yandex-research / tabmLinks
(ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling
☆940Updated 2 months ago
Alternatives and similar repositories for tabm
Users that are interested in tabm are comparing it to the libraries listed below
Sorting:
- ML models + benchmark for tabular data classification and regression☆322Updated 3 weeks ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆401Updated 9 months ago
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆317Updated 2 months ago
- Research on Tabular Deep Learning: Papers & Packages☆1,099Updated last year
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…☆287Updated 2 weeks ago
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,060Updated 3 weeks ago
- A Living Benchmark for Machine Learning on Tabular Data☆179Updated this week
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆314Updated last year
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆301Updated 2 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆673Updated 2 weeks ago
- A unified framework for Deep Learning Models on tabular data☆1,623Updated this week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆241Updated this week
- Tabular Deep Learning Library for PyTorch☆763Updated this week
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆339Updated last week
- Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training☆197Updated 7 months ago
- ☆503Updated last year
- A lightweight and fast auto-ml library☆82Updated 5 months ago
- An extension of LightGBM to probabilistic modelling☆358Updated last month
- Tabular In-Context Learning☆104Updated 10 months ago
- Tsururu is a Python-based library that provides a wide range of multi-series and multi-point-ahead prediction strategies, compatible with…☆212Updated 4 months ago
- A python module that uses hill climbing to iteratively blend machine learning model predictions.☆64Updated last year
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆643Updated last year
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆177Updated last year
- (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆86Updated 7 months ago
- Yunbase,first submission of your algorithm competition☆62Updated last month
- The best repository showing why transformers might not be the answer for time series forecasting and showcasing the best SOTA non transfo…☆817Updated 2 weeks ago
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆460Updated 4 years ago
- Python package for conformal prediction☆552Updated 3 months ago
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated this week
- xRFM: Accurate, scalable, and interpretable feature learning models for tabular data☆71Updated 2 weeks ago