methods☆184Updated 2 years ago
- Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""☆150Updated 11 months ago
- Official git for "TabuLa: Harnessing Language Models for Tabular Data Synthesis"☆39Updated last month
- A repo for transfer learning with deep tabular models☆104Updated 2 years ago
- Evaluate real and synthetic datasets against each other☆89Updated this week
- Compare and ensemble models without retraining☆64Updated this week
- We well know GANs for success in the realistic image generation. However, they can be applied in tabular data generation. We will review …☆552Updated 3 weeks ago
- ☆310Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆194Updated 4 months ago
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆73Updated 2 weeks ago
- ☆27Updated 2 years ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆269Updated 7 months ago
- WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)☆160Updated 2 years ago
- Tabular Deep Learning Library for PyTorch☆676Updated last week
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆84Updated last week
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- ☆66Updated 2 years ago
- For calculating global feature importance using Shapley values.☆271Updated last week
- Python package for conformal prediction☆509Updated 2 months ago